{ "aboutHtml": "

Kod, hujjatlar va amallar rejasi

Claude Sonnet 4.6 dasturlash, katta kontekstni tushunish, agent rejalashtirishi, axborot bilan professional ishlash va dizaynni birlashtiradi. Anthropic o‘zgarishlardan oldin kodni o‘rganish va topshiriqning bir nechta qadami ustida izchil ishlash qobiliyatini ta’kidlaydi. Bu katta loyihadagi muammoni qidirish, uzun hujjatni tahlil qilish va hisobot mazmunini tayyorlashda foydali.

Model shartnomalar, tadqiqot ishlari va boshqa materiallardagi ma’lumotlarni bitta so‘rovda tahlil qilishi mumkin. Topshiriq faktlarni ajratib olish, ular asosida mulohaza yuritish va bir nechta qismni birlashtiradigan natijani shakllantirishni o‘z ichiga olishi mumkin. Tavsiflangan yo‘nalishlar orasida moliyaviy tahlil va kompozitsiya hamda bezatishga e’tibor bilan interfeys kodi yaratish ham bor.

Vizual muhitdagi amallar

Sonnet 4.6 matn va tasvirlarni tushunadi; uning o‘z natijasi — matn. Anthropic model skrinshot bo‘yicha yo‘nalish oladigan, sichqoncha va klaviatura amallarini tanlaydigan, murakkab jadval yoki veb-shakl qadamlarini tahlil qiladigan kompyuter ssenariylarini tavsiflaydi. Haqiqiy bajarish uchun ekranni uzatadigan va amallarni bajaradigan ilova vositalari zarur.

Ishlab chiqaruvchida oddiy vizual kirish formatlari: JPEG/PNG/GIF/WebP, animatsiyaning birinchi kadri. Nativ tahlilda: uzun tomon — 1568 piksel, 1568 vizual token; katta tasvirlar tahlildan oldin kichraytiriladi. Fayllar va parametrlarning qo‘llab-quvvatlanishi ilova metodiga bog‘liq.

Xuddi shuningdek, hujjatlar, jadvallar va taqdimotlar tahlil yoki mazmun tayyorlash mavzusi bo‘lishi mumkin, lekin tayyor faylni chiqarish mos muhitni talab qiladi. Tasvirlar grafiklar, sxemalar va materiallarning vizual tuzilishini tushunishga yordam beradi; bu modelni tasvir generatoriga aylantirmaydi.

Tahlil qanday boshqariladi

Bu versiya uchun adaptiv mulohaza yuritish va qo‘lda boshqariladigan extended thinking qo‘llab-quvvatlanadi. Qo‘lda boshqariladigan rejim eskirayotgan deb belgilangan; adaptiv rejim modelga qo‘shimcha tahlil, jumladan, vositalarga murojaatlar orasida qachon foydali ekanini tanlash imkonini beradi. effort darajalari — low, medium, high va max, standart daraja — high. Anthropic ma’lumotiga ko‘ra, sa’y-harakat darajasini tanlash ish batafsilligi va kechikishni topshiriq xususiyatiga moslashtirishga yordam beradi.

Joriy spetsifikatsiya 1 mln token kontekst va oddiy rejimda 128 ming tokengacha javobni belgilaydi. Davomli ish uchun ishlab chiqaruvchi eski kontekstni qisqa mazmunga tajribaviy siqishni ham tavsiflaydi. Bu funksiya ilova qo‘llab-quvvatlashini talab qiladi va model oynasi cheklovlarini bekor qilmaydi.

Ishda nimalarni hisobga olish kerak

Ichki bilimlarning ishonchli chegarasi — 2025-yil avgust. Keyingi ma’lumotlar uchun topshiriq materiallari yoki mavjud qidiruv kerak. Ulangan vositalar axborot qidirish, kod bajarish va topilgan mazmunni qayta ishlashga yordam berishi mumkin; ularning mavjudligi va ruxsat etilgan amallarni ilova belgilaydi.

Sonnet 4.6 begona materiallardagi yashirin zararli ko‘rsatmalarga qarshi turishga o‘rgatilgan, lekin murakkab vizual muhit va noaniq topshiriqlar baribir xatolarga olib kelishi mumkin. Topshiriqqa qo‘yilgan aniq talablar, ajratib olingan faktlarni tekshirish va amal natijasini baholash model bilan ishonchli ishlashning bir qismi bo‘lib qoladi.

", "aboutText": "### Kod, hujjatlar va amallar rejasi\n\nClaude Sonnet 4.6 dasturlash, katta kontekstni tushunish, agent rejalashtirishi, axborot bilan professional ishlash va dizaynni birlashtiradi. Anthropic o‘zgarishlardan oldin kodni o‘rganish va topshiriqning bir nechta qadami ustida izchil ishlash qobiliyatini ta’kidlaydi. Bu katta loyihadagi muammoni qidirish, uzun hujjatni tahlil qilish va hisobot mazmunini tayyorlashda foydali.\n\nModel shartnomalar, tadqiqot ishlari va boshqa materiallardagi ma’lumotlarni bitta so‘rovda tahlil qilishi mumkin. Topshiriq faktlarni ajratib olish, ular asosida mulohaza yuritish va bir nechta qismni birlashtiradigan natijani shakllantirishni o‘z ichiga olishi mumkin. Tavsiflangan yo‘nalishlar orasida moliyaviy tahlil va kompozitsiya hamda bezatishga e’tibor bilan interfeys kodi yaratish ham bor.\n\n### Vizual muhitdagi amallar\n\nSonnet 4.6 **matn va tasvirlarni** tushunadi; uning o‘z natijasi — **matn**. Anthropic model skrinshot bo‘yicha yo‘nalish oladigan, sichqoncha va klaviatura amallarini tanlaydigan, murakkab jadval yoki veb-shakl qadamlarini tahlil qiladigan kompyuter ssenariylarini tavsiflaydi. Haqiqiy bajarish uchun ekranni uzatadigan va amallarni bajaradigan ilova vositalari zarur.\n\nIshlab chiqaruvchida oddiy vizual kirish formatlari: JPEG/PNG/GIF/WebP, animatsiyaning birinchi kadri. Nativ tahlilda: uzun tomon — 1568 piksel, 1568 vizual token; katta tasvirlar tahlildan oldin kichraytiriladi. Fayllar va parametrlarning qo‘llab-quvvatlanishi ilova metodiga bog‘liq.\n\nXuddi shuningdek, hujjatlar, jadvallar va taqdimotlar tahlil yoki mazmun tayyorlash mavzusi bo‘lishi mumkin, lekin tayyor faylni chiqarish mos muhitni talab qiladi. Tasvirlar grafiklar, sxemalar va materiallarning vizual tuzilishini tushunishga yordam beradi; bu modelni tasvir generatoriga aylantirmaydi.\n\n### Tahlil qanday boshqariladi\n\nBu versiya uchun adaptiv mulohaza yuritish va qo‘lda boshqariladigan extended thinking qo‘llab-quvvatlanadi. Qo‘lda boshqariladigan rejim eskirayotgan deb belgilangan; adaptiv rejim modelga qo‘shimcha tahlil, jumladan, vositalarga murojaatlar orasida qachon foydali ekanini tanlash imkonini beradi. `effort` darajalari — `low`, `medium`, `high` va `max`, standart daraja — `high`. Anthropic ma’lumotiga ko‘ra, sa’y-harakat darajasini tanlash ish batafsilligi va kechikishni topshiriq xususiyatiga moslashtirishga yordam beradi.\n\nJoriy spetsifikatsiya **1 mln token kontekst** va **oddiy rejimda 128 ming tokengacha javob**ni belgilaydi. Davomli ish uchun ishlab chiqaruvchi eski kontekstni qisqa mazmunga tajribaviy siqishni ham tavsiflaydi. Bu funksiya ilova qo‘llab-quvvatlashini talab qiladi va model oynasi cheklovlarini bekor qilmaydi.\n\n### Ishda nimalarni hisobga olish kerak\n\nIchki bilimlarning ishonchli chegarasi — **2025-yil avgust**. Keyingi ma’lumotlar uchun topshiriq materiallari yoki mavjud qidiruv kerak. Ulangan vositalar axborot qidirish, kod bajarish va topilgan mazmunni qayta ishlashga yordam berishi mumkin; ularning mavjudligi va ruxsat etilgan amallarni ilova belgilaydi.\n\nSonnet 4.6 begona materiallardagi yashirin zararli ko‘rsatmalarga qarshi turishga o‘rgatilgan, lekin murakkab vizual muhit va noaniq topshiriqlar baribir xatolarga olib kelishi mumkin. Topshiriqqa qo‘yilgan aniq talablar, ajratib olingan faktlarni tekshirish va amal natijasini baholash model bilan ishonchli ishlashning bir qismi bo‘lib qoladi.", "editorialOverlay": { "copy_fields": null, "copy_sha256": null, "copy_source": null, "html_sha256": "6bb973eacf13e7394a6d05aaf97a47dd95fc58368b67cbaf3278cf380677eed7", "module_sha256": "ee9dc1c50b1e6a8fb7fa062030fcb4646b9aaaeb08be513b723a5a92a7290f06", "raw_model_unchanged": true, "schema": "ailoot-native-model-editorial-v1" }, "locale": "uz", "methods": [ { "html": "
A

Anthropic: Claude Sonnet 4.6

Anthropic /claude-sonnet-4-6-thinking

Boshlash

Claude Sonnet 4.6 dasturlash, uzun hujjatlarni tushunish, rejalashtirish va vizual ma’lumotli vazifalarda yordam beradi. Adaptiv mulohaza yuritish va vositalar bilan ko‘p bosqichli ishlashni qo‘llab-quvvatlaydi.

Qabul qilinadigan kirish ma’lumotlari
Matn
Natijalar
Matn
Model haqida

Bu tavsif model imkoniyatlarini yoritadi. Ailoot da tanlangan usul uchun mavjud kirish, chiqish va parametrlar quyida keltirilgan.

Kod, hujjatlar va amallar rejasi

Claude Sonnet 4.6 dasturlash, katta kontekstni tushunish, agent rejalashtirishi, axborot bilan professional ishlash va dizaynni birlashtiradi. Anthropic o‘zgarishlardan oldin kodni o‘rganish va topshiriqning bir nechta qadami ustida izchil ishlash qobiliyatini ta’kidlaydi. Bu katta loyihadagi muammoni qidirish, uzun hujjatni tahlil qilish va hisobot mazmunini tayyorlashda foydali.

Model shartnomalar, tadqiqot ishlari va boshqa materiallardagi ma’lumotlarni bitta so‘rovda tahlil qilishi mumkin. Topshiriq faktlarni ajratib olish, ular asosida mulohaza yuritish va bir nechta qismni birlashtiradigan natijani shakllantirishni o‘z ichiga olishi mumkin. Tavsiflangan yo‘nalishlar orasida moliyaviy tahlil va kompozitsiya hamda bezatishga e’tibor bilan interfeys kodi yaratish ham bor.

Vizual muhitdagi amallar

Sonnet 4.6 matn va tasvirlarni tushunadi; uning o‘z natijasi — matn. Anthropic model skrinshot bo‘yicha yo‘nalish oladigan, sichqoncha va klaviatura amallarini tanlaydigan, murakkab jadval yoki veb-shakl qadamlarini tahlil qiladigan kompyuter ssenariylarini tavsiflaydi. Haqiqiy bajarish uchun ekranni uzatadigan va amallarni bajaradigan ilova vositalari zarur.

Ishlab chiqaruvchida oddiy vizual kirish formatlari: JPEG/PNG/GIF/WebP, animatsiyaning birinchi kadri. Nativ tahlilda: uzun tomon — 1568 piksel, 1568 vizual token; katta tasvirlar tahlildan oldin kichraytiriladi. Fayllar va parametrlarning qo‘llab-quvvatlanishi ilova metodiga bog‘liq.

Xuddi shuningdek, hujjatlar, jadvallar va taqdimotlar tahlil yoki mazmun tayyorlash mavzusi bo‘lishi mumkin, lekin tayyor faylni chiqarish mos muhitni talab qiladi. Tasvirlar grafiklar, sxemalar va materiallarning vizual tuzilishini tushunishga yordam beradi; bu modelni tasvir generatoriga aylantirmaydi.

Tahlil qanday boshqariladi

Bu versiya uchun adaptiv mulohaza yuritish va qo‘lda boshqariladigan extended thinking qo‘llab-quvvatlanadi. Qo‘lda boshqariladigan rejim eskirayotgan deb belgilangan; adaptiv rejim modelga qo‘shimcha tahlil, jumladan, vositalarga murojaatlar orasida qachon foydali ekanini tanlash imkonini beradi. effort darajalari — low, medium, high va max, standart daraja — high. Anthropic ma’lumotiga ko‘ra, sa’y-harakat darajasini tanlash ish batafsilligi va kechikishni topshiriq xususiyatiga moslashtirishga yordam beradi.

Joriy spetsifikatsiya 1 mln token kontekst va oddiy rejimda 128 ming tokengacha javobni belgilaydi. Davomli ish uchun ishlab chiqaruvchi eski kontekstni qisqa mazmunga tajribaviy siqishni ham tavsiflaydi. Bu funksiya ilova qo‘llab-quvvatlashini talab qiladi va model oynasi cheklovlarini bekor qilmaydi.

Ishda nimalarni hisobga olish kerak

Ichki bilimlarning ishonchli chegarasi — 2025-yil avgust. Keyingi ma’lumotlar uchun topshiriq materiallari yoki mavjud qidiruv kerak. Ulangan vositalar axborot qidirish, kod bajarish va topilgan mazmunni qayta ishlashga yordam berishi mumkin; ularning mavjudligi va ruxsat etilgan amallarni ilova belgilaydi.

Sonnet 4.6 begona materiallardagi yashirin zararli ko‘rsatmalarga qarshi turishga o‘rgatilgan, lekin murakkab vizual muhit va noaniq topshiriqlar baribir xatolarga olib kelishi mumkin. Topshiriqqa qo‘yilgan aniq talablar, ajratib olingan faktlarni tekshirish va amal natijasini baholash model bilan ishonchli ishlashning bir qismi bo‘lib qoladi.

Ailoot da mavjud · kirish ma’lumotlari va usullar

Ailoot Ultra · OpenAI Chat POST /v1/chat/completions
Kirish
text
Chiqish
text
Chiqish formati
json yoki SSE
MaydonTurTalabQiymatlar va cheklovlarStandart
MaydonmodelTurstringTalabMajburiyQiymatlar va cheklovlar
claude-sonnet-4-6-thinking
Standart—
MaydonmessagesTurmessage[]TalabMajburiyQiymatlar va cheklovlar
Elementlarning eng kam soni: 1
Standart—
Maydonmessages[].roleTurstringTalabMajburiyQiymatlar va cheklovlar
Modelga bogʻliq
Standart—
Maydonmessages[].contentTurstringTalabIxtiyoriyQiymatlar va cheklovlar
Quyidagi holatda qo‘llanadi: Matnli suhbat
Standart—
MaydonstreamTurbooleanTalabIxtiyoriyQiymatlar va cheklovlarStandartfalse
Kirish materiallari birikmalari

Matn · UTF8 matni

messages[].content

Usul parametrlari va hayot sikli
ParametrParametr talablari
Parametrcontent_typeParametr talablariapplication/json
ParametrrequiredParametr talablarimodel, messages
Parametrmaterial_typesParametr talablaritext
ParametrmessagesParametr talablarirole/content tuzilishidagi xabarlar massivi
Parametrfile_materialParametr talablariHaqiqiy UTF-8 hujjati aynan matn sifatida kiritiladi; fayl IDsi faraz qilinmaydi
Parametroptional_controlsParametr talablaristream
Parametrcontrol_scopeParametr talablariMatnli suhbat; stream mantiqiy qiymat bo‘lib, standart holatda false.
Parametroutput_modalitiesParametr talablaritext
Parametrhosted_operationsParametr talablarifalse
Parametrmultimodal_input_bindingParametr talablarinull

Usul taxalluslari: /chat/completions

Hayot sikli: synchronous_or_streamed

Aniq model IDsini messages bilan yuboring.

Kontekst uzunligi chiqishning yuqori chegarasi emas.

Matn fayli aynan matnni taqdim etishi mumkin; tasvir, audio va fayl obyekti kirishlari aniq bog‘lashni talab qiladi.

Tariflar

Tarif ma’lumotlari so‘rov imkoniyatlarini qo‘shmaydi. Qo‘llab-quvvatlanadigan parametrlar tanlangan usulda ko‘rsatilgan.

Tezkor rejim
Ko‘rsatilmagan Tezkor rejim tanlanganda
Flex rejimi
Ko‘rsatilmagan flex rejimi tanlanganda
Maksimal fikrlash darajasi
Ko‘rsatilmagan Maksimal fikrlash darajasi uchun standart (default) tuzatish qo‘llanganda

Ailoot tariflari

Sozlamalar bo‘yicha narxlar

SozlamaTariflar jadvaliTo‘lov
SozlamaTokenlar uchun bazaviy tariflarTariflar jadvaliAsosiy tarifTo‘lov
Kirish · Kirish tokenlari $0.006 / 1K token
Chiqish · Chiqish tokenlari $0.03 / 1K token
Kirish · Keshdan o‘qish $0.0006 / 1K token
Kirish · Keshga yozish $0.0075 / 1K token
Kirish · Keshga yozish, 1 soat — / 1K token

Ailoot so‘rovdan oldin taxminiy summani band qiladi. Natijadan keyin o‘lchangan sarf asosidagi yakuniy to‘lovni yechadi. Oqimli javob bo‘yicha yakuniy hisob-kitob yakuniy sarf yozuviga asoslanadi. Summani band qilish va to‘lovni hisoblash tartibi →

So‘rov namunalari

Ailoot Ultra · OpenAI Chat

set -eu\n: "${AILOOT_API_KEY:?Set your Ailoot API key}"\npython3 - <<'PY_REQUEST'\nimport json,os\nfrom pathlib import Path\np=json.loads('{"model":"claude-sonnet-4-6-thinking","messages":[{"role":"user","content":"hello"}],"stream":false}')\n\nPath("request.json").write_text(json.dumps(p,ensure_ascii=False))\nPY_REQUEST\ncurl --fail-with-body --silent --show-error https://api.ailoot.ai/v1/chat/completions \\\n  -H "Authorization: Bearer $AILOOT_API_KEY" -H 'Content-Type: application/json' \\\n  --data-binary @request.json -D response-headers.txt -o result.json\npython3 - <<'PY_RESULT'\nimport json\nfrom pathlib import Path\nr=json.loads(Path("result.json").read_text())\nfor x in r.get("choices",[]):\n    if x.get("message",{}).get("content"): print(x["message"]["content"])\nPY_RESULT\n

Natijalarni olish va saqlash

Ailoot Ultra · OpenAI Chat

json yoki SSE

Barcha tayyor natijalarni saqlash

Qaytarilgan har bir to‘liq javob, fayl va kontent qismini saqlang.

Har bir javob variantini va uning kontenti, vosita chaqiruvlari hamda fikrlash ma’lumotlarini saqlang. SSEda o‘zgarish qismlarini variant va vosita indeksi bo‘yicha yig‘ing, yakuniy tugash sababi va sarf ma’lumotlarini saqlang.

Asl javobni tekshirish kerak bo‘lsa

So‘rov va javob IDlari hamda sarlavhalarini saqlang. Matn vazifasini olish uchun umumiy URL taqdim etilmagan.

Javob maydonlari
MaydonTur
Maydonchoices[].indexTurinteger
Maydonchoices[].message.contentTurstring|null
Maydonchoices[].message.tool_callsTurtool_call[]
Maydonchoices[].message.reasoning_contentTurstring
Maydonchoices[].message.reasoning_detailsTurobject|array
Maydonchoices[].finish_reasonTurstring|null
MaydonusageTurobject
Xatolar va keyingi qadamlar
JavobShartKeyingi qadam
Javob400 · invalid_request_errorShartMajburiy maydonlar, material ifodasi yoki parametr qiymati noto‘g‘riKeyingi qadamYangi yaratish so‘rovidan oldin ko‘rsatilgan maydonlarni tuzating.

Taxalluslar

Model taxalluslari

Ailoot Ultra claude-sonnet-4-6-thinking

Usul yo‘llari taxalluslari

/chat/completions

Chaqirish uchun tegishli ID lar

claude-sonnet-4-6-thinking

", "method_identity": { "effective_request_model_id": "claude-sonnet-4-6-thinking", "fmt": "chat", "http": "POST", "path": "/v1/chat/completions", "request_model_id": "claude-sonnet-4-6-thinking", "route_label": "Ultra" }, "method_key": "Ultra|chat|/v1/chat/completions|claude-sonnet-4-6-thinking", "ordinal": 0, "rawMethod": { "available": null, "cache_read": 0.6, "cache_write": 7.5, "cache_write_1h": null, "contract": { "data": { "all_results": "Keep every choice and its content/tool calls/reasoning. In SSE assemble deltas by choice/tool index, retain the final finish reason and usage.", "authentication": { "api_key_source": "AILOOT_API_KEY", "header": "Authorization: Bearer" }, "errors": [ { "code": null, "condition": "Majburiy maydonlar, material ifodasi yoki parametr qiymati noto‘g‘ri", "http_status": 400, "recovery": "Yangi yaratish so‘rovidan oldin ko‘rsatilgan maydonlarni tuzating.", "type": "invalid_request_error" } ], "hints": [ "Model context is not an output cap.", "Send the conversation as text messages. Stream must be a boolean; omitted stream defaults to false." ], "ignored_fields": [], "lifecycle": { "create": { "http": "POST", "path": "/v1/chat/completions" }, "job_read": null, "mode": "synchronous_or_streamed", "unknown": "So‘rov va javob IDlari hamda sarlavhalarini saqlang. Matn vazifasini olish uchun umumiy URL taqdim etilmagan." }, "material_combinations": [ { "mode": "text", "representation": "messages[].content", "required_material": "UTF8 matni" } ], "operation_modes": [ "conversation" ], "outputs": { "all_results": "Har bir javob variantini va uning kontenti, vosita chaqiruvlari hamda fikrlash ma’lumotlarini saqlang. SSEda o‘zgarish qismlarini variant va vosita indeksi bo‘yicha yig‘ing, yakuniy tugash sababi va sarf ma’lumotlarini saqlang.", "family": "text", "fields": [ { "description": null, "name": "choices[].index", "type": "integer" }, { "description": null, "name": "choices[].message.content", "type": "string|null" }, { "description": null, "name": "choices[].message.tool_calls", "type": "tool_call[]" }, { "description": null, "name": "choices[].message.reasoning_content", "type": "string" }, { "description": null, "name": "choices[].message.reasoning_details", "type": "object|array" }, { "description": null, "name": "choices[].finish_reason", "type": "string|null" }, { "description": null, "name": "usage", "type": "object" } ], "format": "json yoki SSE" }, "parameters": [ { "availability": "source_interface", "default": null, "default_known": false, "enum": [ "claude-sonnet-4-6-thinking" ], "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": "messages", "required": true, "type": "message[]" }, { "availability": "model_dependent", "default": null, "default_known": false, "enum": null, "enum_known": false, "name": "messages[].role", "required": true, "type": "string" }, { "availability": "source_interface", "default": null, "default_known": false, "enum": null, "enum_known": false, "name": "messages[].content", "required": false, "type": "string", "when": "Matnli suhbat" }, { "availability": "source_interface", "default": false, "default_known": true, "enum": null, "enum_known": false, "name": "stream", "required": false, "type": "boolean" } ], "profile_binding": "Text conversation at the exact model ID and method path.", "unsupported": [ "additional models/models list", "plugins", "route", "hosted tools; ordinary client function tools remain separate", "non-text output modalities", "provider.options overrides", "one-hour prompt-cache TTL" ] }, "hints": [ "Aniq model IDsini messages bilan yuboring.", "Kontekst uzunligi chiqishning yuqori chegarasi emas.", "Matn fayli aynan matnni taqdim etishi mumkin; tasvir, audio va fayl obyekti kirishlari aniq bog‘lashni talab qiladi." ], "input": { "content_type": "application/json", "control_scope": "Matnli suhbat; stream mantiqiy qiymat bo‘lib, standart holatda false.", "file_material": "Haqiqiy UTF-8 hujjati aynan matn sifatida kiritiladi; fayl IDsi faraz qilinmaydi", "hosted_operations": false, "material_types": [ "text" ], "messages": "role/content tuzilishidagi xabarlar massivi", "multimodal_input_binding": null, "optional_controls": [ "stream" ], "output_modalities": [ "text" ], "required": [ "model", "messages" ] }, "lifecycle": { "mode": "synchronous_or_streamed", "unknown": "preserve original request id; no generic chat job retrieval path" }, "manufacturer_capability": null, "method": { "http": "POST", "path": "/v1/chat/completions" }, "method_aliases": [ "/chat/completions" ], "operation_modes": [ "text_chat" ], "output": { "content": "choices[].message.content or stream delta", "family": "text", "format": "json or supported SSE", "tool_calls": "retain actual returned function calls" } }, "ctx": null, "declared_pricing_profiles": [ { "dimensions": { "regime": "base" }, "label": "Tokenlar uchun bazaviy tariflar", "units": [ { "amount": "0.006000", "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "input_price", "label": "Input tokens", "native_amount_usd_per_unit": "0.000006", "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": "0.03000", "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "output_price", "label": "Output tokens", "native_amount_usd_per_unit": "0.00003", "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": "0.0006000", "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "cache_read_price", "label": "Cache read", "native_amount_usd_per_unit": "0.0000006", "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": "0.0075000", "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "cache_write_price", "label": "Cache write", "native_amount_usd_per_unit": "0.0000075", "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,os\nfrom pathlib import Path\np=json.loads('{\"model\":\"claude-sonnet-4-6-thinking\",\"messages\":[{\"role\":\"user\",\"content\":\"hello\"}],\"stream\":false}')\n\nPath(\"request.json\").write_text(json.dumps(p,ensure_ascii=False))\nPY_REQUEST\ncurl --fail-with-body --silent --show-error https://api.ailoot.ai/v1/chat/completions \\\n -H \"Authorization: Bearer $AILOOT_API_KEY\" -H 'Content-Type: application/json' \\\n --data-binary @request.json -D response-headers.txt -o result.json\npython3 - <<'PY_RESULT'\nimport json\nfrom pathlib import Path\nr=json.loads(Path(\"result.json\").read_text())\nfor x in r.get(\"choices\",[]):\n if x.get(\"message\",{}).get(\"content\"): print(x[\"message\"][\"content\"])\nPY_RESULT\n", "label": "curl · retained exact creation", "language": "bash" }, { "code": "from openai import OpenAI\nimport os\n\nif not os.environ.get(\"AILOOT_API_KEY\", \"\").strip(): raise SystemExit(\"Set AILOOT_API_KEY before making a request\")\nclient=OpenAI(base_url=\"https://api.ailoot.ai/v1\",api_key=os.environ[\"AILOOT_API_KEY\"],max_retries=0)\nresult=client.chat.completions.create(model=\"claude-sonnet-4-6-thinking\", messages=[{\"role\":\"user\",\"content\":\"hello\"}], stream=False)\nimport base64, json\nfrom pathlib import Path\n\ndef save_result(data, stem=\"result\"):\n # Keep every field, including usage, IDs, reasoning and tool requests.\n Path(stem + \".json\").write_text(json.dumps(data, ensure_ascii=False, indent=2), encoding=\"utf-8\")\n print(json.dumps(data, ensure_ascii=False, indent=2))\n def save_blob(encoded, suffix, label):\n raw = base64.b64decode(encoded, altchars=b\"-_\", validate=True)\n ext = \"png\" if raw.startswith(b\"\\x89PNG\\r\\n\\x1a\\n\") else \"jpg\" if raw.startswith(b\"\\xff\\xd8\") else \"webp\" if raw[:4] == b\"RIFF\" and raw[8:12] == b\"WEBP\" else suffix\n file = Path(stem + \"-\" + label + \".\" + ext)\n file.write_bytes(raw)\n print(\"Saved\", file)\n for index, block in enumerate(data.get(\"content\") or []):\n print(\"Content\", index, json.dumps(block, ensure_ascii=False))\n for choice in data.get(\"choices\") or []:\n print(\"Choice\", choice.get(\"index\"), json.dumps(choice.get(\"message\", choice.get(\"delta\", {})), ensure_ascii=False))\n for index, item in enumerate(data.get(\"output\") or []):\n print(\"Output\", index, json.dumps(item, ensure_ascii=False))\n if item.get(\"type\") == \"image_generation_call\" and item.get(\"result\"):\n save_blob(item[\"result\"], item.get(\"output_format\") or \"bin\", \"output-\" + str(index))\n for ci, candidate in enumerate(data.get(\"candidates\") or []):\n for pi, part in enumerate((candidate.get(\"content\") or {}).get(\"parts\") or []):\n print(\"Candidate/part\", ci, pi, json.dumps(part, ensure_ascii=False))\n blob = part.get(\"inlineData\") or part.get(\"inline_data\")\n if blob and blob.get(\"data\"):\n mime = blob.get(\"mimeType\") or blob.get(\"mime_type\")\n suffix = {\"image/png\":\"png\", \"image/jpeg\":\"jpg\", \"image/webp\":\"webp\", \"audio/wav\":\"wav\", \"audio/mpeg\":\"mp3\", \"video/mp4\":\"mp4\"}.get(mime, \"bin\")\n save_blob(blob[\"data\"], suffix, \"candidate-\" + str(ci) + \"-part-\" + str(pi))\n\nsave_result(result.to_dict(mode=\"json\"))\n", "label": "Python SDK · all choices", "language": "python" } ], "family": "openai", "fast_multiplier": null, "flex_multiplier": null, "fmt": "chat", "hints": [ "Send exact model ID with messages.", "Context length is not an output cap.", "A text file may supply literal text; image/audio/file-object inputs need exact binding." ], "http": "POST", "in": 6, "input": [ "text" ], "label": "OpenAI Chat", "max_out": null, "max_reasoning_effort_multiplier": null, "method_aliases": [ "/chat/completions" ], "out": 30, "output": [ "text" ], "path": "/v1/chat/completions", "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" } ], "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": "0.006000", "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "input_price", "label": "Input tokens", "native_amount_usd_per_unit": "0.000006", "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": "0.03000", "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "output_price", "label": "Output tokens", "native_amount_usd_per_unit": "0.00003", "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": "0.0006000", "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "cache_read_price", "label": "Cache read", "native_amount_usd_per_unit": "0.0000006", "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": "0.0075000", "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "cache_write_price", "label": "Cache write", "native_amount_usd_per_unit": "0.0000075", "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": "claude-sonnet-4-6-thinking", "route_label": "Ultra", "status_reads": [], "tiers": [], "units": [ { "amount": "0.006000", "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "input_price", "label": "Input tokens", "native_amount_usd_per_unit": "0.000006", "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": "0.03000", "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "output_price", "label": "Output tokens", "native_amount_usd_per_unit": "0.00003", "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": "0.0006000", "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "cache_read_price", "label": "Cache read", "native_amount_usd_per_unit": "0.0000006", "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": "0.0075000", "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "cache_write_price", "label": "Cache write", "native_amount_usd_per_unit": "0.0000075", "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": "claude-sonnet-4-6-thinking", "nativeProvenance": { "input_facts_canonical_sha256": "b3bdd09630d32a4d93ea3e2062b2cfda03cf7ddefebaa95528bda263785053da", "input_html_sha256": "17f1ab3161e6a1676c3f098aa32a7e2c31be00a2d6540e463d5e6e89a9c478cb", "private_audit_sha256": "fedafa76a55835befd64a5594a0c14590767d39807030f8f0b230ddf51eff617", "role": "historical-normalized-input-audit-hashes", "schema": "ailoot-native-model-provenance-v2" }, "page": { "canonical": "https://ailoot.ai/models/uz/claude-sonnet-4-6-thinking/", "description": "Claude Sonnet 4.6 dasturlash, uzun hujjatlarni tushunish, rejalashtirish va vizual ma’lumotli vazifalarda yordam beradi. Adaptiv mulohaza yuritish va vositalar bilan ko‘p bosqichli ishlashni qo‘llab-quvvatlaydi.", "locale": "uz", "md_url": "https://ailoot.ai/models/uz/claude-sonnet-4-6-thinking/index.md", "title": "Anthropic: Claude Sonnet 4.6 — Ailoot", "url": "https://ailoot.ai/models/uz/claude-sonnet-4-6-thinking/" }, "rawModel": { "about": "### Kod, hujjatlar va amallar rejasi\n\nClaude Sonnet 4.6 dasturlash, katta kontekstni tushunish, agent rejalashtirishi, axborot bilan professional ishlash va dizaynni birlashtiradi. Anthropic o‘zgarishlardan oldin kodni o‘rganish va topshiriqning bir nechta qadami ustida izchil ishlash qobiliyatini ta’kidlaydi. Bu katta loyihadagi muammoni qidirish, uzun hujjatni tahlil qilish va hisobot mazmunini tayyorlashda foydali.\n\nModel shartnomalar, tadqiqot ishlari va boshqa materiallardagi ma’lumotlarni bitta so‘rovda tahlil qilishi mumkin. Topshiriq faktlarni ajratib olish, ular asosida mulohaza yuritish va bir nechta qismni birlashtiradigan natijani shakllantirishni o‘z ichiga olishi mumkin. Tavsiflangan yo‘nalishlar orasida moliyaviy tahlil va kompozitsiya hamda bezatishga e’tibor bilan interfeys kodi yaratish ham bor.\n\n### Vizual muhitdagi amallar\n\nSonnet 4.6 **matn va tasvirlarni** tushunadi; uning o‘z natijasi — **matn**. Anthropic model skrinshot bo‘yicha yo‘nalish oladigan, sichqoncha va klaviatura amallarini tanlaydigan, murakkab jadval yoki veb-shakl qadamlarini tahlil qiladigan kompyuter ssenariylarini tavsiflaydi. Haqiqiy bajarish uchun ekranni uzatadigan va amallarni bajaradigan ilova vositalari zarur.\n\nIshlab chiqaruvchida oddiy vizual kirish formatlari: JPEG/PNG/GIF/WebP, animatsiyaning birinchi kadri. Nativ tahlilda: uzun tomon — 1568 piksel, 1568 vizual token; katta tasvirlar tahlildan oldin kichraytiriladi. Fayllar va parametrlarning qo‘llab-quvvatlanishi ilova metodiga bog‘liq.\n\nXuddi shuningdek, hujjatlar, jadvallar va taqdimotlar tahlil yoki mazmun tayyorlash mavzusi bo‘lishi mumkin, lekin tayyor faylni chiqarish mos muhitni talab qiladi. Tasvirlar grafiklar, sxemalar va materiallarning vizual tuzilishini tushunishga yordam beradi; bu modelni tasvir generatoriga aylantirmaydi.\n\n### Tahlil qanday boshqariladi\n\nBu versiya uchun adaptiv mulohaza yuritish va qo‘lda boshqariladigan extended thinking qo‘llab-quvvatlanadi. Qo‘lda boshqariladigan rejim eskirayotgan deb belgilangan; adaptiv rejim modelga qo‘shimcha tahlil, jumladan, vositalarga murojaatlar orasida qachon foydali ekanini tanlash imkonini beradi. `effort` darajalari — `low`, `medium`, `high` va `max`, standart daraja — `high`. Anthropic ma’lumotiga ko‘ra, sa’y-harakat darajasini tanlash ish batafsilligi va kechikishni topshiriq xususiyatiga moslashtirishga yordam beradi.\n\nJoriy spetsifikatsiya **1 mln token kontekst** va **oddiy rejimda 128 ming tokengacha javob**ni belgilaydi. Davomli ish uchun ishlab chiqaruvchi eski kontekstni qisqa mazmunga tajribaviy siqishni ham tavsiflaydi. Bu funksiya ilova qo‘llab-quvvatlashini talab qiladi va model oynasi cheklovlarini bekor qilmaydi.\n\n### Ishda nimalarni hisobga olish kerak\n\nIchki bilimlarning ishonchli chegarasi — **2025-yil avgust**. Keyingi ma’lumotlar uchun topshiriq materiallari yoki mavjud qidiruv kerak. Ulangan vositalar axborot qidirish, kod bajarish va topilgan mazmunni qayta ishlashga yordam berishi mumkin; ularning mavjudligi va ruxsat etilgan amallarni ilova belgilaydi.\n\nSonnet 4.6 begona materiallardagi yashirin zararli ko‘rsatmalarga qarshi turishga o‘rgatilgan, lekin murakkab vizual muhit va noaniq topshiriqlar baribir xatolarga olib kelishi mumkin. Topshiriqqa qo‘yilgan aniq talablar, ajratib olingan faktlarni tekshirish va amal natijasini baholash model bilan ishonchli ishlashning bir qismi bo‘lib qoladi.", "alias_of": null, "aliases": [], "author": "Anthropic", "capabilities": { "context_length": 1000000, "manufacturer_input": [ "text", "image", "file" ], "manufacturer_output": [ "text" ] }, "card_routes": [ { "label": "Ultra", "rates": [ { "amount": "0.006000", "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "input_price", "label": "Input tokens", "native_amount_usd_per_unit": "0.000006", "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": "0.03000", "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "output_price", "label": "Output tokens", "native_amount_usd_per_unit": "0.00003", "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": "Konfiguratsiya narxlari tafsilotlarda to‘liq ko‘rsatilgan." } ], "ctx": null, "formats": [ "chat" ], "id": "claude-sonnet-4-6-thinking", "input": [ "text" ], "kind": "text", "max_out": null, "methods": [ { "available": null, "cache_read": 0.6, "cache_write": 7.5, "cache_write_1h": null, "contract": { "data": { "all_results": "Keep every choice and its content/tool calls/reasoning. In SSE assemble deltas by choice/tool index, retain the final finish reason and usage.", "authentication": { "api_key_source": "AILOOT_API_KEY", "header": "Authorization: Bearer" }, "errors": [ { "code": null, "condition": "Majburiy maydonlar, material ifodasi yoki parametr qiymati noto‘g‘ri", "http_status": 400, "recovery": "Yangi yaratish so‘rovidan oldin ko‘rsatilgan maydonlarni tuzating.", "type": "invalid_request_error" } ], "hints": [ "Model context is not an output cap.", "Send the conversation as text messages. Stream must be a boolean; omitted stream defaults to false." ], "ignored_fields": [], "lifecycle": { "create": { "http": "POST", "path": "/v1/chat/completions" }, "job_read": null, "mode": "synchronous_or_streamed", "unknown": "So‘rov va javob IDlari hamda sarlavhalarini saqlang. Matn vazifasini olish uchun umumiy URL taqdim etilmagan." }, "material_combinations": [ { "mode": "text", "representation": "messages[].content", "required_material": "UTF8 matni" } ], "operation_modes": [ "conversation" ], "outputs": { "all_results": "Har bir javob variantini va uning kontenti, vosita chaqiruvlari hamda fikrlash ma’lumotlarini saqlang. SSEda o‘zgarish qismlarini variant va vosita indeksi bo‘yicha yig‘ing, yakuniy tugash sababi va sarf ma’lumotlarini saqlang.", "family": "text", "fields": [ { "description": null, "name": "choices[].index", "type": "integer" }, { "description": null, "name": "choices[].message.content", "type": "string|null" }, { "description": null, "name": "choices[].message.tool_calls", "type": "tool_call[]" }, { "description": null, "name": "choices[].message.reasoning_content", "type": "string" }, { "description": null, "name": "choices[].message.reasoning_details", "type": "object|array" }, { "description": null, "name": "choices[].finish_reason", "type": "string|null" }, { "description": null, "name": "usage", "type": "object" } ], "format": "json yoki SSE" }, "parameters": [ { "availability": "source_interface", "default": null, "default_known": false, "enum": [ "claude-sonnet-4-6-thinking" ], "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": "messages", "required": true, "type": "message[]" }, { "availability": "model_dependent", "default": null, "default_known": false, "enum": null, "enum_known": false, "name": "messages[].role", "required": true, "type": "string" }, { "availability": "source_interface", "default": null, "default_known": false, "enum": null, "enum_known": false, "name": "messages[].content", "required": false, "type": "string", "when": "Matnli suhbat" }, { "availability": "source_interface", "default": false, "default_known": true, "enum": null, "enum_known": false, "name": "stream", "required": false, "type": "boolean" } ], "profile_binding": "Text conversation at the exact model ID and method path.", "unsupported": [ "additional models/models list", "plugins", "route", "hosted tools; ordinary client function tools remain separate", "non-text output modalities", "provider.options overrides", "one-hour prompt-cache TTL" ] }, "hints": [ "Aniq model IDsini messages bilan yuboring.", "Kontekst uzunligi chiqishning yuqori chegarasi emas.", "Matn fayli aynan matnni taqdim etishi mumkin; tasvir, audio va fayl obyekti kirishlari aniq bog‘lashni talab qiladi." ], "input": { "content_type": "application/json", "control_scope": "Matnli suhbat; stream mantiqiy qiymat bo‘lib, standart holatda false.", "file_material": "Haqiqiy UTF-8 hujjati aynan matn sifatida kiritiladi; fayl IDsi faraz qilinmaydi", "hosted_operations": false, "material_types": [ "text" ], "messages": "role/content tuzilishidagi xabarlar massivi", "multimodal_input_binding": null, "optional_controls": [ "stream" ], "output_modalities": [ "text" ], "required": [ "model", "messages" ] }, "lifecycle": { "mode": "synchronous_or_streamed", "unknown": "preserve original request id; no generic chat job retrieval path" }, "manufacturer_capability": null, "method": { "http": "POST", "path": "/v1/chat/completions" }, "method_aliases": [ "/chat/completions" ], "operation_modes": [ "text_chat" ], "output": { "content": "choices[].message.content or stream delta", "family": "text", "format": "json or supported SSE", "tool_calls": "retain actual returned function calls" } }, "ctx": null, "declared_pricing_profiles": [ { "dimensions": { "regime": "base" }, "label": "Tokenlar uchun bazaviy tariflar", "units": [ { "amount": "0.006000", "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "input_price", "label": "Input tokens", "native_amount_usd_per_unit": "0.000006", "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": "0.03000", "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "output_price", "label": "Output tokens", "native_amount_usd_per_unit": "0.00003", "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": "0.0006000", "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "cache_read_price", "label": "Cache read", "native_amount_usd_per_unit": "0.0000006", "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": "0.0075000", "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "cache_write_price", "label": "Cache write", "native_amount_usd_per_unit": "0.0000075", "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,os\nfrom pathlib import Path\np=json.loads('{\"model\":\"claude-sonnet-4-6-thinking\",\"messages\":[{\"role\":\"user\",\"content\":\"hello\"}],\"stream\":false}')\n\nPath(\"request.json\").write_text(json.dumps(p,ensure_ascii=False))\nPY_REQUEST\ncurl --fail-with-body --silent --show-error https://api.ailoot.ai/v1/chat/completions \\\n -H \"Authorization: Bearer $AILOOT_API_KEY\" -H 'Content-Type: application/json' \\\n --data-binary @request.json -D response-headers.txt -o result.json\npython3 - <<'PY_RESULT'\nimport json\nfrom pathlib import Path\nr=json.loads(Path(\"result.json\").read_text())\nfor x in r.get(\"choices\",[]):\n if x.get(\"message\",{}).get(\"content\"): print(x[\"message\"][\"content\"])\nPY_RESULT\n", "label": "curl · retained exact creation", "language": "bash" }, { "code": "from openai import OpenAI\nimport os\n\nif not os.environ.get(\"AILOOT_API_KEY\", \"\").strip(): raise SystemExit(\"Set AILOOT_API_KEY before making a request\")\nclient=OpenAI(base_url=\"https://api.ailoot.ai/v1\",api_key=os.environ[\"AILOOT_API_KEY\"],max_retries=0)\nresult=client.chat.completions.create(model=\"claude-sonnet-4-6-thinking\", messages=[{\"role\":\"user\",\"content\":\"hello\"}], stream=False)\nimport base64, json\nfrom pathlib import Path\n\ndef save_result(data, stem=\"result\"):\n # Keep every field, including usage, IDs, reasoning and tool requests.\n Path(stem + \".json\").write_text(json.dumps(data, ensure_ascii=False, indent=2), encoding=\"utf-8\")\n print(json.dumps(data, ensure_ascii=False, indent=2))\n def save_blob(encoded, suffix, label):\n raw = base64.b64decode(encoded, altchars=b\"-_\", validate=True)\n ext = \"png\" if raw.startswith(b\"\\x89PNG\\r\\n\\x1a\\n\") else \"jpg\" if raw.startswith(b\"\\xff\\xd8\") else \"webp\" if raw[:4] == b\"RIFF\" and raw[8:12] == b\"WEBP\" else suffix\n file = Path(stem + \"-\" + label + \".\" + ext)\n file.write_bytes(raw)\n print(\"Saved\", file)\n for index, block in enumerate(data.get(\"content\") or []):\n print(\"Content\", index, json.dumps(block, ensure_ascii=False))\n for choice in data.get(\"choices\") or []:\n print(\"Choice\", choice.get(\"index\"), json.dumps(choice.get(\"message\", choice.get(\"delta\", {})), ensure_ascii=False))\n for index, item in enumerate(data.get(\"output\") or []):\n print(\"Output\", index, json.dumps(item, ensure_ascii=False))\n if item.get(\"type\") == \"image_generation_call\" and item.get(\"result\"):\n save_blob(item[\"result\"], item.get(\"output_format\") or \"bin\", \"output-\" + str(index))\n for ci, candidate in enumerate(data.get(\"candidates\") or []):\n for pi, part in enumerate((candidate.get(\"content\") or {}).get(\"parts\") or []):\n print(\"Candidate/part\", ci, pi, json.dumps(part, ensure_ascii=False))\n blob = part.get(\"inlineData\") or part.get(\"inline_data\")\n if blob and blob.get(\"data\"):\n mime = blob.get(\"mimeType\") or blob.get(\"mime_type\")\n suffix = {\"image/png\":\"png\", \"image/jpeg\":\"jpg\", \"image/webp\":\"webp\", \"audio/wav\":\"wav\", \"audio/mpeg\":\"mp3\", \"video/mp4\":\"mp4\"}.get(mime, \"bin\")\n save_blob(blob[\"data\"], suffix, \"candidate-\" + str(ci) + \"-part-\" + str(pi))\n\nsave_result(result.to_dict(mode=\"json\"))\n", "label": "Python SDK · all choices", "language": "python" } ], "family": "openai", "fast_multiplier": null, "flex_multiplier": null, "fmt": "chat", "hints": [ "Send exact model ID with messages.", "Context length is not an output cap.", "A text file may supply literal text; image/audio/file-object inputs need exact binding." ], "http": "POST", "in": 6, "input": [ "text" ], "label": "OpenAI Chat", "max_out": null, "max_reasoning_effort_multiplier": null, "method_aliases": [ "/chat/completions" ], "out": 30, "output": [ "text" ], "path": "/v1/chat/completions", "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" } ], "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": "0.006000", "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "input_price", "label": "Input tokens", "native_amount_usd_per_unit": "0.000006", "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": "0.03000", "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "output_price", "label": "Output tokens", "native_amount_usd_per_unit": "0.00003", "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": "0.0006000", "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "cache_read_price", "label": "Cache read", "native_amount_usd_per_unit": "0.0000006", "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": "0.0075000", "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "cache_write_price", "label": "Cache write", "native_amount_usd_per_unit": "0.0000075", "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": "claude-sonnet-4-6-thinking", "route_label": "Ultra", "status_reads": [], "tiers": [], "units": [ { "amount": "0.006000", "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "input_price", "label": "Input tokens", "native_amount_usd_per_unit": "0.000006", "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": "0.03000", "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "output_price", "label": "Output tokens", "native_amount_usd_per_unit": "0.00003", "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": "0.0006000", "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "cache_read_price", "label": "Cache read", "native_amount_usd_per_unit": "0.0000006", "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": "0.0075000", "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "cache_write_price", "label": "Cache write", "native_amount_usd_per_unit": "0.0000075", "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": "claude-sonnet-4-6-thinking", "request_model_id": "claude-sonnet-4-6-thinking", "route_label": "Ultra" } ], "name": "Anthropic: Claude Sonnet 4.6", "price": { "in": 6, "in_label": null, "out": 30, "out_label": null, "scope_label": "Token rates", "sort_in": 6, "sort_out": 30, "varies": false }, "short": "Claude Sonnet 4.6 dasturlash, uzun hujjatlarni tushunish, rejalashtirish va vizual ma’lumotli vazifalarda yordam beradi. Adaptiv mulohaza yuritish va vositalar bilan ko‘p bosqichli ishlashni qo‘llab-quvvatlaydi." }, "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": "Claude Sonnet 4.6 dasturlash, uzun hujjatlarni tushunish, rejalashtirish va vizual ma’lumotli vazifalarda yordam beradi. Adaptiv mulohaza yuritish va vositalar bilan ko‘p bosqichli ishlashni qo‘llab-quvvatlaydi.", "source": { "audit_sha256": "2e00086bcbfc28e64d0cebe97aa47c17d8d5618963027f8ffb9dc6123d7d25b1", "bridge_map_sha256": "1125275768b9636fc8461bc7da5061239a81ddfe508e2557843ca42c58ab0036", "raw_model_json_sha256": "ef20f749836b4c02ea9fbf9bcdc1aa9e419b3801d7501e3fe17afee8170ac3d4", "renderer_sha256": "aa8a0fca1bd770c042b64987512b6187fca2067aea3ddc877f68b163d80e7df6" }, "sourceRevision": "221014b483d47b6019bc2c47b338356faa13f9f4ab65db10846ea91632b05949" }