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openai/gpt-4.1-mini:batch ialah entri batch bagi tugasan teks bebas. Kegunaan konkrit ialah mengekstrak set medan sama daripada banyak perbualan sokongan dibekalkan, dengan satu hasil setiap perbualan. Pilih apabila pengumpulan tertunda sesuai aliran kerja dan tidak memerlukan balasan pembantu langsung.

Hantar tatasusunan requests sebaris ke /v1/batches, menggunakan endpoint=/v1/chat/completions serta custom_id unik setiap item. Setiap body mengandungi messages; completion_window menerima 24h. Kaedah menggunakan pengebilan baki dan menolak penciptaan tugas batch dengan pengebilan langganan. Input batch diterima ialah teks dan ia tidak menyediakan aliran muat naik Files/input_file_id. Huraian model Mini lebih luas tidak patut dianggap janji kependaman interaktif laluan batch ini.

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openai/gpt-4.1-mini:batch ialah entri batch bagi tugasan teks bebas. Kegunaan konkrit ialah mengekstrak set medan sama daripada banyak perbualan sokongan dibekalkan, dengan satu hasil setiap perbualan. Pilih apabila pengumpulan tertunda sesuai aliran kerja dan tidak memerlukan balasan pembantu langsung.

Hantar tatasusunan requests sebaris ke /v1/batches, menggunakan endpoint=/v1/chat/completions serta custom_id unik setiap item. Setiap body mengandungi messages; completion_window menerima 24h. Kaedah menggunakan pengebilan baki dan menolak penciptaan tugas batch dengan pengebilan langganan. Input batch diterima ialah teks dan ia tidak menyediakan aliran muat naik Files/input_file_id. Huraian model Mini lebih luas tidak patut dianggap janji kependaman interaktif laluan batch ini.

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O

OpenAI: GPT-4.1 Mini (batch)

OpenAI /openai/gpt-4.1-mini:batch

Pengenalan

Pemprosesan batch permintaan teks bebas, dengan padanan custom_id dan tetingkap penyiapan 24h pilihan.

Input yang diterima
Teks
Hasil
Teks
Tentang model

Huraian ini merangkumi keupayaan model. Input, output dan pilihan yang tersedia di Ailoot disenaraikan di bawah untuk kaedah yang dipilih.

openai/gpt-4.1-mini:batch ialah entri batch bagi tugasan teks bebas. Kegunaan konkrit ialah mengekstrak set medan sama daripada banyak perbualan sokongan dibekalkan, dengan satu hasil setiap perbualan. Pilih apabila pengumpulan tertunda sesuai aliran kerja dan tidak memerlukan balasan pembantu langsung.

Hantar tatasusunan requests sebaris ke /v1/batches, menggunakan endpoint=/v1/chat/completions serta custom_id unik setiap item. Setiap body mengandungi messages; completion_window menerima 24h. Kaedah menggunakan pengebilan baki dan menolak penciptaan tugas batch dengan pengebilan langganan. Input batch diterima ialah teks dan ia tidak menyediakan aliran muat naik Files/input_file_id. Huraian model Mini lebih luas tidak patut dianggap janji kependaman interaktif laluan batch ini.

Tersedia di Ailoot · input & kaedah

Ailoot Ultra · Kelompok POST /v1/batches
Input
text
Output
text
Format output
JSON results[].response.body sebaris
MedanJenisKeperluanNilai & hadLalai
MedanendpointJenisstringKeperluanDiperlukanNilai & had
/v1/chat/completions
Lalai—
MedanmodelJenisstringKeperluanDiperlukanNilai & had
openai/gpt-4.1-mini:batch
Lalai—
MedanrequestsJenisbatch_item[]KeperluanDiperlukanNilai & had
Item minimum: 1
Lalai—
Medanrequests[].custom_idJenisstringKeperluanDiperlukanNilai & hadLalai—
Medanrequests[].body.messagesJenismessage[]KeperluanDiperlukanNilai & hadLalai—
Medancompletion_windowJenisstringKeperluanPilihanNilai & had
24h
Lalai—
MedanproviderJenisobject|nullKeperluanPilihanNilai & hadLalai—
Medanrequests[].body.modelJenisstringKeperluanPilihanNilai & had
openai/gpt-4.1-mini:batch, openai/gpt-4.1-mini
Lalai—
Medanprovider.onlyJenisstring[]KeperluanPilihanNilai & had
openai
Lalai—
Medanprovider.allow_fallbacksJenisboolean|nullKeperluanPilihanNilai & had
false, null
Lalai—
Parameter kaedah dan kitar hayat
ParameterKontrak
Parametercontent_typeKontrakapplication/json
ParameterrequiredKontrakendpoint, model, requests
Parametermaterial_typesKontraktext
ParameterrepresentationKontrakrequests[] sebaris; setiap item mempunyai custom_id dan body
Parameterrequest_endpoint_profileKontrak/v1/chat/completions
Parameterfile_materialKontrakPemanggil boleh membaca JSONL UTF-8 sebenar secara setempat ke dalam requests[]. Tiada tujuan muat naik, input_file_id atau rujukan fail digunakan. Bahan pelanggan yang tiada atau kosong menghentikan persediaan sebelum POST.
Parameterserialization_orderKontrakendpoint, model, provider (jika dibekalkan), completion_window (jika dibekalkan), requests di akhir
Parameteroptional_controlsKontrakprovider.only, provider.allow_fallbacks, completion_window
Parameterschema_scopeKontrakBadan permintaan Chat Completions teks dalam pembungkus Batch sebaris yang didokumenkan.

Kitar hayat: asynchronous

GET /v1/batches/{operation_id} · response.id sebenar daripada respons penciptaan asal; pengguna/kunci/kumpulan yang sama

Pelan harga

Rujukan tarif tidak menambah pilihan permintaan. Parameter yang disokong disenaraikan untuk kaedah yang dipilih.

Mod pantas
Tidak dinyatakan Apabila mod pantas dipilih
Mod flex
Tidak dinyatakan Apabila mod flex dipilih
Usaha penaakulan maksimum
Tidak dinyatakan Apabila usaha penaakulan maksimum menggunakan pelarasan default
Harga cache eksplisit
Tidak diaktifkan Apabila cache eksplisit diminta

Kadar Ailoot

Harga mengikut konfigurasi

Padankan setiap caj dengan syarat yang dipaparkan. Gunakan satu kadar bagi setiap set konfigurasi alternatif.

KonfigurasiJadual kadarToken konteks, melebihiToken konteks, sehingga dan termasukCaj
KonfigurasiKadar asas tokenJadual kadarKadar asasToken konteks, melebihi—Token konteks, sehingga dan termasukTiada had atasCaj
Input · Token input $0.0004 / 1K token
Output · Token output $0.0016 / 1K token
Input · Bacaan cache $0.0001 / 1K token
Input · Penulisan cache — / 1K token
Input · Penulisan cache, 1 jam — / 1K token
KonfigurasiTahap panjang permintaan 1Jadual kadar—Token konteks, melebihi0Token konteks, sehingga dan termasukTiada had atasCaj
Input · Token input $0.0004 / 1K token
Output · Token output $0.0016 / 1K token
Input · Bacaan cache $0.0001 / 1K token
Input · Penulisan cache — / 1K token
Input · Penulisan cache, 1 jam — / 1K token

Ailoot merizabkan anggaran amaun sebelum permintaan. Selepas hasil diterima, caj akhir diselesaikan berdasarkan penggunaan terukur. Penyelesaian caj penstriman menggunakan rekod penggunaan akhir. Cara rizab dan penyelesaian caj berfungsi →

Contoh permintaan

Ailoot Ultra · Kelompok

set -eu\n: "${AILOOT_API_KEY:?Set your Ailoot API key}"\npython3 - <<'PY_REQUEST'\nimport json\nfrom pathlib import Path\nbody=json.loads('{"endpoint":"/v1/chat/completions","model":"openai/gpt-4.1-mini:batch","requests":[{"custom_id":"req-0001","body":{"messages":[{"role":"user","content":"Hello!"}],"max_tokens":16}}]}')\nPath("batch-request.json").write_text(json.dumps(body,ensure_ascii=False),encoding="utf-8")\nPY_REQUEST\ncurl --fail-with-body --silent --show-error https://api.ailoot.ai/v1/batches \\\n  -H "Authorization: Bearer $AILOOT_API_KEY" -H 'Content-Type: application/json' \\\n  --data-binary @batch-request.json -D batch-response-headers.txt -o batch-create-response.json\n

Terima dan simpan hasil

Ailoot Ultra · Kelompok

JSON results[].response.body sebaris

Semak status tugas
set -eu\n: "${AILOOT_API_KEY:?Set your Ailoot API key}"\nBATCH_OPERATION_ID="$(python3 - <<'PY_ID'\nimport json\nfrom pathlib import Path\nfrom urllib.parse import quote\nresponse = json.loads(Path("batch-create-response.json").read_text(encoding="utf-8"))\noperation = response.get("id")\nif not isinstance(operation, str) or not operation: raise SystemExit("No actual original operation ID; preserve the response and do not resubmit")\nprint(quote(operation, safe=""))\nPY_ID\n)"\ncurl --fail-with-body --silent --show-error "https://api.ailoot.ai/v1/batches/$BATCH_OPERATION_ID" \\\n  -H "Authorization: Bearer $AILOOT_API_KEY" -o batch-status-response.json\n
Simpan semua hasil yang selesai

Simpan setiap respons lengkap, fail dan bahagian kandungan yang dikembalikan.

Simpan keseluruhan JSON status asal, setiap hasil/custom_id serta badan respons atau ralat yang lengkap. Simpan results[] yang telah selesai sebagai JSONL tanpa penapisan.

Jika respons asal perlu disemak

Simpan ID operasi asal. 503 result_pending_check mempunyai X-Should-Retry:false; jangan sekali-kali hantar semula kelompok asal yang hasilnya tidak diketahui.

Medan respons
MedanJenis
Medanresults[].custom_idJenisstring
Medanresults[].response.body.choices[].message.contentJenisstring|null
Medanresults[].errorJenisobject|null
MedanusageJenisobject|null
MedanidJenisstring
MedanmodelJenisstring
MedanendpointJenisstring
MedanstatusJenisstring
Medanrequest_countsJenisobject
Medanresults[].idJenisstring
Medanresults[].response.status_codeJenisinteger
Medanresults[].response.request_idJenisstring
Ralat dan langkah seterusnya
ResponsSyaratLangkah seterusnya
Respons400 · invalid_request_errorSyaratPembungkus sebaris yang didokumenkan tidak sah, kunci berulang, identiti item atau keupayaan model yang dikonfigurasikan bercanggah.Langkah seterusnyaBetulkan medan yang dinyatakan sebelum sebarang penghantaran baharu.
Respons401 · authentication_errorSyaratKunci API tidak sah.Langkah seterusnyaGunakan kunci Ailoot yang dibenarkan.
Respons403 · permission_errorSyaratKumpulan kelompok tidak tersedia.Langkah seterusnyaSemak hak akses kunci/kumpulan.
Respons422 · invalid_request_errorSyaratKelompok menggunakan pengebilan baki; penciptaan melalui langganan ditolak.Langkah seterusnyaGunakan kumpulan yang dibenarkan untuk pengebilan melalui baki.
Respons422 · price_unavailableSyaratSebut harga tidak dapat diberikan untuk input kelompok.Langkah seterusnyaSimpan respons; gunakan input keluarga API yang didokumenkan.
Respons402 · billing_errorSyaratRizab kelompok tidak tersedia.Langkah seterusnyaSelesaikan isu penerimaan permintaan sebelum menghantar permintaan baharu.
Respons503 · price_unavailableSyaratHarga kaedah kelompok/kadar natif tidak tersedia.Langkah seterusnyaSimpan respons; jangan gantikan harga.
Respons503 · api_errorSyaratLaluan pembekal yang tepat tidak tersedia.Langkah seterusnyaSimpan respons untuk pembaikan laluan.
Respons503 · result_pending_checkSyaratHasil asal memerlukan semakan; X-Should-Retry:false.Langkah seterusnyaSimpan operation_id/id asal dan baca statusnya; jangan sekali-kali ulang POST asal.
Respons404 · not_foundSyaratOperasi status kelompok tiada atau dimiliki oleh identiti lain.Langkah seterusnyaGunakan id asal yang tepat serta pengguna/kunci/kumpulan yang sama.

Alias

Alias model

Ailoot Ultra openai/gpt-4.1-mini:batch

Alias laluan kaedah

Gunakan laluan kaedah yang dipaparkan di atas.

ID pemanggil berkaitan

openai/gpt-4.1-mini:batch

", "method_identity": { "effective_request_model_id": "openai/gpt-4.1-mini:batch", "fmt": "batches", "http": "POST", "path": "/v1/batches", "request_model_id": "openai/gpt-4.1-mini:batch", "route_label": "Ultra" }, "method_key": "Ultra|batches|/v1/batches|openai%2Fgpt-4.1-mini%3Abatch", "ordinal": 0, "rawMethod": { "available": null, "cache_read": 0.1, "cache_write": null, "cache_write_1h": null, "contract": { "data": { "all_results": "Preserve full JSON and every result; provider real IDs are only read from actual returned responses.", "authentication": { "api_key_source": "AILOOT_API_KEY", "header": "Authorization: Bearer" }, "errors": [ { "code": null, "condition": "Pembungkus sebaris yang didokumenkan tidak sah, kunci berulang, identiti item atau keupayaan model yang dikonfigurasikan bercanggah.", "http_status": 400, "recovery": "Betulkan medan yang dinyatakan sebelum sebarang penghantaran baharu.", "type": "invalid_request_error" }, { "code": null, "condition": "Kunci API tidak sah.", "http_status": 401, "recovery": "Gunakan kunci Ailoot yang dibenarkan.", "type": "authentication_error" }, { "code": null, "condition": "Kumpulan kelompok tidak tersedia.", "http_status": 403, "recovery": "Semak hak akses kunci/kumpulan.", "type": "permission_error" }, { "code": null, "condition": "Kelompok menggunakan pengebilan baki; penciptaan melalui langganan ditolak.", "http_status": 422, "recovery": "Gunakan kumpulan yang dibenarkan untuk pengebilan melalui baki.", "type": "invalid_request_error" }, { "code": null, "condition": "Sebut harga tidak dapat diberikan untuk input kelompok.", "http_status": 422, "recovery": "Simpan respons; gunakan input keluarga API yang didokumenkan.", "type": "price_unavailable" }, { "code": null, "condition": "Rizab kelompok tidak tersedia.", "http_status": 402, "recovery": "Selesaikan isu penerimaan permintaan sebelum menghantar permintaan baharu.", "type": "billing_error" }, { "code": null, "condition": "Harga kaedah kelompok/kadar natif tidak tersedia.", "http_status": 503, "recovery": "Simpan respons; jangan gantikan harga.", "type": "price_unavailable" }, { "code": null, "condition": "Laluan pembekal yang tepat tidak tersedia.", "http_status": 503, "recovery": "Simpan respons untuk pembaikan laluan.", "type": "api_error" }, { "code": "result_pending_check", "condition": "Hasil asal memerlukan semakan; X-Should-Retry:false.", "http_status": 503, "recovery": "Simpan operation_id/id asal dan baca statusnya; jangan sekali-kali ulang POST asal.", "type": null }, { "code": "not_found", "condition": "Operasi status kelompok tiada atau dimiliki oleh identiti lain.", "http_status": 404, "recovery": "Gunakan id asal yang tepat serta pengguna/kunci/kumpulan yang sama.", "type": null } ], "example_body": { "endpoint": "/v1/chat/completions", "model": "openai/gpt-4.1-mini:batch", "requests": [ { "body": { "max_tokens": 16, "messages": [ { "content": "Hello!", "role": "user" } ] }, "custom_id": "req-0001" } ] }, "input_constraints": [ "Use the exact shown :batch model ID.", "Each custom_id must be nonempty and unique within the batch.", "Keep requests last in the serialized body; duplicate JSON keys are rejected.", "Each body.model is omitted or equals the exact batch caller or its documented base ID.", "Per-item provider, service_tier and input_type are outside this batch profile.", "stream is omitted or false.", "Supply text messages for this Chat batch profile; image/audio/file/video objects, hosted tools and cache-control fields are outside this profile.", "If body.model is present, use only the exact caller or wire ID listed here; no suffix conversion is needed.", "For google/ wire IDs, all items use an identical response_format." ], "outputs": { "all_results": "Simpan keseluruhan JSON status asal, setiap hasil/custom_id serta badan respons atau ralat yang lengkap. Simpan results[] yang telah selesai sebagai JSONL tanpa penapisan.", "enclosing_family": "batch", "family": "text", "fields": [ { "name": "results[].custom_id", "type": "string" }, { "name": "results[].response.body.choices[].message.content", "type": "string|null" }, { "name": "results[].error", "type": "object|null" }, { "name": "usage", "type": "object|null" }, { "description": null, "name": "id", "type": "string" }, { "description": null, "name": "model", "type": "string" }, { "description": null, "name": "endpoint", "type": "string" }, { "description": null, "name": "status", "type": "string" }, { "description": null, "name": "request_counts", "type": "object" }, { "description": null, "name": "results[].id", "type": "string" }, { "description": null, "name": "results[].response.status_code", "type": "integer" }, { "description": null, "name": "results[].response.request_id", "type": "string" } ], "format": "JSON results[].response.body sebaris" }, "parameters": [ { "availability": "source_interface", "default": null, "default_known": false, "enum": [ "/v1/chat/completions" ], "enum_known": true, "name": "endpoint", "required": true, "type": "string" }, { "availability": "source_interface", "default": null, "default_known": false, "enum": [ "openai/gpt-4.1-mini:batch" ], "enum_known": true, "name": "model", "required": true, "type": "string" }, { "availability": "source_interface", "default": null, "default_known": false, "enum": null, "enum_known": false, "min_items": 1, "name": "requests", "required": true, "type": "batch_item[]" }, { "availability": "source_interface", "default": null, "default_known": false, "enum": null, "enum_known": false, "name": "requests[].custom_id", "required": true, "type": "string", "unique_within_batch": true }, { "availability": "source_interface", "default": null, "default_known": false, "enum": null, "enum_known": false, "name": "requests[].body.messages", "required": true, "type": "message[]" }, { "availability": "source_interface", "default": null, "default_known": false, "enum": [ "24h" ], "enum_known": true, "name": "completion_window", "required": false, "type": "string" }, { "availability": "source_interface", "default": null, "default_known": false, "enum": null, "enum_known": false, "name": "provider", "required": false, "type": "object|null" }, { "availability": "source_interface", "default": null, "default_known": false, "enum": [ "openai/gpt-4.1-mini:batch", "openai/gpt-4.1-mini" ], "enum_known": true, "name": "requests[].body.model", "required": false, "type": "string" }, { "availability": "source_interface", "default": null, "default_known": false, "enum": [ [ "openai" ] ], "enum_known": true, "name": "provider.only", "required": false, "type": "string[]" }, { "availability": "source_interface", "default": null, "default_known": false, "enum": [ false, null ], "enum_known": true, "name": "provider.allow_fallbacks", "required": false, "type": "boolean|null" } ], "provider_policy": { "allow_fallbacks": false, "configured_only": [ "openai" ], "per_item_override": false, "when_omitted": "Current Source injects the exact persisted declaration before fresh submission." }, "request_schema": { "additionalProperties": false, "properties": { "completion_window": { "enum": [ "24h" ], "type": "string" }, "endpoint": { "enum": [ "/v1/chat/completions" ], "type": "string" }, "model": { "enum": [ "openai/gpt-4.1-mini:batch" ], "type": "string" }, "provider": { "additionalProperties": false, "properties": { "allow_fallbacks": { "enum": [ false, null ], "type": [ "boolean", "null" ] }, "only": { "enum": [ [ "openai" ] ], "items": { "enum": [ "openai" ], "type": "string" }, "maxItems": 1, "minItems": 1, "type": "array" } }, "type": [ "object", "null" ] }, "requests": { "items": { "additionalProperties": false, "properties": { "body": { "additionalProperties": true, "properties": { "max_tokens": { "minimum": 1, "type": "integer" }, "messages": { "items": { "properties": { "content": { "type": "string" }, "role": { "type": "string" } }, "required": [ "role", "content" ], "type": "object" }, "minItems": 1, "type": "array" }, "model": { "enum": [ "openai/gpt-4.1-mini:batch", "openai/gpt-4.1-mini" ], "type": "string" } }, "required": [ "messages" ], "type": "object" }, "custom_id": { "minLength": 1, "type": "string" } }, "required": [ "custom_id", "body" ], "type": "object" }, "minItems": 1, "type": "array" } }, "required": [ "endpoint", "model", "requests" ], "type": "object" }, "schema_template": { "endpoint": "/v1/chat/completions", "model": "openai/gpt-4.1-mini:batch", "requests": [ { "body": { "max_tokens": 16, "messages": [ { "content": "Hello!", "role": "user" } ] }, "custom_id": "req-0001" } ] }, "unsupported": [ "Files/input_file_id batch upload workflow", "active cancel route", "public batch list/delete/result-download route", "model-name-derived capability or weights equivalence" ] }, "input": { "content_type": "application/json", "file_material": "Pemanggil boleh membaca JSONL UTF-8 sebenar secara setempat ke dalam requests[]. Tiada tujuan muat naik, input_file_id atau rujukan fail digunakan. Bahan pelanggan yang tiada atau kosong menghentikan persediaan sebelum POST.", "material_types": [ "text" ], "optional_controls": [ "provider.only", "provider.allow_fallbacks", "completion_window" ], "representation": "requests[] sebaris; setiap item mempunyai custom_id dan body", "request_endpoint_profile": "/v1/chat/completions", "required": [ "endpoint", "model", "requests" ], "schema_scope": "Badan permintaan Chat Completions teks dalam pembungkus Batch sebaris yang didokumenkan.", "serialization_order": [ "endpoint", "model", "provider (jika dibekalkan)", "completion_window (jika dibekalkan)", "requests di akhir" ] }, "lifecycle": { "cancel": null, "create": { "accepted_status": 202, "http": "POST", "path": "/v1/batches" }, "delete": null, "file_upload": null, "mode": "asynchronous", "observed_status_values": [ "validating", "in_progress", "finalizing", "completed", "failed", "expired", "cancelling", "cancelled" ], "owned_results": { "behavior": "Completed results are saved as owned JSONL, read back byte-for-byte and registered in the existing media library before publication after settlement. Status returns inline results; no separate Batch download route is added.", "format": "application/x-ndjson", "public_url_field_in_status": null }, "status": { "http": "GET", "id_source": "response.id sebenar daripada respons penciptaan asal; pengguna/kunci/kumpulan yang sama", "path": "/v1/batches/{operation_id}" }, "terminal": [ "completed", "failed", "expired", "cancelled" ], "unknown": "Simpan ID operasi asal. 503 result_pending_check mempunyai X-Should-Retry:false; jangan sekali-kali hantar semula kelompok asal yang hasilnya tidak diketahui." }, "manufacturer_capability": null, "method": { "http": "POST", "path": "/v1/batches" }, "output": { "all_results": "Preserve the full original status JSON, every result/custom_id and complete response or error body. Save completed results[] as JSONL without filtering.", "family": "batch", "format": "JSON; completed results[] are returned inline and can be saved as JSONL." } }, "ctx": null, "declared_pricing_profiles": [ { "dimensions": { "regime": "base" }, "label": "Kadar asas token", "units": [ { "amount": "0.0004000", "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "input_price", "label": "Input tokens", "native_amount_usd_per_unit": "0.0000004", "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": "0.0016000", "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "output_price", "label": "Output tokens", "native_amount_usd_per_unit": "0.0000016", "native_quantity": 1, "native_unit": "output_token", "public_unit_label": "/ 1K tokens", "quantity": 1000, "quantity_is_estimate": false, "rate_role": "typed_native_retail_rate", "side": "out", "unit": "output_token" }, { "amount": "0.0001000", "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "cache_read_price", "label": "Cache read", "native_amount_usd_per_unit": "0.0000001", "native_quantity": 1, "native_unit": "cached_input_token", "public_unit_label": "/ 1K tokens", "quantity": 1000, "quantity_is_estimate": false, "rate_role": "typed_native_retail_rate", "side": "in", "unit": "cached_input_token" }, { "amount": 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" } ] }, { "dimensions": { "max_context_tokens_inclusive": null, "min_context_tokens_exclusive": 0 }, "label": "Tahap panjang permintaan 1", "units": [ { "amount": "0.0004000", "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "input_price", "label": "Input tokens", "native_amount_usd_per_unit": "0.0000004", "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": "0.0016000", "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "output_price", "label": "Output tokens", "native_amount_usd_per_unit": "0.0000016", "native_quantity": 1, "native_unit": "output_token", "public_unit_label": "/ 1K tokens", "quantity": 1000, "quantity_is_estimate": false, "rate_role": "typed_native_retail_rate", "side": "out", "unit": "output_token" }, { "amount": "0.0001000", "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "cache_read_price", "label": "Cache read", "native_amount_usd_per_unit": "0.0000001", "native_quantity": 1, "native_unit": "cached_input_token", "public_unit_label": "/ 1K tokens", "quantity": 1000, "quantity_is_estimate": false, "rate_role": "typed_native_retail_rate", "side": "in", "unit": "cached_input_token" }, { "amount": 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}\"\npython3 - <<'PY_REQUEST'\nimport json\nfrom pathlib import Path\nbody=json.loads('{\"endpoint\":\"/v1/chat/completions\",\"model\":\"openai/gpt-4.1-mini:batch\",\"requests\":[{\"custom_id\":\"req-0001\",\"body\":{\"messages\":[{\"role\":\"user\",\"content\":\"Hello!\"}],\"max_tokens\":16}}]}')\nPath(\"batch-request.json\").write_text(json.dumps(body,ensure_ascii=False),encoding=\"utf-8\")\nPY_REQUEST\ncurl --fail-with-body --silent --show-error https://api.ailoot.ai/v1/batches \\\n -H \"Authorization: Bearer $AILOOT_API_KEY\" -H 'Content-Type: application/json' \\\n --data-binary @batch-request.json -D batch-response-headers.txt -o batch-create-response.json\n", "label": "curl · retained fixture", "language": "bash" }, { "code": "import json, os\nfrom pathlib import Path\nfrom urllib.request import Request, urlopen\n\ndef prepare_requests(customer_path):\n path = Path(customer_path)\n if not path.is_file(): raise ValueError(\"Customer JSONL file is missing\")\n items = [json.loads(line) for line in path.read_text(encoding=\"utf-8\").splitlines() if line.strip()]\n if not items: raise ValueError(\"Customer JSONL contains no requests\")\n ids = set()\n for item in items:\n if set(item) != {\"custom_id\", \"body\"}: raise ValueError(\"Each item needs custom_id and body\")\n cid = item[\"custom_id\"]\n if not isinstance(cid, str) or not cid.strip() or cid in ids: raise ValueError(\"custom_id must be nonempty and unique\")\n ids.add(cid)\n if not isinstance(item[\"body\"], dict) or not item[\"body\"].get(\"messages\"): raise ValueError(\"Supply actual text messages\")\n supplied_model = item[\"body\"].get(\"model\")\n if supplied_model is not None and supplied_model not in ['openai/gpt-4.1-mini:batch', 'openai/gpt-4.1-mini']: raise ValueError(\"body.model must be an exact documented caller or wire ID\")\n return {\"endpoint\":\"/v1/chat/completions\", \"model\":\"openai/gpt-4.1-mini:batch\", \"requests\":items}\n\nif __name__ == \"__main__\":\n material = os.environ.get(\"AILOOT_BATCH_REQUESTS_JSONL\", \"\")\n if not material: raise SystemExit(\"Set AILOOT_BATCH_REQUESTS_JSONL to your actual customer file\")\n body = prepare_requests(material)\n key = os.environ.get(\"AILOOT_API_KEY\", \"\")\n if not key: raise SystemExit(\"Set AILOOT_API_KEY\")\n request = Request(\"https://api.ailoot.ai/v1/batches\", data=json.dumps(body, ensure_ascii=False).encode(\"utf-8\"), headers={\"Authorization\":\"Bearer \" + key, \"Content-Type\":\"application/json\"}, method=\"POST\")\n with urlopen(request) as response:\n raw = response.read()\n Path(\"batch-create-response.json\").write_bytes(raw)\n print(raw.decode(\"utf-8\"))\n", "label": "Python HTTP · actual customer JSONL", "language": "python" }, { "code": "set -eu\n: \"${AILOOT_API_KEY:?Set your Ailoot API key}\"\nBATCH_OPERATION_ID=\"$(python3 - <<'PY_ID'\nimport json\nfrom pathlib import Path\nfrom urllib.parse import quote\nresponse = json.loads(Path(\"batch-create-response.json\").read_text(encoding=\"utf-8\"))\noperation = response.get(\"id\")\nif not isinstance(operation, str) or not operation: raise SystemExit(\"No actual original operation ID; preserve the response and do not resubmit\")\nprint(quote(operation, safe=\"\"))\nPY_ID\n)\"\ncurl --fail-with-body --silent --show-error \"https://api.ailoot.ai/v1/batches/$BATCH_OPERATION_ID\" \\\n -H \"Authorization: Bearer $AILOOT_API_KEY\" -o batch-status-response.json\n", "label": "curl · original operation status", "language": "bash" }, { "code": "import json\nfrom pathlib import Path\nraw = Path(\"batch-status-response.json\").read_bytes()\nresponse = json.loads(raw)\nif response.get(\"status\") != \"completed\":\n raise SystemExit(\"Keep the original operation; read its status without resubmitting\")\nresults = response.get(\"results\")\nif not isinstance(results, list) or not results:\n raise SystemExit(\"Preserve the original response; completed results are missing\")\nPath(\"batch-results.jsonl\").write_text(\"\".join(json.dumps(item, ensure_ascii=False) + \"\\n\" for item in results), encoding=\"utf-8\")\n# Preserve batch-status-response.json with aggregate usage and every result/error.\n", "label": "Python · save every completed result", "language": "python" } ], "family": "batch", "fast_multiplier": null, "flex_multiplier": null, "fmt": "batches", "hints": [ "Read your actual request items before submission; inline requests are required.", "Keep the returned operation ID and every result. Never replay an unknown submission." ], "http": "POST", "in": 0.4, "input": [ "text" ], "label": "Kelompok", "max_out": null, "max_reasoning_effort_multiplier": null, "out": 1.6, "output": [ "text" ], "path": "/v1/batches", "price_conditions": [ { "label": "Fast mode", "value": "Not specified", "when": "When fast mode is selected" }, { "label": "Flex mode", "value": "Not specified", "when": "When flex mode is selected" }, { "label": "Maximum reasoning effort", "value": "Not specified", "when": "When maximum reasoning effort uses the default adjustment" }, { "label": "Explicit cache pricing", "value": "Not enabled", "when": "When explicit cache is requested" } ], "pricing": { "billing_mode": "token", "image_input_price": null, "image_output_price": null, "per_request_price": null }, "pricing_profiles": [ { "dimensions": { "regime": "base" }, "label": "Base token rates", "units": [ { "amount": "0.0004000", "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "input_price", "label": "Input tokens", "native_amount_usd_per_unit": "0.0000004", "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": "0.0016000", "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "output_price", "label": "Output tokens", "native_amount_usd_per_unit": "0.0000016", "native_quantity": 1, "native_unit": "output_token", "public_unit_label": "/ 1K tokens", "quantity": 1000, "quantity_is_estimate": false, "rate_role": "typed_native_retail_rate", "side": "out", "unit": "output_token" }, { "amount": "0.0001000", "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "cache_read_price", "label": "Cache read", "native_amount_usd_per_unit": "0.0000001", "native_quantity": 1, "native_unit": "cached_input_token", "public_unit_label": "/ 1K tokens", "quantity": 1000, "quantity_is_estimate": false, "rate_role": "typed_native_retail_rate", "side": "in", "unit": "cached_input_token" }, { "amount": 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" } ] }, { "dimensions": { "max_context_tokens_inclusive": null, "min_context_tokens_exclusive": 0 }, "label": "Request-length tier 1", "units": [ { "amount": "0.0004000", "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "input_price", "label": "Input tokens", "native_amount_usd_per_unit": "0.0000004", "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": "0.0016000", "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "output_price", "label": "Output tokens", "native_amount_usd_per_unit": "0.0000016", "native_quantity": 1, "native_unit": "output_token", "public_unit_label": "/ 1K tokens", "quantity": 1000, "quantity_is_estimate": false, "rate_role": "typed_native_retail_rate", "side": "out", "unit": "output_token" }, { "amount": "0.0001000", "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "cache_read_price", "label": "Cache read", "native_amount_usd_per_unit": "0.0000001", "native_quantity": 1, "native_unit": "cached_input_token", "public_unit_label": "/ 1K tokens", "quantity": 1000, "quantity_is_estimate": false, "rate_role": "typed_native_retail_rate", "side": "in", "unit": "cached_input_token" }, { "amount": 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": "openai/gpt-4.1-mini:batch", "route_label": "Ultra", "status_reads": [ "GET /v1/batches/{operation_id}" ], "tiers": [ { "cache_read": 0.1, "cache_read_multiplier": null, "cache_write": null, "cache_write_1h": null, "cache_write_multiplier": null, "created_at": "0001-01-01T00:00:00Z", "in": 0.4, "input_multiplier": null, "max": null, "max_tokens": null, "min": 0, "min_tokens": 0, "out": 1.6, "output_multiplier": null, "per_request_price": null, "sort_order": 0, "tier_label": "", "updated_at": "0001-01-01T00:00:00Z" } ], "units": [ { "amount": "0.0004000", "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "input_price", "label": "Input tokens", "native_amount_usd_per_unit": "0.0000004", "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": "0.0016000", "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "output_price", "label": "Output tokens", "native_amount_usd_per_unit": "0.0000016", "native_quantity": 1, "native_unit": "output_token", "public_unit_label": "/ 1K tokens", "quantity": 1000, "quantity_is_estimate": false, "rate_role": "typed_native_retail_rate", "side": "out", "unit": "output_token" }, { "amount": "0.0001000", "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "cache_read_price", "label": "Cache read", "native_amount_usd_per_unit": "0.0000001", "native_quantity": 1, "native_unit": "cached_input_token", "public_unit_label": "/ 1K tokens", "quantity": 1000, "quantity_is_estimate": false, "rate_role": "typed_native_retail_rate", "side": "in", "unit": "cached_input_token" }, { "amount": 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_id": "openai/gpt-4.1-mini:batch", "nativeProvenance": { "input_facts_canonical_sha256": "1628d46b7981dba504ca141bd6af5c076f9b817daa3f6af9c4b9e1ea14cacfc0", "input_html_sha256": "2b1ae2d6fb31b5e43b9c8a229e3fab7c0780e7883fc1132c320846d38cccf4a2", "private_audit_sha256": "976d3b19f2fed3b7c1a33911dc635a713c017a05c3aca93f23a29782dbfa5d4e", "role": "historical-normalized-input-audit-hashes", "schema": "ailoot-native-model-provenance-v2" }, "page": { "canonical": "https://ailoot.ai/models/ms/openai-gpt-4-1-mini-u003a-batch/", "description": "Pemprosesan batch permintaan teks bebas, dengan padanan custom_id dan tetingkap penyiapan 24h pilihan.", "locale": "ms", "md_url": "https://ailoot.ai/models/ms/openai-gpt-4-1-mini-u003a-batch/index.md", "title": "OpenAI: GPT-4.1 Mini (batch) — Ailoot", "url": "https://ailoot.ai/models/ms/openai-gpt-4-1-mini-u003a-batch/" }, "rawModel": { "about": "GPT-4.1 Mini ialah model GPT-4.1 OpenAI yang lebih kecil dan pantas untuk mengikuti arahan serta membuat panggilan alat. Model ini menerima teks dan imej serta mengembalikan teks, termasuk Structured Outputs berasaskan skema. Pengeluar menerangkan respons berlatensi rendah tanpa langkah penaakulan berasingan, menjadikan Mini berguna untuk pembantu interaktif atau peringkat yang ditetapkan dengan jelas dalam aliran kerja yang lebih besar.\n\nBagi pengekstrakan dokumen, berikan bahan sumber, namakan medan yang perlu dikembalikan dan jelaskan cara nilai yang tiada atau bercanggah perlu ditampilkan. Tugas praktikal ialah menukar set mesej sokongan kepada topik, ringkasan bukti dan cadangan balasan yang berasaskan dasar yang relevan. Bagi suntingan kod, sertakan fail yang terjejas, perubahan yang diminta dan tingkah laku yang mesti dikekalkan. Arahan ini memberikan model artifak konkrit untuk dihasilkan dan bukannya arahan terbuka untuk menganalisis segala-galanya.\n\nOpenAI menyenaraikan tetingkap konteks 1047576 token, output maksimum 32768 token dan had pengetahuan 1 Jun 2024. Bahan sumber, perbualan dan output yang dijana berkongsi konteks yang tersedia. Susun input panjang dengan sempadan dokumen dan pengecam, nyatakan soalan yang penting dan tinggalkan ruang untuk jawapan. Fakta semasa atau peribadi perlu disertakan dalam bahan yang diberikan atau hasil alat carian yang dikonfigurasi secara jelas.\n\nInput imej menyokong soalan tentang foto, tangkapan skrin, rajah atau halaman dokumen. Panduan penglihatan OpenAI menerima PNG, JPEG, WebP dan GIF tanpa animasi. Jadual saiz GPT-4.1 Mini semasa menyokong perincian low, high dan auto dengan dimensi maksimum yang sama, iaitu 2048 piksel, serta bajet penskalaan 6144 petak imej; perincian original tidak disokong. Besarkan teks kecil, pastikan label tegak dan kekalkan konteks visual yang diperlukan untuk mentafsir carta. Hubungan ruang yang tepat, kiraan objek dan sesetengah teks bukan Latin boleh menjadi sukar, jadi minta pemerhatian yang relevan dan simpan imej untuk perbandingan. Dalam aliran kerja penglihatan yang didokumenkan oleh OpenAI, jumlah muatan permintaan dihadkan kepada 512 MB dan satu permintaan boleh merangkumi sehingga 1500 imej; imej serta teks juga mesti muat dalam konteks model.\n\nAliran kerja input fail pengeluar membezakan halaman PDF daripada dokumen lain. Dengan model yang berkeupayaan penglihatan, PDF menyumbang teks yang diekstrak dan imej halaman. Dokumen bukan PDF menyumbang teks dan bukannya carta terbenam, manakala pemprosesan hamparan menggunakan sehingga 1000 baris pertama setiap helaian dengan perwakilan diperkaya yang lebih kecil. Setiap fail mestilah di bawah 50 MB dan jumlah saiz fail yang dibenarkan bagi setiap permintaan ialah 50 MB. Chat Completions menerima bahagian fail PDF; aliran kerja Responses turut menerima format teks, dokumen pejabat dan hamparan yang didokumenkan. Pilih perwakilan yang mengandungi bukti yang diperlukan oleh soalan anda.\n\nPenstriman boleh mengembalikan teks semasa dijana. Bagi artifak akhir yang boleh dibaca mesin, Structured Outputs mengehadkan respons lengkap kepada subset JSON Schema yang disokong, manakala mod JSON hanya berkaitan dengan kesahan JSON. Takrifkan medan wajib, jenis dan nilai yang dibenarkan, serta wakilkan maklumat yang tiada secara jelas. Penolakan atau respons tidak lengkap perlu dikendalikan secara berasingan, dan objek yang berbentuk betul masih boleh mengandungi nilai yang salah. Hasil yang berguna ialah set medan lengkap yang berkait dengan bukti yang diberikan.\n\nSet alat Mini yang didokumenkan merangkumi panggilan fungsi, carian web, carian fail, pentafsiran kod dan sambungan MCP. Berikan huraian dan skema argumen yang jelas untuk alat tersuai; aplikasi melaksanakan fungsi yang diminta dan mengembalikan pemerhatian sebenar bagi langkah model seterusnya. OpenAI turut menyenaraikan Mini antara model yang boleh menggunakan alat penjanaan imejnya dalam aliran kerja Responses yang dikonfigurasi. Alat itu menghasilkan artifak imej berasingan; modaliti output Mini sendiri yang didokumenkan kekal berupa teks. Hasil carian atau pengiraan perlu membawa fakta yang diperlukan untuk penjelasan akhir.\n\nPredicted Outputs ialah laluan pengeluar berasingan untuk menjana semula teks atau kod yang sebahagian besarnya diketahui dengan perubahan kecil. Berikan kandungan sedia ada bersama suntingan yang diperlukan. Laluan itu hanya untuk teks dan tidak boleh digabungkan dengan panggilan fungsi; laluan itu turut mengecualikan beberapa kawalan penjanaan biasa, termasuk max_completion_tokens dan logprobs. Gunakan permintaan biasa yang menggunakan alat apabila tugas memerlukan pemerhatian luaran, bukannya menganggap ramalan dan pelaksanaan alat boleh saling menggantikan.\n\nOpenAI mendokumenkan fine-tuning terselia dan pengoptimuman keutamaan langsung bagi snapshot yang dinamakan secara khusus dalam keluarga GPT-4.1 Mini. Ini ialah aliran kerja penyesuaian model: contoh terselia mengajar tingkah laku input-ke-output yang dikehendaki, manakala respons yang diutamakan dan ditolak menyatakan pilihan gaya atau kandungan. Bagi inferens biasa, mulakan dengan tugas yang jelas, bukti yang relevan dan satu contoh hasil yang diperlukan. Susulan yang terfokus boleh membetulkan medan, memperhalus cadangan respons atau menyemak perubahan kod yang sama sambil mengekalkan kekangan asal supaya kelihatan.", "alias_of": null, "aliases": [], "author": "OpenAI", "capabilities": { "context_length": 1047576, "manufacturer_input": [ "image", "text", "file" ], "manufacturer_output": [ "text" ] }, "card_routes": [ { "label": "Ultra", "rates": [ { "amount": "0.0004000", "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "input_price", "label": "Input tokens", "native_amount_usd_per_unit": "0.0000004", "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": "0.0016000", "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "output_price", "label": "Output tokens", "native_amount_usd_per_unit": "0.0000016", "native_quantity": 1, "native_unit": "output_token", "public_unit_label": "/ 1K tokens", "quantity": 1000, "quantity_is_estimate": false, "rate_role": "typed_native_retail_rate", "side": "out", "unit": "output_token" } ], "summary": "Maklumat lengkap tentang harga konfigurasi terdapat dalam butiran." } ], "ctx": null, "formats": [ "batches" ], "id": "openai/gpt-4.1-mini:batch", "input": [ "text" ], "kind": "text", "max_out": null, "methods": [ { "available": null, "cache_read": 0.1, "cache_write": null, "cache_write_1h": null, "contract": { "data": { "all_results": "Preserve full JSON and every result; provider real IDs are only read from actual returned responses.", "authentication": { "api_key_source": "AILOOT_API_KEY", "header": "Authorization: Bearer" }, "errors": [ { "code": null, "condition": "Pembungkus sebaris yang didokumenkan tidak sah, kunci berulang, identiti item atau keupayaan model yang dikonfigurasikan bercanggah.", "http_status": 400, "recovery": "Betulkan medan yang dinyatakan sebelum sebarang penghantaran baharu.", "type": "invalid_request_error" }, { "code": null, "condition": "Kunci API tidak sah.", "http_status": 401, "recovery": "Gunakan kunci Ailoot yang dibenarkan.", "type": "authentication_error" }, { "code": null, "condition": "Kumpulan kelompok tidak tersedia.", "http_status": 403, "recovery": "Semak hak akses kunci/kumpulan.", "type": "permission_error" }, { "code": null, "condition": "Kelompok menggunakan pengebilan baki; penciptaan melalui langganan ditolak.", "http_status": 422, "recovery": "Gunakan kumpulan yang dibenarkan untuk pengebilan melalui baki.", "type": "invalid_request_error" }, { "code": null, "condition": "Sebut harga tidak dapat diberikan untuk input kelompok.", "http_status": 422, "recovery": "Simpan respons; gunakan input keluarga API yang didokumenkan.", "type": "price_unavailable" }, { "code": null, "condition": "Rizab kelompok tidak tersedia.", "http_status": 402, "recovery": "Selesaikan isu penerimaan permintaan sebelum menghantar permintaan baharu.", "type": "billing_error" }, { "code": null, "condition": "Harga kaedah kelompok/kadar natif tidak tersedia.", "http_status": 503, "recovery": "Simpan respons; jangan gantikan harga.", "type": "price_unavailable" }, { "code": null, "condition": "Laluan pembekal yang tepat tidak tersedia.", "http_status": 503, "recovery": "Simpan respons untuk pembaikan laluan.", "type": "api_error" }, { "code": "result_pending_check", "condition": "Hasil asal memerlukan semakan; X-Should-Retry:false.", "http_status": 503, "recovery": "Simpan operation_id/id asal dan baca statusnya; jangan sekali-kali ulang POST asal.", "type": null }, { "code": "not_found", "condition": "Operasi status kelompok tiada atau dimiliki oleh identiti lain.", "http_status": 404, "recovery": "Gunakan id asal yang tepat serta pengguna/kunci/kumpulan yang sama.", "type": null } ], "example_body": { "endpoint": "/v1/chat/completions", "model": "openai/gpt-4.1-mini:batch", "requests": [ { "body": { "max_tokens": 16, "messages": [ { "content": "Hello!", "role": "user" } ] }, "custom_id": "req-0001" } ] }, "input_constraints": [ "Use the exact shown :batch model ID.", "Each custom_id must be nonempty and unique within the batch.", "Keep requests last in the serialized body; duplicate JSON keys are rejected.", "Each body.model is omitted or equals the exact batch caller or its documented base ID.", "Per-item provider, service_tier and input_type are outside this batch profile.", "stream is omitted or false.", "Supply text messages for this Chat batch profile; image/audio/file/video objects, hosted tools and cache-control fields are outside this profile.", "If body.model is present, use only the exact caller or wire ID listed here; no suffix conversion is needed.", "For google/ wire IDs, all items use an identical response_format." ], "outputs": { "all_results": "Simpan keseluruhan JSON status asal, setiap hasil/custom_id serta badan respons atau ralat yang lengkap. Simpan results[] yang telah selesai sebagai JSONL tanpa penapisan.", "enclosing_family": "batch", "family": "text", "fields": [ { "name": "results[].custom_id", "type": "string" }, { "name": "results[].response.body.choices[].message.content", "type": "string|null" }, { "name": "results[].error", "type": "object|null" }, { "name": "usage", "type": "object|null" }, { "description": null, "name": "id", "type": "string" }, { "description": null, "name": "model", "type": "string" }, { "description": null, "name": "endpoint", "type": "string" }, { "description": null, "name": "status", "type": "string" }, { "description": null, "name": "request_counts", "type": "object" }, { "description": null, "name": "results[].id", "type": "string" }, { "description": null, "name": "results[].response.status_code", "type": "integer" }, { "description": null, "name": "results[].response.request_id", "type": "string" } ], "format": "JSON results[].response.body sebaris" }, "parameters": [ { "availability": "source_interface", "default": null, "default_known": false, "enum": [ "/v1/chat/completions" ], "enum_known": true, "name": "endpoint", "required": true, "type": "string" }, { "availability": "source_interface", "default": null, "default_known": false, "enum": [ "openai/gpt-4.1-mini:batch" ], "enum_known": true, "name": "model", "required": true, "type": "string" }, { "availability": "source_interface", "default": null, "default_known": false, "enum": null, "enum_known": false, "min_items": 1, "name": "requests", "required": true, "type": "batch_item[]" }, { "availability": "source_interface", "default": null, "default_known": false, "enum": null, "enum_known": false, "name": "requests[].custom_id", "required": true, "type": "string", "unique_within_batch": true }, { "availability": "source_interface", "default": null, "default_known": false, "enum": null, "enum_known": false, "name": "requests[].body.messages", "required": true, "type": "message[]" }, { "availability": "source_interface", "default": null, "default_known": false, "enum": [ "24h" ], "enum_known": true, "name": "completion_window", "required": false, "type": "string" }, { "availability": "source_interface", "default": null, "default_known": false, "enum": null, "enum_known": false, "name": "provider", "required": false, "type": "object|null" }, { "availability": "source_interface", "default": null, "default_known": false, "enum": [ "openai/gpt-4.1-mini:batch", "openai/gpt-4.1-mini" ], "enum_known": true, "name": "requests[].body.model", "required": false, "type": "string" }, { "availability": "source_interface", "default": null, "default_known": false, "enum": [ [ "openai" ] ], "enum_known": true, "name": "provider.only", "required": false, "type": "string[]" }, { "availability": "source_interface", "default": null, "default_known": false, "enum": [ false, null ], "enum_known": true, "name": "provider.allow_fallbacks", "required": false, "type": "boolean|null" } ], "provider_policy": { "allow_fallbacks": false, "configured_only": [ "openai" ], "per_item_override": false, "when_omitted": "Current Source injects the exact persisted declaration before fresh submission." }, "request_schema": { "additionalProperties": false, "properties": { "completion_window": { "enum": [ "24h" ], "type": "string" }, "endpoint": { "enum": [ "/v1/chat/completions" ], "type": "string" }, "model": { "enum": [ "openai/gpt-4.1-mini:batch" ], "type": "string" }, "provider": { "additionalProperties": false, "properties": { "allow_fallbacks": { "enum": [ false, null ], "type": [ "boolean", "null" ] }, "only": { "enum": [ [ "openai" ] ], "items": { "enum": [ "openai" ], "type": "string" }, "maxItems": 1, "minItems": 1, "type": "array" } }, "type": [ "object", "null" ] }, "requests": { "items": { "additionalProperties": false, "properties": { "body": { "additionalProperties": true, "properties": { "max_tokens": { "minimum": 1, "type": "integer" }, "messages": { "items": { "properties": { "content": { "type": "string" }, "role": { "type": "string" } }, "required": [ "role", "content" ], "type": "object" }, "minItems": 1, "type": "array" }, "model": { "enum": [ "openai/gpt-4.1-mini:batch", "openai/gpt-4.1-mini" ], "type": "string" } }, "required": [ "messages" ], "type": "object" }, "custom_id": { "minLength": 1, "type": "string" } }, "required": [ "custom_id", "body" ], "type": "object" }, "minItems": 1, "type": "array" } }, "required": [ "endpoint", "model", "requests" ], "type": "object" }, "schema_template": { "endpoint": "/v1/chat/completions", "model": "openai/gpt-4.1-mini:batch", "requests": [ { "body": { "max_tokens": 16, "messages": [ { "content": "Hello!", "role": "user" } ] }, "custom_id": "req-0001" } ] }, "unsupported": [ "Files/input_file_id batch upload workflow", "active cancel route", "public batch list/delete/result-download route", "model-name-derived capability or weights equivalence" ] }, "input": { "content_type": "application/json", "file_material": "Pemanggil boleh membaca JSONL UTF-8 sebenar secara setempat ke dalam requests[]. Tiada tujuan muat naik, input_file_id atau rujukan fail digunakan. Bahan pelanggan yang tiada atau kosong menghentikan persediaan sebelum POST.", "material_types": [ "text" ], "optional_controls": [ "provider.only", "provider.allow_fallbacks", "completion_window" ], "representation": "requests[] sebaris; setiap item mempunyai custom_id dan body", "request_endpoint_profile": "/v1/chat/completions", "required": [ "endpoint", "model", "requests" ], "schema_scope": "Badan permintaan Chat Completions teks dalam pembungkus Batch sebaris yang didokumenkan.", "serialization_order": [ "endpoint", "model", "provider (jika dibekalkan)", "completion_window (jika dibekalkan)", "requests di akhir" ] }, "lifecycle": { "cancel": null, "create": { "accepted_status": 202, "http": "POST", "path": "/v1/batches" }, "delete": null, "file_upload": null, "mode": "asynchronous", "observed_status_values": [ "validating", "in_progress", "finalizing", "completed", "failed", "expired", "cancelling", "cancelled" ], "owned_results": { "behavior": "Completed results are saved as owned JSONL, read back byte-for-byte and registered in the existing media library before publication after settlement. Status returns inline results; no separate Batch download route is added.", "format": "application/x-ndjson", "public_url_field_in_status": null }, "status": { "http": "GET", "id_source": "response.id sebenar daripada respons penciptaan asal; pengguna/kunci/kumpulan yang sama", "path": "/v1/batches/{operation_id}" }, "terminal": [ "completed", "failed", "expired", "cancelled" ], "unknown": "Simpan ID operasi asal. 503 result_pending_check mempunyai X-Should-Retry:false; jangan sekali-kali hantar semula kelompok asal yang hasilnya tidak diketahui." }, "manufacturer_capability": null, "method": { "http": "POST", "path": "/v1/batches" }, "output": { "all_results": "Preserve the full original status JSON, every result/custom_id and complete response or error body. Save completed results[] as JSONL without filtering.", "family": "batch", "format": "JSON; completed results[] are returned inline and can be saved as JSONL." } }, "ctx": null, "declared_pricing_profiles": [ { "dimensions": { "regime": "base" }, "label": "Kadar asas token", "units": [ { "amount": "0.0004000", "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "input_price", "label": "Input tokens", "native_amount_usd_per_unit": "0.0000004", "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": "0.0016000", "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "output_price", "label": "Output tokens", "native_amount_usd_per_unit": "0.0000016", "native_quantity": 1, "native_unit": "output_token", "public_unit_label": "/ 1K tokens", "quantity": 1000, "quantity_is_estimate": false, "rate_role": "typed_native_retail_rate", "side": "out", "unit": "output_token" }, { "amount": "0.0001000", "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "cache_read_price", "label": "Cache read", "native_amount_usd_per_unit": "0.0000001", "native_quantity": 1, "native_unit": "cached_input_token", "public_unit_label": "/ 1K tokens", "quantity": 1000, "quantity_is_estimate": false, "rate_role": "typed_native_retail_rate", "side": "in", "unit": "cached_input_token" }, { "amount": 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" } ] }, { "dimensions": { "max_context_tokens_inclusive": null, "min_context_tokens_exclusive": 0 }, "label": "Tahap panjang permintaan 1", "units": [ { "amount": "0.0004000", "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "input_price", "label": "Input tokens", "native_amount_usd_per_unit": "0.0000004", "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": "0.0016000", "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "output_price", "label": "Output tokens", "native_amount_usd_per_unit": "0.0000016", "native_quantity": 1, "native_unit": "output_token", "public_unit_label": "/ 1K tokens", "quantity": 1000, "quantity_is_estimate": false, "rate_role": "typed_native_retail_rate", "side": "out", "unit": "output_token" }, { "amount": "0.0001000", "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "cache_read_price", "label": "Cache read", "native_amount_usd_per_unit": "0.0000001", "native_quantity": 1, "native_unit": "cached_input_token", "public_unit_label": "/ 1K tokens", "quantity": 1000, "quantity_is_estimate": false, "rate_role": "typed_native_retail_rate", "side": "in", "unit": "cached_input_token" }, { "amount": 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}\"\npython3 - <<'PY_REQUEST'\nimport json\nfrom pathlib import Path\nbody=json.loads('{\"endpoint\":\"/v1/chat/completions\",\"model\":\"openai/gpt-4.1-mini:batch\",\"requests\":[{\"custom_id\":\"req-0001\",\"body\":{\"messages\":[{\"role\":\"user\",\"content\":\"Hello!\"}],\"max_tokens\":16}}]}')\nPath(\"batch-request.json\").write_text(json.dumps(body,ensure_ascii=False),encoding=\"utf-8\")\nPY_REQUEST\ncurl --fail-with-body --silent --show-error https://api.ailoot.ai/v1/batches \\\n -H \"Authorization: Bearer $AILOOT_API_KEY\" -H 'Content-Type: application/json' \\\n --data-binary @batch-request.json -D batch-response-headers.txt -o batch-create-response.json\n", "label": "curl · retained fixture", "language": "bash" }, { "code": "import json, os\nfrom pathlib import Path\nfrom urllib.request import Request, urlopen\n\ndef prepare_requests(customer_path):\n path = Path(customer_path)\n if not path.is_file(): raise ValueError(\"Customer JSONL file is missing\")\n items = [json.loads(line) for line in path.read_text(encoding=\"utf-8\").splitlines() if line.strip()]\n if not items: raise ValueError(\"Customer JSONL contains no requests\")\n ids = set()\n for item in items:\n if set(item) != {\"custom_id\", \"body\"}: raise ValueError(\"Each item needs custom_id and body\")\n cid = item[\"custom_id\"]\n if not isinstance(cid, str) or not cid.strip() or cid in ids: raise ValueError(\"custom_id must be nonempty and unique\")\n ids.add(cid)\n if not isinstance(item[\"body\"], dict) or not item[\"body\"].get(\"messages\"): raise ValueError(\"Supply actual text messages\")\n supplied_model = item[\"body\"].get(\"model\")\n if supplied_model is not None and supplied_model not in ['openai/gpt-4.1-mini:batch', 'openai/gpt-4.1-mini']: raise ValueError(\"body.model must be an exact documented caller or wire ID\")\n return {\"endpoint\":\"/v1/chat/completions\", \"model\":\"openai/gpt-4.1-mini:batch\", \"requests\":items}\n\nif __name__ == \"__main__\":\n material = os.environ.get(\"AILOOT_BATCH_REQUESTS_JSONL\", \"\")\n if not material: raise SystemExit(\"Set AILOOT_BATCH_REQUESTS_JSONL to your actual customer file\")\n body = prepare_requests(material)\n key = os.environ.get(\"AILOOT_API_KEY\", \"\")\n if not key: raise SystemExit(\"Set AILOOT_API_KEY\")\n request = Request(\"https://api.ailoot.ai/v1/batches\", data=json.dumps(body, ensure_ascii=False).encode(\"utf-8\"), headers={\"Authorization\":\"Bearer \" + key, \"Content-Type\":\"application/json\"}, method=\"POST\")\n with urlopen(request) as response:\n raw = response.read()\n Path(\"batch-create-response.json\").write_bytes(raw)\n print(raw.decode(\"utf-8\"))\n", "label": "Python HTTP · actual customer JSONL", "language": "python" }, { "code": "set -eu\n: \"${AILOOT_API_KEY:?Set your Ailoot API key}\"\nBATCH_OPERATION_ID=\"$(python3 - <<'PY_ID'\nimport json\nfrom pathlib import Path\nfrom urllib.parse import quote\nresponse = json.loads(Path(\"batch-create-response.json\").read_text(encoding=\"utf-8\"))\noperation = response.get(\"id\")\nif not isinstance(operation, str) or not operation: raise SystemExit(\"No actual original operation ID; preserve the response and do not resubmit\")\nprint(quote(operation, safe=\"\"))\nPY_ID\n)\"\ncurl --fail-with-body --silent --show-error \"https://api.ailoot.ai/v1/batches/$BATCH_OPERATION_ID\" \\\n -H \"Authorization: Bearer $AILOOT_API_KEY\" -o batch-status-response.json\n", "label": "curl · original operation status", "language": "bash" }, { "code": "import json\nfrom pathlib import Path\nraw = Path(\"batch-status-response.json\").read_bytes()\nresponse = json.loads(raw)\nif response.get(\"status\") != \"completed\":\n raise SystemExit(\"Keep the original operation; read its status without resubmitting\")\nresults = response.get(\"results\")\nif not isinstance(results, list) or not results:\n raise SystemExit(\"Preserve the original response; completed results are missing\")\nPath(\"batch-results.jsonl\").write_text(\"\".join(json.dumps(item, ensure_ascii=False) + \"\\n\" for item in results), encoding=\"utf-8\")\n# Preserve batch-status-response.json with aggregate usage and every result/error.\n", "label": "Python · save every completed result", "language": "python" } ], "family": "batch", "fast_multiplier": null, "flex_multiplier": null, "fmt": "batches", "hints": [ "Read your actual request items before submission; inline requests are required.", "Keep the returned operation ID and every result. Never replay an unknown submission." ], "http": "POST", "in": 0.4, "input": [ "text" ], "label": "Kelompok", "max_out": null, "max_reasoning_effort_multiplier": null, "out": 1.6, "output": [ "text" ], "path": "/v1/batches", "price_conditions": [ { "label": "Fast mode", "value": "Not specified", "when": "When fast mode is selected" }, { "label": "Flex mode", "value": "Not specified", "when": "When flex mode is selected" }, { "label": "Maximum reasoning effort", "value": "Not specified", "when": "When maximum reasoning effort uses the default adjustment" }, { "label": "Explicit cache pricing", "value": "Not enabled", "when": "When explicit cache is requested" } ], "pricing": { "billing_mode": "token", "image_input_price": null, "image_output_price": null, "per_request_price": null }, "pricing_profiles": [ { "dimensions": { "regime": "base" }, "label": "Base token rates", "units": [ { "amount": "0.0004000", "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "input_price", "label": "Input tokens", "native_amount_usd_per_unit": "0.0000004", "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": "0.0016000", "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "output_price", "label": "Output tokens", "native_amount_usd_per_unit": "0.0000016", "native_quantity": 1, "native_unit": "output_token", "public_unit_label": "/ 1K tokens", "quantity": 1000, "quantity_is_estimate": false, "rate_role": "typed_native_retail_rate", "side": "out", "unit": "output_token" }, { "amount": "0.0001000", "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "cache_read_price", "label": "Cache read", "native_amount_usd_per_unit": "0.0000001", "native_quantity": 1, "native_unit": "cached_input_token", "public_unit_label": "/ 1K tokens", "quantity": 1000, "quantity_is_estimate": false, "rate_role": "typed_native_retail_rate", "side": "in", "unit": "cached_input_token" }, { "amount": 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" } ] }, { "dimensions": { "max_context_tokens_inclusive": null, "min_context_tokens_exclusive": 0 }, "label": "Request-length tier 1", "units": [ { "amount": "0.0004000", "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "input_price", "label": "Input tokens", "native_amount_usd_per_unit": "0.0000004", "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": "0.0016000", "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "output_price", "label": "Output tokens", "native_amount_usd_per_unit": "0.0000016", "native_quantity": 1, "native_unit": "output_token", "public_unit_label": "/ 1K tokens", "quantity": 1000, "quantity_is_estimate": false, "rate_role": "typed_native_retail_rate", "side": "out", "unit": "output_token" }, { "amount": "0.0001000", "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "cache_read_price", "label": "Cache read", "native_amount_usd_per_unit": "0.0000001", "native_quantity": 1, "native_unit": "cached_input_token", "public_unit_label": "/ 1K tokens", "quantity": 1000, "quantity_is_estimate": false, "rate_role": "typed_native_retail_rate", "side": "in", "unit": "cached_input_token" }, { "amount": 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": "openai/gpt-4.1-mini:batch", "route_label": "Ultra", "status_reads": [ "GET /v1/batches/{operation_id}" ], "tiers": [ { "cache_read": 0.1, "cache_read_multiplier": null, "cache_write": null, "cache_write_1h": null, "cache_write_multiplier": null, "created_at": "0001-01-01T00:00:00Z", "in": 0.4, "input_multiplier": null, "max": null, "max_tokens": null, "min": 0, "min_tokens": 0, "out": 1.6, "output_multiplier": null, "per_request_price": null, "sort_order": 0, "tier_label": "", "updated_at": "0001-01-01T00:00:00Z" } ], "units": [ { "amount": "0.0004000", "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "input_price", "label": "Input tokens", "native_amount_usd_per_unit": "0.0000004", "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": "0.0016000", "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "output_price", "label": "Output tokens", "native_amount_usd_per_unit": "0.0000016", "native_quantity": 1, "native_unit": "output_token", "public_unit_label": "/ 1K tokens", "quantity": 1000, "quantity_is_estimate": false, "rate_role": "typed_native_retail_rate", "side": "out", "unit": "output_token" }, { "amount": "0.0001000", "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "cache_read_price", "label": "Cache read", "native_amount_usd_per_unit": "0.0000001", "native_quantity": 1, "native_unit": "cached_input_token", "public_unit_label": "/ 1K tokens", "quantity": 1000, "quantity_is_estimate": false, "rate_role": "typed_native_retail_rate", "side": "in", "unit": "cached_input_token" }, { "amount": 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": "openai/gpt-4.1-mini:batch", "request_model_id": "openai/gpt-4.1-mini:batch", "route_label": "Ultra" } ], "name": "OpenAI: GPT-4.1 Mini (batch)", "price": { "in": 0.4, "in_label": null, "out": 1.6, "out_label": null, "scope_label": "Token rates", "sort_in": 0.4, "sort_out": 1.6, "varies": true }, "short": "GPT-4.1 Mini menggabungkan pemahaman teks dan imej dengan konteks besar, arahan yang tepat dan panggilan alat. Gunakannya untuk mengekstrak maklumat berstruktur, menjawab berdasarkan dokumen yang diberikan atau melaksanakan tugas penulisan dan pengekodan yang terfokus." }, "renderer_schema": { "method_order": "Original DTO methods order; every exact route/format/path/caller survives.", "prices": "Original public DTO fields and original native display HTML; no flattened or normalized offers." }, "representation": "exact-public-dto-and-native-renderer-html", "representationNotes": { "current_reference": { "about_json_pointer": "/aboutHtml", "methods": [ { "contract_json_pointer": "/methods/0/rawMethod/contract", "html_json_pointer": "/methods/0/html", "method_ordinal": 0 } ], "role": "current-semantic-reference" }, "raw_input": { "examples_role": "historical-input-not-current-ready-examples", "json_pointers": [ "/rawModel", "/methods/0/rawMethod" ], "role": "historical-owner-input" }, "schema": "ailoot-native-model-representations-v1" }, "schema": "ailoot-static-model-facts-v1", "schema_version": 1, "shortText": "Pemprosesan batch permintaan teks bebas, dengan padanan custom_id dan tetingkap penyiapan 24h pilihan.", "source": { "audit_sha256": "2e00086bcbfc28e64d0cebe97aa47c17d8d5618963027f8ffb9dc6123d7d25b1", "bridge_map_sha256": "1125275768b9636fc8461bc7da5061239a81ddfe508e2557843ca42c58ab0036", "raw_model_json_sha256": "a9fda0ca5b4cb4dd44c631381699e80c1250e088520e28081142d801ecb6bdab", "renderer_sha256": "1dab5ba62521e9568c8b7c82005622cabbf330a075df7cce1f83274a04009460" }, "sourceRevision": "180b7b3415f276d80a3d491f215b6a6bf82fd5109d3da20b54e98b2af067884d" }