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  "aboutHtml": "<p>NVIDIA Nemotron 3 Super adalah model penalaran dan percakapan serbaguna yang dirancang untuk agen kolaboratif serta alur kerja bervolume tinggi, termasuk otomatisasi tiket TI. Model ini memiliki total 120B parameter dan mengaktifkan 12B. Arsitektur hibridanya menggabungkan lapisan Mamba-2, perhatian, dan Latent Mixture-of-Experts. Lapisan Multi-Token Prediction menambahkan mekanisme untuk memprediksi token mendatang dan mendukung resep decoding spekulatif bawaan NVIDIA.</p><p>Model ini menerima teks dan mengembalikan teks, termasuk penjelasan, draf respons, kode, dan permintaan panggilan alat dalam aplikasi yang sesuai dan terhubung dengan alat. Penggunaan yang dimaksud mencakup agen, chatbot, retrieval-augmented generation, kepatuhan pada instruksi kompleks, dan penalaran berkonteks panjang. Prompt yang berguna menentukan artefak yang diinginkan serta kondisi yang mengaturnya. Misalnya: “Klasifikasikan insiden ini menggunakan kebijakan yang diberikan, jelaskan prioritas berdasarkan bukti, susun balasan, dan daftarkan fakta yang belum tersedia yang diperlukan sebelum merekomendasikan perbaikan.”</p><p>Untuk pemrosesan tiket TI, berikan teks tiket, riwayat yang relevan, detail lingkungan, serta aturan perutean atau eskalasi yang berlaku. Mintalah kolom terpisah untuk gejala yang diamati, kemungkinan penyebab, usulan pemeriksaan, dan balasan kepada pengguna. Perbedaan ini mencegah hipotesis dicatat sebagai diagnosis yang terkonfirmasi. Jika alat diagnostik dijalankan, masukkan hasil aktualnya ke percakapan sebelum meminta langkah berikutnya. Ringkasan tiket yang selesai harus menyebutkan apa yang diamati dan diselesaikan, serta pertanyaan yang masih terbuka.</p><p>Untuk pekerjaan RAG dan basis pengetahuan, beri label bagian yang diambil dan nyatakan apakah model harus menjawab hanya berdasarkan bagian tersebut. Mintalah jawaban dengan rujukan sumber pendukung serta setiap pertentangan antar bahan. Contoh praktis adalah: “Bandingkan bagian runbook ini, identifikasi langkah yang berlaku untuk lingkungan yang diberikan, dan kembalikan prosedur berurutan dengan pemeriksaan setelah setiap langkah penting.” Pertahankan versi dan kondisi dari sumber; prosedur yang jelas tetap dapat salah jika menggabungkan instruksi untuk lingkungan yang tidak kompatibel.</p><p>Untuk tugas agen kolaboratif, berikan tujuan yang jelas pada setiap tahap dan pertahankan hasil antara yang berguna. Super ditujukan untuk menalar pengamatan alat dan mempertahankan percakapan dengan beberapa langkah. Aplikasi yang menaunginya menjalankan alat dan menyimpan status tugas. Mintalah model menjelaskan apa yang diubah oleh pengamatan baru, mempertahankan temuan sebelumnya yang masih berlaku, serta membedakan tindakan yang diusulkan dari hasil yang tercatat. Untuk pemrograman, berikan berkas yang relevan dan perilaku yang diharapkan, lalu mintalah kode yang direvisi, penjelasan perubahan, dan kasus yang diperlukan untuk memverifikasinya.</p><p>NVIDIA mendokumentasikan proses berpikir yang diaktifkan secara bawaan serta mode jawaban langsung dengan proses berpikir dinonaktifkan melalui templat percakapan. Super juga memiliki opsi penalaran berupaya rendah, yang menggunakan lebih sedikit token penalaran daripada proses berpikir penuh dan disarankan sebagai titik awal sebelum penyetelan anggaran secara eksplisit. Ini merupakan pengaturan Super; opsi upaya sedang Ultra yang terpisah tidak boleh disalin ke dalamnya. Pilih bentuk respons akhir dan sisakan ruang bagi respons tersebut setelah penalaran, terutama ketika hasil alat atau perbandingan sumber yang kompleks memerlukan penjelasan.</p><p>Model ini mendukung konteks hingga 1M token, sedangkan konfigurasi Hugging Face pembuatnya menggunakan nilai bawaan 256K karena konteks yang lebih panjang memerlukan lebih banyak memori. Untuk masukan panjang, bekerjalah dalam konfigurasi yang berlaku, pertahankan batas dokumen dan label sumber, serta sisakan ruang respons. Mintalah hubungan yang perlu ditelusuri di seluruh bahan, bukan ringkasan tanpa arah atas semuanya. Maksimum tingkat model bukan janji bahwa setiap konfigurasi layanan menggunakan jendela yang sama.</p><p>Pembuatnya mencantumkan bahasa Inggris, Prancis, Jerman, Italia, Jepang, Spanyol, dan Tionghoa. Tentukan bahasa akhir sambil mempertahankan pengenal kode dan istilah sumber yang harus tetap persis. Untuk pekerjaan dukungan multibahasa, mintalah model mempertahankan makna teknis dan kriteria eskalasi sambil menyesuaikan kata-kata bagi pembaca. Tinjau istilah yang tidak dikenal atau masukan yang ambigu, alih-alih memperlakukan kelancaran bahasa sebagai bukti bahwa interpretasinya benar.</p><p>Keluaran akhir yang berguna bersifat ringkas dan dapat diperiksa: jawaban atau artefak yang direvisi, pengamatan pendukung, asumsi, serta pekerjaan yang tersisa. Untuk prosedur yang dihasilkan, periksa langkah pemeriksaan terhadap lingkungan aktual. Untuk kode, bandingkan perubahan usulan dengan perilaku yang diamati. Untuk jawaban berbasis sumber, pastikan bahwa bagian yang dikutip mendukung pernyataan. Pelatihan penalaran dan agen Super membantu mengatur pekerjaan ini; hasil aktual dibuktikan oleh bahan dan catatan eksekusi yang digunakan untuk memeriksanya.</p>",
  "aboutText": "NVIDIA Nemotron 3 Super adalah model penalaran dan percakapan serbaguna yang dirancang untuk agen kolaboratif serta alur kerja bervolume tinggi, termasuk otomatisasi tiket TI. Model ini memiliki total 120B parameter dan mengaktifkan 12B. Arsitektur hibridanya menggabungkan lapisan Mamba-2, perhatian, dan Latent Mixture-of-Experts. Lapisan Multi-Token Prediction menambahkan mekanisme untuk memprediksi token mendatang dan mendukung resep decoding spekulatif bawaan NVIDIA.\n\nModel ini menerima teks dan mengembalikan teks, termasuk penjelasan, draf respons, kode, dan permintaan panggilan alat dalam aplikasi yang sesuai dan terhubung dengan alat. Penggunaan yang dimaksud mencakup agen, chatbot, retrieval-augmented generation, kepatuhan pada instruksi kompleks, dan penalaran berkonteks panjang. Prompt yang berguna menentukan artefak yang diinginkan serta kondisi yang mengaturnya. Misalnya: “Klasifikasikan insiden ini menggunakan kebijakan yang diberikan, jelaskan prioritas berdasarkan bukti, susun balasan, dan daftarkan fakta yang belum tersedia yang diperlukan sebelum merekomendasikan perbaikan.”\n\nUntuk pemrosesan tiket TI, berikan teks tiket, riwayat yang relevan, detail lingkungan, serta aturan perutean atau eskalasi yang berlaku. Mintalah kolom terpisah untuk gejala yang diamati, kemungkinan penyebab, usulan pemeriksaan, dan balasan kepada pengguna. Perbedaan ini mencegah hipotesis dicatat sebagai diagnosis yang terkonfirmasi. Jika alat diagnostik dijalankan, masukkan hasil aktualnya ke percakapan sebelum meminta langkah berikutnya. Ringkasan tiket yang selesai harus menyebutkan apa yang diamati dan diselesaikan, serta pertanyaan yang masih terbuka.\n\nUntuk pekerjaan RAG dan basis pengetahuan, beri label bagian yang diambil dan nyatakan apakah model harus menjawab hanya berdasarkan bagian tersebut. Mintalah jawaban dengan rujukan sumber pendukung serta setiap pertentangan antar bahan. Contoh praktis adalah: “Bandingkan bagian runbook ini, identifikasi langkah yang berlaku untuk lingkungan yang diberikan, dan kembalikan prosedur berurutan dengan pemeriksaan setelah setiap langkah penting.” Pertahankan versi dan kondisi dari sumber; prosedur yang jelas tetap dapat salah jika menggabungkan instruksi untuk lingkungan yang tidak kompatibel.\n\nUntuk tugas agen kolaboratif, berikan tujuan yang jelas pada setiap tahap dan pertahankan hasil antara yang berguna. Super ditujukan untuk menalar pengamatan alat dan mempertahankan percakapan dengan beberapa langkah. Aplikasi yang menaunginya menjalankan alat dan menyimpan status tugas. Mintalah model menjelaskan apa yang diubah oleh pengamatan baru, mempertahankan temuan sebelumnya yang masih berlaku, serta membedakan tindakan yang diusulkan dari hasil yang tercatat. Untuk pemrograman, berikan berkas yang relevan dan perilaku yang diharapkan, lalu mintalah kode yang direvisi, penjelasan perubahan, dan kasus yang diperlukan untuk memverifikasinya.\n\nNVIDIA mendokumentasikan proses berpikir yang diaktifkan secara bawaan serta mode jawaban langsung dengan proses berpikir dinonaktifkan melalui templat percakapan. Super juga memiliki opsi penalaran berupaya rendah, yang menggunakan lebih sedikit token penalaran daripada proses berpikir penuh dan disarankan sebagai titik awal sebelum penyetelan anggaran secara eksplisit. Ini merupakan pengaturan Super; opsi upaya sedang Ultra yang terpisah tidak boleh disalin ke dalamnya. Pilih bentuk respons akhir dan sisakan ruang bagi respons tersebut setelah penalaran, terutama ketika hasil alat atau perbandingan sumber yang kompleks memerlukan penjelasan.\n\nModel ini mendukung konteks hingga 1M token, sedangkan konfigurasi Hugging Face pembuatnya menggunakan nilai bawaan 256K karena konteks yang lebih panjang memerlukan lebih banyak memori. Untuk masukan panjang, bekerjalah dalam konfigurasi yang berlaku, pertahankan batas dokumen dan label sumber, serta sisakan ruang respons. Mintalah hubungan yang perlu ditelusuri di seluruh bahan, bukan ringkasan tanpa arah atas semuanya. Maksimum tingkat model bukan janji bahwa setiap konfigurasi layanan menggunakan jendela yang sama.\n\nPembuatnya mencantumkan bahasa Inggris, Prancis, Jerman, Italia, Jepang, Spanyol, dan Tionghoa. Tentukan bahasa akhir sambil mempertahankan pengenal kode dan istilah sumber yang harus tetap persis. Untuk pekerjaan dukungan multibahasa, mintalah model mempertahankan makna teknis dan kriteria eskalasi sambil menyesuaikan kata-kata bagi pembaca. Tinjau istilah yang tidak dikenal atau masukan yang ambigu, alih-alih memperlakukan kelancaran bahasa sebagai bukti bahwa interpretasinya benar.\n\nKeluaran akhir yang berguna bersifat ringkas dan dapat diperiksa: jawaban atau artefak yang direvisi, pengamatan pendukung, asumsi, serta pekerjaan yang tersisa. Untuk prosedur yang dihasilkan, periksa langkah pemeriksaan terhadap lingkungan aktual. Untuk kode, bandingkan perubahan usulan dengan perilaku yang diamati. Untuk jawaban berbasis sumber, pastikan bahwa bagian yang dikutip mendukung pernyataan. Pelatihan penalaran dan agen Super membantu mengatur pekerjaan ini; hasil aktual dibuktikan oleh bahan dan catatan eksekusi yang digunakan untuk memeriksanya.",
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      "html": "<div class=\"sheet-head\"><span class=\"mav\" aria-hidden=\"true\">NV</span><h2 id=\"sheet-title\">NVIDIA: Nemotron 3 Super (free)</h2><button class=\"icon-btn\" type=\"button\" data-close-sheet aria-label=\"Tutup\">×</button></div><div class=\"idline\"><span>NVIDIA /</span><code>nvidia/nemotron-3-super-120b-a12b:free</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|chat|/v1/chat/completions|nvidia%2Fnemotron-3-super-120b-a12b%3Afree\">Chat</button><button type=\"button\" role=\"tab\" tabindex=\"-1\" aria-controls=\"card-method-content\" aria-selected=\"false\" id=\"card-method-tab-1\" data-card-method=\"Ultra|messages|/v1/messages|nvidia%2Fnemotron-3-super-120b-a12b%3Afree\">Messages</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\">NVIDIA Nemotron 3 Super adalah model penalaran teks dan percakapan dengan total 120B parameter dan 12B parameter aktif. Model ini dirancang untuk agen kolaboratif, tugas bervolume tinggi seperti pemrosesan tiket TI, penggunaan alat, dan RAG, dengan mode berpikir, jawaban langsung, serta penalaran berupaya rendah yang didokumentasikan NVIDIA.</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>NVIDIA Nemotron 3 Super adalah model penalaran dan percakapan serbaguna yang dirancang untuk agen kolaboratif serta alur kerja bervolume tinggi, termasuk otomatisasi tiket TI. Model ini memiliki total 120B parameter dan mengaktifkan 12B. Arsitektur hibridanya menggabungkan lapisan Mamba-2, perhatian, dan Latent Mixture-of-Experts. Lapisan Multi-Token Prediction menambahkan mekanisme untuk memprediksi token mendatang dan mendukung resep decoding spekulatif bawaan NVIDIA.</p><p>Model ini menerima teks dan mengembalikan teks, termasuk penjelasan, draf respons, kode, dan permintaan panggilan alat dalam aplikasi yang sesuai dan terhubung dengan alat. Penggunaan yang dimaksud mencakup agen, chatbot, retrieval-augmented generation, kepatuhan pada instruksi kompleks, dan penalaran berkonteks panjang. Prompt yang berguna menentukan artefak yang diinginkan serta kondisi yang mengaturnya. Misalnya: “Klasifikasikan insiden ini menggunakan kebijakan yang diberikan, jelaskan prioritas berdasarkan bukti, susun balasan, dan daftarkan fakta yang belum tersedia yang diperlukan sebelum merekomendasikan perbaikan.”</p><p>Untuk pemrosesan tiket TI, berikan teks tiket, riwayat yang relevan, detail lingkungan, serta aturan perutean atau eskalasi yang berlaku. Mintalah kolom terpisah untuk gejala yang diamati, kemungkinan penyebab, usulan pemeriksaan, dan balasan kepada pengguna. Perbedaan ini mencegah hipotesis dicatat sebagai diagnosis yang terkonfirmasi. Jika alat diagnostik dijalankan, masukkan hasil aktualnya ke percakapan sebelum meminta langkah berikutnya. Ringkasan tiket yang selesai harus menyebutkan apa yang diamati dan diselesaikan, serta pertanyaan yang masih terbuka.</p><p>Untuk pekerjaan RAG dan basis pengetahuan, beri label bagian yang diambil dan nyatakan apakah model harus menjawab hanya berdasarkan bagian tersebut. Mintalah jawaban dengan rujukan sumber pendukung serta setiap pertentangan antar bahan. Contoh praktis adalah: “Bandingkan bagian runbook ini, identifikasi langkah yang berlaku untuk lingkungan yang diberikan, dan kembalikan prosedur berurutan dengan pemeriksaan setelah setiap langkah penting.” Pertahankan versi dan kondisi dari sumber; prosedur yang jelas tetap dapat salah jika menggabungkan instruksi untuk lingkungan yang tidak kompatibel.</p><p>Untuk tugas agen kolaboratif, berikan tujuan yang jelas pada setiap tahap dan pertahankan hasil antara yang berguna. Super ditujukan untuk menalar pengamatan alat dan mempertahankan percakapan dengan beberapa langkah. Aplikasi yang menaunginya menjalankan alat dan menyimpan status tugas. Mintalah model menjelaskan apa yang diubah oleh pengamatan baru, mempertahankan temuan sebelumnya yang masih berlaku, serta membedakan tindakan yang diusulkan dari hasil yang tercatat. Untuk pemrograman, berikan berkas yang relevan dan perilaku yang diharapkan, lalu mintalah kode yang direvisi, penjelasan perubahan, dan kasus yang diperlukan untuk memverifikasinya.</p><p>NVIDIA mendokumentasikan proses berpikir yang diaktifkan secara bawaan serta mode jawaban langsung dengan proses berpikir dinonaktifkan melalui templat percakapan. Super juga memiliki opsi penalaran berupaya rendah, yang menggunakan lebih sedikit token penalaran daripada proses berpikir penuh dan disarankan sebagai titik awal sebelum penyetelan anggaran secara eksplisit. Ini merupakan pengaturan Super; opsi upaya sedang Ultra yang terpisah tidak boleh disalin ke dalamnya. Pilih bentuk respons akhir dan sisakan ruang bagi respons tersebut setelah penalaran, terutama ketika hasil alat atau perbandingan sumber yang kompleks memerlukan penjelasan.</p><p>Model ini mendukung konteks hingga 1M token, sedangkan konfigurasi Hugging Face pembuatnya menggunakan nilai bawaan 256K karena konteks yang lebih panjang memerlukan lebih banyak memori. Untuk masukan panjang, bekerjalah dalam konfigurasi yang berlaku, pertahankan batas dokumen dan label sumber, serta sisakan ruang respons. Mintalah hubungan yang perlu ditelusuri di seluruh bahan, bukan ringkasan tanpa arah atas semuanya. Maksimum tingkat model bukan janji bahwa setiap konfigurasi layanan menggunakan jendela yang sama.</p><p>Pembuatnya mencantumkan bahasa Inggris, Prancis, Jerman, Italia, Jepang, Spanyol, dan Tionghoa. Tentukan bahasa akhir sambil mempertahankan pengenal kode dan istilah sumber yang harus tetap persis. Untuk pekerjaan dukungan multibahasa, mintalah model mempertahankan makna teknis dan kriteria eskalasi sambil menyesuaikan kata-kata bagi pembaca. Tinjau istilah yang tidak dikenal atau masukan yang ambigu, alih-alih memperlakukan kelancaran bahasa sebagai bukti bahwa interpretasinya benar.</p><p>Keluaran akhir yang berguna bersifat ringkas dan dapat diperiksa: jawaban atau artefak yang direvisi, pengamatan pendukung, asumsi, serta pekerjaan yang tersisa. Untuk prosedur yang dihasilkan, periksa langkah pemeriksaan terhadap lingkungan aktual. Untuk kode, bandingkan perubahan usulan dengan perilaku yang diamati. Untuk jawaban berbasis sumber, pastikan bahwa bagian yang dikutip mendukung pernyataan. Pelatihan penalaran dan agen Super membantu mengatur pekerjaan ini; hasil aktual dibuktikan oleh bahan dan catatan eksekusi yang digunakan untuk memeriksanya.</p></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 · OpenAI Chat</b> <code>POST /v1/chat/completions</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>Konteks</dt><dd>262.144 tokens</dd></div><div><dt>Keluaran maksimum</dt><dd>235.929 tokens</dd></div><div><dt>Format keluaran</dt><dd>JSON</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><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>nvidia/nemotron-3-super-120b-a12b:free</div></td><td data-cell-label=\"Bawaan\" data-default=\"unspecified\"><span class=\"card-cell-label\">Bawaan</span>—</td></tr><tr><th data-cell-label=\"Kolom\" scope=\"row\"><span class=\"card-cell-label\">Kolom</span><code class=\"card-field-name\">messages</code></th><td data-cell-label=\"Jenis\" data-field-type><span class=\"card-cell-label\">Jenis</span><code>array</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><th data-cell-label=\"Kolom\" scope=\"row\"><span class=\"card-cell-label\">Kolom</span><code class=\"card-field-name\">stream</code></th><td data-cell-label=\"Jenis\" data-field-type><span class=\"card-cell-label\">Jenis</span><code>boolean</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</div></td><td data-cell-label=\"Bawaan\" data-default=\"known\"><span class=\"card-cell-label\">Bawaan</span>false</td></tr><tr><th data-cell-label=\"Kolom\" scope=\"row\"><span class=\"card-cell-label\">Kolom</span><code class=\"card-field-name\">max_tokens</code></th><td data-cell-label=\"Jenis\" data-field-type><span class=\"card-cell-label\">Jenis</span><code>integer</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>Minimum: 1</div><div>Maksimum: 235.929</div></td><td data-cell-label=\"Bawaan\" data-default=\"unspecified\"><span class=\"card-cell-label\">Bawaan</span>—</td></tr><tr><th data-cell-label=\"Kolom\" scope=\"row\"><span class=\"card-cell-label\">Kolom</span><code class=\"card-field-name\">max_completion_tokens</code></th><td data-cell-label=\"Jenis\" data-field-type><span class=\"card-cell-label\">Jenis</span><code>integer</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>Minimum: 1</div><div>Maksimum: 235.929</div></td><td data-cell-label=\"Bawaan\" data-default=\"unspecified\"><span class=\"card-cell-label\">Bawaan</span>—</td></tr><tr><th data-cell-label=\"Kolom\" scope=\"row\"><span class=\"card-cell-label\">Kolom</span><code class=\"card-field-name\">n</code></th><td data-cell-label=\"Jenis\" data-field-type><span class=\"card-cell-label\">Jenis</span><code>integer</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>Minimum: 1</div><div>Maksimum: 128</div></td><td data-cell-label=\"Bawaan\" data-default=\"unspecified\"><span class=\"card-cell-label\">Bawaan</span>—</td></tr><tr><th data-cell-label=\"Kolom\" scope=\"row\"><span class=\"card-cell-label\">Kolom</span><code class=\"card-field-name\">temperature</code></th><td data-cell-label=\"Jenis\" data-field-type><span class=\"card-cell-label\">Jenis</span><code>number</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><th data-cell-label=\"Kolom\" scope=\"row\"><span class=\"card-cell-label\">Kolom</span><code class=\"card-field-name\">top_p</code></th><td data-cell-label=\"Jenis\" data-field-type><span class=\"card-cell-label\">Jenis</span><code>number</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><th data-cell-label=\"Kolom\" scope=\"row\"><span class=\"card-cell-label\">Kolom</span><code class=\"card-field-name\">seed</code></th><td data-cell-label=\"Jenis\" data-field-type><span class=\"card-cell-label\">Jenis</span><code>integer</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><th data-cell-label=\"Kolom\" scope=\"row\"><span class=\"card-cell-label\">Kolom</span><code class=\"card-field-name\">stop</code></th><td data-cell-label=\"Jenis\" data-field-type><span class=\"card-cell-label\">Jenis</span><code></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><th data-cell-label=\"Kolom\" scope=\"row\"><span class=\"card-cell-label\">Kolom</span><code class=\"card-field-name\">frequency_penalty</code></th><td data-cell-label=\"Jenis\" data-field-type><span class=\"card-cell-label\">Jenis</span><code>number</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><th data-cell-label=\"Kolom\" scope=\"row\"><span class=\"card-cell-label\">Kolom</span><code class=\"card-field-name\">presence_penalty</code></th><td data-cell-label=\"Jenis\" data-field-type><span class=\"card-cell-label\">Jenis</span><code>number</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><th data-cell-label=\"Kolom\" scope=\"row\"><span class=\"card-cell-label\">Kolom</span><code class=\"card-field-name\">user</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></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>model, messages</td></tr><tr><th data-cell-label=\"Parameter\" scope=\"row\"><span class=\"card-cell-label\">Parameter</span><code>optional</code></th><td data-cell-label=\"Kontrak\"><span class=\"card-cell-label\">Kontrak</span>stream, max_tokens, max_completion_tokens, n, temperature, top_p, seed, stop, frequency_penalty, presence_penalty, user</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>conditions</code></th><td data-cell-label=\"Kontrak\"><span class=\"card-cell-label\">Kontrak</span>Use literal text messages only. Cache controls, tools, image/audio/video content and streamed responses are unavailable for this method., The complete encoded JSON request must not exceed 262144 bytes.</td></tr></tbody></table></div><p>Siklus hidup: <code>synchronous_json</code></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>Tarif standar <span class=\"note-s\">Saat mode fast dipilih</span></dd><dt>Mode Flex</dt><dd>Tarif standar <span class=\"note-s\">Saat mode flex dipilih</span></dd><dt>Upaya penalaran maksimum</dt><dd>Tarif standar <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><dt>Tarif nol khusus teks</dt><dd>Text input and output only. Cache, tools, media and streaming are unavailable. <span class=\"note-s\">Untuk masukan dan keluaran yang hanya berupa teks</span></dd></dl></div><div data-declared-tariff-pricing><h4>Tarif Ailoot</h4><h4>Harga menurut konfigurasi</h4><div class=\"tw\" data-pricing-profiles><table><thead><tr><th>Konfigurasi</th><th>Jadwal tarif</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=\"Biaya\"><span class=\"card-cell-label\">Biaya</span><div><span>Masukan · Token masukan</span> <b>$0</b> <span class=\"price-unit\">/ 1K token</span></div><div><span>Keluaran · Token keluaran</span> <b>$0</b> <span class=\"price-unit\">/ 1K token</span></div><div><span>Masukan · Pembacaan cache</span> <b>—</b> <span class=\"price-unit\">/ 1K token</span></div><div><span>Masukan · Penulisan cache</span> <b>—</b> <span class=\"price-unit\">/ 1K token</span></div><div><span>Masukan · Penulisan cache, 1 jam</span> <b>—</b> <span class=\"price-unit\">/ 1K token</span></div></td></tr></tbody></table></div></div><p class=\"note-s\">Ailoot mencadangkan perkiraan dana sebelum permintaan. Setelah hasil diterima, tagihan akhir diselesaikan berdasarkan penggunaan yang terukur. Penyelesaian tagihan streaming menggunakan catatan penggunaan akhir. <a href=\"/docs/id/billing/reserve/\">Cara kerja cadangan dan penyelesaian tagihan →</a></p></section><section class=\"card-section\" data-card-section=\"examples\"><h3 tabindex=\"-1\">Contoh permintaan</h3><h4>Ailoot Ultra · OpenAI Chat</h4><div class=\"code-group\"><div class=\"cg-bar\"><div class=\"cg-tabs\" role=\"tablist\" aria-label=\"Pilihan kode\"><button class=\"cg-tab\" id=\"model-code-50-tab-0\" role=\"tab\" type=\"button\" aria-controls=\"model-code-50-panel-0\" aria-selected=\"true\" tabindex=\"0\">curl · buat sekali dan simpan hasil secara lengkap</button></div><div class=\"cg-tools\"><button class=\"cg-btn cg-copy\" type=\"button\" aria-label=\"Salin kode\"><svg class=\"cp\" viewBox=\"0 0 16 16\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.4\"><rect x=\"5.25\" y=\"5.25\" width=\"8.5\" height=\"8.5\" rx=\"1.75\"/><path d=\"M10.75 5.25V3.5a1.25 1.25 0 0 0-1.25-1.25H3.5A1.25 1.25 0 0 0 2.25 3.5v6a1.25 1.25 0 0 0 1.25 1.25h1.75\"/></svg><svg class=\"ok\" viewBox=\"0 0 16 16\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.4\"><path d=\"m3 8.5 3.25 3.25L13 5\"/></svg></button></div></div><div class=\"cg-body\"><div class=\"cg-pane\" id=\"model-code-50-panel-0\" role=\"tabpanel\" aria-labelledby=\"model-code-50-tab-0\"><pre data-lang=\"bash\"><code>set -eu\n: &quot;${AILOOT_API_KEY:?Set your Ailoot API key}&quot;\nexport AILOOT_API_KEY\npython3 - &lt;&lt;&#39;PY_REQUEST&#39;\nimport json,os\nfrom pathlib import Path\np=json.loads(&#39;{&quot;model&quot;: &quot;nvidia/nemotron-3-super-120b-a12b:free&quot;, &quot;messages&quot;: [{&quot;role&quot;: &quot;user&quot;, &quot;content&quot;: &quot;Summarize the supplied text in three concise points.&quot;}], &quot;stream&quot;: false}&#39;)\n\nPath(&quot;request.json&quot;).write_text(json.dumps(p,ensure_ascii=False))\nPY_REQUEST\ncurl --fail-with-body --silent --show-error https://api.ailoot.ai/v1/chat/completions \\\n  -H &quot;Authorization: Bearer $AILOOT_API_KEY&quot; -H &#39;Content-Type: application/json&#39; \\\n  --data-binary @request.json -D response-headers.txt -o result.json\n# Submit once. Retain the complete result, original identifiers and every response header.\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 · OpenAI Chat</h4><p class=\"note-s\">JSON</p><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\">Retain the complete response, all actual results, original identifiers, usage and response headers.</p></div><div class=\"card-result-process\" data-unknown-recovery><h5>Jika respons asli perlu diperiksa</h5><p class=\"note-s\">Preserve the original response, headers and X-Client-Request-ID. An uncertain outcome does not authorize another creation.</p></div></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=nvidia%2Fnemotron-3-super-120b-a12b%3Afree&amp;route=Ultra&amp;caller=nvidia%2Fnemotron-3-super-120b-a12b%3Afree&amp;fmt=chat\"><code>nvidia/nemotron-3-super-120b-a12b:free</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=nvidia%2Fnemotron-3-super-120b-a12b%3Afree&amp;route=Ultra&amp;caller=nvidia%2Fnemotron-3-super-120b-a12b%3Afree&amp;fmt=chat\"><code>nvidia/nemotron-3-super-120b-a12b:free</code></a></p></section></div>",
      "method_identity": {
        "effective_request_model_id": "nvidia/nemotron-3-super-120b-a12b:free",
        "fmt": "chat",
        "http": "POST",
        "path": "/v1/chat/completions",
        "request_model_id": "nvidia/nemotron-3-super-120b-a12b:free",
        "route_label": "Ultra"
      },
      "method_key": "Ultra|chat|/v1/chat/completions|nvidia%2Fnemotron-3-super-120b-a12b%3Afree",
      "ordinal": 0,
      "rawMethod": {
        "available": null,
        "cache_read": null,
        "cache_write": null,
        "cache_write_1h": null,
        "contract": {
          "data": {
            "all_results": "Retain the complete response, all actual results, original identifiers, usage and response headers.",
            "authentication": {
              "api_key_source": "AILOOT_API_KEY",
              "header": "Authorization: Bearer"
            },
            "example_body": {
              "messages": [
                {
                  "content": "Summarize the supplied text in three concise points.",
                  "role": "user"
                }
              ],
              "model": "nvidia/nemotron-3-super-120b-a12b:free",
              "stream": false
            },
            "lifecycle": {
              "cancel_endpoint": null,
              "create": {
                "http": "POST",
                "path": "/v1/chat/completions"
              },
              "mode": "synchronous_json",
              "status": [],
              "unknown": "Preserve the original response, headers and X-Client-Request-ID. An uncertain outcome does not authorize another creation.",
              "unknown_no_replay": true
            },
            "outputs": {
              "all_results": "Retain the complete response, all actual results, original identifiers, usage and response headers.",
              "family": "text",
              "format": "JSON"
            },
            "parameters": [
              {
                "default_known": false,
                "enum": [
                  "nvidia/nemotron-3-super-120b-a12b:free"
                ],
                "enum_known": true,
                "name": "model",
                "required": true,
                "type": "string"
              },
              {
                "default_known": false,
                "enum_known": false,
                "items": {
                  "additionalProperties": false,
                  "properties": {
                    "content": {
                      "type": "string"
                    },
                    "role": {
                      "enum": [
                        "user",
                        "assistant",
                        "system",
                        "developer"
                      ],
                      "type": "string"
                    }
                  },
                  "required": [
                    "role",
                    "content"
                  ],
                  "type": "object"
                },
                "minItems": 1,
                "name": "messages",
                "required": true,
                "type": "array"
              },
              {
                "default": false,
                "default_known": true,
                "enum": [
                  false
                ],
                "enum_known": true,
                "name": "stream",
                "required": false,
                "type": "boolean"
              },
              {
                "default_known": false,
                "enum_known": false,
                "maximum": 235929,
                "minimum": 1,
                "name": "max_tokens",
                "required": false,
                "type": "integer"
              },
              {
                "default_known": false,
                "enum_known": false,
                "maximum": 235929,
                "minimum": 1,
                "name": "max_completion_tokens",
                "required": false,
                "type": "integer"
              },
              {
                "default_known": false,
                "enum_known": false,
                "maximum": 128,
                "minimum": 1,
                "name": "n",
                "required": false,
                "type": "integer"
              },
              {
                "default_known": false,
                "enum_known": false,
                "name": "temperature",
                "required": false,
                "type": "number"
              },
              {
                "default_known": false,
                "enum_known": false,
                "name": "top_p",
                "required": false,
                "type": "number"
              },
              {
                "default_known": false,
                "enum_known": false,
                "name": "seed",
                "required": false,
                "type": "integer"
              },
              {
                "default_known": false,
                "enum_known": false,
                "name": "stop",
                "oneOf": [
                  {
                    "type": "string"
                  },
                  {
                    "items": {
                      "type": "string"
                    },
                    "type": "array"
                  }
                ],
                "required": false
              },
              {
                "default_known": false,
                "enum_known": false,
                "name": "frequency_penalty",
                "required": false,
                "type": "number"
              },
              {
                "default_known": false,
                "enum_known": false,
                "name": "presence_penalty",
                "required": false,
                "type": "number"
              },
              {
                "default_known": false,
                "enum_known": false,
                "name": "user",
                "required": false,
                "type": "string"
              }
            ],
            "request_schema": {
              "additionalProperties": false,
              "properties": {
                "frequency_penalty": {
                  "type": "number"
                },
                "max_completion_tokens": {
                  "maximum": 235929,
                  "minimum": 1,
                  "type": "integer"
                },
                "max_tokens": {
                  "maximum": 235929,
                  "minimum": 1,
                  "type": "integer"
                },
                "messages": {
                  "items": {
                    "additionalProperties": false,
                    "properties": {
                      "content": {
                        "type": "string"
                      },
                      "role": {
                        "enum": [
                          "user",
                          "assistant",
                          "system",
                          "developer"
                        ],
                        "type": "string"
                      }
                    },
                    "required": [
                      "role",
                      "content"
                    ],
                    "type": "object"
                  },
                  "minItems": 1,
                  "type": "array"
                },
                "model": {
                  "enum": [
                    "nvidia/nemotron-3-super-120b-a12b:free"
                  ],
                  "type": "string"
                },
                "n": {
                  "maximum": 128,
                  "minimum": 1,
                  "type": "integer"
                },
                "presence_penalty": {
                  "type": "number"
                },
                "seed": {
                  "type": "integer"
                },
                "stop": {
                  "oneOf": [
                    {
                      "type": "string"
                    },
                    {
                      "items": {
                        "type": "string"
                      },
                      "type": "array"
                    }
                  ]
                },
                "stream": {
                  "default": false,
                  "enum": [
                    false
                  ],
                  "type": "boolean"
                },
                "temperature": {
                  "type": "number"
                },
                "top_p": {
                  "type": "number"
                },
                "user": {
                  "type": "string"
                }
              },
              "required": [
                "model",
                "messages"
              ],
              "type": "object"
            },
            "schema_template": {
              "body": {
                "messages": [
                  {
                    "content": "Summarize the supplied text in three concise points.",
                    "role": "user"
                  }
                ],
                "model": "nvidia/nemotron-3-super-120b-a12b:free",
                "stream": false
              },
              "content_type": "application/json"
            }
          },
          "input": {
            "conditions": [
              "Use literal text messages only. Cache controls, tools, image/audio/video content and streamed responses are unavailable for this method.",
              "The complete encoded JSON request must not exceed 262144 bytes."
            ],
            "content_type": "application/json",
            "material_types": [
              "text"
            ],
            "optional": [
              "stream",
              "max_tokens",
              "max_completion_tokens",
              "n",
              "temperature",
              "top_p",
              "seed",
              "stop",
              "frequency_penalty",
              "presence_penalty",
              "user"
            ],
            "required": [
              "model",
              "messages"
            ]
          },
          "lifecycle": {
            "cancel_endpoint": null,
            "create": {
              "http": "POST",
              "path": "/v1/chat/completions"
            },
            "mode": "synchronous_json",
            "status": [],
            "unknown": "Preserve the original response, headers and X-Client-Request-ID. An uncertain outcome does not authorize another creation.",
            "unknown_no_replay": true
          },
          "method": {
            "http": "POST",
            "path": "/v1/chat/completions"
          },
          "method_aliases": [],
          "output": {
            "all_results": "Retain the complete response, all actual results, original identifiers, usage and response headers.",
            "family": "text",
            "format": "JSON"
          }
        },
        "ctx": 262144,
        "declared_pricing_profiles": [
          {
            "dimensions": {
              "regime": "base"
            },
            "label": "Base token rates",
            "units": [
              {
                "amount": "0",
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "input_price",
                "label": "Input tokens",
                "native_amount_usd_per_unit": "0",
                "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",
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "output_price",
                "label": "Output tokens",
                "native_amount_usd_per_unit": "0",
                "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": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "cache_read_price",
                "label": "Cache read",
                "native_amount_usd_per_unit": null,
                "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": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "cache_write_price",
                "label": "Cache write",
                "native_amount_usd_per_unit": null,
                "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}\"\nexport AILOOT_API_KEY\npython3 - <<'PY_REQUEST'\nimport json,os\nfrom pathlib import Path\np=json.loads('{\"model\": \"nvidia/nemotron-3-super-120b-a12b:free\", \"messages\": [{\"role\": \"user\", \"content\": \"Summarize the supplied text in three concise points.\"}], \"stream\": false}')\n\nPath(\"request.json\").write_text(json.dumps(p,ensure_ascii=False))\nPY_REQUEST\ncurl --fail-with-body --silent --show-error https://api.ailoot.ai/v1/chat/completions \\\n  -H \"Authorization: Bearer $AILOOT_API_KEY\" -H 'Content-Type: application/json' \\\n  --data-binary @request.json -D response-headers.txt -o result.json\n# Submit once. Retain the complete result, original identifiers and every response header.\n",
            "label": "curl · create once and retain the complete result",
            "language": "bash"
          }
        ],
        "family": "openai",
        "fast_multiplier": 1,
        "flex_multiplier": 1,
        "fmt": "chat",
        "hints": [
          "Send exact model ID with messages.",
          "Context length is not an output cap.",
          "A text file may supply literal text; image/audio/file-object inputs need exact binding."
        ],
        "http": "POST",
        "img_in": null,
        "img_out": null,
        "in": 0,
        "input": [
          "text"
        ],
        "label": "OpenAI Chat",
        "max_out": 235929,
        "max_reasoning_effort_multiplier": 1,
        "method_aliases": [],
        "out": 0,
        "output": [
          "text"
        ],
        "path": "/v1/chat/completions",
        "price_conditions": [
          {
            "label": "Fast mode",
            "value": "Standard rate",
            "when": "When fast mode is selected"
          },
          {
            "label": "Flex mode",
            "value": "Standard rate",
            "when": "When flex mode is selected"
          },
          {
            "label": "Maximum reasoning effort",
            "value": "Standard rate",
            "when": "When maximum reasoning effort uses the default adjustment"
          },
          {
            "label": "Explicit cache pricing",
            "value": "Not enabled",
            "when": "When explicit cache is requested"
          },
          {
            "label": "Text-only zero rates",
            "value": "Text input and output only. Cache, tools, media and streaming are unavailable.",
            "when": "For text-only input and output"
          }
        ],
        "pricing": {
          "allow_explicit_cache": false,
          "billing_mode": "token",
          "cache_read_price": null,
          "cache_write_1h_price": null,
          "cache_write_price": null,
          "fast_multiplier": 1,
          "flex_multiplier": 1,
          "image_input_price": null,
          "image_output_price": null,
          "input_price": 0,
          "intervals": [],
          "max_reasoning_effort_multiplier": 1,
          "output_price": 0,
          "per_request_price": null
        },
        "pricing_profiles": [
          {
            "dimensions": {
              "regime": "base"
            },
            "label": "Base token rates",
            "units": [
              {
                "amount": "0",
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "input_price",
                "label": "Input tokens",
                "native_amount_usd_per_unit": "0",
                "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",
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "output_price",
                "label": "Output tokens",
                "native_amount_usd_per_unit": "0",
                "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": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "cache_read_price",
                "label": "Cache read",
                "native_amount_usd_per_unit": null,
                "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": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "cache_write_price",
                "label": "Cache write",
                "native_amount_usd_per_unit": null,
                "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": "nvidia/nemotron-3-super-120b-a12b:free",
        "route_label": "Ultra",
        "status_reads": [],
        "tiers": [],
        "unit": "token",
        "units": [
          {
            "amount": "0",
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": true,
            "estimate_only": false,
            "key": "input_price",
            "label": "Input tokens",
            "native_amount_usd_per_unit": "0",
            "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",
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": true,
            "estimate_only": false,
            "key": "output_price",
            "label": "Output tokens",
            "native_amount_usd_per_unit": "0",
            "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": null,
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": true,
            "estimate_only": false,
            "key": "cache_read_price",
            "label": "Cache read",
            "native_amount_usd_per_unit": null,
            "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": null,
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": true,
            "estimate_only": false,
            "key": "cache_write_price",
            "label": "Cache write",
            "native_amount_usd_per_unit": null,
            "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"
          }
        ]
      }
    },
    {
      "html": "<div class=\"sheet-head\"><span class=\"mav\" aria-hidden=\"true\">NV</span><h2 id=\"sheet-title\">NVIDIA: Nemotron 3 Super (free)</h2><button class=\"icon-btn\" type=\"button\" data-close-sheet aria-label=\"Tutup\">×</button></div><div class=\"idline\"><span>NVIDIA /</span><code>nvidia/nemotron-3-super-120b-a12b:free</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=\"-1\" aria-controls=\"card-method-content\" aria-selected=\"false\" id=\"card-method-tab-0\" data-card-method=\"Ultra|chat|/v1/chat/completions|nvidia%2Fnemotron-3-super-120b-a12b%3Afree\">Chat</button><button type=\"button\" role=\"tab\" tabindex=\"0\" aria-controls=\"card-method-content\" aria-selected=\"true\" id=\"card-method-tab-1\" data-card-method=\"Ultra|messages|/v1/messages|nvidia%2Fnemotron-3-super-120b-a12b%3Afree\">Messages</button></div><div id=\"card-method-content\" role=\"tabpanel\" aria-labelledby=\"card-method-tab-1\"><section class=\"card-section\" data-card-section=\"overview\"><h3 tabindex=\"-1\">Mulai</h3><p class=\"mdesc-full\">NVIDIA Nemotron 3 Super adalah model penalaran teks dan percakapan dengan total 120B parameter dan 12B parameter aktif. Model ini dirancang untuk agen kolaboratif, tugas bervolume tinggi seperti pemrosesan tiket TI, penggunaan alat, dan RAG, dengan mode berpikir, jawaban langsung, serta penalaran berupaya rendah yang didokumentasikan NVIDIA.</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>NVIDIA Nemotron 3 Super adalah model penalaran dan percakapan serbaguna yang dirancang untuk agen kolaboratif serta alur kerja bervolume tinggi, termasuk otomatisasi tiket TI. Model ini memiliki total 120B parameter dan mengaktifkan 12B. Arsitektur hibridanya menggabungkan lapisan Mamba-2, perhatian, dan Latent Mixture-of-Experts. Lapisan Multi-Token Prediction menambahkan mekanisme untuk memprediksi token mendatang dan mendukung resep decoding spekulatif bawaan NVIDIA.</p><p>Model ini menerima teks dan mengembalikan teks, termasuk penjelasan, draf respons, kode, dan permintaan panggilan alat dalam aplikasi yang sesuai dan terhubung dengan alat. Penggunaan yang dimaksud mencakup agen, chatbot, retrieval-augmented generation, kepatuhan pada instruksi kompleks, dan penalaran berkonteks panjang. Prompt yang berguna menentukan artefak yang diinginkan serta kondisi yang mengaturnya. Misalnya: “Klasifikasikan insiden ini menggunakan kebijakan yang diberikan, jelaskan prioritas berdasarkan bukti, susun balasan, dan daftarkan fakta yang belum tersedia yang diperlukan sebelum merekomendasikan perbaikan.”</p><p>Untuk pemrosesan tiket TI, berikan teks tiket, riwayat yang relevan, detail lingkungan, serta aturan perutean atau eskalasi yang berlaku. Mintalah kolom terpisah untuk gejala yang diamati, kemungkinan penyebab, usulan pemeriksaan, dan balasan kepada pengguna. Perbedaan ini mencegah hipotesis dicatat sebagai diagnosis yang terkonfirmasi. Jika alat diagnostik dijalankan, masukkan hasil aktualnya ke percakapan sebelum meminta langkah berikutnya. Ringkasan tiket yang selesai harus menyebutkan apa yang diamati dan diselesaikan, serta pertanyaan yang masih terbuka.</p><p>Untuk pekerjaan RAG dan basis pengetahuan, beri label bagian yang diambil dan nyatakan apakah model harus menjawab hanya berdasarkan bagian tersebut. Mintalah jawaban dengan rujukan sumber pendukung serta setiap pertentangan antar bahan. Contoh praktis adalah: “Bandingkan bagian runbook ini, identifikasi langkah yang berlaku untuk lingkungan yang diberikan, dan kembalikan prosedur berurutan dengan pemeriksaan setelah setiap langkah penting.” Pertahankan versi dan kondisi dari sumber; prosedur yang jelas tetap dapat salah jika menggabungkan instruksi untuk lingkungan yang tidak kompatibel.</p><p>Untuk tugas agen kolaboratif, berikan tujuan yang jelas pada setiap tahap dan pertahankan hasil antara yang berguna. Super ditujukan untuk menalar pengamatan alat dan mempertahankan percakapan dengan beberapa langkah. Aplikasi yang menaunginya menjalankan alat dan menyimpan status tugas. Mintalah model menjelaskan apa yang diubah oleh pengamatan baru, mempertahankan temuan sebelumnya yang masih berlaku, serta membedakan tindakan yang diusulkan dari hasil yang tercatat. Untuk pemrograman, berikan berkas yang relevan dan perilaku yang diharapkan, lalu mintalah kode yang direvisi, penjelasan perubahan, dan kasus yang diperlukan untuk memverifikasinya.</p><p>NVIDIA mendokumentasikan proses berpikir yang diaktifkan secara bawaan serta mode jawaban langsung dengan proses berpikir dinonaktifkan melalui templat percakapan. Super juga memiliki opsi penalaran berupaya rendah, yang menggunakan lebih sedikit token penalaran daripada proses berpikir penuh dan disarankan sebagai titik awal sebelum penyetelan anggaran secara eksplisit. Ini merupakan pengaturan Super; opsi upaya sedang Ultra yang terpisah tidak boleh disalin ke dalamnya. Pilih bentuk respons akhir dan sisakan ruang bagi respons tersebut setelah penalaran, terutama ketika hasil alat atau perbandingan sumber yang kompleks memerlukan penjelasan.</p><p>Model ini mendukung konteks hingga 1M token, sedangkan konfigurasi Hugging Face pembuatnya menggunakan nilai bawaan 256K karena konteks yang lebih panjang memerlukan lebih banyak memori. Untuk masukan panjang, bekerjalah dalam konfigurasi yang berlaku, pertahankan batas dokumen dan label sumber, serta sisakan ruang respons. Mintalah hubungan yang perlu ditelusuri di seluruh bahan, bukan ringkasan tanpa arah atas semuanya. Maksimum tingkat model bukan janji bahwa setiap konfigurasi layanan menggunakan jendela yang sama.</p><p>Pembuatnya mencantumkan bahasa Inggris, Prancis, Jerman, Italia, Jepang, Spanyol, dan Tionghoa. Tentukan bahasa akhir sambil mempertahankan pengenal kode dan istilah sumber yang harus tetap persis. Untuk pekerjaan dukungan multibahasa, mintalah model mempertahankan makna teknis dan kriteria eskalasi sambil menyesuaikan kata-kata bagi pembaca. Tinjau istilah yang tidak dikenal atau masukan yang ambigu, alih-alih memperlakukan kelancaran bahasa sebagai bukti bahwa interpretasinya benar.</p><p>Keluaran akhir yang berguna bersifat ringkas dan dapat diperiksa: jawaban atau artefak yang direvisi, pengamatan pendukung, asumsi, serta pekerjaan yang tersisa. Untuk prosedur yang dihasilkan, periksa langkah pemeriksaan terhadap lingkungan aktual. Untuk kode, bandingkan perubahan usulan dengan perilaku yang diamati. Untuk jawaban berbasis sumber, pastikan bahwa bagian yang dikutip mendukung pernyataan. Pelatihan penalaran dan agen Super membantu mengatur pekerjaan ini; hasil aktual dibuktikan oleh bahan dan catatan eksekusi yang digunakan untuk memeriksanya.</p></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 · Anthropic Messages</b> <code>POST /v1/messages</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>Konteks</dt><dd>262.144 tokens</dd></div><div><dt>Keluaran maksimum</dt><dd>235.929 tokens</dd></div><div><dt>Format keluaran</dt><dd>JSON</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><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>nvidia/nemotron-3-super-120b-a12b:free</div></td><td data-cell-label=\"Bawaan\" data-default=\"unspecified\"><span class=\"card-cell-label\">Bawaan</span>—</td></tr><tr><th data-cell-label=\"Kolom\" scope=\"row\"><span class=\"card-cell-label\">Kolom</span><code class=\"card-field-name\">messages</code></th><td data-cell-label=\"Jenis\" data-field-type><span class=\"card-cell-label\">Jenis</span><code>array</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><th data-cell-label=\"Kolom\" scope=\"row\"><span class=\"card-cell-label\">Kolom</span><code class=\"card-field-name\">stream</code></th><td data-cell-label=\"Jenis\" data-field-type><span class=\"card-cell-label\">Jenis</span><code>boolean</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</div></td><td data-cell-label=\"Bawaan\" data-default=\"known\"><span class=\"card-cell-label\">Bawaan</span>false</td></tr><tr><th data-cell-label=\"Kolom\" scope=\"row\"><span class=\"card-cell-label\">Kolom</span><code class=\"card-field-name\">system</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></td><td data-cell-label=\"Bawaan\" data-default=\"unspecified\"><span class=\"card-cell-label\">Bawaan</span>—</td></tr><tr><th data-cell-label=\"Kolom\" scope=\"row\"><span class=\"card-cell-label\">Kolom</span><code class=\"card-field-name\">max_tokens</code></th><td data-cell-label=\"Jenis\" data-field-type><span class=\"card-cell-label\">Jenis</span><code>integer</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>Minimum: 1</div><div>Maksimum: 235.929</div></td><td data-cell-label=\"Bawaan\" data-default=\"unspecified\"><span class=\"card-cell-label\">Bawaan</span>—</td></tr><tr><th data-cell-label=\"Kolom\" scope=\"row\"><span class=\"card-cell-label\">Kolom</span><code class=\"card-field-name\">temperature</code></th><td data-cell-label=\"Jenis\" data-field-type><span class=\"card-cell-label\">Jenis</span><code>number</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><th data-cell-label=\"Kolom\" scope=\"row\"><span class=\"card-cell-label\">Kolom</span><code class=\"card-field-name\">top_p</code></th><td data-cell-label=\"Jenis\" data-field-type><span class=\"card-cell-label\">Jenis</span><code>number</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><th data-cell-label=\"Kolom\" scope=\"row\"><span class=\"card-cell-label\">Kolom</span><code class=\"card-field-name\">top_k</code></th><td data-cell-label=\"Jenis\" data-field-type><span class=\"card-cell-label\">Jenis</span><code>integer</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><th data-cell-label=\"Kolom\" scope=\"row\"><span class=\"card-cell-label\">Kolom</span><code class=\"card-field-name\">stop_sequences</code></th><td data-cell-label=\"Jenis\" data-field-type><span class=\"card-cell-label\">Jenis</span><code>array</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><th data-cell-label=\"Kolom\" scope=\"row\"><span class=\"card-cell-label\">Kolom</span><code class=\"card-field-name\">metadata</code></th><td data-cell-label=\"Jenis\" data-field-type><span class=\"card-cell-label\">Jenis</span><code>object</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></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>model, messages, max_tokens</td></tr><tr><th data-cell-label=\"Parameter\" scope=\"row\"><span class=\"card-cell-label\">Parameter</span><code>optional</code></th><td data-cell-label=\"Kontrak\"><span class=\"card-cell-label\">Kontrak</span>stream, system, temperature, top_p, top_k, stop_sequences, metadata</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>conditions</code></th><td data-cell-label=\"Kontrak\"><span class=\"card-cell-label\">Kontrak</span>Use literal text messages only. Cache controls, tools, image/audio/video content and streamed responses are unavailable for this method., The complete encoded JSON request must not exceed 262144 bytes.</td></tr></tbody></table></div><p>Siklus hidup: <code>synchronous_json</code></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>Tarif standar <span class=\"note-s\">Saat mode fast dipilih</span></dd><dt>Mode Flex</dt><dd>Tarif standar <span class=\"note-s\">Saat mode flex dipilih</span></dd><dt>Upaya penalaran maksimum</dt><dd>Tarif standar <span class=\"note-s\">Saat upaya penalaran maksimum menggunakan penyesuaian default</span></dd><dt>Tarif nol khusus teks</dt><dd>Text input and output only. Cache, tools, media and streaming are unavailable. <span class=\"note-s\">Untuk masukan dan keluaran yang hanya berupa teks</span></dd></dl></div><div data-declared-tariff-pricing><h4>Tarif Ailoot</h4><h4>Harga menurut konfigurasi</h4><div class=\"tw\" data-pricing-profiles><table><thead><tr><th>Konfigurasi</th><th>Jadwal tarif</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=\"Biaya\"><span class=\"card-cell-label\">Biaya</span><div><span>Masukan · Token masukan</span> <b>$0</b> <span class=\"price-unit\">/ 1K token</span></div><div><span>Keluaran · Token keluaran</span> <b>$0</b> <span class=\"price-unit\">/ 1K token</span></div><div><span>Masukan · Pembacaan cache</span> <b>—</b> <span class=\"price-unit\">/ 1K token</span></div><div><span>Masukan · Penulisan cache</span> <b>—</b> <span class=\"price-unit\">/ 1K token</span></div><div><span>Masukan · Penulisan cache, 1 jam</span> <b>—</b> <span class=\"price-unit\">/ 1K token</span></div></td></tr></tbody></table></div></div><p class=\"note-s\">Ailoot mencadangkan perkiraan dana sebelum permintaan. Setelah hasil diterima, tagihan akhir diselesaikan berdasarkan penggunaan yang terukur. Penyelesaian tagihan streaming menggunakan catatan penggunaan akhir. <a href=\"/docs/id/billing/reserve/\">Cara kerja cadangan dan penyelesaian tagihan →</a></p></section><section class=\"card-section\" data-card-section=\"examples\"><h3 tabindex=\"-1\">Contoh permintaan</h3><h4>Ailoot Ultra · Anthropic Messages</h4><div class=\"code-group\"><div class=\"cg-bar\"><div class=\"cg-tabs\" role=\"tablist\" aria-label=\"Pilihan kode\"><button class=\"cg-tab\" id=\"model-code-51-tab-0\" role=\"tab\" type=\"button\" aria-controls=\"model-code-51-panel-0\" aria-selected=\"true\" tabindex=\"0\">curl · buat sekali dan simpan hasil secara lengkap</button></div><div class=\"cg-tools\"><button class=\"cg-btn cg-copy\" type=\"button\" aria-label=\"Salin kode\"><svg class=\"cp\" viewBox=\"0 0 16 16\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.4\"><rect x=\"5.25\" y=\"5.25\" width=\"8.5\" height=\"8.5\" rx=\"1.75\"/><path d=\"M10.75 5.25V3.5a1.25 1.25 0 0 0-1.25-1.25H3.5A1.25 1.25 0 0 0 2.25 3.5v6a1.25 1.25 0 0 0 1.25 1.25h1.75\"/></svg><svg class=\"ok\" viewBox=\"0 0 16 16\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.4\"><path d=\"m3 8.5 3.25 3.25L13 5\"/></svg></button></div></div><div class=\"cg-body\"><div class=\"cg-pane\" id=\"model-code-51-panel-0\" role=\"tabpanel\" aria-labelledby=\"model-code-51-tab-0\"><pre data-lang=\"bash\"><code>set -eu\n: &quot;${AILOOT_API_KEY:?Set your Ailoot API key}&quot;\nexport AILOOT_API_KEY\npython3 - &lt;&lt;&#39;PY_REQUEST&#39;\nimport json,os\nfrom pathlib import Path\np=json.loads(&#39;{&quot;model&quot;: &quot;nvidia/nemotron-3-super-120b-a12b:free&quot;, &quot;messages&quot;: [{&quot;role&quot;: &quot;user&quot;, &quot;content&quot;: &quot;Summarize the supplied text in three concise points.&quot;}], &quot;stream&quot;: false, &quot;max_tokens&quot;: 256}&#39;)\n\nPath(&quot;request.json&quot;).write_text(json.dumps(p,ensure_ascii=False))\nPY_REQUEST\ncurl --fail-with-body --silent --show-error https://api.ailoot.ai/v1/messages \\\n  -H &quot;Authorization: Bearer $AILOOT_API_KEY&quot; -H &#39;Content-Type: application/json&#39; \\\n  --data-binary @request.json -D response-headers.txt -o result.json\n# Submit once. Retain the complete result, original identifiers and every response header.\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 · Anthropic Messages</h4><p class=\"note-s\">JSON</p><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\">Retain the complete response, all actual results, original identifiers, usage and response headers.</p></div><div class=\"card-result-process\" data-unknown-recovery><h5>Jika respons asli perlu diperiksa</h5><p class=\"note-s\">Preserve the original response, headers and X-Client-Request-ID. An uncertain outcome does not authorize another creation.</p></div></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=nvidia%2Fnemotron-3-super-120b-a12b%3Afree&amp;route=Ultra&amp;caller=nvidia%2Fnemotron-3-super-120b-a12b%3Afree&amp;fmt=messages\"><code>nvidia/nemotron-3-super-120b-a12b:free</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=nvidia%2Fnemotron-3-super-120b-a12b%3Afree&amp;route=Ultra&amp;caller=nvidia%2Fnemotron-3-super-120b-a12b%3Afree&amp;fmt=messages\"><code>nvidia/nemotron-3-super-120b-a12b:free</code></a></p></section></div>",
      "method_identity": {
        "effective_request_model_id": "nvidia/nemotron-3-super-120b-a12b:free",
        "fmt": "messages",
        "http": "POST",
        "path": "/v1/messages",
        "request_model_id": "nvidia/nemotron-3-super-120b-a12b:free",
        "route_label": "Ultra"
      },
      "method_key": "Ultra|messages|/v1/messages|nvidia%2Fnemotron-3-super-120b-a12b%3Afree",
      "ordinal": 1,
      "rawMethod": {
        "available": null,
        "cache_read": null,
        "cache_write": null,
        "cache_write_1h": null,
        "contract": {
          "data": {
            "all_results": "Retain the complete response, all actual results, original identifiers, usage and response headers.",
            "authentication": {
              "api_key_source": "AILOOT_API_KEY",
              "header": "Authorization: Bearer"
            },
            "example_body": {
              "max_tokens": 256,
              "messages": [
                {
                  "content": "Summarize the supplied text in three concise points.",
                  "role": "user"
                }
              ],
              "model": "nvidia/nemotron-3-super-120b-a12b:free",
              "stream": false
            },
            "lifecycle": {
              "cancel_endpoint": null,
              "create": {
                "http": "POST",
                "path": "/v1/messages"
              },
              "mode": "synchronous_json",
              "status": [],
              "unknown": "Preserve the original response, headers and X-Client-Request-ID. An uncertain outcome does not authorize another creation.",
              "unknown_no_replay": true
            },
            "outputs": {
              "all_results": "Retain the complete response, all actual results, original identifiers, usage and response headers.",
              "family": "text",
              "format": "JSON"
            },
            "parameters": [
              {
                "default_known": false,
                "enum": [
                  "nvidia/nemotron-3-super-120b-a12b:free"
                ],
                "enum_known": true,
                "name": "model",
                "required": true,
                "type": "string"
              },
              {
                "default_known": false,
                "enum_known": false,
                "items": {
                  "additionalProperties": false,
                  "properties": {
                    "content": {
                      "type": "string"
                    },
                    "role": {
                      "enum": [
                        "user",
                        "assistant"
                      ],
                      "type": "string"
                    }
                  },
                  "required": [
                    "role",
                    "content"
                  ],
                  "type": "object"
                },
                "minItems": 1,
                "name": "messages",
                "required": true,
                "type": "array"
              },
              {
                "default": false,
                "default_known": true,
                "enum": [
                  false
                ],
                "enum_known": true,
                "name": "stream",
                "required": false,
                "type": "boolean"
              },
              {
                "default_known": false,
                "enum_known": false,
                "name": "system",
                "required": false,
                "type": "string"
              },
              {
                "default_known": false,
                "enum_known": false,
                "maximum": 235929,
                "minimum": 1,
                "name": "max_tokens",
                "required": true,
                "type": "integer"
              },
              {
                "default_known": false,
                "enum_known": false,
                "name": "temperature",
                "required": false,
                "type": "number"
              },
              {
                "default_known": false,
                "enum_known": false,
                "name": "top_p",
                "required": false,
                "type": "number"
              },
              {
                "default_known": false,
                "enum_known": false,
                "name": "top_k",
                "required": false,
                "type": "integer"
              },
              {
                "default_known": false,
                "enum_known": false,
                "items": {
                  "type": "string"
                },
                "name": "stop_sequences",
                "required": false,
                "type": "array"
              },
              {
                "default_known": false,
                "enum_known": false,
                "name": "metadata",
                "required": false,
                "type": "object"
              }
            ],
            "request_schema": {
              "additionalProperties": false,
              "properties": {
                "max_tokens": {
                  "maximum": 235929,
                  "minimum": 1,
                  "type": "integer"
                },
                "messages": {
                  "items": {
                    "additionalProperties": false,
                    "properties": {
                      "content": {
                        "type": "string"
                      },
                      "role": {
                        "enum": [
                          "user",
                          "assistant"
                        ],
                        "type": "string"
                      }
                    },
                    "required": [
                      "role",
                      "content"
                    ],
                    "type": "object"
                  },
                  "minItems": 1,
                  "type": "array"
                },
                "metadata": {
                  "type": "object"
                },
                "model": {
                  "enum": [
                    "nvidia/nemotron-3-super-120b-a12b:free"
                  ],
                  "type": "string"
                },
                "stop_sequences": {
                  "items": {
                    "type": "string"
                  },
                  "type": "array"
                },
                "stream": {
                  "default": false,
                  "enum": [
                    false
                  ],
                  "type": "boolean"
                },
                "system": {
                  "type": "string"
                },
                "temperature": {
                  "type": "number"
                },
                "top_k": {
                  "type": "integer"
                },
                "top_p": {
                  "type": "number"
                }
              },
              "required": [
                "model",
                "messages",
                "max_tokens"
              ],
              "type": "object"
            },
            "schema_template": {
              "body": {
                "max_tokens": 256,
                "messages": [
                  {
                    "content": "Summarize the supplied text in three concise points.",
                    "role": "user"
                  }
                ],
                "model": "nvidia/nemotron-3-super-120b-a12b:free",
                "stream": false
              },
              "content_type": "application/json"
            }
          },
          "input": {
            "conditions": [
              "Use literal text messages only. Cache controls, tools, image/audio/video content and streamed responses are unavailable for this method.",
              "The complete encoded JSON request must not exceed 262144 bytes."
            ],
            "content_type": "application/json",
            "material_types": [
              "text"
            ],
            "optional": [
              "stream",
              "system",
              "temperature",
              "top_p",
              "top_k",
              "stop_sequences",
              "metadata"
            ],
            "required": [
              "model",
              "messages",
              "max_tokens"
            ]
          },
          "lifecycle": {
            "cancel_endpoint": null,
            "create": {
              "http": "POST",
              "path": "/v1/messages"
            },
            "mode": "synchronous_json",
            "status": [],
            "unknown": "Preserve the original response, headers and X-Client-Request-ID. An uncertain outcome does not authorize another creation.",
            "unknown_no_replay": true
          },
          "method": {
            "http": "POST",
            "path": "/v1/messages"
          },
          "method_aliases": [],
          "output": {
            "all_results": "Retain the complete response, all actual results, original identifiers, usage and response headers.",
            "family": "text",
            "format": "JSON"
          }
        },
        "ctx": 262144,
        "declared_pricing_profiles": [
          {
            "dimensions": {
              "regime": "base"
            },
            "label": "Base token rates",
            "units": [
              {
                "amount": "0",
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "input_price",
                "label": "Input tokens",
                "native_amount_usd_per_unit": "0",
                "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",
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "output_price",
                "label": "Output tokens",
                "native_amount_usd_per_unit": "0",
                "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": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "cache_read_price",
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                "rate_role": "typed_native_retail_rate",
                "side": "in",
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        ],
        "examples": [
          {
            "code": "set -eu\n: \"${AILOOT_API_KEY:?Set your Ailoot API key}\"\nexport AILOOT_API_KEY\npython3 - <<'PY_REQUEST'\nimport json,os\nfrom pathlib import Path\np=json.loads('{\"model\": \"nvidia/nemotron-3-super-120b-a12b:free\", \"messages\": [{\"role\": \"user\", \"content\": \"Summarize the supplied text in three concise points.\"}], \"stream\": false, \"max_tokens\": 256}')\n\nPath(\"request.json\").write_text(json.dumps(p,ensure_ascii=False))\nPY_REQUEST\ncurl --fail-with-body --silent --show-error https://api.ailoot.ai/v1/messages \\\n  -H \"Authorization: Bearer $AILOOT_API_KEY\" -H 'Content-Type: application/json' \\\n  --data-binary @request.json -D response-headers.txt -o result.json\n# Submit once. Retain the complete result, original identifiers and every response header.\n",
            "label": "curl · create once and retain the complete result",
            "language": "bash"
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        "family": "anthropic",
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        "fmt": "messages",
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            "amount_unit": "usd_per_thousand_tokens",
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  "nativeProvenance": {
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  "page": {
    "canonical": "https://ailoot.ai/models/id/nvidia-nemotron-3-super-120b-a12b-u003a-free/",
    "description": "NVIDIA Nemotron 3 Super adalah model penalaran teks dan percakapan dengan total 120B parameter dan 12B parameter aktif. Model ini dirancang untuk agen kolaboratif, tugas bervolume tinggi seperti pemrosesan tiket TI, penggunaan alat, dan RAG, dengan mode berpikir, jawaban langsung, serta penalaran berupaya rendah yang didokumentasikan NVIDIA.",
    "locale": "id",
    "md_url": "https://ailoot.ai/models/id/nvidia-nemotron-3-super-120b-a12b-u003a-free/index.md",
    "title": "NVIDIA: Nemotron 3 Super (free) — Ailoot",
    "url": "https://ailoot.ai/models/id/nvidia-nemotron-3-super-120b-a12b-u003a-free/"
  },
  "rawModel": {
    "about": "NVIDIA Nemotron 3 Super adalah model penalaran dan percakapan serbaguna yang dirancang untuk agen kolaboratif serta alur kerja bervolume tinggi, termasuk otomatisasi tiket TI. Model ini memiliki total 120B parameter dan mengaktifkan 12B. Arsitektur hibridanya menggabungkan lapisan Mamba-2, perhatian, dan Latent Mixture-of-Experts. Lapisan Multi-Token Prediction menambahkan mekanisme untuk memprediksi token mendatang dan mendukung resep decoding spekulatif bawaan NVIDIA.\n\nModel ini menerima teks dan mengembalikan teks, termasuk penjelasan, draf respons, kode, dan permintaan panggilan alat dalam aplikasi yang sesuai dan terhubung dengan alat. Penggunaan yang dimaksud mencakup agen, chatbot, retrieval-augmented generation, kepatuhan pada instruksi kompleks, dan penalaran berkonteks panjang. Prompt yang berguna menentukan artefak yang diinginkan serta kondisi yang mengaturnya. Misalnya: “Klasifikasikan insiden ini menggunakan kebijakan yang diberikan, jelaskan prioritas berdasarkan bukti, susun balasan, dan daftarkan fakta yang belum tersedia yang diperlukan sebelum merekomendasikan perbaikan.”\n\nUntuk pemrosesan tiket TI, berikan teks tiket, riwayat yang relevan, detail lingkungan, serta aturan perutean atau eskalasi yang berlaku. Mintalah kolom terpisah untuk gejala yang diamati, kemungkinan penyebab, usulan pemeriksaan, dan balasan kepada pengguna. Perbedaan ini mencegah hipotesis dicatat sebagai diagnosis yang terkonfirmasi. Jika alat diagnostik dijalankan, masukkan hasil aktualnya ke percakapan sebelum meminta langkah berikutnya. Ringkasan tiket yang selesai harus menyebutkan apa yang diamati dan diselesaikan, serta pertanyaan yang masih terbuka.\n\nUntuk pekerjaan RAG dan basis pengetahuan, beri label bagian yang diambil dan nyatakan apakah model harus menjawab hanya berdasarkan bagian tersebut. Mintalah jawaban dengan rujukan sumber pendukung serta setiap pertentangan antar bahan. Contoh praktis adalah: “Bandingkan bagian runbook ini, identifikasi langkah yang berlaku untuk lingkungan yang diberikan, dan kembalikan prosedur berurutan dengan pemeriksaan setelah setiap langkah penting.” Pertahankan versi dan kondisi dari sumber; prosedur yang jelas tetap dapat salah jika menggabungkan instruksi untuk lingkungan yang tidak kompatibel.\n\nUntuk tugas agen kolaboratif, berikan tujuan yang jelas pada setiap tahap dan pertahankan hasil antara yang berguna. Super ditujukan untuk menalar pengamatan alat dan mempertahankan percakapan dengan beberapa langkah. Aplikasi yang menaunginya menjalankan alat dan menyimpan status tugas. Mintalah model menjelaskan apa yang diubah oleh pengamatan baru, mempertahankan temuan sebelumnya yang masih berlaku, serta membedakan tindakan yang diusulkan dari hasil yang tercatat. Untuk pemrograman, berikan berkas yang relevan dan perilaku yang diharapkan, lalu mintalah kode yang direvisi, penjelasan perubahan, dan kasus yang diperlukan untuk memverifikasinya.\n\nNVIDIA mendokumentasikan proses berpikir yang diaktifkan secara bawaan serta mode jawaban langsung dengan proses berpikir dinonaktifkan melalui templat percakapan. Super juga memiliki opsi penalaran berupaya rendah, yang menggunakan lebih sedikit token penalaran daripada proses berpikir penuh dan disarankan sebagai titik awal sebelum penyetelan anggaran secara eksplisit. Ini merupakan pengaturan Super; opsi upaya sedang Ultra yang terpisah tidak boleh disalin ke dalamnya. Pilih bentuk respons akhir dan sisakan ruang bagi respons tersebut setelah penalaran, terutama ketika hasil alat atau perbandingan sumber yang kompleks memerlukan penjelasan.\n\nModel ini mendukung konteks hingga 1M token, sedangkan konfigurasi Hugging Face pembuatnya menggunakan nilai bawaan 256K karena konteks yang lebih panjang memerlukan lebih banyak memori. Untuk masukan panjang, bekerjalah dalam konfigurasi yang berlaku, pertahankan batas dokumen dan label sumber, serta sisakan ruang respons. Mintalah hubungan yang perlu ditelusuri di seluruh bahan, bukan ringkasan tanpa arah atas semuanya. Maksimum tingkat model bukan janji bahwa setiap konfigurasi layanan menggunakan jendela yang sama.\n\nPembuatnya mencantumkan bahasa Inggris, Prancis, Jerman, Italia, Jepang, Spanyol, dan Tionghoa. Tentukan bahasa akhir sambil mempertahankan pengenal kode dan istilah sumber yang harus tetap persis. Untuk pekerjaan dukungan multibahasa, mintalah model mempertahankan makna teknis dan kriteria eskalasi sambil menyesuaikan kata-kata bagi pembaca. Tinjau istilah yang tidak dikenal atau masukan yang ambigu, alih-alih memperlakukan kelancaran bahasa sebagai bukti bahwa interpretasinya benar.\n\nKeluaran akhir yang berguna bersifat ringkas dan dapat diperiksa: jawaban atau artefak yang direvisi, pengamatan pendukung, asumsi, serta pekerjaan yang tersisa. Untuk prosedur yang dihasilkan, periksa langkah pemeriksaan terhadap lingkungan aktual. Untuk kode, bandingkan perubahan usulan dengan perilaku yang diamati. Untuk jawaban berbasis sumber, pastikan bahwa bagian yang dikutip mendukung pernyataan. Pelatihan penalaran dan agen Super membantu mengatur pekerjaan ini; hasil aktual dibuktikan oleh bahan dan catatan eksekusi yang digunakan untuk memeriksanya.",
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            "rate_role": "typed_native_retail_rate",
            "side": "out",
            "unit": "output_token"
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        ],
        "summary": "Informasi lengkap harga konfigurasi tersedia di bagian detail."
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              "unknown_no_replay": true
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            "outputs": {
              "all_results": "Retain the complete response, all actual results, original identifiers, usage and response headers.",
              "family": "text",
              "format": "JSON"
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                  "maximum": 235929,
                  "minimum": 1,
                  "type": "integer"
                },
                "max_tokens": {
                  "maximum": 235929,
                  "minimum": 1,
                  "type": "integer"
                },
                "messages": {
                  "items": {
                    "additionalProperties": false,
                    "properties": {
                      "content": {
                        "type": "string"
                      },
                      "role": {
                        "enum": [
                          "user",
                          "assistant",
                          "system",
                          "developer"
                        ],
                        "type": "string"
                      }
                    },
                    "required": [
                      "role",
                      "content"
                    ],
                    "type": "object"
                  },
                  "minItems": 1,
                  "type": "array"
                },
                "model": {
                  "enum": [
                    "nvidia/nemotron-3-super-120b-a12b:free"
                  ],
                  "type": "string"
                },
                "n": {
                  "maximum": 128,
                  "minimum": 1,
                  "type": "integer"
                },
                "presence_penalty": {
                  "type": "number"
                },
                "seed": {
                  "type": "integer"
                },
                "stop": {
                  "oneOf": [
                    {
                      "type": "string"
                    },
                    {
                      "items": {
                        "type": "string"
                      },
                      "type": "array"
                    }
                  ]
                },
                "stream": {
                  "default": false,
                  "enum": [
                    false
                  ],
                  "type": "boolean"
                },
                "temperature": {
                  "type": "number"
                },
                "top_p": {
                  "type": "number"
                },
                "user": {
                  "type": "string"
                }
              },
              "required": [
                "model",
                "messages"
              ],
              "type": "object"
            },
            "schema_template": {
              "body": {
                "messages": [
                  {
                    "content": "Summarize the supplied text in three concise points.",
                    "role": "user"
                  }
                ],
                "model": "nvidia/nemotron-3-super-120b-a12b:free",
                "stream": false
              },
              "content_type": "application/json"
            }
          },
          "input": {
            "conditions": [
              "Use literal text messages only. Cache controls, tools, image/audio/video content and streamed responses are unavailable for this method.",
              "The complete encoded JSON request must not exceed 262144 bytes."
            ],
            "content_type": "application/json",
            "material_types": [
              "text"
            ],
            "optional": [
              "stream",
              "max_tokens",
              "max_completion_tokens",
              "n",
              "temperature",
              "top_p",
              "seed",
              "stop",
              "frequency_penalty",
              "presence_penalty",
              "user"
            ],
            "required": [
              "model",
              "messages"
            ]
          },
          "lifecycle": {
            "cancel_endpoint": null,
            "create": {
              "http": "POST",
              "path": "/v1/chat/completions"
            },
            "mode": "synchronous_json",
            "status": [],
            "unknown": "Preserve the original response, headers and X-Client-Request-ID. An uncertain outcome does not authorize another creation.",
            "unknown_no_replay": true
          },
          "method": {
            "http": "POST",
            "path": "/v1/chat/completions"
          },
          "method_aliases": [],
          "output": {
            "all_results": "Retain the complete response, all actual results, original identifiers, usage and response headers.",
            "family": "text",
            "format": "JSON"
          }
        },
        "ctx": 262144,
        "declared_pricing_profiles": [
          {
            "dimensions": {
              "regime": "base"
            },
            "label": "Base token rates",
            "units": [
              {
                "amount": "0",
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "input_price",
                "label": "Input tokens",
                "native_amount_usd_per_unit": "0",
                "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",
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "output_price",
                "label": "Output tokens",
                "native_amount_usd_per_unit": "0",
                "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": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "cache_read_price",
                "label": "Cache read",
                "native_amount_usd_per_unit": null,
                "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": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "cache_write_price",
                "label": "Cache write",
                "native_amount_usd_per_unit": null,
                "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}\"\nexport AILOOT_API_KEY\npython3 - <<'PY_REQUEST'\nimport json,os\nfrom pathlib import Path\np=json.loads('{\"model\": \"nvidia/nemotron-3-super-120b-a12b:free\", \"messages\": [{\"role\": \"user\", \"content\": \"Summarize the supplied text in three concise points.\"}], \"stream\": false}')\n\nPath(\"request.json\").write_text(json.dumps(p,ensure_ascii=False))\nPY_REQUEST\ncurl --fail-with-body --silent --show-error https://api.ailoot.ai/v1/chat/completions \\\n  -H \"Authorization: Bearer $AILOOT_API_KEY\" -H 'Content-Type: application/json' \\\n  --data-binary @request.json -D response-headers.txt -o result.json\n# Submit once. Retain the complete result, original identifiers and every response header.\n",
            "label": "curl · create once and retain the complete result",
            "language": "bash"
          }
        ],
        "family": "openai",
        "fast_multiplier": 1,
        "flex_multiplier": 1,
        "fmt": "chat",
        "hints": [
          "Send exact model ID with messages.",
          "Context length is not an output cap.",
          "A text file may supply literal text; image/audio/file-object inputs need exact binding."
        ],
        "http": "POST",
        "img_in": null,
        "img_out": null,
        "in": 0,
        "input": [
          "text"
        ],
        "label": "OpenAI Chat",
        "max_out": 235929,
        "max_reasoning_effort_multiplier": 1,
        "method_aliases": [],
        "out": 0,
        "output": [
          "text"
        ],
        "path": "/v1/chat/completions",
        "price_conditions": [
          {
            "label": "Fast mode",
            "value": "Standard rate",
            "when": "When fast mode is selected"
          },
          {
            "label": "Flex mode",
            "value": "Standard rate",
            "when": "When flex mode is selected"
          },
          {
            "label": "Maximum reasoning effort",
            "value": "Standard rate",
            "when": "When maximum reasoning effort uses the default adjustment"
          },
          {
            "label": "Explicit cache pricing",
            "value": "Not enabled",
            "when": "When explicit cache is requested"
          },
          {
            "label": "Text-only zero rates",
            "value": "Text input and output only. Cache, tools, media and streaming are unavailable.",
            "when": "For text-only input and output"
          }
        ],
        "pricing": {
          "allow_explicit_cache": false,
          "billing_mode": "token",
          "cache_read_price": null,
          "cache_write_1h_price": null,
          "cache_write_price": null,
          "fast_multiplier": 1,
          "flex_multiplier": 1,
          "image_input_price": null,
          "image_output_price": null,
          "input_price": 0,
          "intervals": [],
          "max_reasoning_effort_multiplier": 1,
          "output_price": 0,
          "per_request_price": null
        },
        "pricing_profiles": [
          {
            "dimensions": {
              "regime": "base"
            },
            "label": "Base token rates",
            "units": [
              {
                "amount": "0",
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "input_price",
                "label": "Input tokens",
                "native_amount_usd_per_unit": "0",
                "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",
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "output_price",
                "label": "Output tokens",
                "native_amount_usd_per_unit": "0",
                "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": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "cache_read_price",
                "label": "Cache read",
                "native_amount_usd_per_unit": null,
                "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": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "cache_write_price",
                "label": "Cache write",
                "native_amount_usd_per_unit": null,
                "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": "nvidia/nemotron-3-super-120b-a12b:free",
        "route_label": "Ultra",
        "status_reads": [],
        "tiers": [],
        "unit": "token",
        "units": [
          {
            "amount": "0",
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": true,
            "estimate_only": false,
            "key": "input_price",
            "label": "Input tokens",
            "native_amount_usd_per_unit": "0",
            "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",
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": true,
            "estimate_only": false,
            "key": "output_price",
            "label": "Output tokens",
            "native_amount_usd_per_unit": "0",
            "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": null,
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": true,
            "estimate_only": false,
            "key": "cache_read_price",
            "label": "Cache read",
            "native_amount_usd_per_unit": null,
            "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": null,
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": true,
            "estimate_only": false,
            "key": "cache_write_price",
            "label": "Cache write",
            "native_amount_usd_per_unit": null,
            "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"
          }
        ]
      },
      {
        "available": null,
        "cache_read": null,
        "cache_write": null,
        "cache_write_1h": null,
        "contract": {
          "data": {
            "all_results": "Retain the complete response, all actual results, original identifiers, usage and response headers.",
            "authentication": {
              "api_key_source": "AILOOT_API_KEY",
              "header": "Authorization: Bearer"
            },
            "example_body": {
              "max_tokens": 256,
              "messages": [
                {
                  "content": "Summarize the supplied text in three concise points.",
                  "role": "user"
                }
              ],
              "model": "nvidia/nemotron-3-super-120b-a12b:free",
              "stream": false
            },
            "lifecycle": {
              "cancel_endpoint": null,
              "create": {
                "http": "POST",
                "path": "/v1/messages"
              },
              "mode": "synchronous_json",
              "status": [],
              "unknown": "Preserve the original response, headers and X-Client-Request-ID. An uncertain outcome does not authorize another creation.",
              "unknown_no_replay": true
            },
            "outputs": {
              "all_results": "Retain the complete response, all actual results, original identifiers, usage and response headers.",
              "family": "text",
              "format": "JSON"
            },
            "parameters": [
              {
                "default_known": false,
                "enum": [
                  "nvidia/nemotron-3-super-120b-a12b:free"
                ],
                "enum_known": true,
                "name": "model",
                "required": true,
                "type": "string"
              },
              {
                "default_known": false,
                "enum_known": false,
                "items": {
                  "additionalProperties": false,
                  "properties": {
                    "content": {
                      "type": "string"
                    },
                    "role": {
                      "enum": [
                        "user",
                        "assistant"
                      ],
                      "type": "string"
                    }
                  },
                  "required": [
                    "role",
                    "content"
                  ],
                  "type": "object"
                },
                "minItems": 1,
                "name": "messages",
                "required": true,
                "type": "array"
              },
              {
                "default": false,
                "default_known": true,
                "enum": [
                  false
                ],
                "enum_known": true,
                "name": "stream",
                "required": false,
                "type": "boolean"
              },
              {
                "default_known": false,
                "enum_known": false,
                "name": "system",
                "required": false,
                "type": "string"
              },
              {
                "default_known": false,
                "enum_known": false,
                "maximum": 235929,
                "minimum": 1,
                "name": "max_tokens",
                "required": true,
                "type": "integer"
              },
              {
                "default_known": false,
                "enum_known": false,
                "name": "temperature",
                "required": false,
                "type": "number"
              },
              {
                "default_known": false,
                "enum_known": false,
                "name": "top_p",
                "required": false,
                "type": "number"
              },
              {
                "default_known": false,
                "enum_known": false,
                "name": "top_k",
                "required": false,
                "type": "integer"
              },
              {
                "default_known": false,
                "enum_known": false,
                "items": {
                  "type": "string"
                },
                "name": "stop_sequences",
                "required": false,
                "type": "array"
              },
              {
                "default_known": false,
                "enum_known": false,
                "name": "metadata",
                "required": false,
                "type": "object"
              }
            ],
            "request_schema": {
              "additionalProperties": false,
              "properties": {
                "max_tokens": {
                  "maximum": 235929,
                  "minimum": 1,
                  "type": "integer"
                },
                "messages": {
                  "items": {
                    "additionalProperties": false,
                    "properties": {
                      "content": {
                        "type": "string"
                      },
                      "role": {
                        "enum": [
                          "user",
                          "assistant"
                        ],
                        "type": "string"
                      }
                    },
                    "required": [
                      "role",
                      "content"
                    ],
                    "type": "object"
                  },
                  "minItems": 1,
                  "type": "array"
                },
                "metadata": {
                  "type": "object"
                },
                "model": {
                  "enum": [
                    "nvidia/nemotron-3-super-120b-a12b:free"
                  ],
                  "type": "string"
                },
                "stop_sequences": {
                  "items": {
                    "type": "string"
                  },
                  "type": "array"
                },
                "stream": {
                  "default": false,
                  "enum": [
                    false
                  ],
                  "type": "boolean"
                },
                "system": {
                  "type": "string"
                },
                "temperature": {
                  "type": "number"
                },
                "top_k": {
                  "type": "integer"
                },
                "top_p": {
                  "type": "number"
                }
              },
              "required": [
                "model",
                "messages",
                "max_tokens"
              ],
              "type": "object"
            },
            "schema_template": {
              "body": {
                "max_tokens": 256,
                "messages": [
                  {
                    "content": "Summarize the supplied text in three concise points.",
                    "role": "user"
                  }
                ],
                "model": "nvidia/nemotron-3-super-120b-a12b:free",
                "stream": false
              },
              "content_type": "application/json"
            }
          },
          "input": {
            "conditions": [
              "Use literal text messages only. Cache controls, tools, image/audio/video content and streamed responses are unavailable for this method.",
              "The complete encoded JSON request must not exceed 262144 bytes."
            ],
            "content_type": "application/json",
            "material_types": [
              "text"
            ],
            "optional": [
              "stream",
              "system",
              "temperature",
              "top_p",
              "top_k",
              "stop_sequences",
              "metadata"
            ],
            "required": [
              "model",
              "messages",
              "max_tokens"
            ]
          },
          "lifecycle": {
            "cancel_endpoint": null,
            "create": {
              "http": "POST",
              "path": "/v1/messages"
            },
            "mode": "synchronous_json",
            "status": [],
            "unknown": "Preserve the original response, headers and X-Client-Request-ID. An uncertain outcome does not authorize another creation.",
            "unknown_no_replay": true
          },
          "method": {
            "http": "POST",
            "path": "/v1/messages"
          },
          "method_aliases": [],
          "output": {
            "all_results": "Retain the complete response, all actual results, original identifiers, usage and response headers.",
            "family": "text",
            "format": "JSON"
          }
        },
        "ctx": 262144,
        "declared_pricing_profiles": [
          {
            "dimensions": {
              "regime": "base"
            },
            "label": "Base token rates",
            "units": [
              {
                "amount": "0",
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "input_price",
                "label": "Input tokens",
                "native_amount_usd_per_unit": "0",
                "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",
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "output_price",
                "label": "Output tokens",
                "native_amount_usd_per_unit": "0",
                "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": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "cache_read_price",
                "label": "Cache read",
                "native_amount_usd_per_unit": null,
                "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": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "cache_write_price",
                "label": "Cache write",
                "native_amount_usd_per_unit": null,
                "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}\"\nexport AILOOT_API_KEY\npython3 - <<'PY_REQUEST'\nimport json,os\nfrom pathlib import Path\np=json.loads('{\"model\": \"nvidia/nemotron-3-super-120b-a12b:free\", \"messages\": [{\"role\": \"user\", \"content\": \"Summarize the supplied text in three concise points.\"}], \"stream\": false, \"max_tokens\": 256}')\n\nPath(\"request.json\").write_text(json.dumps(p,ensure_ascii=False))\nPY_REQUEST\ncurl --fail-with-body --silent --show-error https://api.ailoot.ai/v1/messages \\\n  -H \"Authorization: Bearer $AILOOT_API_KEY\" -H 'Content-Type: application/json' \\\n  --data-binary @request.json -D response-headers.txt -o result.json\n# Submit once. Retain the complete result, original identifiers and every response header.\n",
            "label": "curl · create once and retain the complete result",
            "language": "bash"
          }
        ],
        "family": "anthropic",
        "fast_multiplier": 1,
        "flex_multiplier": 1,
        "fmt": "messages",
        "http": "POST",
        "img_in": null,
        "img_out": null,
        "in": 0,
        "input": [
          "text"
        ],
        "label": "Anthropic Messages",
        "max_out": 235929,
        "max_reasoning_effort_multiplier": 1,
        "method_aliases": [],
        "out": 0,
        "output": [
          "text"
        ],
        "path": "/v1/messages",
        "price_conditions": [
          {
            "label": "Fast mode",
            "value": "Standard rate",
            "when": "When fast mode is selected"
          },
          {
            "label": "Flex mode",
            "value": "Standard rate",
            "when": "When flex mode is selected"
          },
          {
            "label": "Maximum reasoning effort",
            "value": "Standard rate",
            "when": "When maximum reasoning effort uses the default adjustment"
          },
          {
            "label": "Text-only zero rates",
            "value": "Text input and output only. Cache, tools, media and streaming are unavailable.",
            "when": "For text-only input and output"
          }
        ],
        "pricing": {
          "billing_mode": "token",
          "cache_read_price": null,
          "cache_write_1h_price": null,
          "cache_write_price": null,
          "fast_multiplier": 1,
          "flex_multiplier": 1,
          "image_input_price": null,
          "image_output_price": null,
          "input_price": 0,
          "intervals": [],
          "max_reasoning_effort_multiplier": 1,
          "output_price": 0,
          "per_request_price": null
        },
        "pricing_profiles": [
          {
            "dimensions": {
              "regime": "base"
            },
            "label": "Base token rates",
            "units": [
              {
                "amount": "0",
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "input_price",
                "label": "Input tokens",
                "native_amount_usd_per_unit": "0",
                "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",
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "output_price",
                "label": "Output tokens",
                "native_amount_usd_per_unit": "0",
                "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": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "cache_read_price",
                "label": "Cache read",
                "native_amount_usd_per_unit": null,
                "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": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "cache_write_price",
                "label": "Cache write",
                "native_amount_usd_per_unit": null,
                "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": "nvidia/nemotron-3-super-120b-a12b:free",
        "route_label": "Ultra",
        "status_reads": [],
        "tiers": [],
        "unit": "token",
        "units": [
          {
            "amount": "0",
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": true,
            "estimate_only": false,
            "key": "input_price",
            "label": "Input tokens",
            "native_amount_usd_per_unit": "0",
            "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",
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": true,
            "estimate_only": false,
            "key": "output_price",
            "label": "Output tokens",
            "native_amount_usd_per_unit": "0",
            "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": null,
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": true,
            "estimate_only": false,
            "key": "cache_read_price",
            "label": "Cache read",
            "native_amount_usd_per_unit": null,
            "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": null,
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": true,
            "estimate_only": false,
            "key": "cache_write_price",
            "label": "Cache write",
            "native_amount_usd_per_unit": null,
            "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": "nvidia/nemotron-3-super-120b-a12b:free",
        "request_model_id": "nvidia/nemotron-3-super-120b-a12b:free",
        "route_label": "Ultra"
      }
    ],
    "name": "NVIDIA: Nemotron 3 Super (free)",
    "price": {
      "in": 0,
      "in_label": null,
      "out": 0,
      "out_label": null,
      "scope_label": "Token rates",
      "sort_in": 0,
      "sort_out": 0,
      "varies": true
    },
    "short": "NVIDIA Nemotron 3 Super adalah model penalaran teks dan percakapan dengan total 120B parameter dan 12B parameter aktif. Model ini dirancang untuk agen kolaboratif, tugas bervolume tinggi seperti pemrosesan tiket TI, penggunaan alat, dan RAG, dengan mode berpikir, jawaban langsung, serta penalaran berupaya rendah yang didokumentasikan NVIDIA."
  },
  "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
        },
        {
          "contract_json_pointer": "/methods/1/rawMethod/contract",
          "html_json_pointer": "/methods/1/html",
          "method_ordinal": 1
        }
      ],
      "role": "current-semantic-reference"
    },
    "raw_input": {
      "examples_role": "historical-input-not-current-ready-examples",
      "json_pointers": [
        "/rawModel",
        "/methods/0/rawMethod",
        "/methods/1/rawMethod"
      ],
      "role": "historical-owner-input"
    },
    "schema": "ailoot-native-model-representations-v1"
  },
  "schema": "ailoot-static-model-facts-v1",
  "schema_version": 1,
  "shortText": "NVIDIA Nemotron 3 Super adalah model penalaran teks dan percakapan dengan total 120B parameter dan 12B parameter aktif. Model ini dirancang untuk agen kolaboratif, tugas bervolume tinggi seperti pemrosesan tiket TI, penggunaan alat, dan RAG, dengan mode berpikir, jawaban langsung, serta penalaran berupaya rendah yang didokumentasikan NVIDIA.",
  "source": {
    "audit_sha256": "2e00086bcbfc28e64d0cebe97aa47c17d8d5618963027f8ffb9dc6123d7d25b1",
    "bridge_map_sha256": "1125275768b9636fc8461bc7da5061239a81ddfe508e2557843ca42c58ab0036",
    "raw_model_json_sha256": "93862be6930a2b07a378e02796472cbafac34c1403446626f115ff5448280217",
    "renderer_sha256": "2a0471475a29000c23db326ca1e315df73dee7524f6bc2907818ee3458813f2d"
  },
  "sourceRevision": "42bb5b89159759ae900250fb4076a5801b993554750e271dfeb1f3ca3cede48f"
}