{ "aboutHtml": "

Penyenaraian ini mengenal pasti edisi FP8 Qwen3-4B. FP8 menamakan perwakilan model terkuantum, dan edisi ini berbeza daripada penyenaraian Qwen3-4B berketepatan standard. Checkpoint pengeluar Qwen yang sepadan ialah model teks 4 bilion parameter yang skop terbitannya merangkumi pematuhan arahan, dialog dan penaakulan.

Sediakan tugasan bahasa dengan skop yang jelas

Berikan teks dan sasaran keluaran yang jelas, seperti penerangan, draf pendek atau perbandingan berdasarkan kriteria yang diberikan. Sertakan fakta yang berkaitan dan khalayak sasaran. Letakkan contoh berdekatan dengan tugasan apabila gaya atau perbezaan tertentu penting.

Nilai edisi yang dinyatakan

Gunakan bahan sumber dan kriteria semakan yang sama apabila membandingkan keluaran. Semak keselarasan fakta, pematuhan arahan dan kelengkapan jawapan yang dihantar. Simpan nama edisi FP8 dan profil penyajian pilihan bersama penilaian.

Pengeluar mendokumenkan tingkah laku berfikir dan tanpa berfikir untuk checkpointnya. Kawalan dan peruntukan konteks yang disediakan oleh edisi hos bergantung pada profil penyajian tersebut; penyenaraian ini kekal berbeza daripada checkpoint langsung pengeluar.

Melalui Ailoot, pilih ID model yang tepat ini dalam /v1/chat/completions dan sertakan tugasan dalam messages. Setiap mesej membawa role dan kandungannya; simpan arahan yang berkaitan bersama bahan sumber. Kumpulkan respons JSON yang lengkap atau semua segmen SSE apabila stream diaktifkan, dan simpan usage bersama hasil bertulis.

", "aboutText": "Penyenaraian ini mengenal pasti edisi FP8 Qwen3-4B. FP8 menamakan perwakilan model terkuantum, dan edisi ini berbeza daripada penyenaraian Qwen3-4B berketepatan standard. Checkpoint pengeluar Qwen yang sepadan ialah model teks 4 bilion parameter yang skop terbitannya merangkumi pematuhan arahan, dialog dan penaakulan.\n\n### Sediakan tugasan bahasa dengan skop yang jelas\n\nBerikan teks dan sasaran keluaran yang jelas, seperti penerangan, draf pendek atau perbandingan berdasarkan kriteria yang diberikan. Sertakan fakta yang berkaitan dan khalayak sasaran. Letakkan contoh berdekatan dengan tugasan apabila gaya atau perbezaan tertentu penting.\n\n### Nilai edisi yang dinyatakan\n\nGunakan bahan sumber dan kriteria semakan yang sama apabila membandingkan keluaran. Semak keselarasan fakta, pematuhan arahan dan kelengkapan jawapan yang dihantar. Simpan nama edisi FP8 dan profil penyajian pilihan bersama penilaian.\n\nPengeluar mendokumenkan tingkah laku berfikir dan tanpa berfikir untuk checkpointnya. Kawalan dan peruntukan konteks yang disediakan oleh edisi hos bergantung pada profil penyajian tersebut; penyenaraian ini kekal berbeza daripada checkpoint langsung pengeluar.\n\nMelalui Ailoot, pilih ID model yang tepat ini dalam /v1/chat/completions dan sertakan tugasan dalam messages. Setiap mesej membawa role dan kandungannya; simpan arahan yang berkaitan bersama bahan sumber. Kumpulkan respons JSON yang lengkap atau semua segmen SSE apabila stream diaktifkan, dan simpan usage bersama hasil bertulis.", "editorialOverlay": { "copy_fields": null, "copy_sha256": null, "copy_source": null, "html_sha256": "9309b29ccf10703ecc8a4931fd5499b2e1f7876dea2a19e8beca380836da833d", "module_sha256": "ee9dc1c50b1e6a8fb7fa062030fcb4646b9aaaeb08be513b723a5a92a7290f06", "raw_model_unchanged": true, "schema": "ailoot-native-model-editorial-v1" }, "locale": "ms", "methods": [ { "html": "
•

qwen/qwen3-4b-fp8

Lain-lain /qwen/qwen3-4b-fp8

Pengenalan

Qwen/Qwen3-4B-FP8 ialah edisi FP8 Qwen3-4B, profil model teks kompak untuk tugas bahasa berpandukan arahan.

Input yang diterima
Teks · Imej
Hasil
Teks
Tentang model

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

Penyenaraian ini mengenal pasti edisi FP8 Qwen3-4B. FP8 menamakan perwakilan model terkuantum, dan edisi ini berbeza daripada penyenaraian Qwen3-4B berketepatan standard. Checkpoint pengeluar Qwen yang sepadan ialah model teks 4 bilion parameter yang skop terbitannya merangkumi pematuhan arahan, dialog dan penaakulan.

Sediakan tugasan bahasa dengan skop yang jelas

Berikan teks dan sasaran keluaran yang jelas, seperti penerangan, draf pendek atau perbandingan berdasarkan kriteria yang diberikan. Sertakan fakta yang berkaitan dan khalayak sasaran. Letakkan contoh berdekatan dengan tugasan apabila gaya atau perbezaan tertentu penting.

Nilai edisi yang dinyatakan

Gunakan bahan sumber dan kriteria semakan yang sama apabila membandingkan keluaran. Semak keselarasan fakta, pematuhan arahan dan kelengkapan jawapan yang dihantar. Simpan nama edisi FP8 dan profil penyajian pilihan bersama penilaian.

Pengeluar mendokumenkan tingkah laku berfikir dan tanpa berfikir untuk checkpointnya. Kawalan dan peruntukan konteks yang disediakan oleh edisi hos bergantung pada profil penyajian tersebut; penyenaraian ini kekal berbeza daripada checkpoint langsung pengeluar.

Melalui Ailoot, pilih ID model yang tepat ini dalam /v1/chat/completions dan sertakan tugasan dalam messages. Setiap mesej membawa role dan kandungannya; simpan arahan yang berkaitan bersama bahan sumber. Kumpulkan respons JSON yang lengkap atau semua segmen SSE apabila stream diaktifkan, dan simpan usage bersama hasil bertulis.

Tersedia di Ailoot · input & kaedah

Ailoot Ultra · OpenAI Chat POST /v1/chat/completions
Input
text, image
Output
text
Format output
JSON or SSE
MedanJenisKeperluanNilai & hadLalai
MedanmodelJenisstringKeperluanDiperlukanNilai & had
qwen/qwen3-4b-fp8
Syarat: Gunakan pemilih penghalaan Ailoot ini tepat seperti yang dinyatakan.
Lalai—
MedanmessagesJenisarrayKeperluanDiperlukanNilai & had
Syarat:
Lalai—
MedanstreamJenisbooleanKeperluanPilihanNilai & had
Syarat:
Lalaifalse
Gabungan bahan input

text_input · Diperlukan: messages

image_with_text · Diperlukan: messages with actual image content blocks

Parameter kaedah dan kitar hayat
ParameterKontrak
Parametercontent_typeKontrakapplication/json
ParameterrequiredKontrakmodel, messages
ParameteroptionalKontrakstream
Parametermaterial_typesKontraktext, image
ParameterconditionsKontrakGunakan pemilih penghalaan Ailoot ini tepat seperti yang dinyatakan., Protokol ini membawa kandungan imej jika model yang dipilih itu menyokong penglihatan. Penerimaan oleh protokol tidak membuktikan keupayaan imej bagi setiap model.

Alias kaedah: /chat/completions

Kitar hayat: synchronous_or_streamed

Pelan harga

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

Mod pantas
Kadar standard Apabila mod pantas dipilih
Mod flex
Kadar standard Apabila mod flex dipilih
Usaha penaakulan maksimum
Kadar standard Apabila usaha penaakulan maksimum menggunakan pelarasan default
Harga cache eksplisit
Tidak diaktifkan Apabila cache eksplisit diminta
Kadar sifar untuk teks sahaja
Data cache, alat dan media tertakluk pada syarat harga masing-masing yang disenaraikan secara berasingan. Untuk input dan output teks sahaja

Kadar Ailoot

Harga mengikut konfigurasi

KonfigurasiJadual kadarCaj
KonfigurasiKadar asas tokenJadual kadarKadar asasCaj
Input · Token input $0 / 1K token
Output · Token output $0 / 1K token
Input · Bacaan cache $0 / 1K token
Input · Penulisan cache $0 / 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 · OpenAI Chat

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": "qwen/qwen3-4b-fp8", "messages": [{"role": "user", "content": "Explain how a rainbow forms."}]}')\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

Terima dan simpan hasil

Ailoot Ultra · OpenAI Chat

JSON or SSE

Simpan semua hasil yang selesai

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

Simpan setiap blok kandungan, ID panggilan alat, tandatangan pemikiran apabila dikembalikan, semua delta SSE dan data penggunaan lengkap. Fragmen teks pertama bukan keseluruhan hasil.

Jika respons asal perlu disemak

Simpan X-Client-Request-ID asal, respons dan pengepala. Hasil yang tidak diketahui atau result_pending_check tidak membenarkan penciptaan kedua.

Medan respons
MedanJenis
Medanchoices[]Jenisobject
MedanusageJenisobject
Ralat dan langkah seterusnya
ResponsSyaratLangkah seterusnya
Respons400 · invalid_request_errorSyaratMedan wajib, pemilih model, jenis atau bentuk input tidak sah.Langkah seterusnyaSemak butiran pengesahan yang dikembalikan sebelum menyediakan permintaan berasingan.
ResponsSyaratPermintaan atau hasil asal tidak diketahui atau memerlukan semakan.Langkah seterusnyaSimpan pengecam dan pengepala asal; baca hanya rekod status/pustaka yang disokong. Jangan hantar semula permintaan penciptaan.

Alias

Alias model

Ailoot Ultra qwen/qwen3-4b-fp8

Alias laluan kaedah

/chat/completions

ID pemanggil berkaitan

qwen/qwen3-4b-fp8

", "method_identity": { "effective_request_model_id": "qwen/qwen3-4b-fp8", "fmt": "chat", "http": "POST", "path": "/v1/chat/completions", "request_model_id": "qwen/qwen3-4b-fp8", "route_label": "Ultra" }, "method_key": "Ultra|chat|/v1/chat/completions|qwen%2Fqwen3-4b-fp8", "ordinal": 0, "rawMethod": { "available": null, "cache_read": 0, "cache_write": 0, "cache_write_1h": null, "contract": { "data": { "accepted_material_guidance": { "content_type": "application/json", "example_scope": "The preserved text example is one valid request form, not the full protocol input set.", "image_condition": "Image content is carried by this protocol where the exact selected model supports vision. Protocol admission does not establish image capability for every model.", "material_types": [ "text", "image" ], "text_file_material": "Actual UTF-8 text can be inserted in a text content part." }, "all_results": "Retain the complete response and headers, original identifiers, every actual output and all usage/accounting fields. Save each unique owned asset and retain every role pointing to it.", "authentication": { "header": "Authorization", "scheme": "Bearer", "value": "$AILOOT_API_KEY" }, "errors": [ { "condition": "Medan wajib, pemilih model, jenis atau bentuk input tidak sah.", "http_status": 400, "recovery": "Semak butiran pengesahan yang dikembalikan sebelum menyediakan permintaan berasingan.", "type": "invalid_request_error" }, { "condition": "Permintaan atau hasil asal tidak diketahui atau memerlukan semakan.", "http_status": null, "recovery": "Simpan pengecam dan pengepala asal; baca hanya rekod status/pustaka yang disokong. Jangan hantar semula permintaan penciptaan.", "type": null } ], "lifecycle": { "cancel_endpoint": null, "create": { "http": "POST", "path": "/v1/chat/completions" }, "mode": "synchronous_or_streamed", "status": [], "unknown": "Simpan X-Client-Request-ID asal, respons dan pengepala. Hasil yang tidak diketahui atau result_pending_check tidak membenarkan penciptaan kedua.", "unknown_no_replay": true }, "material_combinations": [ { "materials": [ "text" ], "mode": "text_input", "required": [ "messages" ] }, { "condition": "Image content is carried by this protocol where the exact selected model supports vision. Protocol admission does not establish image capability for every model.", "materials": [ "text", "image" ], "mode": "image_with_text", "required": [ "messages with actual image content blocks" ] } ], "model_capability_scope": { "all_models_vision_claim": false, "manufacturer_description_preserved": "Retain grounded accepted legacy vision descriptions; a plain text example is not a capability ceiling.", "model_vision": "conditional_on_exact_model_capability", "transport_materials": [ "text", "image" ], "video_audio_inferred": false }, "outputs": { "all_results": "Simpan setiap blok kandungan, ID panggilan alat, tandatangan pemikiran apabila dikembalikan, semua delta SSE dan data penggunaan lengkap. Fragmen teks pertama bukan keseluruhan hasil.", "every_actual_output": true, "family": "text", "fields": [ { "name": "choices[]", "type": "object" }, { "name": "usage", "type": "object" } ], "format": "JSON or SSE" }, "parameters": [ { "conditions": "Gunakan pemilih penghalaan Ailoot ini tepat seperti yang dinyatakan.", "default_known": false, "enum": [ "qwen/qwen3-4b-fp8" ], "enum_known": true, "name": "model", "required": true, "type": "string" }, { "conditions": "", "default_known": false, "enum_known": false, "items": { "properties": { "content": { "oneOf": [ { "type": "string" }, { "items": { "oneOf": [ { "properties": { "text": { "type": "string" }, "type": { "const": "text" } }, "required": [ "type", "text" ], "type": "object" }, { "properties": { "image_url": { "properties": { "detail": { "type": "string" }, "url": { "type": "string" } }, "required": [ "url" ], "type": "object" }, "type": { "const": "image_url" } }, "required": [ "type", "image_url" ], "type": "object" } ] }, "type": "array" } ] }, "role": { "type": "string" } }, "required": [ "role", "content" ], "type": "object" }, "minItems": 1, "name": "messages", "required": true, "type": "array" }, { "conditions": "", "default": false, "default_known": true, "enum_known": false, "name": "stream", "required": false, "type": "boolean" } ], "request_schema": { "additionalProperties": true, "properties": { "messages": { "items": { "properties": { "content": { "oneOf": [ { "type": "string" }, { "items": { "oneOf": [ { "properties": { "text": { "type": "string" }, "type": { "const": "text" } }, "required": [ "type", "text" ], "type": "object" }, { "properties": { "image_url": { "properties": { "detail": { "type": "string" }, "url": { "type": "string" } }, "required": [ "url" ], "type": "object" }, "type": { "const": "image_url" } }, "required": [ "type", "image_url" ], "type": "object" } ] }, "type": "array" } ] }, "role": { "type": "string" } }, "required": [ "role", "content" ], "type": "object" }, "minItems": 1, "type": "array" }, "model": { "enum": [ "qwen/qwen3-4b-fp8" ], "type": "string" }, "stream": { "default": false, "type": "boolean" } }, "required": [ "model", "messages" ], "type": "object" }, "schema_template": { "actual_file_preparation_required": false, "body": { "messages": [ { "content": "Explain how a rainbow forms.", "role": "user" } ], "model": "qwen/qwen3-4b-fp8" }, "content_type": "application/json", "example_is_offline_content": true }, "usage": { "meter": "Use the accepted method price and actual recorded usage; the request reserve is an estimate. A billing unit does not add an input capability.", "preserve": "Keep all returned usage, accounting and request identifiers with every actual output.", "settlement": "Retain the original operation; reconcile its result and accounting once." } }, "input": { "conditions": [ "Gunakan pemilih penghalaan Ailoot ini tepat seperti yang dinyatakan.", "Protokol ini membawa kandungan imej jika model yang dipilih itu menyokong penglihatan. Penerimaan oleh protokol tidak membuktikan keupayaan imej bagi setiap model." ], "content_type": "application/json", "material_types": [ "text", "image" ], "optional": [ "stream" ], "required": [ "model", "messages" ] }, "lifecycle": { "cancel_endpoint": null, "create": { "http": "POST", "path": "/v1/chat/completions" }, "mode": "synchronous_or_streamed", "status": [], "unknown": "Keep the original X-Client-Request-ID, response and headers. An unknown or result_pending_check outcome does not authorize a second creation.", "unknown_no_replay": true }, "method": { "http": "POST", "path": "/v1/chat/completions" }, "method_aliases": [ "/chat/completions" ], "output": { "all_results": "Retain every content block, tool-call ID, thinking signature when returned, all SSE deltas and complete usage. A first text fragment is not the whole result.", "every_actual_output": true, "family": "text", "fields": [ { "name": "choices[]", "type": "object" }, { "name": "usage", "type": "object" } ], "format": "JSON or SSE" } }, "ctx": null, "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": "0", "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", "native_quantity": 1, "native_unit": "cached_input_token", "public_unit_label": "/ 1K tokens", "quantity": 1000, "quantity_is_estimate": false, "rate_role": "typed_native_retail_rate", "side": "in", "unit": "cached_input_token" }, { "amount": "0", "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "cache_write_price", "label": "Cache write", "native_amount_usd_per_unit": "0", "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\": \"qwen/qwen3-4b-fp8\", \"messages\": [{\"role\": \"user\", \"content\": \"Explain how a rainbow forms.\"}]}')\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", "http": "POST", "in": 0, "input": [ "text", "image" ], "input_conditions": { "image": "Image content is carried by this protocol where the exact selected model supports vision. Protocol admission does not establish image capability for every model." }, "label": "OpenAI Chat", "max_out": null, "max_reasoning_effort_multiplier": 1, "method_aliases": [ "/chat/completions" ], "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": "Kadar sifar untuk teks sahaja", "value": "Data cache, alat dan media tertakluk pada syarat harga masing-masing yang disenaraikan secara berasingan.", "when": "Untuk input dan output teks sahaja" } ], "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", "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": "0", "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", "native_quantity": 1, "native_unit": "cached_input_token", "public_unit_label": "/ 1K tokens", "quantity": 1000, "quantity_is_estimate": false, "rate_role": "typed_native_retail_rate", "side": "in", "unit": "cached_input_token" }, { "amount": "0", "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "cache_write_price", "label": "Cache write", "native_amount_usd_per_unit": "0", "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": "qwen/qwen3-4b-fp8", "route_label": "Ultra", "status_reads": [], "tiers": [], "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": "0", "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", "native_quantity": 1, "native_unit": "cached_input_token", "public_unit_label": "/ 1K tokens", "quantity": 1000, "quantity_is_estimate": false, "rate_role": "typed_native_retail_rate", "side": "in", "unit": "cached_input_token" }, { "amount": "0", "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "cache_write_price", "label": "Cache write", "native_amount_usd_per_unit": "0", "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": "
•

qwen/qwen3-4b-fp8

Lain-lain /qwen/qwen3-4b-fp8

Pengenalan

Qwen/Qwen3-4B-FP8 ialah edisi FP8 Qwen3-4B, profil model teks kompak untuk tugas bahasa berpandukan arahan.

Input yang diterima
Teks · Imej
Hasil
json · sse
Tentang model

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

Penyenaraian ini mengenal pasti edisi FP8 Qwen3-4B. FP8 menamakan perwakilan model terkuantum, dan edisi ini berbeza daripada penyenaraian Qwen3-4B berketepatan standard. Checkpoint pengeluar Qwen yang sepadan ialah model teks 4 bilion parameter yang skop terbitannya merangkumi pematuhan arahan, dialog dan penaakulan.

Sediakan tugasan bahasa dengan skop yang jelas

Berikan teks dan sasaran keluaran yang jelas, seperti penerangan, draf pendek atau perbandingan berdasarkan kriteria yang diberikan. Sertakan fakta yang berkaitan dan khalayak sasaran. Letakkan contoh berdekatan dengan tugasan apabila gaya atau perbezaan tertentu penting.

Nilai edisi yang dinyatakan

Gunakan bahan sumber dan kriteria semakan yang sama apabila membandingkan keluaran. Semak keselarasan fakta, pematuhan arahan dan kelengkapan jawapan yang dihantar. Simpan nama edisi FP8 dan profil penyajian pilihan bersama penilaian.

Pengeluar mendokumenkan tingkah laku berfikir dan tanpa berfikir untuk checkpointnya. Kawalan dan peruntukan konteks yang disediakan oleh edisi hos bergantung pada profil penyajian tersebut; penyenaraian ini kekal berbeza daripada checkpoint langsung pengeluar.

Melalui Ailoot, pilih ID model yang tepat ini dalam /v1/chat/completions dan sertakan tugasan dalam messages. Setiap mesej membawa role dan kandungannya; simpan arahan yang berkaitan bersama bahan sumber. Kumpulkan respons JSON yang lengkap atau semua segmen SSE apabila stream diaktifkan, dan simpan usage bersama hasil bertulis.

Tersedia di Ailoot · input & kaedah

Ailoot Ultra · Anthropic Messages POST /v1/messages
Input
text, image
Output
json, sse
Format output
JSON or SSE
MedanJenisKeperluanNilai & hadLalai
MedanmodelJenisstringKeperluanDiperlukanNilai & had
qwen/qwen3-4b-fp8
Syarat: Gunakan pemilih penghalaan Ailoot ini tepat seperti yang dinyatakan.
Lalai—
MedanmessagesJenisarrayKeperluanDiperlukanNilai & had
Syarat:
Lalai—
MedanstreamJenisbooleanKeperluanPilihanNilai & had
Syarat:
Lalaifalse
Medanmax_tokensJenisintegerKeperluanDiperlukanNilai & had
Minimum: 1
Syarat:
Lalai—
Gabungan bahan input

text_input · Diperlukan: messages

image_with_text · Diperlukan: messages with actual image content blocks

Parameter kaedah dan kitar hayat
ParameterKontrak
Parametercontent_typeKontrakapplication/json
ParameterrequiredKontrakmodel, messages, max_tokens
ParameteroptionalKontrakstream
Parametermaterial_typesKontraktext, image
ParameterconditionsKontrakGunakan pemilih penghalaan Ailoot ini tepat seperti yang dinyatakan., Protokol ini membawa kandungan imej jika model yang dipilih itu menyokong penglihatan. Penerimaan oleh protokol tidak membuktikan keupayaan imej bagi setiap model.

Kitar hayat: synchronous_or_streamed

Pelan harga

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

Mod pantas
Kadar standard Apabila mod pantas dipilih
Mod flex
Kadar standard Apabila mod flex dipilih
Usaha penaakulan maksimum
Kadar standard Apabila usaha penaakulan maksimum menggunakan pelarasan default
Harga cache eksplisit
Tidak diaktifkan Apabila cache eksplisit diminta
Kadar sifar untuk teks sahaja
Data cache, alat dan media tertakluk pada syarat harga masing-masing yang disenaraikan secara berasingan. Untuk input dan output teks sahaja

Kadar Ailoot

Harga mengikut konfigurasi

KonfigurasiJadual kadarCaj
KonfigurasiKadar asas tokenJadual kadarKadar asasCaj
Input · Token input $0 / 1K token
Output · Token output $0 / 1K token
Input · Bacaan cache $0 / 1K token
Input · Penulisan cache $0 / 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 · Anthropic Messages

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": "qwen/qwen3-4b-fp8", "messages": [{"role": "user", "content": "Explain how a rainbow forms."}], "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

Terima dan simpan hasil

Ailoot Ultra · Anthropic Messages

JSON or SSE

Simpan semua hasil yang selesai

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

Simpan setiap blok kandungan, ID panggilan alat, tandatangan pemikiran apabila dikembalikan, semua delta SSE dan data penggunaan lengkap. Fragmen teks pertama bukan keseluruhan hasil.

Jika respons asal perlu disemak

Simpan X-Client-Request-ID asal, respons dan pengepala. Hasil yang tidak diketahui atau result_pending_check tidak membenarkan penciptaan kedua.

Medan respons
MedanJenis
Medancontent[]Jenisobject
MedanusageJenisobject
Ralat dan langkah seterusnya
ResponsSyaratLangkah seterusnya
Respons400 · invalid_request_errorSyaratMedan wajib, pemilih model, jenis atau bentuk input tidak sah.Langkah seterusnyaSemak butiran pengesahan yang dikembalikan sebelum menyediakan permintaan berasingan.
ResponsSyaratPermintaan atau hasil asal tidak diketahui atau memerlukan semakan.Langkah seterusnyaSimpan pengecam dan pengepala asal; baca hanya rekod status/pustaka yang disokong. Jangan hantar semula permintaan penciptaan.

Alias

Alias model

Ailoot Ultra qwen/qwen3-4b-fp8

Alias laluan kaedah

/chat/completions

ID pemanggil berkaitan

qwen/qwen3-4b-fp8

", "method_identity": { "effective_request_model_id": "qwen/qwen3-4b-fp8", "fmt": "messages", "http": "POST", "path": "/v1/messages", "request_model_id": "qwen/qwen3-4b-fp8", "route_label": "Ultra" }, "method_key": "Ultra|messages|/v1/messages|qwen%2Fqwen3-4b-fp8", "ordinal": 1, "rawMethod": { "available": null, "cache_read": 0, "cache_write": 0, "cache_write_1h": null, "contract": { "data": { "accepted_material_guidance": { "content_type": "application/json", "example_scope": "The preserved text example is one valid request form, not the full protocol input set.", "image_condition": "Image content is carried by this protocol where the exact selected model supports vision. Protocol admission does not establish image capability for every model.", "material_types": [ "text", "image" ], "text_file_material": "Actual UTF-8 text can be inserted in a text content part." }, "all_results": "Retain the complete response and headers, original identifiers, every actual output and all usage/accounting fields. Save each unique owned asset and retain every role pointing to it.", "authentication": { "header": "Authorization", "scheme": "Bearer", "value": "$AILOOT_API_KEY" }, "errors": [ { "condition": "Medan wajib, pemilih model, jenis atau bentuk input tidak sah.", "http_status": 400, "recovery": "Semak butiran pengesahan yang dikembalikan sebelum menyediakan permintaan berasingan.", "type": "invalid_request_error" }, { "condition": "Permintaan atau hasil asal tidak diketahui atau memerlukan semakan.", "http_status": null, "recovery": "Simpan pengecam dan pengepala asal; baca hanya rekod status/pustaka yang disokong. Jangan hantar semula permintaan penciptaan.", "type": null } ], "lifecycle": { "cancel_endpoint": null, "create": { "http": "POST", "path": "/v1/messages" }, "mode": "synchronous_or_streamed", "status": [], "unknown": "Simpan X-Client-Request-ID asal, respons dan pengepala. Hasil yang tidak diketahui atau result_pending_check tidak membenarkan penciptaan kedua.", "unknown_no_replay": true }, "material_combinations": [ { "materials": [ "text" ], "mode": "text_input", "required": [ "messages" ] }, { "condition": "Image content is carried by this protocol where the exact selected model supports vision. Protocol admission does not establish image capability for every model.", "materials": [ "text", "image" ], "mode": "image_with_text", "required": [ "messages with actual image content blocks" ] } ], "model_capability_scope": { "all_models_vision_claim": false, "manufacturer_description_preserved": "Retain grounded accepted legacy vision descriptions; a plain text example is not a capability ceiling.", "model_vision": "conditional_on_exact_model_capability", "transport_materials": [ "text", "image" ], "video_audio_inferred": false }, "outputs": { "all_results": "Simpan setiap blok kandungan, ID panggilan alat, tandatangan pemikiran apabila dikembalikan, semua delta SSE dan data penggunaan lengkap. Fragmen teks pertama bukan keseluruhan hasil.", "every_actual_output": true, "family": "text", "fields": [ { "name": "content[]", "type": "object" }, { "name": "usage", "type": "object" } ], "format": "JSON or SSE" }, "parameters": [ { "conditions": "Gunakan pemilih penghalaan Ailoot ini tepat seperti yang dinyatakan.", "default_known": false, "enum": [ "qwen/qwen3-4b-fp8" ], "enum_known": true, "name": "model", "required": true, "type": "string" }, { "conditions": "", "default_known": false, "enum_known": false, "items": { "properties": { "content": { "oneOf": [ { "type": "string" }, { "items": { "oneOf": [ { "properties": { "text": { "type": "string" }, "type": { "const": "text" } }, "required": [ "type", "text" ], "type": "object" }, { "properties": { "source": { "oneOf": [ { "properties": { "type": { "const": "url" }, "url": { "type": "string" } }, "required": [ "type", "url" ], "type": "object" }, { "properties": { "data": { "type": "string" }, "media_type": { "type": "string" }, "type": { "const": "base64" } }, "required": [ "type", "media_type", "data" ], "type": "object" } ] }, "type": { "const": "image" } }, "required": [ "type", "source" ], "type": "object" } ] }, "type": "array" } ] }, "role": { "enum": [ "user", "assistant" ], "type": "string" } }, "required": [ "role", "content" ], "type": "object" }, "minItems": 1, "name": "messages", "required": true, "type": "array" }, { "conditions": "", "default": false, "default_known": true, "enum_known": false, "name": "stream", "required": false, "type": "boolean" }, { "conditions": "", "default_known": false, "enum_known": false, "minimum": 1, "name": "max_tokens", "required": true, "type": "integer" } ], "request_schema": { "additionalProperties": true, "properties": { "max_tokens": { "minimum": 1, "type": "integer" }, "messages": { "items": { "properties": { "content": { "oneOf": [ { "type": "string" }, { "items": { "oneOf": [ { "properties": { "text": { "type": "string" }, "type": { "const": "text" } }, "required": [ "type", "text" ], "type": "object" }, { "properties": { "source": { "oneOf": [ { "properties": { "type": { "const": "url" }, "url": { "type": "string" } }, "required": [ "type", "url" ], "type": "object" }, { "properties": { "data": { "type": "string" }, "media_type": { "type": "string" }, "type": { "const": "base64" } }, "required": [ "type", "media_type", "data" ], "type": "object" } ] }, "type": { "const": "image" } }, "required": [ "type", "source" ], "type": "object" } ] }, "type": "array" } ] }, "role": { "enum": [ "user", "assistant" ], "type": "string" } }, "required": [ "role", "content" ], "type": "object" }, "minItems": 1, "type": "array" }, "model": { "enum": [ "qwen/qwen3-4b-fp8" ], "type": "string" }, "stream": { "default": false, "type": "boolean" } }, "required": [ "model", "messages", "max_tokens" ], "type": "object" }, "schema_template": { "actual_file_preparation_required": false, "body": { "max_tokens": 256, "messages": [ { "content": "Explain how a rainbow forms.", "role": "user" } ], "model": "qwen/qwen3-4b-fp8" }, "content_type": "application/json", "example_is_offline_content": true }, "usage": { "meter": "Use the accepted method price and actual recorded usage; the request reserve is an estimate. A billing unit does not add an input capability.", "preserve": "Keep all returned usage, accounting and request identifiers with every actual output.", "settlement": "Retain the original operation; reconcile its result and accounting once." } }, "input": { "conditions": [ "Gunakan pemilih penghalaan Ailoot ini tepat seperti yang dinyatakan.", "Protokol ini membawa kandungan imej jika model yang dipilih itu menyokong penglihatan. Penerimaan oleh protokol tidak membuktikan keupayaan imej bagi setiap model." ], "content_type": "application/json", "material_types": [ "text", "image" ], "optional": [ "stream" ], "required": [ "model", "messages", "max_tokens" ] }, "lifecycle": { "cancel_endpoint": null, "create": { "http": "POST", "path": "/v1/messages" }, "mode": "synchronous_or_streamed", "status": [], "unknown": "Keep the original X-Client-Request-ID, response and headers. An unknown or result_pending_check outcome does not authorize a second creation.", "unknown_no_replay": true }, "method": { "http": "POST", "path": "/v1/messages" }, "method_aliases": [], "output": { "all_results": "Retain every content block, tool-call ID, thinking signature when returned, all SSE deltas and complete usage. A first text fragment is not the whole result.", "every_actual_output": true, "family": "text", "fields": [ { "name": "content[]", "type": "object" }, { "name": "usage", "type": "object" } ], "format": "JSON or SSE" } }, "ctx": null, "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": "0", "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", "native_quantity": 1, "native_unit": "cached_input_token", "public_unit_label": "/ 1K tokens", "quantity": 1000, "quantity_is_estimate": false, "rate_role": "typed_native_retail_rate", "side": "in", "unit": "cached_input_token" }, { "amount": "0", "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "cache_write_price", "label": "Cache write", "native_amount_usd_per_unit": "0", "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\": \"qwen/qwen3-4b-fp8\", \"messages\": [{\"role\": \"user\", \"content\": \"Explain how a rainbow forms.\"}], \"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", "in": 0, "input": [ "text", "image" ], "input_conditions": { "image": "Image content is carried by this protocol where the exact selected model supports vision. Protocol admission does not establish image capability for every model." }, "label": "Anthropic Messages", "max_out": null, "max_reasoning_effort_multiplier": 1, "method_aliases": [], "out": 0, "output": [ "json", "sse" ], "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": "Explicit cache pricing", "value": "Not enabled", "when": "When explicit cache is requested" }, { "label": "Kadar sifar untuk teks sahaja", "value": "Data cache, alat dan media tertakluk pada syarat harga masing-masing yang disenaraikan secara berasingan.", "when": "Untuk input dan output teks sahaja" } ], "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", "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": "0", "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", "native_quantity": 1, "native_unit": "cached_input_token", "public_unit_label": "/ 1K tokens", "quantity": 1000, "quantity_is_estimate": false, "rate_role": "typed_native_retail_rate", "side": "in", "unit": "cached_input_token" }, { "amount": "0", "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "cache_write_price", "label": "Cache write", "native_amount_usd_per_unit": "0", "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": "qwen/qwen3-4b-fp8", "route_label": "Ultra", "status_reads": [], "tiers": [], "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": "0", "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", "native_quantity": 1, "native_unit": "cached_input_token", "public_unit_label": "/ 1K tokens", "quantity": 1000, "quantity_is_estimate": false, "rate_role": "typed_native_retail_rate", "side": "in", "unit": "cached_input_token" }, { "amount": "0", "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "cache_write_price", "label": "Cache write", "native_amount_usd_per_unit": "0", "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": "qwen/qwen3-4b-fp8", "nativeProvenance": { "input_facts_canonical_sha256": "14d801872d129983e8ffaa38205f8d0cbc3eddf89fbe9ec4f2369ae4912cd627", "input_html_sha256": "97fbc41a319197613e3d8772e35cac09bffced04fc15250fc6bbbc9102fd6b5e", "private_audit_sha256": "c7804cfd4197ea87106f48ac0378dc9eb56a026d5d41737e4fdea2defe1e709a", "role": "historical-normalized-input-audit-hashes", "schema": "ailoot-native-model-provenance-v2" }, "page": { "canonical": "https://ailoot.ai/models/ms/qwen-qwen3-4b-fp8/", "description": "Qwen/Qwen3-4B-FP8 ialah edisi FP8 Qwen3-4B, profil model teks kompak untuk tugas bahasa berpandukan arahan.", "locale": "ms", "md_url": "https://ailoot.ai/models/ms/qwen-qwen3-4b-fp8/index.md", "title": "qwen/qwen3-4b-fp8 — Ailoot", "url": "https://ailoot.ai/models/ms/qwen-qwen3-4b-fp8/" }, "rawModel": { "about": "Penyenaraian ini mengenal pasti edisi FP8 Qwen3-4B. FP8 menamakan perwakilan model terkuantum, dan edisi ini berbeza daripada penyenaraian Qwen3-4B berketepatan standard. Checkpoint pengeluar Qwen yang sepadan ialah model teks 4 bilion parameter yang skop terbitannya merangkumi pematuhan arahan, dialog dan penaakulan.\n\n### Sediakan tugasan bahasa dengan skop yang jelas\n\nBerikan teks dan sasaran keluaran yang jelas, seperti penerangan, draf pendek atau perbandingan berdasarkan kriteria yang diberikan. Sertakan fakta yang berkaitan dan khalayak sasaran. Letakkan contoh berdekatan dengan tugasan apabila gaya atau perbezaan tertentu penting.\n\n### Nilai edisi yang dinyatakan\n\nGunakan bahan sumber dan kriteria semakan yang sama apabila membandingkan keluaran. Semak keselarasan fakta, pematuhan arahan dan kelengkapan jawapan yang dihantar. Simpan nama edisi FP8 dan profil penyajian pilihan bersama penilaian.\n\nPengeluar mendokumenkan tingkah laku berfikir dan tanpa berfikir untuk checkpointnya. Kawalan dan peruntukan konteks yang disediakan oleh edisi hos bergantung pada profil penyajian tersebut; penyenaraian ini kekal berbeza daripada checkpoint langsung pengeluar.\n\nMelalui Ailoot, pilih ID model yang tepat ini dalam /v1/chat/completions dan sertakan tugasan dalam messages. Setiap mesej membawa role dan kandungannya; simpan arahan yang berkaitan bersama bahan sumber. Kumpulkan respons JSON yang lengkap atau semua segmen SSE apabila stream diaktifkan, dan simpan usage bersama hasil bertulis.", "alias_of": null, "aliases": [], "card_routes": [ { "label": "Ultra", "rates": [ { "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" } ], "summary": "Maklumat lengkap tentang harga konfigurasi terdapat dalam butiran." } ], "ctx": null, "formats": [ "chat", "messages" ], "id": "qwen/qwen3-4b-fp8", "input": [ "text", "image" ], "kind": "text", "max_out": null, "methods": [ { "available": null, "cache_read": 0, "cache_write": 0, "cache_write_1h": null, "contract": { "data": { "accepted_material_guidance": { "content_type": "application/json", "example_scope": "The preserved text example is one valid request form, not the full protocol input set.", "image_condition": "Image content is carried by this protocol where the exact selected model supports vision. Protocol admission does not establish image capability for every model.", "material_types": [ "text", "image" ], "text_file_material": "Actual UTF-8 text can be inserted in a text content part." }, "all_results": "Retain the complete response and headers, original identifiers, every actual output and all usage/accounting fields. Save each unique owned asset and retain every role pointing to it.", "authentication": { "header": "Authorization", "scheme": "Bearer", "value": "$AILOOT_API_KEY" }, "errors": [ { "condition": "Medan wajib, pemilih model, jenis atau bentuk input tidak sah.", "http_status": 400, "recovery": "Semak butiran pengesahan yang dikembalikan sebelum menyediakan permintaan berasingan.", "type": "invalid_request_error" }, { "condition": "Permintaan atau hasil asal tidak diketahui atau memerlukan semakan.", "http_status": null, "recovery": "Simpan pengecam dan pengepala asal; baca hanya rekod status/pustaka yang disokong. Jangan hantar semula permintaan penciptaan.", "type": null } ], "lifecycle": { "cancel_endpoint": null, "create": { "http": "POST", "path": "/v1/chat/completions" }, "mode": "synchronous_or_streamed", "status": [], "unknown": "Simpan X-Client-Request-ID asal, respons dan pengepala. Hasil yang tidak diketahui atau result_pending_check tidak membenarkan penciptaan kedua.", "unknown_no_replay": true }, "material_combinations": [ { "materials": [ "text" ], "mode": "text_input", "required": [ "messages" ] }, { "condition": "Image content is carried by this protocol where the exact selected model supports vision. Protocol admission does not establish image capability for every model.", "materials": [ "text", "image" ], "mode": "image_with_text", "required": [ "messages with actual image content blocks" ] } ], "model_capability_scope": { "all_models_vision_claim": false, "manufacturer_description_preserved": "Retain grounded accepted legacy vision descriptions; a plain text example is not a capability ceiling.", "model_vision": "conditional_on_exact_model_capability", "transport_materials": [ "text", "image" ], "video_audio_inferred": false }, "outputs": { "all_results": "Simpan setiap blok kandungan, ID panggilan alat, tandatangan pemikiran apabila dikembalikan, semua delta SSE dan data penggunaan lengkap. Fragmen teks pertama bukan keseluruhan hasil.", "every_actual_output": true, "family": "text", "fields": [ { "name": "choices[]", "type": "object" }, { "name": "usage", "type": "object" } ], "format": "JSON or SSE" }, "parameters": [ { "conditions": "Gunakan pemilih penghalaan Ailoot ini tepat seperti yang dinyatakan.", "default_known": false, "enum": [ "qwen/qwen3-4b-fp8" ], "enum_known": true, "name": "model", "required": true, "type": "string" }, { "conditions": "", "default_known": false, "enum_known": false, "items": { "properties": { "content": { "oneOf": [ { "type": "string" }, { "items": { "oneOf": [ { "properties": { "text": { "type": "string" }, "type": { "const": "text" } }, "required": [ "type", "text" ], "type": "object" }, { "properties": { "image_url": { "properties": { "detail": { "type": "string" }, "url": { "type": "string" } }, "required": [ "url" ], "type": "object" }, "type": { "const": "image_url" } }, "required": [ "type", "image_url" ], "type": "object" } ] }, "type": "array" } ] }, "role": { "type": "string" } }, "required": [ "role", "content" ], "type": "object" }, "minItems": 1, "name": "messages", "required": true, "type": "array" }, { "conditions": "", "default": false, "default_known": true, "enum_known": false, "name": "stream", "required": false, "type": "boolean" } ], "request_schema": { "additionalProperties": true, "properties": { "messages": { "items": { "properties": { "content": { "oneOf": [ { "type": "string" }, { "items": { "oneOf": [ { "properties": { "text": { "type": "string" }, "type": { "const": "text" } }, "required": [ "type", "text" ], "type": "object" }, { "properties": { "image_url": { "properties": { "detail": { "type": "string" }, "url": { "type": "string" } }, "required": [ "url" ], "type": "object" }, "type": { "const": "image_url" } }, "required": [ "type", "image_url" ], "type": "object" } ] }, "type": "array" } ] }, "role": { "type": "string" } }, "required": [ "role", "content" ], "type": "object" }, "minItems": 1, "type": "array" }, "model": { "enum": [ "qwen/qwen3-4b-fp8" ], "type": "string" }, "stream": { "default": false, "type": "boolean" } }, "required": [ "model", "messages" ], "type": "object" }, "schema_template": { "actual_file_preparation_required": false, "body": { "messages": [ { "content": "Explain how a rainbow forms.", "role": "user" } ], "model": "qwen/qwen3-4b-fp8" }, "content_type": "application/json", "example_is_offline_content": true }, "usage": { "meter": "Use the accepted method price and actual recorded usage; the request reserve is an estimate. A billing unit does not add an input capability.", "preserve": "Keep all returned usage, accounting and request identifiers with every actual output.", "settlement": "Retain the original operation; reconcile its result and accounting once." } }, "input": { "conditions": [ "Gunakan pemilih penghalaan Ailoot ini tepat seperti yang dinyatakan.", "Protokol ini membawa kandungan imej jika model yang dipilih itu menyokong penglihatan. Penerimaan oleh protokol tidak membuktikan keupayaan imej bagi setiap model." ], "content_type": "application/json", "material_types": [ "text", "image" ], "optional": [ "stream" ], "required": [ "model", "messages" ] }, "lifecycle": { "cancel_endpoint": null, "create": { "http": "POST", "path": "/v1/chat/completions" }, "mode": "synchronous_or_streamed", "status": [], "unknown": "Keep the original X-Client-Request-ID, response and headers. An unknown or result_pending_check outcome does not authorize a second creation.", "unknown_no_replay": true }, "method": { "http": "POST", "path": "/v1/chat/completions" }, "method_aliases": [ "/chat/completions" ], "output": { "all_results": "Retain every content block, tool-call ID, thinking signature when returned, all SSE deltas and complete usage. A first text fragment is not the whole result.", "every_actual_output": true, "family": "text", "fields": [ { "name": "choices[]", "type": "object" }, { "name": "usage", "type": "object" } ], "format": "JSON or SSE" } }, "ctx": null, "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": "0", "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", "native_quantity": 1, "native_unit": "cached_input_token", "public_unit_label": "/ 1K tokens", "quantity": 1000, "quantity_is_estimate": false, "rate_role": "typed_native_retail_rate", "side": "in", "unit": "cached_input_token" }, { "amount": "0", "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "cache_write_price", "label": "Cache write", "native_amount_usd_per_unit": "0", "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\": \"qwen/qwen3-4b-fp8\", \"messages\": [{\"role\": \"user\", \"content\": \"Explain how a rainbow forms.\"}]}')\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", "http": "POST", "in": 0, "input": [ "text", "image" ], "input_conditions": { "image": "Image content is carried by this protocol where the exact selected model supports vision. Protocol admission does not establish image capability for every model." }, "label": "OpenAI Chat", "max_out": null, "max_reasoning_effort_multiplier": 1, "method_aliases": [ "/chat/completions" ], "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": "Kadar sifar untuk teks sahaja", "value": "Data cache, alat dan media tertakluk pada syarat harga masing-masing yang disenaraikan secara berasingan.", "when": "Untuk input dan output teks sahaja" } ], "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", "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": "0", "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", "native_quantity": 1, "native_unit": "cached_input_token", "public_unit_label": "/ 1K tokens", "quantity": 1000, "quantity_is_estimate": false, "rate_role": "typed_native_retail_rate", "side": "in", "unit": "cached_input_token" }, { "amount": "0", "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "cache_write_price", "label": "Cache write", "native_amount_usd_per_unit": "0", "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": "qwen/qwen3-4b-fp8", "route_label": "Ultra", "status_reads": [], "tiers": [], "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": "0", "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", "native_quantity": 1, "native_unit": "cached_input_token", "public_unit_label": "/ 1K tokens", "quantity": 1000, "quantity_is_estimate": false, "rate_role": "typed_native_retail_rate", "side": "in", "unit": "cached_input_token" }, { "amount": "0", "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "cache_write_price", "label": "Cache write", "native_amount_usd_per_unit": "0", "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": 0, "cache_write": 0, "cache_write_1h": null, "contract": { "data": { "accepted_material_guidance": { "content_type": "application/json", "example_scope": "The preserved text example is one valid request form, not the full protocol input set.", "image_condition": "Image content is carried by this protocol where the exact selected model supports vision. Protocol admission does not establish image capability for every model.", "material_types": [ "text", "image" ], "text_file_material": "Actual UTF-8 text can be inserted in a text content part." }, "all_results": "Retain the complete response and headers, original identifiers, every actual output and all usage/accounting fields. Save each unique owned asset and retain every role pointing to it.", "authentication": { "header": "Authorization", "scheme": "Bearer", "value": "$AILOOT_API_KEY" }, "errors": [ { "condition": "Medan wajib, pemilih model, jenis atau bentuk input tidak sah.", "http_status": 400, "recovery": "Semak butiran pengesahan yang dikembalikan sebelum menyediakan permintaan berasingan.", "type": "invalid_request_error" }, { "condition": "Permintaan atau hasil asal tidak diketahui atau memerlukan semakan.", "http_status": null, "recovery": "Simpan pengecam dan pengepala asal; baca hanya rekod status/pustaka yang disokong. Jangan hantar semula permintaan penciptaan.", "type": null } ], "lifecycle": { "cancel_endpoint": null, "create": { "http": "POST", "path": "/v1/messages" }, "mode": "synchronous_or_streamed", "status": [], "unknown": "Simpan X-Client-Request-ID asal, respons dan pengepala. Hasil yang tidak diketahui atau result_pending_check tidak membenarkan penciptaan kedua.", "unknown_no_replay": true }, "material_combinations": [ { "materials": [ "text" ], "mode": "text_input", "required": [ "messages" ] }, { "condition": "Image content is carried by this protocol where the exact selected model supports vision. Protocol admission does not establish image capability for every model.", "materials": [ "text", "image" ], "mode": "image_with_text", "required": [ "messages with actual image content blocks" ] } ], "model_capability_scope": { "all_models_vision_claim": false, "manufacturer_description_preserved": "Retain grounded accepted legacy vision descriptions; a plain text example is not a capability ceiling.", "model_vision": "conditional_on_exact_model_capability", "transport_materials": [ "text", "image" ], "video_audio_inferred": false }, "outputs": { "all_results": "Simpan setiap blok kandungan, ID panggilan alat, tandatangan pemikiran apabila dikembalikan, semua delta SSE dan data penggunaan lengkap. Fragmen teks pertama bukan keseluruhan hasil.", "every_actual_output": true, "family": "text", "fields": [ { "name": "content[]", "type": "object" }, { "name": "usage", "type": "object" } ], "format": "JSON or SSE" }, "parameters": [ { "conditions": "Gunakan pemilih penghalaan Ailoot ini tepat seperti yang dinyatakan.", "default_known": false, "enum": [ "qwen/qwen3-4b-fp8" ], "enum_known": true, "name": "model", "required": true, "type": "string" }, { "conditions": "", "default_known": false, "enum_known": false, "items": { "properties": { "content": { "oneOf": [ { "type": "string" }, { "items": { "oneOf": [ { "properties": { "text": { "type": "string" }, "type": { "const": "text" } }, "required": [ "type", "text" ], "type": "object" }, { "properties": { "source": { "oneOf": [ { "properties": { "type": { "const": "url" }, "url": { "type": "string" } }, "required": [ "type", "url" ], "type": "object" }, { "properties": { "data": { "type": "string" }, "media_type": { "type": "string" }, "type": { "const": "base64" } }, "required": [ "type", "media_type", "data" ], "type": "object" } ] }, "type": { "const": "image" } }, "required": [ "type", "source" ], "type": "object" } ] }, "type": "array" } ] }, "role": { "enum": [ "user", "assistant" ], "type": "string" } }, "required": [ "role", "content" ], "type": "object" }, "minItems": 1, "name": "messages", "required": true, "type": "array" }, { "conditions": "", "default": false, "default_known": true, "enum_known": false, "name": "stream", "required": false, "type": "boolean" }, { "conditions": "", "default_known": false, "enum_known": false, "minimum": 1, "name": "max_tokens", "required": true, "type": "integer" } ], "request_schema": { "additionalProperties": true, "properties": { "max_tokens": { "minimum": 1, "type": "integer" }, "messages": { "items": { "properties": { "content": { "oneOf": [ { "type": "string" }, { "items": { "oneOf": [ { "properties": { "text": { "type": "string" }, "type": { "const": "text" } }, "required": [ "type", "text" ], "type": "object" }, { "properties": { "source": { "oneOf": [ { "properties": { "type": { "const": "url" }, "url": { "type": "string" } }, "required": [ "type", "url" ], "type": "object" }, { "properties": { "data": { "type": "string" }, "media_type": { "type": "string" }, "type": { "const": "base64" } }, "required": [ "type", "media_type", "data" ], "type": "object" } ] }, "type": { "const": "image" } }, "required": [ "type", "source" ], "type": "object" } ] }, "type": "array" } ] }, "role": { "enum": [ "user", "assistant" ], "type": "string" } }, "required": [ "role", "content" ], "type": "object" }, "minItems": 1, "type": "array" }, "model": { "enum": [ "qwen/qwen3-4b-fp8" ], "type": "string" }, "stream": { "default": false, "type": "boolean" } }, "required": [ "model", "messages", "max_tokens" ], "type": "object" }, "schema_template": { "actual_file_preparation_required": false, "body": { "max_tokens": 256, "messages": [ { "content": "Explain how a rainbow forms.", "role": "user" } ], "model": "qwen/qwen3-4b-fp8" }, "content_type": "application/json", "example_is_offline_content": true }, "usage": { "meter": "Use the accepted method price and actual recorded usage; the request reserve is an estimate. A billing unit does not add an input capability.", "preserve": "Keep all returned usage, accounting and request identifiers with every actual output.", "settlement": "Retain the original operation; reconcile its result and accounting once." } }, "input": { "conditions": [ "Gunakan pemilih penghalaan Ailoot ini tepat seperti yang dinyatakan.", "Protokol ini membawa kandungan imej jika model yang dipilih itu menyokong penglihatan. Penerimaan oleh protokol tidak membuktikan keupayaan imej bagi setiap model." ], "content_type": "application/json", "material_types": [ "text", "image" ], "optional": [ "stream" ], "required": [ "model", "messages", "max_tokens" ] }, "lifecycle": { "cancel_endpoint": null, "create": { "http": "POST", "path": "/v1/messages" }, "mode": "synchronous_or_streamed", "status": [], "unknown": "Keep the original X-Client-Request-ID, response and headers. An unknown or result_pending_check outcome does not authorize a second creation.", "unknown_no_replay": true }, "method": { "http": "POST", "path": "/v1/messages" }, "method_aliases": [], "output": { "all_results": "Retain every content block, tool-call ID, thinking signature when returned, all SSE deltas and complete usage. A first text fragment is not the whole result.", "every_actual_output": true, "family": "text", "fields": [ { "name": "content[]", "type": "object" }, { "name": "usage", "type": "object" } ], "format": "JSON or SSE" } }, "ctx": null, "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": "0", "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", "native_quantity": 1, "native_unit": "cached_input_token", "public_unit_label": "/ 1K tokens", "quantity": 1000, "quantity_is_estimate": false, "rate_role": "typed_native_retail_rate", "side": "in", "unit": "cached_input_token" }, { "amount": "0", "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "cache_write_price", "label": "Cache write", "native_amount_usd_per_unit": "0", "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\": \"qwen/qwen3-4b-fp8\", \"messages\": [{\"role\": \"user\", \"content\": \"Explain how a rainbow forms.\"}], \"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", "in": 0, "input": [ "text", "image" ], "input_conditions": { "image": "Image content is carried by this protocol where the exact selected model supports vision. Protocol admission does not establish image capability for every model." }, "label": "Anthropic Messages", "max_out": null, "max_reasoning_effort_multiplier": 1, "method_aliases": [], "out": 0, "output": [ "json", "sse" ], "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": "Explicit cache pricing", "value": "Not enabled", "when": "When explicit cache is requested" }, { "label": "Kadar sifar untuk teks sahaja", "value": "Data cache, alat dan media tertakluk pada syarat harga masing-masing yang disenaraikan secara berasingan.", "when": "Untuk input dan output teks sahaja" } ], "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", "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": "0", "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", "native_quantity": 1, "native_unit": "cached_input_token", "public_unit_label": "/ 1K tokens", "quantity": 1000, "quantity_is_estimate": false, "rate_role": "typed_native_retail_rate", "side": "in", "unit": "cached_input_token" }, { "amount": "0", "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "cache_write_price", "label": "Cache write", "native_amount_usd_per_unit": "0", "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": "qwen/qwen3-4b-fp8", "route_label": "Ultra", "status_reads": [], "tiers": [], "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": "0", "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", "native_quantity": 1, "native_unit": "cached_input_token", "public_unit_label": "/ 1K tokens", "quantity": 1000, "quantity_is_estimate": false, "rate_role": "typed_native_retail_rate", "side": "in", "unit": "cached_input_token" }, { "amount": "0", "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "cache_write_price", "label": "Cache write", "native_amount_usd_per_unit": "0", "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": "qwen/qwen3-4b-fp8", "request_model_id": "qwen/qwen3-4b-fp8", "route_label": "Ultra" } ], "name": "qwen/qwen3-4b-fp8", "price": { "in": 0, "in_label": null, "out": 0, "out_label": null, "scope_label": "Token rates", "sort_in": 0, "sort_out": 0, "varies": false }, "short": "Qwen/Qwen3-4B-FP8 ialah edisi FP8 Qwen3-4B, profil model teks kompak untuk tugas bahasa berpandukan arahan.", "title": "qwen/qwen3-4b-fp8" }, "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": "Qwen/Qwen3-4B-FP8 ialah edisi FP8 Qwen3-4B, profil model teks kompak untuk tugas bahasa berpandukan arahan.", "source": { "audit_sha256": "2e00086bcbfc28e64d0cebe97aa47c17d8d5618963027f8ffb9dc6123d7d25b1", "bridge_map_sha256": "1125275768b9636fc8461bc7da5061239a81ddfe508e2557843ca42c58ab0036", "raw_model_json_sha256": "8ddf1d4b9a9f2e96ae0e912e4a25c9be840e0e70e74e8ebc0a4f2cc3da2c8de5", "renderer_sha256": "1dab5ba62521e9568c8b7c82005622cabbf330a075df7cce1f83274a04009460" }, "sourceRevision": "9185794bcac0ba976dd5661711aae63cb2f88532a67f4e96aac87ce574cd3775" }