{
  "aboutHtml": "<p>Gemini 4 Argon (batch) adalah varian berlabel batch yang diterbitkan dari model penalaran multimodal Google. Varian ini mempertahankan fokus keluarga model Argon pada rekayasa perangkat lunak, analisis matematika dan ilmiah, serta penalaran beberapa langkah atas kumpulan bukti besar. Catatan menerima teks, gambar, audio, video, dan berkas seperti PDF lalu mengembalikan teks.</p><h4>Susun kumpulan tugas independen</h4><p>Beban kerja batch yang berguna berisi banyak item yang ditentukan secara jelas dengan persyaratan hasil yang sebanding. Kumpulan dokumen dapat menggunakan satu rubrik ekstraksi atau perbandingan untuk semua item. Beban kerja peninjauan kode dapat menentukan pertanyaan peninjauan yang sama untuk serangkaian perubahan. Kumpulan penelitian dapat meminta bidang bukti yang sama dari setiap paket sumber.</p><p>Berikan setiap item pekerjaan identitas yang disimpan aplikasi di sekitarnya bersama masukan dan hasil. Pertahankan instruksi tetap stabil ketika pekerjaan dapat dibandingkan, sambil menempatkan bukti dan pertanyaan khusus item dalam tugas individual. Ini memudahkan perbandingan keluaran selesai tanpa membingungkan satu dokumen atau perubahan repositori dengan yang lain.</p><h4>Konteks panjang dengan kontrak keluaran yang presisi</h4><p>Jendela konteks yang diterbitkan adalah 1.048.576 token. Pertahankan materi sumber yang terkait bersama dan identifikasi batas dokumen, nama berkas, atau bagian yang penting untuk tugas. Minta keluaran yang melayani tujuan kumpulan: perubahan yang ditinjau, tabel bukti, kumpulan temuan terstruktur, atau laporan ringkas.</p><p>Varian batch menerbitkan penalaran wajib dengan tingkat upaya low, medium, dan high. Sesuaikan upaya dengan pertanyaan yang harus diselesaikan dan pertahankan format jawaban eksplisit. Ketika respons digunakan proses lain, kemampuan keluaran terstruktur yang diterbitkan dapat mendukung bidang yang tetap sebanding di seluruh kumpulan. Pemanggilan alat juga dicantumkan sebagai fitur model; aplikasi mendefinisikan dan menjalankan alat yang disediakan untuk tugas.</p><h4>Pertahankan identitas varian bersama pekerjaan</h4><p>Entri standar dan batch memiliki pengenal yang diterbitkan secara terpisah dalam keluarga Argon. Pertahankan akhiran batch yang persis saat memilih varian ini dan simpan pilihan bersama artefak yang selesai. Gunakan kapasitas dan persyaratan keluaran varian yang dipilih sendiri saat mengatur kumpulan.</p><p>Untuk jawaban besar, rencanakan konten yang diharapkan dan alokasi keluaran profil batch pilihan sebelum memilih ukuran item pekerjaan. Halaman sumber batch membahas keluaran panjang secara terpisah dari entri standar. Pertahankan varian batch dan alokasi keluaran yang dipilih bersama kumpulan agar setiap item mengikuti rencana keluaran yang sama.</p><h4>Bandingkan keluaran secara konsisten</h4><p>Gunakan sampel yang mewakili kumpulan untuk menilai apakah instruksi yang dipilih menghasilkan bukti dan tingkat detail yang diperlukan. Pertahankan referensi dokumen, temuan yang diekstrak, dan pertanyaan terbuka bersama dalam setiap hasil. Jika item membutuhkan revisi, simpan bukti dan pilihan aslinya agar hasil yang dikoreksi tetap sebanding dengan bagian lain dalam kumpulan.</p><h4>Kemampuan</h4><ul><li>Pengenal Argon terpisah yang dipublikasikan dengan label <code>batch</code>.</li><li>Masukan teks, gambar, audio, video, dan dokumen dengan keluaran teks.</li><li>Jendela konteks 1.048.576 token yang dipublikasikan.</li><li>Penalaran wajib dan dukungan pemanggilan alat yang dipublikasikan.</li><li>Keluaran terstruktur yang dipandu skema untuk hasil yang dapat dibandingkan.</li></ul><h4>Kasus penggunaan</h4><ul><li><strong>Tinjauan koleksi dokumen</strong> — Rubrik tinjauan yang konsisten dan satu paket sumber teridentifikasi per item. Hasil: Temuan yang dapat dibandingkan dengan referensi dokumen tetap disimpan.</li><li><strong>Koleksi tinjauan perubahan</strong> — Serangkaian perubahan kode dengan perilaku yang sama dan kriteria pengujian bersama. Hasil: Hasil tinjauan teridentifikasi untuk setiap perubahan.</li><li><strong>Pemrosesan riset terstruktur</strong> — Kumpulan bukti independen dengan kolom hasil yang diminta yang sama. Hasil: Koleksi temuan terstruktur yang siap dibandingkan.</li><li><strong>Sintesis bentuk panjang</strong> — Paket masukan besar yang saling terkait dan kerangka laporan yang ditentukan. Hasil: Artefak teks yang cukup besar dalam batas penyelesaian profil <code>batch</code> yang dipilih.</li></ul><h4>Batasan</h4><ul><li><strong>Konteks</strong> — Jendela konteks pemrosesan batch yang dipublikasikan: 1.048.576 token.</li><li><strong>Varian</strong> — Pisahkan google/gemini-4-argon:batch dari pengenal standar.</li><li><strong>Perencanaan keluaran</strong> — Pilih ukuran item kerja berdasarkan batas penyelesaian profil <code>batch</code> yang dipilih; nyatakan format hasil yang dituju secara jelas.</li><li><strong>Penalaran</strong> — Penalaran wajib; tingkat upaya rendah (<code>low</code>), sedang (<code>medium</code>), dan tinggi (<code>high</code>) dipublikasikan.</li></ul>",
  "aboutText": "Gemini 4 Argon (batch) adalah varian berlabel batch yang diterbitkan dari model penalaran multimodal Google. Varian ini mempertahankan fokus keluarga model Argon pada rekayasa perangkat lunak, analisis matematika dan ilmiah, serta penalaran beberapa langkah atas kumpulan bukti besar. Catatan menerima teks, gambar, audio, video, dan berkas seperti PDF lalu mengembalikan teks.\n\n### Susun kumpulan tugas independen\n\nBeban kerja batch yang berguna berisi banyak item yang ditentukan secara jelas dengan persyaratan hasil yang sebanding. Kumpulan dokumen dapat menggunakan satu rubrik ekstraksi atau perbandingan untuk semua item. Beban kerja peninjauan kode dapat menentukan pertanyaan peninjauan yang sama untuk serangkaian perubahan. Kumpulan penelitian dapat meminta bidang bukti yang sama dari setiap paket sumber.\n\nBerikan setiap item pekerjaan identitas yang disimpan aplikasi di sekitarnya bersama masukan dan hasil. Pertahankan instruksi tetap stabil ketika pekerjaan dapat dibandingkan, sambil menempatkan bukti dan pertanyaan khusus item dalam tugas individual. Ini memudahkan perbandingan keluaran selesai tanpa membingungkan satu dokumen atau perubahan repositori dengan yang lain.\n\n### Konteks panjang dengan kontrak keluaran yang presisi\n\nJendela konteks yang diterbitkan adalah 1.048.576 token. Pertahankan materi sumber yang terkait bersama dan identifikasi batas dokumen, nama berkas, atau bagian yang penting untuk tugas. Minta keluaran yang melayani tujuan kumpulan: perubahan yang ditinjau, tabel bukti, kumpulan temuan terstruktur, atau laporan ringkas.\n\nVarian batch menerbitkan penalaran wajib dengan tingkat upaya low, medium, dan high. Sesuaikan upaya dengan pertanyaan yang harus diselesaikan dan pertahankan format jawaban eksplisit. Ketika respons digunakan proses lain, kemampuan keluaran terstruktur yang diterbitkan dapat mendukung bidang yang tetap sebanding di seluruh kumpulan. Pemanggilan alat juga dicantumkan sebagai fitur model; aplikasi mendefinisikan dan menjalankan alat yang disediakan untuk tugas.\n\n### Pertahankan identitas varian bersama pekerjaan\n\nEntri standar dan batch memiliki pengenal yang diterbitkan secara terpisah dalam keluarga Argon. Pertahankan akhiran batch yang persis saat memilih varian ini dan simpan pilihan bersama artefak yang selesai. Gunakan kapasitas dan persyaratan keluaran varian yang dipilih sendiri saat mengatur kumpulan.\n\nUntuk jawaban besar, rencanakan konten yang diharapkan dan alokasi keluaran profil batch pilihan sebelum memilih ukuran item pekerjaan. Halaman sumber batch membahas keluaran panjang secara terpisah dari entri standar. Pertahankan varian batch dan alokasi keluaran yang dipilih bersama kumpulan agar setiap item mengikuti rencana keluaran yang sama.\n\n### Bandingkan keluaran secara konsisten\n\nGunakan sampel yang mewakili kumpulan untuk menilai apakah instruksi yang dipilih menghasilkan bukti dan tingkat detail yang diperlukan. Pertahankan referensi dokumen, temuan yang diekstrak, dan pertanyaan terbuka bersama dalam setiap hasil. Jika item membutuhkan revisi, simpan bukti dan pilihan aslinya agar hasil yang dikoreksi tetap sebanding dengan bagian lain dalam kumpulan.\n\n### Kemampuan\n\n- Pengenal Argon terpisah yang dipublikasikan dengan label `batch`.\n- Masukan teks, gambar, audio, video, dan dokumen dengan keluaran teks.\n- Jendela konteks 1.048.576 token yang dipublikasikan.\n- Penalaran wajib dan dukungan pemanggilan alat yang dipublikasikan.\n- Keluaran terstruktur yang dipandu skema untuk hasil yang dapat dibandingkan.\n\n### Kasus penggunaan\n\n- **Tinjauan koleksi dokumen** — Rubrik tinjauan yang konsisten dan satu paket sumber teridentifikasi per item. Hasil: Temuan yang dapat dibandingkan dengan referensi dokumen tetap disimpan.\n- **Koleksi tinjauan perubahan** — Serangkaian perubahan kode dengan perilaku yang sama dan kriteria pengujian bersama. Hasil: Hasil tinjauan teridentifikasi untuk setiap perubahan.\n- **Pemrosesan riset terstruktur** — Kumpulan bukti independen dengan kolom hasil yang diminta yang sama. Hasil: Koleksi temuan terstruktur yang siap dibandingkan.\n- **Sintesis bentuk panjang** — Paket masukan besar yang saling terkait dan kerangka laporan yang ditentukan. Hasil: Artefak teks yang cukup besar dalam batas penyelesaian profil `batch` yang dipilih.\n\n### Batasan\n\n- **Konteks** — Jendela konteks pemrosesan batch yang dipublikasikan: 1.048.576 token.\n- **Varian** — Pisahkan google/gemini-4-argon:batch dari pengenal standar.\n- **Perencanaan keluaran** — Pilih ukuran item kerja berdasarkan batas penyelesaian profil `batch` yang dipilih; nyatakan format hasil yang dituju secara jelas.\n- **Penalaran** — Penalaran wajib; tingkat upaya rendah (`low`), sedang (`medium`), dan tinggi (`high`) dipublikasikan.\n",
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      "html": "<div class=\"sheet-head\"><span class=\"mav\" aria-hidden=\"true\">G</span><h2 id=\"sheet-title\">Google: Gemini 4 Argon (batch)</h2><button class=\"icon-btn\" type=\"button\" data-close-sheet aria-label=\"Tutup\">×</button></div><div class=\"idline\"><span>Google /</span><code>google/gemini-4-argon:batch</code><button type=\"button\" id=\"copy-id\">Salin ID</button></div><nav class=\"card-jump-nav\" aria-label=\"Bagian kartu model\"><button type=\"button\" data-card-jump=\"overview\">Mulai</button><button type=\"button\" data-card-jump=\"methods\">Masukan &amp; metode</button><button type=\"button\" data-card-jump=\"pricing\">Paket</button><button type=\"button\" data-card-jump=\"examples\">Contoh</button><button type=\"button\" data-card-jump=\"results\">Hasil</button><button type=\"button\" data-card-jump=\"aliases\">Alias</button></nav><div class=\"card-method-tabs\" role=\"tablist\" aria-label=\"Metode API\"><button type=\"button\" role=\"tab\" tabindex=\"0\" aria-controls=\"card-method-content\" aria-selected=\"true\" id=\"card-method-tab-0\" data-card-method=\"Ultra|batches|/v1/batches|google%2Fgemini-4-argon%3Abatch\">Batch</button></div><div id=\"card-method-content\" role=\"tabpanel\" aria-labelledby=\"card-method-tab-0\"><section class=\"card-section\" data-card-section=\"overview\"><h3 tabindex=\"-1\">Mulai</h3><p class=\"mdesc-full\">Gemini 4 Argon (batch) adalah varian batch yang dicantumkan secara terpisah dari model penalaran konteks panjang Google. Model ini menerima teks, gambar, audio, video, dan dokumen serta menghasilkan teks, dengan fitur pemanggilan alat dan keluaran terstruktur. Bedakan pengenal dan alokasi keluarannya dari Argon standar saat mengatur pekerjaan batch.</p><dl class=\"card-io\" data-card-io><div><dt>Masukan yang diterima</dt><dd>Teks</dd></div><div><dt>Hasil</dt><dd>Teks</dd></div></dl><details class=\"card-about\"><summary>Tentang model</summary><p class=\"note-s\" data-model-method-boundary>Deskripsi ini mencakup kemampuan model. Masukan, keluaran, dan opsi yang tersedia di Ailoot tercantum di bawah untuk metode yang dipilih.</p><div class=\"mabout\" id=\"m-about\"><p>Gemini 4 Argon (batch) adalah varian berlabel batch yang diterbitkan dari model penalaran multimodal Google. Varian ini mempertahankan fokus keluarga model Argon pada rekayasa perangkat lunak, analisis matematika dan ilmiah, serta penalaran beberapa langkah atas kumpulan bukti besar. Catatan menerima teks, gambar, audio, video, dan berkas seperti PDF lalu mengembalikan teks.</p><h4>Susun kumpulan tugas independen</h4><p>Beban kerja batch yang berguna berisi banyak item yang ditentukan secara jelas dengan persyaratan hasil yang sebanding. Kumpulan dokumen dapat menggunakan satu rubrik ekstraksi atau perbandingan untuk semua item. Beban kerja peninjauan kode dapat menentukan pertanyaan peninjauan yang sama untuk serangkaian perubahan. Kumpulan penelitian dapat meminta bidang bukti yang sama dari setiap paket sumber.</p><p>Berikan setiap item pekerjaan identitas yang disimpan aplikasi di sekitarnya bersama masukan dan hasil. Pertahankan instruksi tetap stabil ketika pekerjaan dapat dibandingkan, sambil menempatkan bukti dan pertanyaan khusus item dalam tugas individual. Ini memudahkan perbandingan keluaran selesai tanpa membingungkan satu dokumen atau perubahan repositori dengan yang lain.</p><h4>Konteks panjang dengan kontrak keluaran yang presisi</h4><p>Jendela konteks yang diterbitkan adalah 1.048.576 token. Pertahankan materi sumber yang terkait bersama dan identifikasi batas dokumen, nama berkas, atau bagian yang penting untuk tugas. Minta keluaran yang melayani tujuan kumpulan: perubahan yang ditinjau, tabel bukti, kumpulan temuan terstruktur, atau laporan ringkas.</p><p>Varian batch menerbitkan penalaran wajib dengan tingkat upaya low, medium, dan high. Sesuaikan upaya dengan pertanyaan yang harus diselesaikan dan pertahankan format jawaban eksplisit. Ketika respons digunakan proses lain, kemampuan keluaran terstruktur yang diterbitkan dapat mendukung bidang yang tetap sebanding di seluruh kumpulan. Pemanggilan alat juga dicantumkan sebagai fitur model; aplikasi mendefinisikan dan menjalankan alat yang disediakan untuk tugas.</p><h4>Pertahankan identitas varian bersama pekerjaan</h4><p>Entri standar dan batch memiliki pengenal yang diterbitkan secara terpisah dalam keluarga Argon. Pertahankan akhiran batch yang persis saat memilih varian ini dan simpan pilihan bersama artefak yang selesai. Gunakan kapasitas dan persyaratan keluaran varian yang dipilih sendiri saat mengatur kumpulan.</p><p>Untuk jawaban besar, rencanakan konten yang diharapkan dan alokasi keluaran profil batch pilihan sebelum memilih ukuran item pekerjaan. Halaman sumber batch membahas keluaran panjang secara terpisah dari entri standar. Pertahankan varian batch dan alokasi keluaran yang dipilih bersama kumpulan agar setiap item mengikuti rencana keluaran yang sama.</p><h4>Bandingkan keluaran secara konsisten</h4><p>Gunakan sampel yang mewakili kumpulan untuk menilai apakah instruksi yang dipilih menghasilkan bukti dan tingkat detail yang diperlukan. Pertahankan referensi dokumen, temuan yang diekstrak, dan pertanyaan terbuka bersama dalam setiap hasil. Jika item membutuhkan revisi, simpan bukti dan pilihan aslinya agar hasil yang dikoreksi tetap sebanding dengan bagian lain dalam kumpulan.</p><h4>Kemampuan</h4><ul><li>Pengenal Argon terpisah yang dipublikasikan dengan label <code>batch</code>.</li><li>Masukan teks, gambar, audio, video, dan dokumen dengan keluaran teks.</li><li>Jendela konteks 1.048.576 token yang dipublikasikan.</li><li>Penalaran wajib dan dukungan pemanggilan alat yang dipublikasikan.</li><li>Keluaran terstruktur yang dipandu skema untuk hasil yang dapat dibandingkan.</li></ul><h4>Kasus penggunaan</h4><ul><li><strong>Tinjauan koleksi dokumen</strong> — Rubrik tinjauan yang konsisten dan satu paket sumber teridentifikasi per item. Hasil: Temuan yang dapat dibandingkan dengan referensi dokumen tetap disimpan.</li><li><strong>Koleksi tinjauan perubahan</strong> — Serangkaian perubahan kode dengan perilaku yang sama dan kriteria pengujian bersama. Hasil: Hasil tinjauan teridentifikasi untuk setiap perubahan.</li><li><strong>Pemrosesan riset terstruktur</strong> — Kumpulan bukti independen dengan kolom hasil yang diminta yang sama. Hasil: Koleksi temuan terstruktur yang siap dibandingkan.</li><li><strong>Sintesis bentuk panjang</strong> — Paket masukan besar yang saling terkait dan kerangka laporan yang ditentukan. Hasil: Artefak teks yang cukup besar dalam batas penyelesaian profil <code>batch</code> yang dipilih.</li></ul><h4>Batasan</h4><ul><li><strong>Konteks</strong> — Jendela konteks pemrosesan batch yang dipublikasikan: 1.048.576 token.</li><li><strong>Varian</strong> — Pisahkan google/gemini-4-argon:batch dari pengenal standar.</li><li><strong>Perencanaan keluaran</strong> — Pilih ukuran item kerja berdasarkan batas penyelesaian profil <code>batch</code> yang dipilih; nyatakan format hasil yang dituju secara jelas.</li><li><strong>Penalaran</strong> — Penalaran wajib; tingkat upaya rendah (<code>low</code>), sedang (<code>medium</code>), dan tinggi (<code>high</code>) dipublikasikan.</li></ul></div></details></section><section class=\"card-section\" data-card-section=\"methods\"><h3 tabindex=\"-1\">Tersedia di Ailoot · masukan &amp; metode</h3><details class=\"card-method\" open><summary><b>Ailoot Ultra · Batch</b> <code>POST /v1/batches</code></summary><dl class=\"method-capabilities\"><div><dt>Masukan</dt><dd><code>text</code></dd></div><div><dt>Keluaran</dt><dd><code>text</code></dd></div><div><dt>Format keluaran</dt><dd>JSON inline pada results[].response.body</dd></div></dl><div class=\"tw\" data-card-parameters data-typed-parameters><table><thead><tr><th>Kolom</th><th>Jenis</th><th>Persyaratan</th><th>Nilai &amp; batasan</th><th>Bawaan</th></tr></thead><tbody><tr data-parameter-availability=\"source_interface\"><th data-cell-label=\"Kolom\" scope=\"row\"><span class=\"card-cell-label\">Kolom</span><code class=\"card-field-name\">endpoint</code></th><td data-cell-label=\"Jenis\" data-field-type><span class=\"card-cell-label\">Jenis</span><code>string</code></td><td data-cell-label=\"Persyaratan\"><span class=\"card-cell-label\">Persyaratan</span>Wajib</td><td data-cell-label=\"Nilai &amp; batasan\"><span class=\"card-cell-label\">Nilai &amp; batasan</span><div>/v1/chat/completions</div></td><td data-cell-label=\"Bawaan\" data-default=\"unspecified\"><span class=\"card-cell-label\">Bawaan</span>—</td></tr><tr data-parameter-availability=\"source_interface\"><th data-cell-label=\"Kolom\" scope=\"row\"><span class=\"card-cell-label\">Kolom</span><code class=\"card-field-name\">model</code></th><td data-cell-label=\"Jenis\" data-field-type><span class=\"card-cell-label\">Jenis</span><code>string</code></td><td data-cell-label=\"Persyaratan\"><span class=\"card-cell-label\">Persyaratan</span>Wajib</td><td data-cell-label=\"Nilai &amp; batasan\"><span class=\"card-cell-label\">Nilai &amp; batasan</span><div>google/gemini-4-argon:batch</div></td><td data-cell-label=\"Bawaan\" data-default=\"unspecified\"><span class=\"card-cell-label\">Bawaan</span>—</td></tr><tr data-parameter-availability=\"source_interface\"><th data-cell-label=\"Kolom\" scope=\"row\"><span class=\"card-cell-label\">Kolom</span><code class=\"card-field-name\">requests</code></th><td data-cell-label=\"Jenis\" data-field-type><span class=\"card-cell-label\">Jenis</span><code>batch_item[]</code></td><td data-cell-label=\"Persyaratan\"><span class=\"card-cell-label\">Persyaratan</span>Wajib</td><td data-cell-label=\"Nilai &amp; batasan\"><span class=\"card-cell-label\">Nilai &amp; batasan</span><div>Item minimum: 1</div></td><td data-cell-label=\"Bawaan\" data-default=\"unspecified\"><span class=\"card-cell-label\">Bawaan</span>—</td></tr><tr data-parameter-availability=\"source_interface\"><th data-cell-label=\"Kolom\" scope=\"row\"><span class=\"card-cell-label\">Kolom</span><code class=\"card-field-name\">requests[].custom_id</code></th><td data-cell-label=\"Jenis\" data-field-type><span class=\"card-cell-label\">Jenis</span><code>string</code></td><td data-cell-label=\"Persyaratan\"><span class=\"card-cell-label\">Persyaratan</span>Wajib</td><td data-cell-label=\"Nilai &amp; batasan\"><span class=\"card-cell-label\">Nilai &amp; batasan</span></td><td data-cell-label=\"Bawaan\" data-default=\"unspecified\"><span class=\"card-cell-label\">Bawaan</span>—</td></tr><tr data-parameter-availability=\"source_interface\"><th data-cell-label=\"Kolom\" scope=\"row\"><span class=\"card-cell-label\">Kolom</span><code class=\"card-field-name\">requests[].body.messages</code></th><td data-cell-label=\"Jenis\" data-field-type><span class=\"card-cell-label\">Jenis</span><code>message[]</code></td><td data-cell-label=\"Persyaratan\"><span class=\"card-cell-label\">Persyaratan</span>Wajib</td><td data-cell-label=\"Nilai &amp; batasan\"><span class=\"card-cell-label\">Nilai &amp; batasan</span></td><td data-cell-label=\"Bawaan\" data-default=\"unspecified\"><span class=\"card-cell-label\">Bawaan</span>—</td></tr><tr data-parameter-availability=\"source_interface\"><th data-cell-label=\"Kolom\" scope=\"row\"><span class=\"card-cell-label\">Kolom</span><code class=\"card-field-name\">completion_window</code></th><td data-cell-label=\"Jenis\" data-field-type><span class=\"card-cell-label\">Jenis</span><code>string</code></td><td data-cell-label=\"Persyaratan\"><span class=\"card-cell-label\">Persyaratan</span>Opsional</td><td data-cell-label=\"Nilai &amp; batasan\"><span class=\"card-cell-label\">Nilai &amp; batasan</span><div>24h</div></td><td data-cell-label=\"Bawaan\" data-default=\"unspecified\"><span class=\"card-cell-label\">Bawaan</span>—</td></tr><tr data-parameter-availability=\"source_interface\"><th data-cell-label=\"Kolom\" scope=\"row\"><span class=\"card-cell-label\">Kolom</span><code class=\"card-field-name\">provider</code></th><td data-cell-label=\"Jenis\" data-field-type><span class=\"card-cell-label\">Jenis</span><code>object|null</code></td><td data-cell-label=\"Persyaratan\"><span class=\"card-cell-label\">Persyaratan</span>Opsional</td><td data-cell-label=\"Nilai &amp; batasan\"><span class=\"card-cell-label\">Nilai &amp; batasan</span></td><td data-cell-label=\"Bawaan\" data-default=\"unspecified\"><span class=\"card-cell-label\">Bawaan</span>—</td></tr><tr data-parameter-availability=\"source_interface\"><th data-cell-label=\"Kolom\" scope=\"row\"><span class=\"card-cell-label\">Kolom</span><code class=\"card-field-name\">requests[].body.model</code></th><td data-cell-label=\"Jenis\" data-field-type><span class=\"card-cell-label\">Jenis</span><code>string</code></td><td data-cell-label=\"Persyaratan\"><span class=\"card-cell-label\">Persyaratan</span>Opsional</td><td data-cell-label=\"Nilai &amp; batasan\"><span class=\"card-cell-label\">Nilai &amp; batasan</span><div>google/gemini-4-argon:batch, google/gemini-4-argon</div></td><td data-cell-label=\"Bawaan\" data-default=\"unspecified\"><span class=\"card-cell-label\">Bawaan</span>—</td></tr><tr data-parameter-availability=\"source_interface\"><th data-cell-label=\"Kolom\" scope=\"row\"><span class=\"card-cell-label\">Kolom</span><code class=\"card-field-name\">provider.only</code></th><td data-cell-label=\"Jenis\" data-field-type><span class=\"card-cell-label\">Jenis</span><code>string[]</code></td><td data-cell-label=\"Persyaratan\"><span class=\"card-cell-label\">Persyaratan</span>Opsional</td><td data-cell-label=\"Nilai &amp; batasan\"><span class=\"card-cell-label\">Nilai &amp; batasan</span><div>google-vertex/global</div></td><td data-cell-label=\"Bawaan\" data-default=\"unspecified\"><span class=\"card-cell-label\">Bawaan</span>—</td></tr><tr data-parameter-availability=\"source_interface\"><th data-cell-label=\"Kolom\" scope=\"row\"><span class=\"card-cell-label\">Kolom</span><code class=\"card-field-name\">provider.allow_fallbacks</code></th><td data-cell-label=\"Jenis\" data-field-type><span class=\"card-cell-label\">Jenis</span><code>boolean|null</code></td><td data-cell-label=\"Persyaratan\"><span class=\"card-cell-label\">Persyaratan</span>Opsional</td><td data-cell-label=\"Nilai &amp; batasan\"><span class=\"card-cell-label\">Nilai &amp; batasan</span><div>false, null</div></td><td data-cell-label=\"Bawaan\" data-default=\"unspecified\"><span class=\"card-cell-label\">Bawaan</span>—</td></tr></tbody></table></div><details class=\"note-s\" data-method-contract><summary>Parameter metode dan siklus hidup</summary><div class=\"tw\" data-card-table=\"contract\"><table><thead><tr><th>Parameter</th><th>Kontrak</th></tr></thead><tbody><tr><th data-cell-label=\"Parameter\" scope=\"row\"><span class=\"card-cell-label\">Parameter</span><code>content_type</code></th><td data-cell-label=\"Kontrak\"><span class=\"card-cell-label\">Kontrak</span>application/json</td></tr><tr><th data-cell-label=\"Parameter\" scope=\"row\"><span class=\"card-cell-label\">Parameter</span><code>required</code></th><td data-cell-label=\"Kontrak\"><span class=\"card-cell-label\">Kontrak</span>endpoint, model, requests</td></tr><tr><th data-cell-label=\"Parameter\" scope=\"row\"><span class=\"card-cell-label\">Parameter</span><code>material_types</code></th><td data-cell-label=\"Kontrak\"><span class=\"card-cell-label\">Kontrak</span>text</td></tr><tr><th data-cell-label=\"Parameter\" scope=\"row\"><span class=\"card-cell-label\">Parameter</span><code>representation</code></th><td data-cell-label=\"Kontrak\"><span class=\"card-cell-label\">Kontrak</span>requests[] inline; setiap item memiliki custom_id dan body</td></tr><tr><th data-cell-label=\"Parameter\" scope=\"row\"><span class=\"card-cell-label\">Parameter</span><code>request_endpoint_profile</code></th><td data-cell-label=\"Kontrak\"><span class=\"card-cell-label\">Kontrak</span>/v1/chat/completions</td></tr><tr><th data-cell-label=\"Parameter\" scope=\"row\"><span class=\"card-cell-label\">Parameter</span><code>file_material</code></th><td data-cell-label=\"Kontrak\"><span class=\"card-cell-label\">Kontrak</span>Pemanggil dapat membaca JSONL UTF-8 aktual secara lokal ke dalam requests[]. Tidak menggunakan purpose unggahan, input_file_id, atau referensi file. Materi pelanggan yang tidak ada atau kosong menghentikan persiapan sebelum POST.</td></tr><tr><th data-cell-label=\"Parameter\" scope=\"row\"><span class=\"card-cell-label\">Parameter</span><code>serialization_order</code></th><td data-cell-label=\"Kontrak\"><span class=\"card-cell-label\">Kontrak</span>endpoint, model, provider (jika disertakan), completion_window (jika disertakan), requests paling akhir</td></tr><tr><th data-cell-label=\"Parameter\" scope=\"row\"><span class=\"card-cell-label\">Parameter</span><code>optional_controls</code></th><td data-cell-label=\"Kontrak\"><span class=\"card-cell-label\">Kontrak</span>provider.only, provider.allow_fallbacks, completion_window</td></tr><tr><th data-cell-label=\"Parameter\" scope=\"row\"><span class=\"card-cell-label\">Parameter</span><code>schema_scope</code></th><td data-cell-label=\"Kontrak\"><span class=\"card-cell-label\">Kontrak</span>body teks Chat Completions dalam envelope Batch inline yang didokumentasikan.</td></tr></tbody></table></div><p>Siklus hidup: <code>asynchronous</code></p><p class=\"note-s\"><code>GET /v1/batches/{operation_id}</code> · response.id aktual dari operasi create awal; user/key/group yang sama</p></details></details></section><section class=\"card-section\" data-card-section=\"pricing\"><h3 tabindex=\"-1\">Paket</h3><div data-native-semantic-method=\"v1\" data-tariff-reference-only><p class=\"note-s\" data-rate-support-note>Referensi tarif tidak menambah opsi permintaan. Parameter yang didukung tercantum pada metode yang dipilih.</p><dl data-price-conditions><dt>Mode Fast</dt><dd>Tidak ditentukan <span class=\"note-s\">Saat mode fast dipilih</span></dd><dt>Mode Flex</dt><dd>Tidak ditentukan <span class=\"note-s\">Saat mode flex dipilih</span></dd><dt>Upaya penalaran maksimum</dt><dd>Tidak ditentukan <span class=\"note-s\">Saat upaya penalaran maksimum menggunakan penyesuaian default</span></dd><dt>Harga cache eksplisit</dt><dd>Tidak diaktifkan <span class=\"note-s\">Saat cache eksplisit diminta</span></dd></dl></div><div data-declared-tariff-pricing><h4>Tarif Ailoot</h4><h4>Harga menurut konfigurasi</h4><p class=\"note-s\">Cocokkan setiap biaya dengan kondisi yang ditampilkan. Gunakan satu tarif untuk setiap kelompok konfigurasi alternatif.</p><div class=\"tw\" data-pricing-profiles><table><thead><tr><th>Konfigurasi</th><th>Jadwal tarif</th><th>Token konteks, lebih dari</th><th>Token konteks, hingga dan termasuk</th><th>Biaya</th></tr></thead><tbody><tr><th data-cell-label=\"Konfigurasi\" scope=\"row\"><span class=\"card-cell-label\">Konfigurasi</span>Tarif dasar token</th><td data-cell-label=\"Jadwal tarif\"><span class=\"card-cell-label\">Jadwal tarif</span>Tarif dasar</td><td data-cell-label=\"Token konteks, lebih dari\"><span class=\"card-cell-label\">Token konteks, lebih dari</span>—</td><td data-cell-label=\"Token konteks, hingga dan termasuk\"><span class=\"card-cell-label\">Token konteks, hingga dan termasuk</span>Tanpa batas atas</td><td data-cell-label=\"Biaya\"><span class=\"card-cell-label\">Biaya</span><div><span>Masukan · Token masukan</span> <b>$0.002</b> <span class=\"price-unit\">/ 1K token</span></div><div><span>Keluaran · Token keluaran</span> <b>$0.01</b> <span class=\"price-unit\">/ 1K token</span></div><div><span>Masukan · Pembacaan cache</span> <b>$0.0001</b> <span class=\"price-unit\">/ 1K token</span></div><div><span>Masukan · Penulisan cache</span> <b>$0.000375</b> <span class=\"price-unit\">/ 1K token</span></div><div><span>Masukan · Penulisan cache, 1 jam</span> <b>—</b> <span class=\"price-unit\">/ 1K token</span></div></td></tr><tr><th data-cell-label=\"Konfigurasi\" scope=\"row\"><span class=\"card-cell-label\">Konfigurasi</span>Panjang permintaan · tingkat 1</th><td data-cell-label=\"Jadwal tarif\"><span class=\"card-cell-label\">Jadwal tarif</span>—</td><td data-cell-label=\"Token konteks, lebih dari\"><span class=\"card-cell-label\">Token konteks, lebih dari</span>0</td><td data-cell-label=\"Token konteks, hingga dan termasuk\"><span class=\"card-cell-label\">Token konteks, hingga dan termasuk</span>Tanpa batas atas</td><td data-cell-label=\"Biaya\"><span class=\"card-cell-label\">Biaya</span><div><span>Masukan · Token masukan</span> <b>$0.002</b> <span class=\"price-unit\">/ 1K token</span></div><div><span>Keluaran · Token keluaran</span> <b>$0.01</b> <span class=\"price-unit\">/ 1K token</span></div><div><span>Masukan · Pembacaan cache</span> <b>$0.0001</b> <span class=\"price-unit\">/ 1K token</span></div><div><span>Masukan · Penulisan cache</span> <b>$0.000375</b> <span class=\"price-unit\">/ 1K token</span></div><div><span>Masukan · Penulisan cache, 1 jam</span> <b>—</b> <span class=\"price-unit\">/ 1K token</span></div></td></tr></tbody></table></div></div><p class=\"note-s\">Ailoot mencadangkan perkiraan dana sebelum permintaan. Setelah hasil diterima, tagihan akhir diselesaikan berdasarkan penggunaan yang terukur. Penyelesaian tagihan streaming menggunakan catatan penggunaan akhir. <a href=\"/docs/id/billing/reserve/\">Cara kerja cadangan dan penyelesaian tagihan →</a></p></section><section class=\"card-section\" data-card-section=\"examples\"><h3 tabindex=\"-1\">Contoh permintaan</h3><h4>Ailoot Ultra · Batch</h4><div class=\"code-group\"><div class=\"cg-bar\"><div class=\"cg-tabs\" role=\"tablist\" aria-label=\"Pilihan kode\"><button class=\"cg-tab\" id=\"model-code-1484-tab-0\" role=\"tab\" type=\"button\" aria-controls=\"model-code-1484-panel-0\" aria-selected=\"true\" tabindex=\"0\">curl · fixture yang disimpan</button><button class=\"cg-tab\" id=\"model-code-1484-tab-1\" role=\"tab\" type=\"button\" aria-controls=\"model-code-1484-panel-1\" aria-selected=\"false\" tabindex=\"-1\">Python HTTP · JSONL pelanggan yang sebenarnya</button><button class=\"cg-tab\" id=\"model-code-1484-tab-2\" role=\"tab\" type=\"button\" aria-controls=\"model-code-1484-panel-2\" aria-selected=\"false\" tabindex=\"-1\">Python · simpan setiap hasil yang telah selesai</button></div><div class=\"cg-tools\"><button class=\"cg-btn cg-copy\" type=\"button\" aria-label=\"Salin kode\"><svg class=\"cp\" viewBox=\"0 0 16 16\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.4\"><rect x=\"5.25\" y=\"5.25\" width=\"8.5\" height=\"8.5\" rx=\"1.75\"/><path d=\"M10.75 5.25V3.5a1.25 1.25 0 0 0-1.25-1.25H3.5A1.25 1.25 0 0 0 2.25 3.5v6a1.25 1.25 0 0 0 1.25 1.25h1.75\"/></svg><svg class=\"ok\" viewBox=\"0 0 16 16\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.4\"><path d=\"m3 8.5 3.25 3.25L13 5\"/></svg></button></div></div><div class=\"cg-body\"><div class=\"cg-pane\" id=\"model-code-1484-panel-0\" role=\"tabpanel\" aria-labelledby=\"model-code-1484-tab-0\"><pre data-lang=\"bash\"><code>set -eu\n: &quot;${AILOOT_API_KEY:?Set your Ailoot API key}&quot;\npython3 - &lt;&lt;&#39;PY_REQUEST&#39;\nimport json\nfrom pathlib import Path\nbody=json.loads(&#39;{&quot;endpoint&quot;:&quot;/v1/chat/completions&quot;,&quot;model&quot;:&quot;google/gemini-4-argon:batch&quot;,&quot;requests&quot;:[{&quot;custom_id&quot;:&quot;req-0001&quot;,&quot;body&quot;:{&quot;messages&quot;:[{&quot;role&quot;:&quot;user&quot;,&quot;content&quot;:&quot;Hello!&quot;}],&quot;max_tokens&quot;:16}}]}&#39;)\nPath(&quot;batch-request.json&quot;).write_text(json.dumps(body,ensure_ascii=False),encoding=&quot;utf-8&quot;)\nPY_REQUEST\ncurl --fail-with-body --silent --show-error https://api.ailoot.ai/v1/batches \\\n  -H &quot;Authorization: Bearer $AILOOT_API_KEY&quot; -H &#39;Content-Type: application/json&#39; \\\n  --data-binary @batch-request.json -D batch-response-headers.txt -o batch-create-response.json\n</code></pre></div><div class=\"cg-pane\" id=\"model-code-1484-panel-1\" role=\"tabpanel\" aria-labelledby=\"model-code-1484-tab-1\" hidden><pre data-lang=\"python\"><code>import json, os\nfrom pathlib import Path\nfrom urllib.request import Request, urlopen\n\ndef prepare_requests(customer_path):\n    path = Path(customer_path)\n    if not path.is_file(): raise ValueError(&quot;Customer JSONL file is missing&quot;)\n    items = [json.loads(line) for line in path.read_text(encoding=&quot;utf-8&quot;).splitlines() if line.strip()]\n    if not items: raise ValueError(&quot;Customer JSONL contains no requests&quot;)\n    ids = set()\n    for item in items:\n        if set(item) != {&quot;custom_id&quot;, &quot;body&quot;}: raise ValueError(&quot;Each item needs custom_id and body&quot;)\n        cid = item[&quot;custom_id&quot;]\n        if not isinstance(cid, str) or not cid.strip() or cid in ids: raise ValueError(&quot;custom_id must be nonempty and unique&quot;)\n        ids.add(cid)\n        if not isinstance(item[&quot;body&quot;], dict) or not item[&quot;body&quot;].get(&quot;messages&quot;): raise ValueError(&quot;Supply actual text messages&quot;)\n        supplied_model = item[&quot;body&quot;].get(&quot;model&quot;)\n        if supplied_model is not None and supplied_model not in [&#39;google/gemini-4-argon:batch&#39;, &#39;google/gemini-4-argon&#39;]: raise ValueError(&quot;body.model must be an exact documented caller or wire ID&quot;)\n    return {&quot;endpoint&quot;:&quot;/v1/chat/completions&quot;, &quot;model&quot;:&quot;google/gemini-4-argon:batch&quot;, &quot;requests&quot;:items}\n\nif __name__ == &quot;__main__&quot;:\n    material = os.environ.get(&quot;AILOOT_BATCH_REQUESTS_JSONL&quot;, &quot;&quot;)\n    if not material: raise SystemExit(&quot;Set AILOOT_BATCH_REQUESTS_JSONL to your actual customer file&quot;)\n    body = prepare_requests(material)\n    key = os.environ.get(&quot;AILOOT_API_KEY&quot;, &quot;&quot;)\n    if not key: raise SystemExit(&quot;Set AILOOT_API_KEY&quot;)\n    request = Request(&quot;https://api.ailoot.ai/v1/batches&quot;, data=json.dumps(body, ensure_ascii=False).encode(&quot;utf-8&quot;), headers={&quot;Authorization&quot;:&quot;Bearer &quot; + key, &quot;Content-Type&quot;:&quot;application/json&quot;}, method=&quot;POST&quot;)\n    with urlopen(request) as response:\n        raw = response.read()\n        Path(&quot;batch-create-response.json&quot;).write_bytes(raw)\n        print(raw.decode(&quot;utf-8&quot;))\n</code></pre></div><div class=\"cg-pane\" id=\"model-code-1484-panel-2\" role=\"tabpanel\" aria-labelledby=\"model-code-1484-tab-2\" hidden><pre data-lang=\"python\"><code>import json\nfrom pathlib import Path\nraw = Path(&quot;batch-status-response.json&quot;).read_bytes()\nresponse = json.loads(raw)\nif response.get(&quot;status&quot;) != &quot;completed&quot;:\n    raise SystemExit(&quot;Keep the original operation; read its status without resubmitting&quot;)\nresults = response.get(&quot;results&quot;)\nif not isinstance(results, list) or not results:\n    raise SystemExit(&quot;Preserve the original response; completed results are missing&quot;)\nPath(&quot;batch-results.jsonl&quot;).write_text(&quot;&quot;.join(json.dumps(item, ensure_ascii=False) + &quot;\\n&quot; for item in results), encoding=&quot;utf-8&quot;)\n# Preserve batch-status-response.json with aggregate usage and every result/error.\n</code></pre></div></div></div></section><section class=\"card-section\" data-card-section=\"results\"><h3 tabindex=\"-1\">Terima dan simpan hasil</h3><h4>Ailoot Ultra · Batch</h4><p class=\"note-s\">JSON inline pada results[].response.body</p><ul class=\"card-result-paths\"><li><code>GET /v1/batches/{operation_id}</code></li></ul><h5>Periksa status tugas</h5><div class=\"code-group\"><div class=\"cg-bar\"><div class=\"cg-tabs\" role=\"tablist\" aria-label=\"Pilihan kode\"><button class=\"cg-tab\" id=\"model-code-1485-tab-0\" role=\"tab\" type=\"button\" aria-controls=\"model-code-1485-panel-0\" aria-selected=\"true\" tabindex=\"0\">curl · status operasi asli</button></div><div class=\"cg-tools\"><button class=\"cg-btn cg-copy\" type=\"button\" aria-label=\"Salin kode\"><svg class=\"cp\" viewBox=\"0 0 16 16\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.4\"><rect x=\"5.25\" y=\"5.25\" width=\"8.5\" height=\"8.5\" rx=\"1.75\"/><path d=\"M10.75 5.25V3.5a1.25 1.25 0 0 0-1.25-1.25H3.5A1.25 1.25 0 0 0 2.25 3.5v6a1.25 1.25 0 0 0 1.25 1.25h1.75\"/></svg><svg class=\"ok\" viewBox=\"0 0 16 16\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.4\"><path d=\"m3 8.5 3.25 3.25L13 5\"/></svg></button></div></div><div class=\"cg-body\"><div class=\"cg-pane\" id=\"model-code-1485-panel-0\" role=\"tabpanel\" aria-labelledby=\"model-code-1485-tab-0\"><pre data-lang=\"bash\"><code>set -eu\n: &quot;${AILOOT_API_KEY:?Set your Ailoot API key}&quot;\nBATCH_OPERATION_ID=&quot;$(python3 - &lt;&lt;&#39;PY_ID&#39;\nimport json\nfrom pathlib import Path\nfrom urllib.parse import quote\nresponse = json.loads(Path(&quot;batch-create-response.json&quot;).read_text(encoding=&quot;utf-8&quot;))\noperation = response.get(&quot;id&quot;)\nif not isinstance(operation, str) or not operation: raise SystemExit(&quot;No actual original operation ID; preserve the response and do not resubmit&quot;)\nprint(quote(operation, safe=&quot;&quot;))\nPY_ID\n)&quot;\ncurl --fail-with-body --silent --show-error &quot;https://api.ailoot.ai/v1/batches/$BATCH_OPERATION_ID&quot; \\\n  -H &quot;Authorization: Bearer $AILOOT_API_KEY&quot; -o batch-status-response.json\n</code></pre></div></div></div><div class=\"card-result-process\" data-all-results><h5>Simpan semua hasil yang selesai</h5><p class=\"note-s\">Simpan setiap respons lengkap, berkas, dan bagian konten yang dikembalikan.</p><p class=\"note-s\">Pertahankan JSON status asli secara lengkap, setiap result/custom_id, serta body response atau error yang lengkap. Simpan results[] yang telah selesai sebagai JSONL tanpa penyaringan.</p></div><div class=\"card-result-process\" data-unknown-recovery><h5>Jika respons asli perlu diperiksa</h5><p class=\"note-s\">Pertahankan ID operasi asli. 503 result_pending_check memiliki X-Should-Retry:false; jangan pernah kirim ulang batch asli yang statusnya tidak diketahui.</p></div><details class=\"card-about\" data-output-fields><summary>Kolom respons</summary><div class=\"tw\" data-card-table=\"output\"><table><thead><tr><th>Kolom</th><th>Jenis</th></tr></thead><tbody><tr><th data-cell-label=\"Kolom\" scope=\"row\"><span class=\"card-cell-label\">Kolom</span><code class=\"card-field-name\">results[].custom_id</code></th><td data-cell-label=\"Jenis\" data-field-type><span class=\"card-cell-label\">Jenis</span>string</td></tr><tr><th data-cell-label=\"Kolom\" scope=\"row\"><span class=\"card-cell-label\">Kolom</span><code class=\"card-field-name\">results[].response.body.choices[].message.content</code></th><td data-cell-label=\"Jenis\" data-field-type><span class=\"card-cell-label\">Jenis</span>string|null</td></tr><tr><th data-cell-label=\"Kolom\" scope=\"row\"><span class=\"card-cell-label\">Kolom</span><code class=\"card-field-name\">results[].error</code></th><td data-cell-label=\"Jenis\" data-field-type><span class=\"card-cell-label\">Jenis</span>object|null</td></tr><tr><th data-cell-label=\"Kolom\" scope=\"row\"><span class=\"card-cell-label\">Kolom</span><code class=\"card-field-name\">usage</code></th><td data-cell-label=\"Jenis\" data-field-type><span class=\"card-cell-label\">Jenis</span>object|null</td></tr><tr><th data-cell-label=\"Kolom\" scope=\"row\"><span class=\"card-cell-label\">Kolom</span><code class=\"card-field-name\">id</code></th><td data-cell-label=\"Jenis\" data-field-type><span class=\"card-cell-label\">Jenis</span>string</td></tr><tr><th data-cell-label=\"Kolom\" scope=\"row\"><span class=\"card-cell-label\">Kolom</span><code class=\"card-field-name\">model</code></th><td data-cell-label=\"Jenis\" data-field-type><span class=\"card-cell-label\">Jenis</span>string</td></tr><tr><th data-cell-label=\"Kolom\" scope=\"row\"><span class=\"card-cell-label\">Kolom</span><code class=\"card-field-name\">endpoint</code></th><td data-cell-label=\"Jenis\" data-field-type><span class=\"card-cell-label\">Jenis</span>string</td></tr><tr><th data-cell-label=\"Kolom\" scope=\"row\"><span class=\"card-cell-label\">Kolom</span><code class=\"card-field-name\">status</code></th><td data-cell-label=\"Jenis\" data-field-type><span class=\"card-cell-label\">Jenis</span>string</td></tr><tr><th data-cell-label=\"Kolom\" scope=\"row\"><span class=\"card-cell-label\">Kolom</span><code class=\"card-field-name\">request_counts</code></th><td data-cell-label=\"Jenis\" data-field-type><span class=\"card-cell-label\">Jenis</span>object</td></tr><tr><th data-cell-label=\"Kolom\" scope=\"row\"><span class=\"card-cell-label\">Kolom</span><code class=\"card-field-name\">results[].id</code></th><td data-cell-label=\"Jenis\" data-field-type><span class=\"card-cell-label\">Jenis</span>string</td></tr><tr><th data-cell-label=\"Kolom\" scope=\"row\"><span class=\"card-cell-label\">Kolom</span><code class=\"card-field-name\">results[].response.status_code</code></th><td data-cell-label=\"Jenis\" data-field-type><span class=\"card-cell-label\">Jenis</span>integer</td></tr><tr><th data-cell-label=\"Kolom\" scope=\"row\"><span class=\"card-cell-label\">Kolom</span><code class=\"card-field-name\">results[].response.request_id</code></th><td data-cell-label=\"Jenis\" data-field-type><span class=\"card-cell-label\">Jenis</span>string</td></tr></tbody></table></div></details><details class=\"card-about\" data-method-errors><summary>Kesalahan dan langkah berikutnya</summary><div class=\"tw\" data-card-table=\"errors\"><table><thead><tr><th>Respons</th><th>Kondisi</th><th>Langkah berikutnya</th></tr></thead><tbody><tr><th data-cell-label=\"Respons\" scope=\"row\"><span class=\"card-cell-label\">Respons</span>400 · <code>invalid_request_error</code></th><td data-cell-label=\"Kondisi\"><span class=\"card-cell-label\">Kondisi</span>Envelope inline yang didokumentasikan tidak valid, ada kunci duplikat, atau terdapat konflik pada identitas item atau kemampuan model yang dikonfigurasi.</td><td data-cell-label=\"Langkah berikutnya\"><span class=\"card-cell-label\">Langkah berikutnya</span>Perbaiki kolom yang ditunjukkan sebelum pengiriman baru apa pun.</td></tr><tr><th data-cell-label=\"Respons\" scope=\"row\"><span class=\"card-cell-label\">Respons</span>401 · <code>authentication_error</code></th><td data-cell-label=\"Kondisi\"><span class=\"card-cell-label\">Kondisi</span>Kunci API tidak valid.</td><td data-cell-label=\"Langkah berikutnya\"><span class=\"card-cell-label\">Langkah berikutnya</span>Gunakan kunci Ailoot yang berizin.</td></tr><tr><th data-cell-label=\"Respons\" scope=\"row\"><span class=\"card-cell-label\">Respons</span>403 · <code>permission_error</code></th><td data-cell-label=\"Kondisi\"><span class=\"card-cell-label\">Kondisi</span>Grup Batch tidak tersedia.</td><td data-cell-label=\"Langkah berikutnya\"><span class=\"card-cell-label\">Langkah berikutnya</span>Periksa hak akses key/group.</td></tr><tr><th data-cell-label=\"Respons\" scope=\"row\"><span class=\"card-cell-label\">Respons</span>422 · <code>invalid_request_error</code></th><td data-cell-label=\"Kondisi\"><span class=\"card-cell-label\">Kondisi</span>Batch menggunakan penagihan dari saldo; pembuatan dengan langganan ditolak.</td><td data-cell-label=\"Langkah berikutnya\"><span class=\"card-cell-label\">Langkah berikutnya</span>Gunakan grup berizin yang ditagih dari saldo.</td></tr><tr><th data-cell-label=\"Respons\" scope=\"row\"><span class=\"card-cell-label\">Respons</span>422 · <code>price_unavailable</code></th><td data-cell-label=\"Kondisi\"><span class=\"card-cell-label\">Kondisi</span>Penawaran harga untuk input Batch tidak dapat dibuat.</td><td data-cell-label=\"Langkah berikutnya\"><span class=\"card-cell-label\">Langkah berikutnya</span>Simpan respons; gunakan input keluarga API yang didokumentasikan.</td></tr><tr><th data-cell-label=\"Respons\" scope=\"row\"><span class=\"card-cell-label\">Respons</span>402 · <code>billing_error</code></th><td data-cell-label=\"Kondisi\"><span class=\"card-cell-label\">Kondisi</span>Cadangan Batch tidak tersedia.</td><td data-cell-label=\"Langkah berikutnya\"><span class=\"card-cell-label\">Langkah berikutnya</span>Selesaikan kendala penerimaan sebelum mengirim permintaan baru.</td></tr><tr><th data-cell-label=\"Respons\" scope=\"row\"><span class=\"card-cell-label\">Respons</span>503 · <code>price_unavailable</code></th><td data-cell-label=\"Kondisi\"><span class=\"card-cell-label\">Kondisi</span>Harga metode Batch/tarif native tidak tersedia.</td><td data-cell-label=\"Langkah berikutnya\"><span class=\"card-cell-label\">Langkah berikutnya</span>Simpan respons; jangan mengganti harga.</td></tr><tr><th data-cell-label=\"Respons\" scope=\"row\"><span class=\"card-cell-label\">Respons</span>503 · <code>api_error</code></th><td data-cell-label=\"Kondisi\"><span class=\"card-cell-label\">Kondisi</span>Rute pemasok yang tepat tidak tersedia.</td><td data-cell-label=\"Langkah berikutnya\"><span class=\"card-cell-label\">Langkah berikutnya</span>Simpan respons untuk perbaikan rute.</td></tr><tr><th data-cell-label=\"Respons\" scope=\"row\"><span class=\"card-cell-label\">Respons</span>503 · <code>result_pending_check</code></th><td data-cell-label=\"Kondisi\"><span class=\"card-cell-label\">Kondisi</span>Hasil asli perlu diperiksa; X-Should-Retry:false.</td><td data-cell-label=\"Langkah berikutnya\"><span class=\"card-cell-label\">Langkah berikutnya</span>Simpan operation_id/id asli dan baca statusnya; jangan pernah mengulangi POST asli.</td></tr><tr><th data-cell-label=\"Respons\" scope=\"row\"><span class=\"card-cell-label\">Respons</span>404 · <code>not_found</code></th><td data-cell-label=\"Kondisi\"><span class=\"card-cell-label\">Kondisi</span>Operasi status Batch tidak ada atau dimiliki oleh identitas lain.</td><td data-cell-label=\"Langkah berikutnya\"><span class=\"card-cell-label\">Langkah berikutnya</span>Gunakan id asli yang persis sama dan user/key/group yang sama.</td></tr></tbody></table></div></details></section><section class=\"card-section\" data-card-section=\"aliases\"><h3 tabindex=\"-1\">Alias</h3><h4>Alias model</h4><p class=\"note-s\"><span data-model-alias-route=\"Ultra\"><b>Ailoot Ultra</b> <a href=\"#m=google%2Fgemini-4-argon%3Abatch&amp;route=Ultra&amp;caller=google%2Fgemini-4-argon%3Abatch&amp;fmt=batches\"><code>google/gemini-4-argon:batch</code></a></span></p><h4>Alias jalur metode</h4><p class=\"note-s\">Gunakan jalur metode yang ditampilkan di atas.</p><h4>ID pemanggil terkait</h4><p class=\"note-s\"><a href=\"#m=google%2Fgemini-4-argon%3Abatch&amp;route=Ultra&amp;caller=google%2Fgemini-4-argon%3Abatch&amp;fmt=batches\"><code>google/gemini-4-argon:batch</code></a></p></section></div>",
      "method_identity": {
        "effective_request_model_id": "google/gemini-4-argon:batch",
        "fmt": "batches",
        "http": "POST",
        "path": "/v1/batches",
        "request_model_id": "google/gemini-4-argon:batch",
        "route_label": "Ultra"
      },
      "method_key": "Ultra|batches|/v1/batches|google%2Fgemini-4-argon%3Abatch",
      "ordinal": 0,
      "rawMethod": {
        "available": null,
        "cache_read": 0.1,
        "cache_write": 0.375,
        "cache_write_1h": null,
        "contract": {
          "data": {
            "all_results": "Preserve full JSON and every result; provider real IDs are only read from actual returned responses.",
            "authentication": {
              "api_key_source": "AILOOT_API_KEY",
              "header": "Authorization: Bearer"
            },
            "errors": [
              {
                "code": null,
                "condition": "Envelope inline yang didokumentasikan tidak valid, ada kunci duplikat, atau terdapat konflik pada identitas item atau kemampuan model yang dikonfigurasi.",
                "http_status": 400,
                "recovery": "Perbaiki kolom yang ditunjukkan sebelum pengiriman baru apa pun.",
                "type": "invalid_request_error"
              },
              {
                "code": null,
                "condition": "Kunci API tidak valid.",
                "http_status": 401,
                "recovery": "Gunakan kunci Ailoot yang berizin.",
                "type": "authentication_error"
              },
              {
                "code": null,
                "condition": "Grup Batch tidak tersedia.",
                "http_status": 403,
                "recovery": "Periksa hak akses key/group.",
                "type": "permission_error"
              },
              {
                "code": null,
                "condition": "Batch menggunakan penagihan dari saldo; pembuatan dengan langganan ditolak.",
                "http_status": 422,
                "recovery": "Gunakan grup berizin yang ditagih dari saldo.",
                "type": "invalid_request_error"
              },
              {
                "code": null,
                "condition": "Penawaran harga untuk input Batch tidak dapat dibuat.",
                "http_status": 422,
                "recovery": "Simpan respons; gunakan input keluarga API yang didokumentasikan.",
                "type": "price_unavailable"
              },
              {
                "code": null,
                "condition": "Cadangan Batch tidak tersedia.",
                "http_status": 402,
                "recovery": "Selesaikan kendala penerimaan sebelum mengirim permintaan baru.",
                "type": "billing_error"
              },
              {
                "code": null,
                "condition": "Harga metode Batch/tarif native tidak tersedia.",
                "http_status": 503,
                "recovery": "Simpan respons; jangan mengganti harga.",
                "type": "price_unavailable"
              },
              {
                "code": null,
                "condition": "Rute pemasok yang tepat tidak tersedia.",
                "http_status": 503,
                "recovery": "Simpan respons untuk perbaikan rute.",
                "type": "api_error"
              },
              {
                "code": "result_pending_check",
                "condition": "Hasil asli perlu diperiksa; X-Should-Retry:false.",
                "http_status": 503,
                "recovery": "Simpan operation_id/id asli dan baca statusnya; jangan pernah mengulangi POST asli.",
                "type": null
              },
              {
                "code": "not_found",
                "condition": "Operasi status Batch tidak ada atau dimiliki oleh identitas lain.",
                "http_status": 404,
                "recovery": "Gunakan id asli yang persis sama dan user/key/group yang sama.",
                "type": null
              }
            ],
            "example_body": {
              "endpoint": "/v1/chat/completions",
              "model": "google/gemini-4-argon:batch",
              "requests": [
                {
                  "body": {
                    "max_tokens": 16,
                    "messages": [
                      {
                        "content": "Hello!",
                        "role": "user"
                      }
                    ]
                  },
                  "custom_id": "req-0001"
                }
              ]
            },
            "input_constraints": [
              "Use the exact shown :batch model ID.",
              "Each custom_id must be nonempty and unique within the batch.",
              "Keep requests last in the serialized body; duplicate JSON keys are rejected.",
              "Each body.model is omitted or equals the exact batch caller or its documented base ID.",
              "Per-item provider, service_tier and input_type are outside this batch profile.",
              "stream is omitted or false.",
              "Supply text messages for this Chat batch profile; image/audio/file/video objects, hosted tools and cache-control fields are outside this profile.",
              "If body.model is present, use only the exact caller or wire ID listed here; no suffix conversion is needed.",
              "For google/ wire IDs, all items use an identical response_format."
            ],
            "outputs": {
              "all_results": "Pertahankan JSON status asli secara lengkap, setiap result/custom_id, serta body response atau error yang lengkap. Simpan results[] yang telah selesai sebagai JSONL tanpa penyaringan.",
              "enclosing_family": "batch",
              "family": "text",
              "fields": [
                {
                  "name": "results[].custom_id",
                  "type": "string"
                },
                {
                  "name": "results[].response.body.choices[].message.content",
                  "type": "string|null"
                },
                {
                  "name": "results[].error",
                  "type": "object|null"
                },
                {
                  "name": "usage",
                  "type": "object|null"
                },
                {
                  "description": null,
                  "name": "id",
                  "type": "string"
                },
                {
                  "description": null,
                  "name": "model",
                  "type": "string"
                },
                {
                  "description": null,
                  "name": "endpoint",
                  "type": "string"
                },
                {
                  "description": null,
                  "name": "status",
                  "type": "string"
                },
                {
                  "description": null,
                  "name": "request_counts",
                  "type": "object"
                },
                {
                  "description": null,
                  "name": "results[].id",
                  "type": "string"
                },
                {
                  "description": null,
                  "name": "results[].response.status_code",
                  "type": "integer"
                },
                {
                  "description": null,
                  "name": "results[].response.request_id",
                  "type": "string"
                }
              ],
              "format": "JSON inline pada results[].response.body"
            },
            "parameters": [
              {
                "availability": "source_interface",
                "default": null,
                "default_known": false,
                "enum": [
                  "/v1/chat/completions"
                ],
                "enum_known": true,
                "name": "endpoint",
                "required": true,
                "type": "string"
              },
              {
                "availability": "source_interface",
                "default": null,
                "default_known": false,
                "enum": [
                  "google/gemini-4-argon:batch"
                ],
                "enum_known": true,
                "name": "model",
                "required": true,
                "type": "string"
              },
              {
                "availability": "source_interface",
                "default": null,
                "default_known": false,
                "enum": null,
                "enum_known": false,
                "min_items": 1,
                "name": "requests",
                "required": true,
                "type": "batch_item[]"
              },
              {
                "availability": "source_interface",
                "default": null,
                "default_known": false,
                "enum": null,
                "enum_known": false,
                "name": "requests[].custom_id",
                "required": true,
                "type": "string",
                "unique_within_batch": true
              },
              {
                "availability": "source_interface",
                "default": null,
                "default_known": false,
                "enum": null,
                "enum_known": false,
                "name": "requests[].body.messages",
                "required": true,
                "type": "message[]"
              },
              {
                "availability": "source_interface",
                "default": null,
                "default_known": false,
                "enum": [
                  "24h"
                ],
                "enum_known": true,
                "name": "completion_window",
                "required": false,
                "type": "string"
              },
              {
                "availability": "source_interface",
                "default": null,
                "default_known": false,
                "enum": null,
                "enum_known": false,
                "name": "provider",
                "required": false,
                "type": "object|null"
              },
              {
                "availability": "source_interface",
                "default": null,
                "default_known": false,
                "enum": [
                  "google/gemini-4-argon:batch",
                  "google/gemini-4-argon"
                ],
                "enum_known": true,
                "name": "requests[].body.model",
                "required": false,
                "type": "string"
              },
              {
                "availability": "source_interface",
                "default": null,
                "default_known": false,
                "enum": [
                  [
                    "google-vertex/global"
                  ]
                ],
                "enum_known": true,
                "name": "provider.only",
                "required": false,
                "type": "string[]"
              },
              {
                "availability": "source_interface",
                "default": null,
                "default_known": false,
                "enum": [
                  false,
                  null
                ],
                "enum_known": true,
                "name": "provider.allow_fallbacks",
                "required": false,
                "type": "boolean|null"
              }
            ],
            "provider_policy": {
              "allow_fallbacks": false,
              "configured_only": [
                "google-vertex/global"
              ],
              "per_item_override": false,
              "when_omitted": "Current Source injects the exact persisted declaration before fresh submission."
            },
            "request_schema": {
              "additionalProperties": false,
              "properties": {
                "completion_window": {
                  "enum": [
                    "24h"
                  ],
                  "type": "string"
                },
                "endpoint": {
                  "enum": [
                    "/v1/chat/completions"
                  ],
                  "type": "string"
                },
                "model": {
                  "enum": [
                    "google/gemini-4-argon:batch"
                  ],
                  "type": "string"
                },
                "provider": {
                  "additionalProperties": false,
                  "properties": {
                    "allow_fallbacks": {
                      "enum": [
                        false,
                        null
                      ],
                      "type": [
                        "boolean",
                        "null"
                      ]
                    },
                    "only": {
                      "enum": [
                        [
                          "google-vertex/global"
                        ]
                      ],
                      "items": {
                        "enum": [
                          "google-vertex/global"
                        ],
                        "type": "string"
                      },
                      "maxItems": 1,
                      "minItems": 1,
                      "type": "array"
                    }
                  },
                  "type": [
                    "object",
                    "null"
                  ]
                },
                "requests": {
                  "items": {
                    "additionalProperties": false,
                    "properties": {
                      "body": {
                        "additionalProperties": true,
                        "properties": {
                          "max_tokens": {
                            "minimum": 1,
                            "type": "integer"
                          },
                          "messages": {
                            "items": {
                              "properties": {
                                "content": {
                                  "type": "string"
                                },
                                "role": {
                                  "type": "string"
                                }
                              },
                              "required": [
                                "role",
                                "content"
                              ],
                              "type": "object"
                            },
                            "minItems": 1,
                            "type": "array"
                          },
                          "model": {
                            "enum": [
                              "google/gemini-4-argon:batch",
                              "google/gemini-4-argon"
                            ],
                            "type": "string"
                          }
                        },
                        "required": [
                          "messages"
                        ],
                        "type": "object"
                      },
                      "custom_id": {
                        "minLength": 1,
                        "type": "string"
                      }
                    },
                    "required": [
                      "custom_id",
                      "body"
                    ],
                    "type": "object"
                  },
                  "minItems": 1,
                  "type": "array"
                }
              },
              "required": [
                "endpoint",
                "model",
                "requests"
              ],
              "type": "object"
            },
            "schema_template": {
              "endpoint": "/v1/chat/completions",
              "model": "google/gemini-4-argon:batch",
              "requests": [
                {
                  "body": {
                    "max_tokens": 16,
                    "messages": [
                      {
                        "content": "Hello!",
                        "role": "user"
                      }
                    ]
                  },
                  "custom_id": "req-0001"
                }
              ]
            },
            "unsupported": [
              "Files/input_file_id batch upload workflow",
              "active cancel route",
              "public batch list/delete/result-download route",
              "model-name-derived capability or weights equivalence"
            ]
          },
          "input": {
            "content_type": "application/json",
            "file_material": "Pemanggil dapat membaca JSONL UTF-8 aktual secara lokal ke dalam requests[]. Tidak menggunakan purpose unggahan, input_file_id, atau referensi file. Materi pelanggan yang tidak ada atau kosong menghentikan persiapan sebelum POST.",
            "material_types": [
              "text"
            ],
            "optional_controls": [
              "provider.only",
              "provider.allow_fallbacks",
              "completion_window"
            ],
            "representation": "requests[] inline; setiap item memiliki custom_id dan body",
            "request_endpoint_profile": "/v1/chat/completions",
            "required": [
              "endpoint",
              "model",
              "requests"
            ],
            "schema_scope": "body teks Chat Completions dalam envelope Batch inline yang didokumentasikan.",
            "serialization_order": [
              "endpoint",
              "model",
              "provider (jika disertakan)",
              "completion_window (jika disertakan)",
              "requests paling akhir"
            ]
          },
          "lifecycle": {
            "cancel": null,
            "create": {
              "accepted_status": 202,
              "http": "POST",
              "path": "/v1/batches"
            },
            "delete": null,
            "file_upload": null,
            "mode": "asynchronous",
            "observed_status_values": [
              "validating",
              "in_progress",
              "finalizing",
              "completed",
              "failed",
              "expired",
              "cancelling",
              "cancelled"
            ],
            "owned_results": {
              "behavior": "Completed results are saved as owned JSONL, read back byte-for-byte and registered in the existing media library before publication after settlement. Status returns inline results; no separate Batch download route is added.",
              "format": "application/x-ndjson",
              "public_url_field_in_status": null
            },
            "status": {
              "http": "GET",
              "id_source": "response.id aktual dari operasi create awal; user/key/group yang sama",
              "path": "/v1/batches/{operation_id}"
            },
            "terminal": [
              "completed",
              "failed",
              "expired",
              "cancelled"
            ],
            "unknown": "Pertahankan ID operasi asli. 503 result_pending_check memiliki X-Should-Retry:false; jangan pernah kirim ulang batch asli yang statusnya tidak diketahui."
          },
          "manufacturer_capability": null,
          "method": {
            "http": "POST",
            "path": "/v1/batches"
          },
          "output": {
            "all_results": "Preserve the full original status JSON, every result/custom_id and complete response or error body. Save completed results[] as JSONL without filtering.",
            "family": "batch",
            "format": "JSON; completed results[] are returned inline and can be saved as JSONL."
          }
        },
        "ctx": null,
        "declared_pricing_profiles": [
          {
            "dimensions": {
              "regime": "base"
            },
            "label": "Tarif dasar token",
            "units": [
              {
                "amount": "0.002000",
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "input_price",
                "label": "Input tokens",
                "native_amount_usd_per_unit": "0.000002",
                "native_quantity": 1,
                "native_unit": "input_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "input_token"
              },
              {
                "amount": "0.01000",
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "output_price",
                "label": "Output tokens",
                "native_amount_usd_per_unit": "0.00001",
                "native_quantity": 1,
                "native_unit": "output_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "out",
                "unit": "output_token"
              },
              {
                "amount": "0.0001000",
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "cache_read_price",
                "label": "Cache read",
                "native_amount_usd_per_unit": "0.0000001",
                "native_quantity": 1,
                "native_unit": "cached_input_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "cached_input_token"
              },
              {
                "amount": "0.000375000",
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "cache_write_price",
                "label": "Cache write",
                "native_amount_usd_per_unit": "0.000000375",
                "native_quantity": 1,
                "native_unit": "generic_cache_creation_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "generic_cache_creation_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "cache_write_1h_price",
                "label": "Cache write, 1 hour",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "one_hour_cache_creation_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "one_hour_cache_creation_token"
              }
            ]
          },
          {
            "dimensions": {
              "max_context_tokens_inclusive": null,
              "min_context_tokens_exclusive": 0
            },
            "label": "Panjang permintaan · tingkat 1",
            "units": [
              {
                "amount": "0.002000",
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "input_price",
                "label": "Input tokens",
                "native_amount_usd_per_unit": "0.000002",
                "native_quantity": 1,
                "native_unit": "input_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "input_token"
              },
              {
                "amount": "0.01000",
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "output_price",
                "label": "Output tokens",
                "native_amount_usd_per_unit": "0.00001",
                "native_quantity": 1,
                "native_unit": "output_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "out",
                "unit": "output_token"
              },
              {
                "amount": "0.0001000",
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "cache_read_price",
                "label": "Cache read",
                "native_amount_usd_per_unit": "0.0000001",
                "native_quantity": 1,
                "native_unit": "cached_input_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "cached_input_token"
              },
              {
                "amount": "0.000375000",
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "cache_write_price",
                "label": "Cache write",
                "native_amount_usd_per_unit": "0.000000375",
                "native_quantity": 1,
                "native_unit": "generic_cache_creation_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "generic_cache_creation_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "cache_write_1h_price",
                "label": "Cache write, 1 hour",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "one_hour_cache_creation_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "one_hour_cache_creation_token"
              }
            ]
          }
        ],
        "examples": [
          {
            "code": "set -eu\n: \"${AILOOT_API_KEY:?Set your Ailoot API key}\"\npython3 - <<'PY_REQUEST'\nimport json\nfrom pathlib import Path\nbody=json.loads('{\"endpoint\":\"/v1/chat/completions\",\"model\":\"google/gemini-4-argon:batch\",\"requests\":[{\"custom_id\":\"req-0001\",\"body\":{\"messages\":[{\"role\":\"user\",\"content\":\"Hello!\"}],\"max_tokens\":16}}]}')\nPath(\"batch-request.json\").write_text(json.dumps(body,ensure_ascii=False),encoding=\"utf-8\")\nPY_REQUEST\ncurl --fail-with-body --silent --show-error https://api.ailoot.ai/v1/batches \\\n  -H \"Authorization: Bearer $AILOOT_API_KEY\" -H 'Content-Type: application/json' \\\n  --data-binary @batch-request.json -D batch-response-headers.txt -o batch-create-response.json\n",
            "label": "curl · retained fixture",
            "language": "bash"
          },
          {
            "code": "import json, os\nfrom pathlib import Path\nfrom urllib.request import Request, urlopen\n\ndef prepare_requests(customer_path):\n    path = Path(customer_path)\n    if not path.is_file(): raise ValueError(\"Customer JSONL file is missing\")\n    items = [json.loads(line) for line in path.read_text(encoding=\"utf-8\").splitlines() if line.strip()]\n    if not items: raise ValueError(\"Customer JSONL contains no requests\")\n    ids = set()\n    for item in items:\n        if set(item) != {\"custom_id\", \"body\"}: raise ValueError(\"Each item needs custom_id and body\")\n        cid = item[\"custom_id\"]\n        if not isinstance(cid, str) or not cid.strip() or cid in ids: raise ValueError(\"custom_id must be nonempty and unique\")\n        ids.add(cid)\n        if not isinstance(item[\"body\"], dict) or not item[\"body\"].get(\"messages\"): raise ValueError(\"Supply actual text messages\")\n        supplied_model = item[\"body\"].get(\"model\")\n        if supplied_model is not None and supplied_model not in ['google/gemini-4-argon:batch', 'google/gemini-4-argon']: raise ValueError(\"body.model must be an exact documented caller or wire ID\")\n    return {\"endpoint\":\"/v1/chat/completions\", \"model\":\"google/gemini-4-argon:batch\", \"requests\":items}\n\nif __name__ == \"__main__\":\n    material = os.environ.get(\"AILOOT_BATCH_REQUESTS_JSONL\", \"\")\n    if not material: raise SystemExit(\"Set AILOOT_BATCH_REQUESTS_JSONL to your actual customer file\")\n    body = prepare_requests(material)\n    key = os.environ.get(\"AILOOT_API_KEY\", \"\")\n    if not key: raise SystemExit(\"Set AILOOT_API_KEY\")\n    request = Request(\"https://api.ailoot.ai/v1/batches\", data=json.dumps(body, ensure_ascii=False).encode(\"utf-8\"), headers={\"Authorization\":\"Bearer \" + key, \"Content-Type\":\"application/json\"}, method=\"POST\")\n    with urlopen(request) as response:\n        raw = response.read()\n        Path(\"batch-create-response.json\").write_bytes(raw)\n        print(raw.decode(\"utf-8\"))\n",
            "label": "Python HTTP · actual customer JSONL",
            "language": "python"
          },
          {
            "code": "set -eu\n: \"${AILOOT_API_KEY:?Set your Ailoot API key}\"\nBATCH_OPERATION_ID=\"$(python3 - <<'PY_ID'\nimport json\nfrom pathlib import Path\nfrom urllib.parse import quote\nresponse = json.loads(Path(\"batch-create-response.json\").read_text(encoding=\"utf-8\"))\noperation = response.get(\"id\")\nif not isinstance(operation, str) or not operation: raise SystemExit(\"No actual original operation ID; preserve the response and do not resubmit\")\nprint(quote(operation, safe=\"\"))\nPY_ID\n)\"\ncurl --fail-with-body --silent --show-error \"https://api.ailoot.ai/v1/batches/$BATCH_OPERATION_ID\" \\\n  -H \"Authorization: Bearer $AILOOT_API_KEY\" -o batch-status-response.json\n",
            "label": "curl · original operation status",
            "language": "bash"
          },
          {
            "code": "import json\nfrom pathlib import Path\nraw = Path(\"batch-status-response.json\").read_bytes()\nresponse = json.loads(raw)\nif response.get(\"status\") != \"completed\":\n    raise SystemExit(\"Keep the original operation; read its status without resubmitting\")\nresults = response.get(\"results\")\nif not isinstance(results, list) or not results:\n    raise SystemExit(\"Preserve the original response; completed results are missing\")\nPath(\"batch-results.jsonl\").write_text(\"\".join(json.dumps(item, ensure_ascii=False) + \"\\n\" for item in results), encoding=\"utf-8\")\n# Preserve batch-status-response.json with aggregate usage and every result/error.\n",
            "label": "Python · save every completed result",
            "language": "python"
          }
        ],
        "family": "batch",
        "fast_multiplier": null,
        "flex_multiplier": null,
        "fmt": "batches",
        "hints": [
          "Read your actual request items before submission; inline requests are required.",
          "Keep the returned operation ID and every result. Never replay an unknown submission."
        ],
        "http": "POST",
        "in": 2,
        "input": [
          "text"
        ],
        "label": "Batch",
        "max_out": null,
        "max_reasoning_effort_multiplier": null,
        "out": 10,
        "output": [
          "text"
        ],
        "path": "/v1/batches",
        "price_conditions": [
          {
            "label": "Fast mode",
            "value": "Not specified",
            "when": "When fast mode is selected"
          },
          {
            "label": "Flex mode",
            "value": "Not specified",
            "when": "When flex mode is selected"
          },
          {
            "label": "Maximum reasoning effort",
            "value": "Not specified",
            "when": "When maximum reasoning effort uses the default adjustment"
          },
          {
            "label": "Explicit cache pricing",
            "value": "Not enabled",
            "when": "When explicit cache is requested"
          }
        ],
        "pricing": {
          "billing_mode": "token",
          "image_input_price": null,
          "image_output_price": null,
          "per_request_price": null
        },
        "pricing_profiles": [
          {
            "dimensions": {
              "regime": "base"
            },
            "label": "Base token rates",
            "units": [
              {
                "amount": "0.002000",
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "input_price",
                "label": "Input tokens",
                "native_amount_usd_per_unit": "0.000002",
                "native_quantity": 1,
                "native_unit": "input_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "input_token"
              },
              {
                "amount": "0.01000",
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "output_price",
                "label": "Output tokens",
                "native_amount_usd_per_unit": "0.00001",
                "native_quantity": 1,
                "native_unit": "output_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "out",
                "unit": "output_token"
              },
              {
                "amount": "0.0001000",
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "cache_read_price",
                "label": "Cache read",
                "native_amount_usd_per_unit": "0.0000001",
                "native_quantity": 1,
                "native_unit": "cached_input_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "cached_input_token"
              },
              {
                "amount": "0.000375000",
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "cache_write_price",
                "label": "Cache write",
                "native_amount_usd_per_unit": "0.000000375",
                "native_quantity": 1,
                "native_unit": "generic_cache_creation_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "generic_cache_creation_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "cache_write_1h_price",
                "label": "Cache write, 1 hour",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "one_hour_cache_creation_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "one_hour_cache_creation_token"
              }
            ]
          },
          {
            "dimensions": {
              "max_context_tokens_inclusive": null,
              "min_context_tokens_exclusive": 0
            },
            "label": "Request-length tier 1",
            "units": [
              {
                "amount": "0.002000",
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "input_price",
                "label": "Input tokens",
                "native_amount_usd_per_unit": "0.000002",
                "native_quantity": 1,
                "native_unit": "input_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "input_token"
              },
              {
                "amount": "0.01000",
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "output_price",
                "label": "Output tokens",
                "native_amount_usd_per_unit": "0.00001",
                "native_quantity": 1,
                "native_unit": "output_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "out",
                "unit": "output_token"
              },
              {
                "amount": "0.0001000",
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "cache_read_price",
                "label": "Cache read",
                "native_amount_usd_per_unit": "0.0000001",
                "native_quantity": 1,
                "native_unit": "cached_input_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "cached_input_token"
              },
              {
                "amount": "0.000375000",
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "cache_write_price",
                "label": "Cache write",
                "native_amount_usd_per_unit": "0.000000375",
                "native_quantity": 1,
                "native_unit": "generic_cache_creation_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "generic_cache_creation_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "cache_write_1h_price",
                "label": "Cache write, 1 hour",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "one_hour_cache_creation_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "one_hour_cache_creation_token"
              }
            ]
          }
        ],
        "request_model_id": "google/gemini-4-argon:batch",
        "route_label": "Ultra",
        "status_reads": [
          "GET /v1/batches/{operation_id}"
        ],
        "tiers": [
          {
            "cache_read": 0.1,
            "cache_read_multiplier": null,
            "cache_write": 0.375,
            "cache_write_1h": null,
            "cache_write_multiplier": null,
            "created_at": "0001-01-01T00:00:00Z",
            "in": 2,
            "input_multiplier": null,
            "max": null,
            "max_tokens": null,
            "min": 0,
            "min_tokens": 0,
            "out": 10,
            "output_multiplier": null,
            "per_request_price": null,
            "sort_order": 0,
            "tier_label": "",
            "updated_at": "0001-01-01T00:00:00Z"
          }
        ],
        "units": [
          {
            "amount": "0.002000",
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": true,
            "estimate_only": false,
            "key": "input_price",
            "label": "Input tokens",
            "native_amount_usd_per_unit": "0.000002",
            "native_quantity": 1,
            "native_unit": "input_token",
            "public_unit_label": "/ 1K tokens",
            "quantity": 1000,
            "quantity_is_estimate": false,
            "rate_role": "typed_native_retail_rate",
            "side": "in",
            "unit": "input_token"
          },
          {
            "amount": "0.01000",
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": true,
            "estimate_only": false,
            "key": "output_price",
            "label": "Output tokens",
            "native_amount_usd_per_unit": "0.00001",
            "native_quantity": 1,
            "native_unit": "output_token",
            "public_unit_label": "/ 1K tokens",
            "quantity": 1000,
            "quantity_is_estimate": false,
            "rate_role": "typed_native_retail_rate",
            "side": "out",
            "unit": "output_token"
          },
          {
            "amount": "0.0001000",
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": true,
            "estimate_only": false,
            "key": "cache_read_price",
            "label": "Cache read",
            "native_amount_usd_per_unit": "0.0000001",
            "native_quantity": 1,
            "native_unit": "cached_input_token",
            "public_unit_label": "/ 1K tokens",
            "quantity": 1000,
            "quantity_is_estimate": false,
            "rate_role": "typed_native_retail_rate",
            "side": "in",
            "unit": "cached_input_token"
          },
          {
            "amount": "0.000375000",
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": true,
            "estimate_only": false,
            "key": "cache_write_price",
            "label": "Cache write",
            "native_amount_usd_per_unit": "0.000000375",
            "native_quantity": 1,
            "native_unit": "generic_cache_creation_token",
            "public_unit_label": "/ 1K tokens",
            "quantity": 1000,
            "quantity_is_estimate": false,
            "rate_role": "typed_native_retail_rate",
            "side": "in",
            "unit": "generic_cache_creation_token"
          },
          {
            "amount": null,
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": true,
            "estimate_only": false,
            "key": "cache_write_1h_price",
            "label": "Cache write, 1 hour",
            "native_amount_usd_per_unit": null,
            "native_quantity": 1,
            "native_unit": "one_hour_cache_creation_token",
            "public_unit_label": "/ 1K tokens",
            "quantity": 1000,
            "quantity_is_estimate": false,
            "rate_role": "typed_native_retail_rate",
            "side": "in",
            "unit": "one_hour_cache_creation_token"
          }
        ]
      }
    }
  ],
  "model_id": "google/gemini-4-argon:batch",
  "nativeProvenance": {
    "input_facts_canonical_sha256": "61f26d2d55ed752a84355ea30ae554b85cfe3b6ae498321537dd175e26f247f4",
    "input_html_sha256": "11b866764efef764203046296c4daa5125eb6ef1a38f7ebfee82190eaa203cf0",
    "private_audit_sha256": "d0ef9dde437fb0637978b93adf2ac0b267995cbdff0cf19fc5b3343f1b5b8a2d",
    "role": "historical-normalized-input-audit-hashes",
    "schema": "ailoot-native-model-provenance-v2"
  },
  "page": {
    "canonical": "https://ailoot.ai/models/id/google-gemini-4-argon-u003a-batch/",
    "description": "Gemini 4 Argon (batch) adalah varian batch yang dicantumkan secara terpisah dari model penalaran konteks panjang Google. Model ini menerima teks, gambar, audio, video, dan dokumen serta menghasilkan teks, dengan fitur pemanggilan alat dan keluaran terstruktur. Bedakan pengenal dan alokasi keluarannya dari Argon standar saat mengatur pekerjaan batch.",
    "locale": "id",
    "md_url": "https://ailoot.ai/models/id/google-gemini-4-argon-u003a-batch/index.md",
    "title": "Google: Gemini 4 Argon (batch) — Ailoot",
    "url": "https://ailoot.ai/models/id/google-gemini-4-argon-u003a-batch/"
  },
  "rawModel": {
    "about": "Gemini 4 Argon (batch) adalah varian berlabel batch yang diterbitkan dari model penalaran multimodal Google. Varian ini mempertahankan fokus keluarga model Argon pada rekayasa perangkat lunak, analisis matematika dan ilmiah, serta penalaran beberapa langkah atas kumpulan bukti besar. Catatan menerima teks, gambar, audio, video, dan berkas seperti PDF lalu mengembalikan teks.\n\n### Susun kumpulan tugas independen\n\nBeban kerja batch yang berguna berisi banyak item yang ditentukan secara jelas dengan persyaratan hasil yang sebanding. Kumpulan dokumen dapat menggunakan satu rubrik ekstraksi atau perbandingan untuk semua item. Beban kerja peninjauan kode dapat menentukan pertanyaan peninjauan yang sama untuk serangkaian perubahan. Kumpulan penelitian dapat meminta bidang bukti yang sama dari setiap paket sumber.\n\nBerikan setiap item pekerjaan identitas yang disimpan aplikasi di sekitarnya bersama masukan dan hasil. Pertahankan instruksi tetap stabil ketika pekerjaan dapat dibandingkan, sambil menempatkan bukti dan pertanyaan khusus item dalam tugas individual. Ini memudahkan perbandingan keluaran selesai tanpa membingungkan satu dokumen atau perubahan repositori dengan yang lain.\n\n### Konteks panjang dengan kontrak keluaran yang presisi\n\nJendela konteks yang diterbitkan adalah 1.048.576 token. Pertahankan materi sumber yang terkait bersama dan identifikasi batas dokumen, nama berkas, atau bagian yang penting untuk tugas. Minta keluaran yang melayani tujuan kumpulan: perubahan yang ditinjau, tabel bukti, kumpulan temuan terstruktur, atau laporan ringkas.\n\nVarian batch menerbitkan penalaran wajib dengan tingkat upaya low, medium, dan high. Sesuaikan upaya dengan pertanyaan yang harus diselesaikan dan pertahankan format jawaban eksplisit. Ketika respons digunakan proses lain, kemampuan keluaran terstruktur yang diterbitkan dapat mendukung bidang yang tetap sebanding di seluruh kumpulan. Pemanggilan alat juga dicantumkan sebagai fitur model; aplikasi mendefinisikan dan menjalankan alat yang disediakan untuk tugas.\n\n### Pertahankan identitas varian bersama pekerjaan\n\nEntri standar dan batch memiliki pengenal yang diterbitkan secara terpisah dalam keluarga Argon. Pertahankan akhiran batch yang persis saat memilih varian ini dan simpan pilihan bersama artefak yang selesai. Gunakan kapasitas dan persyaratan keluaran varian yang dipilih sendiri saat mengatur kumpulan.\n\nUntuk jawaban besar, rencanakan konten yang diharapkan dan alokasi keluaran profil batch pilihan sebelum memilih ukuran item pekerjaan. Halaman sumber batch membahas keluaran panjang secara terpisah dari entri standar. Pertahankan varian batch dan alokasi keluaran yang dipilih bersama kumpulan agar setiap item mengikuti rencana keluaran yang sama.\n\n### Bandingkan keluaran secara konsisten\n\nGunakan sampel yang mewakili kumpulan untuk menilai apakah instruksi yang dipilih menghasilkan bukti dan tingkat detail yang diperlukan. Pertahankan referensi dokumen, temuan yang diekstrak, dan pertanyaan terbuka bersama dalam setiap hasil. Jika item membutuhkan revisi, simpan bukti dan pilihan aslinya agar hasil yang dikoreksi tetap sebanding dengan bagian lain dalam kumpulan.\n\n### Kemampuan\n\n- Pengenal Argon terpisah yang dipublikasikan dengan label `batch`.\n- Masukan teks, gambar, audio, video, dan dokumen dengan keluaran teks.\n- Jendela konteks 1.048.576 token yang dipublikasikan.\n- Penalaran wajib dan dukungan pemanggilan alat yang dipublikasikan.\n- Keluaran terstruktur yang dipandu skema untuk hasil yang dapat dibandingkan.\n\n### Kasus penggunaan\n\n- **Tinjauan koleksi dokumen** — Rubrik tinjauan yang konsisten dan satu paket sumber teridentifikasi per item. Hasil: Temuan yang dapat dibandingkan dengan referensi dokumen tetap disimpan.\n- **Koleksi tinjauan perubahan** — Serangkaian perubahan kode dengan perilaku yang sama dan kriteria pengujian bersama. Hasil: Hasil tinjauan teridentifikasi untuk setiap perubahan.\n- **Pemrosesan riset terstruktur** — Kumpulan bukti independen dengan kolom hasil yang diminta yang sama. Hasil: Koleksi temuan terstruktur yang siap dibandingkan.\n- **Sintesis bentuk panjang** — Paket masukan besar yang saling terkait dan kerangka laporan yang ditentukan. Hasil: Artefak teks yang cukup besar dalam batas penyelesaian profil `batch` yang dipilih.\n\n### Batasan\n\n- **Konteks** — Jendela konteks pemrosesan batch yang dipublikasikan: 1.048.576 token.\n- **Varian** — Pisahkan google/gemini-4-argon:batch dari pengenal standar.\n- **Perencanaan keluaran** — Pilih ukuran item kerja berdasarkan batas penyelesaian profil `batch` yang dipilih; nyatakan format hasil yang dituju secara jelas.\n- **Penalaran** — Penalaran wajib; tingkat upaya rendah (`low`), sedang (`medium`), dan tinggi (`high`) dipublikasikan.\n",
    "alias_of": null,
    "aliases": [],
    "author": "Google",
    "capabilities": {
      "context_length": 1048576,
      "manufacturer_input": [
        "audio",
        "file",
        "image",
        "text",
        "video"
      ],
      "manufacturer_output": [
        "text"
      ]
    },
    "card_routes": [
      {
        "label": "Ultra",
        "rates": [
          {
            "amount": "0.002000",
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": true,
            "estimate_only": false,
            "key": "input_price",
            "label": "Input tokens",
            "native_amount_usd_per_unit": "0.000002",
            "native_quantity": 1,
            "native_unit": "input_token",
            "public_unit_label": "/ 1K tokens",
            "quantity": 1000,
            "quantity_is_estimate": false,
            "rate_role": "typed_native_retail_rate",
            "side": "in",
            "unit": "input_token"
          },
          {
            "amount": "0.01000",
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": true,
            "estimate_only": false,
            "key": "output_price",
            "label": "Output tokens",
            "native_amount_usd_per_unit": "0.00001",
            "native_quantity": 1,
            "native_unit": "output_token",
            "public_unit_label": "/ 1K tokens",
            "quantity": 1000,
            "quantity_is_estimate": false,
            "rate_role": "typed_native_retail_rate",
            "side": "out",
            "unit": "output_token"
          }
        ],
        "summary": "Informasi lengkap harga konfigurasi tersedia di bagian detail."
      }
    ],
    "ctx": null,
    "formats": [
      "batches"
    ],
    "id": "google/gemini-4-argon:batch",
    "input": [
      "text"
    ],
    "kind": "text",
    "max_out": null,
    "methods": [
      {
        "available": null,
        "cache_read": 0.1,
        "cache_write": 0.375,
        "cache_write_1h": null,
        "contract": {
          "data": {
            "all_results": "Preserve full JSON and every result; provider real IDs are only read from actual returned responses.",
            "authentication": {
              "api_key_source": "AILOOT_API_KEY",
              "header": "Authorization: Bearer"
            },
            "errors": [
              {
                "code": null,
                "condition": "Envelope inline yang didokumentasikan tidak valid, ada kunci duplikat, atau terdapat konflik pada identitas item atau kemampuan model yang dikonfigurasi.",
                "http_status": 400,
                "recovery": "Perbaiki kolom yang ditunjukkan sebelum pengiriman baru apa pun.",
                "type": "invalid_request_error"
              },
              {
                "code": null,
                "condition": "Kunci API tidak valid.",
                "http_status": 401,
                "recovery": "Gunakan kunci Ailoot yang berizin.",
                "type": "authentication_error"
              },
              {
                "code": null,
                "condition": "Grup Batch tidak tersedia.",
                "http_status": 403,
                "recovery": "Periksa hak akses key/group.",
                "type": "permission_error"
              },
              {
                "code": null,
                "condition": "Batch menggunakan penagihan dari saldo; pembuatan dengan langganan ditolak.",
                "http_status": 422,
                "recovery": "Gunakan grup berizin yang ditagih dari saldo.",
                "type": "invalid_request_error"
              },
              {
                "code": null,
                "condition": "Penawaran harga untuk input Batch tidak dapat dibuat.",
                "http_status": 422,
                "recovery": "Simpan respons; gunakan input keluarga API yang didokumentasikan.",
                "type": "price_unavailable"
              },
              {
                "code": null,
                "condition": "Cadangan Batch tidak tersedia.",
                "http_status": 402,
                "recovery": "Selesaikan kendala penerimaan sebelum mengirim permintaan baru.",
                "type": "billing_error"
              },
              {
                "code": null,
                "condition": "Harga metode Batch/tarif native tidak tersedia.",
                "http_status": 503,
                "recovery": "Simpan respons; jangan mengganti harga.",
                "type": "price_unavailable"
              },
              {
                "code": null,
                "condition": "Rute pemasok yang tepat tidak tersedia.",
                "http_status": 503,
                "recovery": "Simpan respons untuk perbaikan rute.",
                "type": "api_error"
              },
              {
                "code": "result_pending_check",
                "condition": "Hasil asli perlu diperiksa; X-Should-Retry:false.",
                "http_status": 503,
                "recovery": "Simpan operation_id/id asli dan baca statusnya; jangan pernah mengulangi POST asli.",
                "type": null
              },
              {
                "code": "not_found",
                "condition": "Operasi status Batch tidak ada atau dimiliki oleh identitas lain.",
                "http_status": 404,
                "recovery": "Gunakan id asli yang persis sama dan user/key/group yang sama.",
                "type": null
              }
            ],
            "example_body": {
              "endpoint": "/v1/chat/completions",
              "model": "google/gemini-4-argon:batch",
              "requests": [
                {
                  "body": {
                    "max_tokens": 16,
                    "messages": [
                      {
                        "content": "Hello!",
                        "role": "user"
                      }
                    ]
                  },
                  "custom_id": "req-0001"
                }
              ]
            },
            "input_constraints": [
              "Use the exact shown :batch model ID.",
              "Each custom_id must be nonempty and unique within the batch.",
              "Keep requests last in the serialized body; duplicate JSON keys are rejected.",
              "Each body.model is omitted or equals the exact batch caller or its documented base ID.",
              "Per-item provider, service_tier and input_type are outside this batch profile.",
              "stream is omitted or false.",
              "Supply text messages for this Chat batch profile; image/audio/file/video objects, hosted tools and cache-control fields are outside this profile.",
              "If body.model is present, use only the exact caller or wire ID listed here; no suffix conversion is needed.",
              "For google/ wire IDs, all items use an identical response_format."
            ],
            "outputs": {
              "all_results": "Pertahankan JSON status asli secara lengkap, setiap result/custom_id, serta body response atau error yang lengkap. Simpan results[] yang telah selesai sebagai JSONL tanpa penyaringan.",
              "enclosing_family": "batch",
              "family": "text",
              "fields": [
                {
                  "name": "results[].custom_id",
                  "type": "string"
                },
                {
                  "name": "results[].response.body.choices[].message.content",
                  "type": "string|null"
                },
                {
                  "name": "results[].error",
                  "type": "object|null"
                },
                {
                  "name": "usage",
                  "type": "object|null"
                },
                {
                  "description": null,
                  "name": "id",
                  "type": "string"
                },
                {
                  "description": null,
                  "name": "model",
                  "type": "string"
                },
                {
                  "description": null,
                  "name": "endpoint",
                  "type": "string"
                },
                {
                  "description": null,
                  "name": "status",
                  "type": "string"
                },
                {
                  "description": null,
                  "name": "request_counts",
                  "type": "object"
                },
                {
                  "description": null,
                  "name": "results[].id",
                  "type": "string"
                },
                {
                  "description": null,
                  "name": "results[].response.status_code",
                  "type": "integer"
                },
                {
                  "description": null,
                  "name": "results[].response.request_id",
                  "type": "string"
                }
              ],
              "format": "JSON inline pada results[].response.body"
            },
            "parameters": [
              {
                "availability": "source_interface",
                "default": null,
                "default_known": false,
                "enum": [
                  "/v1/chat/completions"
                ],
                "enum_known": true,
                "name": "endpoint",
                "required": true,
                "type": "string"
              },
              {
                "availability": "source_interface",
                "default": null,
                "default_known": false,
                "enum": [
                  "google/gemini-4-argon:batch"
                ],
                "enum_known": true,
                "name": "model",
                "required": true,
                "type": "string"
              },
              {
                "availability": "source_interface",
                "default": null,
                "default_known": false,
                "enum": null,
                "enum_known": false,
                "min_items": 1,
                "name": "requests",
                "required": true,
                "type": "batch_item[]"
              },
              {
                "availability": "source_interface",
                "default": null,
                "default_known": false,
                "enum": null,
                "enum_known": false,
                "name": "requests[].custom_id",
                "required": true,
                "type": "string",
                "unique_within_batch": true
              },
              {
                "availability": "source_interface",
                "default": null,
                "default_known": false,
                "enum": null,
                "enum_known": false,
                "name": "requests[].body.messages",
                "required": true,
                "type": "message[]"
              },
              {
                "availability": "source_interface",
                "default": null,
                "default_known": false,
                "enum": [
                  "24h"
                ],
                "enum_known": true,
                "name": "completion_window",
                "required": false,
                "type": "string"
              },
              {
                "availability": "source_interface",
                "default": null,
                "default_known": false,
                "enum": null,
                "enum_known": false,
                "name": "provider",
                "required": false,
                "type": "object|null"
              },
              {
                "availability": "source_interface",
                "default": null,
                "default_known": false,
                "enum": [
                  "google/gemini-4-argon:batch",
                  "google/gemini-4-argon"
                ],
                "enum_known": true,
                "name": "requests[].body.model",
                "required": false,
                "type": "string"
              },
              {
                "availability": "source_interface",
                "default": null,
                "default_known": false,
                "enum": [
                  [
                    "google-vertex/global"
                  ]
                ],
                "enum_known": true,
                "name": "provider.only",
                "required": false,
                "type": "string[]"
              },
              {
                "availability": "source_interface",
                "default": null,
                "default_known": false,
                "enum": [
                  false,
                  null
                ],
                "enum_known": true,
                "name": "provider.allow_fallbacks",
                "required": false,
                "type": "boolean|null"
              }
            ],
            "provider_policy": {
              "allow_fallbacks": false,
              "configured_only": [
                "google-vertex/global"
              ],
              "per_item_override": false,
              "when_omitted": "Current Source injects the exact persisted declaration before fresh submission."
            },
            "request_schema": {
              "additionalProperties": false,
              "properties": {
                "completion_window": {
                  "enum": [
                    "24h"
                  ],
                  "type": "string"
                },
                "endpoint": {
                  "enum": [
                    "/v1/chat/completions"
                  ],
                  "type": "string"
                },
                "model": {
                  "enum": [
                    "google/gemini-4-argon:batch"
                  ],
                  "type": "string"
                },
                "provider": {
                  "additionalProperties": false,
                  "properties": {
                    "allow_fallbacks": {
                      "enum": [
                        false,
                        null
                      ],
                      "type": [
                        "boolean",
                        "null"
                      ]
                    },
                    "only": {
                      "enum": [
                        [
                          "google-vertex/global"
                        ]
                      ],
                      "items": {
                        "enum": [
                          "google-vertex/global"
                        ],
                        "type": "string"
                      },
                      "maxItems": 1,
                      "minItems": 1,
                      "type": "array"
                    }
                  },
                  "type": [
                    "object",
                    "null"
                  ]
                },
                "requests": {
                  "items": {
                    "additionalProperties": false,
                    "properties": {
                      "body": {
                        "additionalProperties": true,
                        "properties": {
                          "max_tokens": {
                            "minimum": 1,
                            "type": "integer"
                          },
                          "messages": {
                            "items": {
                              "properties": {
                                "content": {
                                  "type": "string"
                                },
                                "role": {
                                  "type": "string"
                                }
                              },
                              "required": [
                                "role",
                                "content"
                              ],
                              "type": "object"
                            },
                            "minItems": 1,
                            "type": "array"
                          },
                          "model": {
                            "enum": [
                              "google/gemini-4-argon:batch",
                              "google/gemini-4-argon"
                            ],
                            "type": "string"
                          }
                        },
                        "required": [
                          "messages"
                        ],
                        "type": "object"
                      },
                      "custom_id": {
                        "minLength": 1,
                        "type": "string"
                      }
                    },
                    "required": [
                      "custom_id",
                      "body"
                    ],
                    "type": "object"
                  },
                  "minItems": 1,
                  "type": "array"
                }
              },
              "required": [
                "endpoint",
                "model",
                "requests"
              ],
              "type": "object"
            },
            "schema_template": {
              "endpoint": "/v1/chat/completions",
              "model": "google/gemini-4-argon:batch",
              "requests": [
                {
                  "body": {
                    "max_tokens": 16,
                    "messages": [
                      {
                        "content": "Hello!",
                        "role": "user"
                      }
                    ]
                  },
                  "custom_id": "req-0001"
                }
              ]
            },
            "unsupported": [
              "Files/input_file_id batch upload workflow",
              "active cancel route",
              "public batch list/delete/result-download route",
              "model-name-derived capability or weights equivalence"
            ]
          },
          "input": {
            "content_type": "application/json",
            "file_material": "Pemanggil dapat membaca JSONL UTF-8 aktual secara lokal ke dalam requests[]. Tidak menggunakan purpose unggahan, input_file_id, atau referensi file. Materi pelanggan yang tidak ada atau kosong menghentikan persiapan sebelum POST.",
            "material_types": [
              "text"
            ],
            "optional_controls": [
              "provider.only",
              "provider.allow_fallbacks",
              "completion_window"
            ],
            "representation": "requests[] inline; setiap item memiliki custom_id dan body",
            "request_endpoint_profile": "/v1/chat/completions",
            "required": [
              "endpoint",
              "model",
              "requests"
            ],
            "schema_scope": "body teks Chat Completions dalam envelope Batch inline yang didokumentasikan.",
            "serialization_order": [
              "endpoint",
              "model",
              "provider (jika disertakan)",
              "completion_window (jika disertakan)",
              "requests paling akhir"
            ]
          },
          "lifecycle": {
            "cancel": null,
            "create": {
              "accepted_status": 202,
              "http": "POST",
              "path": "/v1/batches"
            },
            "delete": null,
            "file_upload": null,
            "mode": "asynchronous",
            "observed_status_values": [
              "validating",
              "in_progress",
              "finalizing",
              "completed",
              "failed",
              "expired",
              "cancelling",
              "cancelled"
            ],
            "owned_results": {
              "behavior": "Completed results are saved as owned JSONL, read back byte-for-byte and registered in the existing media library before publication after settlement. Status returns inline results; no separate Batch download route is added.",
              "format": "application/x-ndjson",
              "public_url_field_in_status": null
            },
            "status": {
              "http": "GET",
              "id_source": "response.id aktual dari operasi create awal; user/key/group yang sama",
              "path": "/v1/batches/{operation_id}"
            },
            "terminal": [
              "completed",
              "failed",
              "expired",
              "cancelled"
            ],
            "unknown": "Pertahankan ID operasi asli. 503 result_pending_check memiliki X-Should-Retry:false; jangan pernah kirim ulang batch asli yang statusnya tidak diketahui."
          },
          "manufacturer_capability": null,
          "method": {
            "http": "POST",
            "path": "/v1/batches"
          },
          "output": {
            "all_results": "Preserve the full original status JSON, every result/custom_id and complete response or error body. Save completed results[] as JSONL without filtering.",
            "family": "batch",
            "format": "JSON; completed results[] are returned inline and can be saved as JSONL."
          }
        },
        "ctx": null,
        "declared_pricing_profiles": [
          {
            "dimensions": {
              "regime": "base"
            },
            "label": "Tarif dasar token",
            "units": [
              {
                "amount": "0.002000",
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "input_price",
                "label": "Input tokens",
                "native_amount_usd_per_unit": "0.000002",
                "native_quantity": 1,
                "native_unit": "input_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "input_token"
              },
              {
                "amount": "0.01000",
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "output_price",
                "label": "Output tokens",
                "native_amount_usd_per_unit": "0.00001",
                "native_quantity": 1,
                "native_unit": "output_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "out",
                "unit": "output_token"
              },
              {
                "amount": "0.0001000",
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "cache_read_price",
                "label": "Cache read",
                "native_amount_usd_per_unit": "0.0000001",
                "native_quantity": 1,
                "native_unit": "cached_input_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "cached_input_token"
              },
              {
                "amount": "0.000375000",
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "cache_write_price",
                "label": "Cache write",
                "native_amount_usd_per_unit": "0.000000375",
                "native_quantity": 1,
                "native_unit": "generic_cache_creation_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "generic_cache_creation_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "cache_write_1h_price",
                "label": "Cache write, 1 hour",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "one_hour_cache_creation_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "one_hour_cache_creation_token"
              }
            ]
          },
          {
            "dimensions": {
              "max_context_tokens_inclusive": null,
              "min_context_tokens_exclusive": 0
            },
            "label": "Panjang permintaan · tingkat 1",
            "units": [
              {
                "amount": "0.002000",
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "input_price",
                "label": "Input tokens",
                "native_amount_usd_per_unit": "0.000002",
                "native_quantity": 1,
                "native_unit": "input_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "input_token"
              },
              {
                "amount": "0.01000",
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "output_price",
                "label": "Output tokens",
                "native_amount_usd_per_unit": "0.00001",
                "native_quantity": 1,
                "native_unit": "output_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "out",
                "unit": "output_token"
              },
              {
                "amount": "0.0001000",
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "cache_read_price",
                "label": "Cache read",
                "native_amount_usd_per_unit": "0.0000001",
                "native_quantity": 1,
                "native_unit": "cached_input_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "cached_input_token"
              },
              {
                "amount": "0.000375000",
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "cache_write_price",
                "label": "Cache write",
                "native_amount_usd_per_unit": "0.000000375",
                "native_quantity": 1,
                "native_unit": "generic_cache_creation_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "generic_cache_creation_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "cache_write_1h_price",
                "label": "Cache write, 1 hour",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "one_hour_cache_creation_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "one_hour_cache_creation_token"
              }
            ]
          }
        ],
        "examples": [
          {
            "code": "set -eu\n: \"${AILOOT_API_KEY:?Set your Ailoot API key}\"\npython3 - <<'PY_REQUEST'\nimport json\nfrom pathlib import Path\nbody=json.loads('{\"endpoint\":\"/v1/chat/completions\",\"model\":\"google/gemini-4-argon:batch\",\"requests\":[{\"custom_id\":\"req-0001\",\"body\":{\"messages\":[{\"role\":\"user\",\"content\":\"Hello!\"}],\"max_tokens\":16}}]}')\nPath(\"batch-request.json\").write_text(json.dumps(body,ensure_ascii=False),encoding=\"utf-8\")\nPY_REQUEST\ncurl --fail-with-body --silent --show-error https://api.ailoot.ai/v1/batches \\\n  -H \"Authorization: Bearer $AILOOT_API_KEY\" -H 'Content-Type: application/json' \\\n  --data-binary @batch-request.json -D batch-response-headers.txt -o batch-create-response.json\n",
            "label": "curl · retained fixture",
            "language": "bash"
          },
          {
            "code": "import json, os\nfrom pathlib import Path\nfrom urllib.request import Request, urlopen\n\ndef prepare_requests(customer_path):\n    path = Path(customer_path)\n    if not path.is_file(): raise ValueError(\"Customer JSONL file is missing\")\n    items = [json.loads(line) for line in path.read_text(encoding=\"utf-8\").splitlines() if line.strip()]\n    if not items: raise ValueError(\"Customer JSONL contains no requests\")\n    ids = set()\n    for item in items:\n        if set(item) != {\"custom_id\", \"body\"}: raise ValueError(\"Each item needs custom_id and body\")\n        cid = item[\"custom_id\"]\n        if not isinstance(cid, str) or not cid.strip() or cid in ids: raise ValueError(\"custom_id must be nonempty and unique\")\n        ids.add(cid)\n        if not isinstance(item[\"body\"], dict) or not item[\"body\"].get(\"messages\"): raise ValueError(\"Supply actual text messages\")\n        supplied_model = item[\"body\"].get(\"model\")\n        if supplied_model is not None and supplied_model not in ['google/gemini-4-argon:batch', 'google/gemini-4-argon']: raise ValueError(\"body.model must be an exact documented caller or wire ID\")\n    return {\"endpoint\":\"/v1/chat/completions\", \"model\":\"google/gemini-4-argon:batch\", \"requests\":items}\n\nif __name__ == \"__main__\":\n    material = os.environ.get(\"AILOOT_BATCH_REQUESTS_JSONL\", \"\")\n    if not material: raise SystemExit(\"Set AILOOT_BATCH_REQUESTS_JSONL to your actual customer file\")\n    body = prepare_requests(material)\n    key = os.environ.get(\"AILOOT_API_KEY\", \"\")\n    if not key: raise SystemExit(\"Set AILOOT_API_KEY\")\n    request = Request(\"https://api.ailoot.ai/v1/batches\", data=json.dumps(body, ensure_ascii=False).encode(\"utf-8\"), headers={\"Authorization\":\"Bearer \" + key, \"Content-Type\":\"application/json\"}, method=\"POST\")\n    with urlopen(request) as response:\n        raw = response.read()\n        Path(\"batch-create-response.json\").write_bytes(raw)\n        print(raw.decode(\"utf-8\"))\n",
            "label": "Python HTTP · actual customer JSONL",
            "language": "python"
          },
          {
            "code": "set -eu\n: \"${AILOOT_API_KEY:?Set your Ailoot API key}\"\nBATCH_OPERATION_ID=\"$(python3 - <<'PY_ID'\nimport json\nfrom pathlib import Path\nfrom urllib.parse import quote\nresponse = json.loads(Path(\"batch-create-response.json\").read_text(encoding=\"utf-8\"))\noperation = response.get(\"id\")\nif not isinstance(operation, str) or not operation: raise SystemExit(\"No actual original operation ID; preserve the response and do not resubmit\")\nprint(quote(operation, safe=\"\"))\nPY_ID\n)\"\ncurl --fail-with-body --silent --show-error \"https://api.ailoot.ai/v1/batches/$BATCH_OPERATION_ID\" \\\n  -H \"Authorization: Bearer $AILOOT_API_KEY\" -o batch-status-response.json\n",
            "label": "curl · original operation status",
            "language": "bash"
          },
          {
            "code": "import json\nfrom pathlib import Path\nraw = Path(\"batch-status-response.json\").read_bytes()\nresponse = json.loads(raw)\nif response.get(\"status\") != \"completed\":\n    raise SystemExit(\"Keep the original operation; read its status without resubmitting\")\nresults = response.get(\"results\")\nif not isinstance(results, list) or not results:\n    raise SystemExit(\"Preserve the original response; completed results are missing\")\nPath(\"batch-results.jsonl\").write_text(\"\".join(json.dumps(item, ensure_ascii=False) + \"\\n\" for item in results), encoding=\"utf-8\")\n# Preserve batch-status-response.json with aggregate usage and every result/error.\n",
            "label": "Python · save every completed result",
            "language": "python"
          }
        ],
        "family": "batch",
        "fast_multiplier": null,
        "flex_multiplier": null,
        "fmt": "batches",
        "hints": [
          "Read your actual request items before submission; inline requests are required.",
          "Keep the returned operation ID and every result. Never replay an unknown submission."
        ],
        "http": "POST",
        "in": 2,
        "input": [
          "text"
        ],
        "label": "Batch",
        "max_out": null,
        "max_reasoning_effort_multiplier": null,
        "out": 10,
        "output": [
          "text"
        ],
        "path": "/v1/batches",
        "price_conditions": [
          {
            "label": "Fast mode",
            "value": "Not specified",
            "when": "When fast mode is selected"
          },
          {
            "label": "Flex mode",
            "value": "Not specified",
            "when": "When flex mode is selected"
          },
          {
            "label": "Maximum reasoning effort",
            "value": "Not specified",
            "when": "When maximum reasoning effort uses the default adjustment"
          },
          {
            "label": "Explicit cache pricing",
            "value": "Not enabled",
            "when": "When explicit cache is requested"
          }
        ],
        "pricing": {
          "billing_mode": "token",
          "image_input_price": null,
          "image_output_price": null,
          "per_request_price": null
        },
        "pricing_profiles": [
          {
            "dimensions": {
              "regime": "base"
            },
            "label": "Base token rates",
            "units": [
              {
                "amount": "0.002000",
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "input_price",
                "label": "Input tokens",
                "native_amount_usd_per_unit": "0.000002",
                "native_quantity": 1,
                "native_unit": "input_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "input_token"
              },
              {
                "amount": "0.01000",
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "output_price",
                "label": "Output tokens",
                "native_amount_usd_per_unit": "0.00001",
                "native_quantity": 1,
                "native_unit": "output_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "out",
                "unit": "output_token"
              },
              {
                "amount": "0.0001000",
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "cache_read_price",
                "label": "Cache read",
                "native_amount_usd_per_unit": "0.0000001",
                "native_quantity": 1,
                "native_unit": "cached_input_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "cached_input_token"
              },
              {
                "amount": "0.000375000",
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "cache_write_price",
                "label": "Cache write",
                "native_amount_usd_per_unit": "0.000000375",
                "native_quantity": 1,
                "native_unit": "generic_cache_creation_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "generic_cache_creation_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "cache_write_1h_price",
                "label": "Cache write, 1 hour",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "one_hour_cache_creation_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "one_hour_cache_creation_token"
              }
            ]
          },
          {
            "dimensions": {
              "max_context_tokens_inclusive": null,
              "min_context_tokens_exclusive": 0
            },
            "label": "Request-length tier 1",
            "units": [
              {
                "amount": "0.002000",
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "input_price",
                "label": "Input tokens",
                "native_amount_usd_per_unit": "0.000002",
                "native_quantity": 1,
                "native_unit": "input_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "input_token"
              },
              {
                "amount": "0.01000",
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "output_price",
                "label": "Output tokens",
                "native_amount_usd_per_unit": "0.00001",
                "native_quantity": 1,
                "native_unit": "output_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "out",
                "unit": "output_token"
              },
              {
                "amount": "0.0001000",
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "cache_read_price",
                "label": "Cache read",
                "native_amount_usd_per_unit": "0.0000001",
                "native_quantity": 1,
                "native_unit": "cached_input_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "cached_input_token"
              },
              {
                "amount": "0.000375000",
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "cache_write_price",
                "label": "Cache write",
                "native_amount_usd_per_unit": "0.000000375",
                "native_quantity": 1,
                "native_unit": "generic_cache_creation_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "generic_cache_creation_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "cache_write_1h_price",
                "label": "Cache write, 1 hour",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "one_hour_cache_creation_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "one_hour_cache_creation_token"
              }
            ]
          }
        ],
        "request_model_id": "google/gemini-4-argon:batch",
        "route_label": "Ultra",
        "status_reads": [
          "GET /v1/batches/{operation_id}"
        ],
        "tiers": [
          {
            "cache_read": 0.1,
            "cache_read_multiplier": null,
            "cache_write": 0.375,
            "cache_write_1h": null,
            "cache_write_multiplier": null,
            "created_at": "0001-01-01T00:00:00Z",
            "in": 2,
            "input_multiplier": null,
            "max": null,
            "max_tokens": null,
            "min": 0,
            "min_tokens": 0,
            "out": 10,
            "output_multiplier": null,
            "per_request_price": null,
            "sort_order": 0,
            "tier_label": "",
            "updated_at": "0001-01-01T00:00:00Z"
          }
        ],
        "units": [
          {
            "amount": "0.002000",
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": true,
            "estimate_only": false,
            "key": "input_price",
            "label": "Input tokens",
            "native_amount_usd_per_unit": "0.000002",
            "native_quantity": 1,
            "native_unit": "input_token",
            "public_unit_label": "/ 1K tokens",
            "quantity": 1000,
            "quantity_is_estimate": false,
            "rate_role": "typed_native_retail_rate",
            "side": "in",
            "unit": "input_token"
          },
          {
            "amount": "0.01000",
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": true,
            "estimate_only": false,
            "key": "output_price",
            "label": "Output tokens",
            "native_amount_usd_per_unit": "0.00001",
            "native_quantity": 1,
            "native_unit": "output_token",
            "public_unit_label": "/ 1K tokens",
            "quantity": 1000,
            "quantity_is_estimate": false,
            "rate_role": "typed_native_retail_rate",
            "side": "out",
            "unit": "output_token"
          },
          {
            "amount": "0.0001000",
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": true,
            "estimate_only": false,
            "key": "cache_read_price",
            "label": "Cache read",
            "native_amount_usd_per_unit": "0.0000001",
            "native_quantity": 1,
            "native_unit": "cached_input_token",
            "public_unit_label": "/ 1K tokens",
            "quantity": 1000,
            "quantity_is_estimate": false,
            "rate_role": "typed_native_retail_rate",
            "side": "in",
            "unit": "cached_input_token"
          },
          {
            "amount": "0.000375000",
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": true,
            "estimate_only": false,
            "key": "cache_write_price",
            "label": "Cache write",
            "native_amount_usd_per_unit": "0.000000375",
            "native_quantity": 1,
            "native_unit": "generic_cache_creation_token",
            "public_unit_label": "/ 1K tokens",
            "quantity": 1000,
            "quantity_is_estimate": false,
            "rate_role": "typed_native_retail_rate",
            "side": "in",
            "unit": "generic_cache_creation_token"
          },
          {
            "amount": null,
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": true,
            "estimate_only": false,
            "key": "cache_write_1h_price",
            "label": "Cache write, 1 hour",
            "native_amount_usd_per_unit": null,
            "native_quantity": 1,
            "native_unit": "one_hour_cache_creation_token",
            "public_unit_label": "/ 1K tokens",
            "quantity": 1000,
            "quantity_is_estimate": false,
            "rate_role": "typed_native_retail_rate",
            "side": "in",
            "unit": "one_hour_cache_creation_token"
          }
        ]
      }
    ],
    "model_aliases": [
      {
        "canonical_model_id": "google/gemini-4-argon:batch",
        "request_model_id": "google/gemini-4-argon:batch",
        "route_label": "Ultra"
      }
    ],
    "name": "Google: Gemini 4 Argon (batch)",
    "price": {
      "in": 2,
      "in_label": null,
      "out": 10,
      "out_label": null,
      "scope_label": "Token rates",
      "sort_in": 2,
      "sort_out": 10,
      "varies": true
    },
    "short": "Gemini 4 Argon (batch) adalah varian batch yang dicantumkan secara terpisah dari model penalaran konteks panjang Google. Model ini menerima teks, gambar, audio, video, dan dokumen serta menghasilkan teks, dengan fitur pemanggilan alat dan keluaran terstruktur. Bedakan pengenal dan alokasi keluarannya dari Argon standar saat mengatur pekerjaan batch."
  },
  "renderer_schema": {
    "method_order": "Original DTO methods order; every exact route/format/path/caller survives.",
    "prices": "Original public DTO fields and original native display HTML; no flattened or normalized offers."
  },
  "representation": "exact-public-dto-and-native-renderer-html",
  "representationNotes": {
    "current_reference": {
      "about_json_pointer": "/aboutHtml",
      "methods": [
        {
          "contract_json_pointer": "/methods/0/rawMethod/contract",
          "html_json_pointer": "/methods/0/html",
          "method_ordinal": 0
        }
      ],
      "role": "current-semantic-reference"
    },
    "raw_input": {
      "examples_role": "historical-input-not-current-ready-examples",
      "json_pointers": [
        "/rawModel",
        "/methods/0/rawMethod"
      ],
      "role": "historical-owner-input"
    },
    "schema": "ailoot-native-model-representations-v1"
  },
  "schema": "ailoot-static-model-facts-v1",
  "schema_version": 1,
  "shortText": "Gemini 4 Argon (batch) adalah varian batch yang dicantumkan secara terpisah dari model penalaran konteks panjang Google. Model ini menerima teks, gambar, audio, video, dan dokumen serta menghasilkan teks, dengan fitur pemanggilan alat dan keluaran terstruktur. Bedakan pengenal dan alokasi keluarannya dari Argon standar saat mengatur pekerjaan batch.",
  "source": {
    "audit_sha256": "2e00086bcbfc28e64d0cebe97aa47c17d8d5618963027f8ffb9dc6123d7d25b1",
    "bridge_map_sha256": "1125275768b9636fc8461bc7da5061239a81ddfe508e2557843ca42c58ab0036",
    "raw_model_json_sha256": "f0c6408dd76c5e197f72d6a11a3ef5a1c68cc5088615f2abc8f68d6863a3ed51",
    "renderer_sha256": "2a0471475a29000c23db326ca1e315df73dee7524f6bc2907818ee3458813f2d"
  },
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