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dots3-note Preview — Dots Studio’ning dots3 multimodal oilasidagi yengil a’zosi. Ishlab chiqaruvchi jami 280B parametr, faol 16B parametr va 512K tokengacha kontekstni qo‘llab-quvvatlaydigan mixture-of-experts modelini ko‘rsatadi. U matn, tasvir, video va audio qabul qilib, matn chiqaradi; umumiy bilim, ko‘rsatmalar, mulohaza, dasturlash va agentga yo‘naltirilgan ish uning aytilgan vazifalari qatoriga kiradi.

Til asosida bitta zich qatlam va 45 ekspert qatlami bor; umumiy ekspert bilan birga 256 tadan sakkizta yo‘naltiriladigan ekspert tanlanadi. Uning diqqati 13 siyrak diqqat qatlamini va 33 sirpanuvchi oyna qatlamini birlashtiradi. Ishlab chiqaruvchi alohida vizual va audio enkoderlar hamda umumiy bashorat qatlamini ko‘rsatadi. Bu komponentlar multimodal tushunishni qo‘llab-quvvatlaydi; model chiqishi yaratilgan tasvir, nutq yoki video emas, matn bo‘lib qoladi.

Vizual tahlilda tasvir, sahifa yoki grafikni taqdim eting va qarorga ta’sir qiladigan xususiyat haqida so‘rang. Foydali hujjat vazifasi ko‘rinadigan jadvalni yozma talab bilan taqqoslab, tegishli qator, talqin va har qanday yetishmayotgan ma’lumotni qaytarishi mumkin. Video uchun tekshiriladigan voqea yoki ketma-ketlikni belgilang; klipda audio bo‘lsa, ishlab chiqaruvchining kirish misoli audio yo‘lakni ham o‘z ichiga oladi.

Audio uchun vazifaga transkript yoki material tushuntirishi kerakligini ayting va talqin uchun zarur nomlar yoki soha atamalarini bering. Qo‘shma topshiriq yozuvni yozma fon ma’lumoti bilan birga ishlatib, topilmalarni ular javob beradigan savollar bo‘yicha tashkil qilishni so‘rashi mumkin. Natija ilova ko‘rsatishi yoki qayta ishlashi uchun matnli artefaktdir.

Ishlab chiqaruvchining suhbat shabloni fikrlashni bevosita javobdan ajratadi. Fikrlashni yoqish mulohaza bosqichini qo‘shadi; o‘chirish javobni bevosita qaytaradi. Hujjatlashtirilgan namunada temperature 1.0 va top-p 0.95 ishlatiladi. Vazifa va kerakli natijani aniq tanlang hamda namunaviy token ajratmasini modelning qat’iy chiqish chegarasi deb bilish o‘rniga javob uchun yetarli generatsiya joyini qoldiring.

Dasturlash vazifasida tegishli manba, kutilgan xatti-harakat va kuzatilgan nosozlik yoki so‘ralgan o‘zgarishni bering. Taklif qilingan artefakt va uni baholaydigan tekshiruvlarni so‘rang. Ulangan agent jarayonida model vosita bilan o‘zaro ta’sirlarni taklif qiladi, ilova esa ularni bajarib, natijalarni qaytaradi. Ishlab chiqaruvchi maxsus vosita chaqiruvi parserini e’lon qiladi; haqiqiy vositalar va ularga kirishni atrofdagi ilova beradi.

Interaktiv ish izlanish, moslashish va vazifaning ish xotirasini yangilashni talab qilishi mumkin. Maqsad, tasdiqlangan topilmalar va hal etilmagan shartning ixcham yozuvini saqlang. Keyingi navbatdan yangi dalil nimani o‘zgartirishi va yozuvda nima qolishi kerakligini aniqlashni so‘rang. Yozuvni doimiy saqlash va harakatlarni bajarish model atrofidagi ilovaga tegishli.

Ishlab chiqaruvchi alohida BF16 va FP8 artefaktlarini hamda turlicha sozlangan kontekst uzunliklariga ega mahalliy xizmat retseptlarini e’lon qiladi. Sozlangan xizmat uzunligi 512K model spetsifikatsiyasidan alohida. Modelni aniqlaganda Preview nashri va aniqlik farqlarini saqlang, topilma, taklif qilingan o‘zgarish va jarayon haqiqatan yig‘gan dalillarni aytadigan yakuniy natijani so‘rang.

", "aboutText": "dots3-note Preview — Dots Studio’ning dots3 multimodal oilasidagi yengil a’zosi. Ishlab chiqaruvchi jami 280B parametr, faol 16B parametr va 512K tokengacha kontekstni qo‘llab-quvvatlaydigan mixture-of-experts modelini ko‘rsatadi. U matn, tasvir, video va audio qabul qilib, matn chiqaradi; umumiy bilim, ko‘rsatmalar, mulohaza, dasturlash va agentga yo‘naltirilgan ish uning aytilgan vazifalari qatoriga kiradi.\n\nTil asosida bitta zich qatlam va 45 ekspert qatlami bor; umumiy ekspert bilan birga 256 tadan sakkizta yo‘naltiriladigan ekspert tanlanadi. Uning diqqati 13 siyrak diqqat qatlamini va 33 sirpanuvchi oyna qatlamini birlashtiradi. Ishlab chiqaruvchi alohida vizual va audio enkoderlar hamda umumiy bashorat qatlamini ko‘rsatadi. Bu komponentlar multimodal tushunishni qo‘llab-quvvatlaydi; model chiqishi yaratilgan tasvir, nutq yoki video emas, matn bo‘lib qoladi.\n\nVizual tahlilda tasvir, sahifa yoki grafikni taqdim eting va qarorga ta’sir qiladigan xususiyat haqida so‘rang. Foydali hujjat vazifasi ko‘rinadigan jadvalni yozma talab bilan taqqoslab, tegishli qator, talqin va har qanday yetishmayotgan ma’lumotni qaytarishi mumkin. Video uchun tekshiriladigan voqea yoki ketma-ketlikni belgilang; klipda audio bo‘lsa, ishlab chiqaruvchining kirish misoli audio yo‘lakni ham o‘z ichiga oladi.\n\nAudio uchun vazifaga transkript yoki material tushuntirishi kerakligini ayting va talqin uchun zarur nomlar yoki soha atamalarini bering. Qo‘shma topshiriq yozuvni yozma fon ma’lumoti bilan birga ishlatib, topilmalarni ular javob beradigan savollar bo‘yicha tashkil qilishni so‘rashi mumkin. Natija ilova ko‘rsatishi yoki qayta ishlashi uchun matnli artefaktdir.\n\nIshlab chiqaruvchining suhbat shabloni fikrlashni bevosita javobdan ajratadi. Fikrlashni yoqish mulohaza bosqichini qo‘shadi; o‘chirish javobni bevosita qaytaradi. Hujjatlashtirilgan namunada temperature 1.0 va top-p 0.95 ishlatiladi. Vazifa va kerakli natijani aniq tanlang hamda namunaviy token ajratmasini modelning qat’iy chiqish chegarasi deb bilish o‘rniga javob uchun yetarli generatsiya joyini qoldiring.\n\nDasturlash vazifasida tegishli manba, kutilgan xatti-harakat va kuzatilgan nosozlik yoki so‘ralgan o‘zgarishni bering. Taklif qilingan artefakt va uni baholaydigan tekshiruvlarni so‘rang. Ulangan agent jarayonida model vosita bilan o‘zaro ta’sirlarni taklif qiladi, ilova esa ularni bajarib, natijalarni qaytaradi. Ishlab chiqaruvchi maxsus vosita chaqiruvi parserini e’lon qiladi; haqiqiy vositalar va ularga kirishni atrofdagi ilova beradi.\n\nInteraktiv ish izlanish, moslashish va vazifaning ish xotirasini yangilashni talab qilishi mumkin. Maqsad, tasdiqlangan topilmalar va hal etilmagan shartning ixcham yozuvini saqlang. Keyingi navbatdan yangi dalil nimani o‘zgartirishi va yozuvda nima qolishi kerakligini aniqlashni so‘rang. Yozuvni doimiy saqlash va harakatlarni bajarish model atrofidagi ilovaga tegishli.\n\nIshlab chiqaruvchi alohida BF16 va FP8 artefaktlarini hamda turlicha sozlangan kontekst uzunliklariga ega mahalliy xizmat retseptlarini e’lon qiladi. Sozlangan xizmat uzunligi 512K model spetsifikatsiyasidan alohida. Modelni aniqlaganda Preview nashri va aniqlik farqlarini saqlang, topilma, taklif qilingan o‘zgarish va jarayon haqiqatan yig‘gan dalillarni aytadigan yakuniy natijani so‘rang.", "editorialOverlay": { "copy_fields": null, "copy_sha256": null, "copy_source": null, "html_sha256": "7213a282b2ca1bdc847f18fc47a064d32121a40f7c819c1787d11e9bee0a4ae9", "module_sha256": "ee9dc1c50b1e6a8fb7fa062030fcb4646b9aaaeb08be513b723a5a92a7290f06", "raw_model_unchanged": true, "schema": "ailoot-native-model-editorial-v1" }, "locale": "uz", "methods": [ { "html": "
•

Dots Studio: Dots3-Note Preview (free)

Dots Studio /dots-studio/dots-3-note-preview:free

Boshlash

Dots Studio’ning dots3-note Preview’i mulohaza, dasturlash va agent jarayonlari uchun multimodal MoE modelidir. Ishlab chiqaruvchi jami 280B va faol 16B parametr, 512K kontekst, matn/tasvir/video/audio kirishi hamda matn chiqishini ko‘rsatadi.

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.

dots3-note Preview — Dots Studio’ning dots3 multimodal oilasidagi yengil a’zosi. Ishlab chiqaruvchi jami 280B parametr, faol 16B parametr va 512K tokengacha kontekstni qo‘llab-quvvatlaydigan mixture-of-experts modelini ko‘rsatadi. U matn, tasvir, video va audio qabul qilib, matn chiqaradi; umumiy bilim, ko‘rsatmalar, mulohaza, dasturlash va agentga yo‘naltirilgan ish uning aytilgan vazifalari qatoriga kiradi.

Til asosida bitta zich qatlam va 45 ekspert qatlami bor; umumiy ekspert bilan birga 256 tadan sakkizta yo‘naltiriladigan ekspert tanlanadi. Uning diqqati 13 siyrak diqqat qatlamini va 33 sirpanuvchi oyna qatlamini birlashtiradi. Ishlab chiqaruvchi alohida vizual va audio enkoderlar hamda umumiy bashorat qatlamini ko‘rsatadi. Bu komponentlar multimodal tushunishni qo‘llab-quvvatlaydi; model chiqishi yaratilgan tasvir, nutq yoki video emas, matn bo‘lib qoladi.

Vizual tahlilda tasvir, sahifa yoki grafikni taqdim eting va qarorga ta’sir qiladigan xususiyat haqida so‘rang. Foydali hujjat vazifasi ko‘rinadigan jadvalni yozma talab bilan taqqoslab, tegishli qator, talqin va har qanday yetishmayotgan ma’lumotni qaytarishi mumkin. Video uchun tekshiriladigan voqea yoki ketma-ketlikni belgilang; klipda audio bo‘lsa, ishlab chiqaruvchining kirish misoli audio yo‘lakni ham o‘z ichiga oladi.

Audio uchun vazifaga transkript yoki material tushuntirishi kerakligini ayting va talqin uchun zarur nomlar yoki soha atamalarini bering. Qo‘shma topshiriq yozuvni yozma fon ma’lumoti bilan birga ishlatib, topilmalarni ular javob beradigan savollar bo‘yicha tashkil qilishni so‘rashi mumkin. Natija ilova ko‘rsatishi yoki qayta ishlashi uchun matnli artefaktdir.

Ishlab chiqaruvchining suhbat shabloni fikrlashni bevosita javobdan ajratadi. Fikrlashni yoqish mulohaza bosqichini qo‘shadi; o‘chirish javobni bevosita qaytaradi. Hujjatlashtirilgan namunada temperature 1.0 va top-p 0.95 ishlatiladi. Vazifa va kerakli natijani aniq tanlang hamda namunaviy token ajratmasini modelning qat’iy chiqish chegarasi deb bilish o‘rniga javob uchun yetarli generatsiya joyini qoldiring.

Dasturlash vazifasida tegishli manba, kutilgan xatti-harakat va kuzatilgan nosozlik yoki so‘ralgan o‘zgarishni bering. Taklif qilingan artefakt va uni baholaydigan tekshiruvlarni so‘rang. Ulangan agent jarayonida model vosita bilan o‘zaro ta’sirlarni taklif qiladi, ilova esa ularni bajarib, natijalarni qaytaradi. Ishlab chiqaruvchi maxsus vosita chaqiruvi parserini e’lon qiladi; haqiqiy vositalar va ularga kirishni atrofdagi ilova beradi.

Interaktiv ish izlanish, moslashish va vazifaning ish xotirasini yangilashni talab qilishi mumkin. Maqsad, tasdiqlangan topilmalar va hal etilmagan shartning ixcham yozuvini saqlang. Keyingi navbatdan yangi dalil nimani o‘zgartirishi va yozuvda nima qolishi kerakligini aniqlashni so‘rang. Yozuvni doimiy saqlash va harakatlarni bajarish model atrofidagi ilovaga tegishli.

Ishlab chiqaruvchi alohida BF16 va FP8 artefaktlarini hamda turlicha sozlangan kontekst uzunliklariga ega mahalliy xizmat retseptlarini e’lon qiladi. Sozlangan xizmat uzunligi 512K model spetsifikatsiyasidan alohida. Modelni aniqlaganda Preview nashri va aniqlik farqlarini saqlang, topilma, taklif qilingan o‘zgarish va jarayon haqiqatan yig‘gan dalillarni aytadigan yakuniy natijani so‘rang.

Ailoot da mavjud · kirish ma’lumotlari va usullar

Ailoot Ultra · OpenAI Chat POST /v1/chat/completions
Kirish
text
Chiqish
text
Kontekst
512 000 tokens
Eng katta chiqish
460 800 tokens
Chiqish formati
JSON
MaydonTurTalabQiymatlar va cheklovlarStandart
MaydonmodelTurstringTalabMajburiyQiymatlar va cheklovlar
dots-studio/dots-3-note-preview:free
Standart—
MaydonmessagesTurarrayTalabMajburiyQiymatlar va cheklovlarStandart—
MaydonstreamTurbooleanTalabIxtiyoriyQiymatlar va cheklovlar
false
Standartfalse
Maydonmax_tokensTurintegerTalabIxtiyoriyQiymatlar va cheklovlar
Eng kam: 1
Eng ko‘p: 460 800
Standart—
Maydonmax_completion_tokensTurintegerTalabIxtiyoriyQiymatlar va cheklovlar
Eng kam: 1
Eng ko‘p: 460 800
Standart—
MaydonnTurintegerTalabIxtiyoriyQiymatlar va cheklovlar
Eng kam: 1
Eng ko‘p: 128
Standart—
MaydontemperatureTurnumberTalabIxtiyoriyQiymatlar va cheklovlarStandart—
Maydontop_pTurnumberTalabIxtiyoriyQiymatlar va cheklovlarStandart—
MaydonseedTurintegerTalabIxtiyoriyQiymatlar va cheklovlarStandart—
MaydonstopTurTalabIxtiyoriyQiymatlar va cheklovlarStandart—
Maydonfrequency_penaltyTurnumberTalabIxtiyoriyQiymatlar va cheklovlarStandart—
Maydonpresence_penaltyTurnumberTalabIxtiyoriyQiymatlar va cheklovlarStandart—
MaydonuserTurstringTalabIxtiyoriyQiymatlar va cheklovlarStandart—
Usul parametrlari va hayot sikli
ParametrParametr talablari
Parametrcontent_typeParametr talablariapplication/json
ParametrrequiredParametr talablarimodel, messages
ParametroptionalParametr talablaristream, max_tokens, max_completion_tokens, n, temperature, top_p, seed, stop, frequency_penalty, presence_penalty, user
Parametrmaterial_typesParametr talablaritext
ParametrconditionsParametr talablariUse literal text messages only. Cache controls, tools, image/audio/video content and streamed responses are unavailable for this method., The complete encoded JSON request must not exceed 512000 bytes.

Hayot sikli: synchronous_json

Tariflar

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

Tezkor rejim
Standart tarif Tezkor rejim tanlanganda
Flex rejimi
Standart tarif flex rejimi tanlanganda
Maksimal fikrlash darajasi
Standart tarif Maksimal fikrlash darajasi uchun standart (default) tuzatish qo‘llanganda
Ochiq ko‘rsatilgan keshlash narxlari
Yoqilmagan Ochiq ko‘rsatilgan keshlash so‘ralganda
Faqat matn uchun nol tariflar
Text input and output only. Cache, tools, media and streaming are unavailable. Faqat matnli kirish va chiqish uchun

Ailoot tariflari

Sozlamalar bo‘yicha narxlar

SozlamaTariflar jadvaliTo‘lov
SozlamaTokenlar uchun bazaviy tariflarTariflar jadvaliAsosiy tarifTo‘lov
Kirish · Kirish tokenlari $0 / 1K token
Chiqish · Chiqish tokenlari $0 / 1K token
Kirish · Keshdan o‘qish — / 1K token
Kirish · Keshga yozish — / 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}"\nexport AILOOT_API_KEY\npython3 - <<'PY_REQUEST'\nimport json,os\nfrom pathlib import Path\np=json.loads('{"model": "dots-studio/dots-3-note-preview:free", "messages": [{"role": "user", "content": "Summarize the supplied text in three concise points."}], "stream": false}')\n\nPath("request.json").write_text(json.dumps(p,ensure_ascii=False))\nPY_REQUEST\ncurl --fail-with-body --silent --show-error https://api.ailoot.ai/v1/chat/completions \\\n  -H "Authorization: Bearer $AILOOT_API_KEY" -H 'Content-Type: application/json' \\\n  --data-binary @request.json -D response-headers.txt -o result.json\n# Submit once. Retain the complete result, original identifiers and every response header.\n

Natijalarni olish va saqlash

Ailoot Ultra · OpenAI Chat

JSON

Barcha tayyor natijalarni saqlash

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

Retain the complete response, all actual results, original identifiers, usage and response headers.

Asl javobni tekshirish kerak bo‘lsa

Preserve the original response, headers and X-Client-Request-ID. An uncertain outcome does not authorize another creation.

Taxalluslar

Model taxalluslari

Ailoot Ultra dots-studio/dots-3-note-preview:free

Usul yo‘llari taxalluslari

Yuqorida ko‘rsatilgan usul yo‘llaridan foydalaning.

Chaqirish uchun tegishli ID lar

dots-studio/dots-3-note-preview:free

", "method_identity": { "effective_request_model_id": "dots-studio/dots-3-note-preview:free", "fmt": "chat", "http": "POST", "path": "/v1/chat/completions", "request_model_id": "dots-studio/dots-3-note-preview:free", "route_label": "Ultra" }, "method_key": "Ultra|chat|/v1/chat/completions|dots-studio%2Fdots-3-note-preview%3Afree", "ordinal": 0, "rawMethod": { "available": null, "cache_read": null, "cache_write": null, "cache_write_1h": null, "contract": { "data": { "all_results": "Retain the complete response, all actual results, original identifiers, usage and response headers.", "authentication": { "api_key_source": "AILOOT_API_KEY", "header": "Authorization: Bearer" }, "example_body": { "messages": [ { "content": "Summarize the supplied text in three concise points.", "role": "user" } ], "model": "dots-studio/dots-3-note-preview:free", "stream": false }, "lifecycle": { "cancel_endpoint": null, "create": { "http": "POST", "path": "/v1/chat/completions" }, "mode": "synchronous_json", "status": [], "unknown": "Preserve the original response, headers and X-Client-Request-ID. An uncertain outcome does not authorize another creation.", "unknown_no_replay": true }, "outputs": { "all_results": "Retain the complete response, all actual results, original identifiers, usage and response headers.", "family": "text", "format": "JSON" }, "parameters": [ { "default_known": false, "enum": [ "dots-studio/dots-3-note-preview:free" ], "enum_known": true, "name": "model", "required": true, "type": "string" }, { "default_known": false, "enum_known": false, "items": { "additionalProperties": false, "properties": { "content": { "type": "string" }, "role": { "enum": [ "user", "assistant", "system", "developer" ], "type": "string" } }, "required": [ "role", "content" ], "type": "object" }, "minItems": 1, "name": "messages", "required": true, "type": "array" }, { "default": false, "default_known": true, "enum": [ false ], "enum_known": true, "name": "stream", "required": false, "type": "boolean" }, { "default_known": false, "enum_known": false, "maximum": 460800, "minimum": 1, "name": "max_tokens", "required": false, "type": "integer" }, { "default_known": false, "enum_known": false, "maximum": 460800, "minimum": 1, "name": "max_completion_tokens", "required": false, "type": "integer" }, { "default_known": false, "enum_known": false, "maximum": 128, "minimum": 1, "name": "n", "required": false, "type": "integer" }, { "default_known": false, "enum_known": false, "name": "temperature", "required": false, "type": "number" }, { "default_known": false, "enum_known": false, "name": "top_p", "required": false, "type": "number" }, { "default_known": false, "enum_known": false, "name": "seed", "required": false, "type": "integer" }, { "default_known": false, "enum_known": false, "name": "stop", "oneOf": [ { "type": "string" }, { "items": { "type": "string" }, "type": "array" } ], "required": false }, { "default_known": false, "enum_known": false, "name": "frequency_penalty", "required": false, "type": "number" }, { "default_known": false, "enum_known": false, "name": "presence_penalty", "required": false, "type": "number" }, { "default_known": false, "enum_known": false, "name": "user", "required": false, "type": "string" } ], "request_schema": { "additionalProperties": false, "properties": { "frequency_penalty": { "type": "number" }, "max_completion_tokens": { "maximum": 460800, "minimum": 1, "type": "integer" }, "max_tokens": { "maximum": 460800, "minimum": 1, "type": "integer" }, "messages": { "items": { "additionalProperties": false, "properties": { "content": { "type": "string" }, "role": { "enum": [ "user", "assistant", "system", "developer" ], "type": "string" } }, "required": [ "role", "content" ], "type": "object" }, "minItems": 1, "type": "array" }, "model": { "enum": [ "dots-studio/dots-3-note-preview:free" ], "type": "string" }, "n": { "maximum": 128, "minimum": 1, "type": "integer" }, "presence_penalty": { "type": "number" }, "seed": { "type": "integer" }, "stop": { "oneOf": [ { "type": "string" }, { "items": { "type": "string" }, "type": "array" } ] }, "stream": { "default": false, "enum": [ false ], "type": "boolean" }, "temperature": { "type": "number" }, "top_p": { "type": "number" }, "user": { "type": "string" } }, "required": [ "model", "messages" ], "type": "object" }, "schema_template": { "body": { "messages": [ { "content": "Summarize the supplied text in three concise points.", "role": "user" } ], "model": "dots-studio/dots-3-note-preview:free", "stream": false }, "content_type": "application/json" } }, "input": { "conditions": [ "Use literal text messages only. Cache controls, tools, image/audio/video content and streamed responses are unavailable for this method.", "The complete encoded JSON request must not exceed 512000 bytes." ], "content_type": "application/json", "material_types": [ "text" ], "optional": [ "stream", "max_tokens", "max_completion_tokens", "n", "temperature", "top_p", "seed", "stop", "frequency_penalty", "presence_penalty", "user" ], "required": [ "model", "messages" ] }, "lifecycle": { "cancel_endpoint": null, "create": { "http": "POST", "path": "/v1/chat/completions" }, "mode": "synchronous_json", "status": [], "unknown": "Preserve the original response, headers and X-Client-Request-ID. An uncertain outcome does not authorize another creation.", "unknown_no_replay": true }, "method": { "http": "POST", "path": "/v1/chat/completions" }, "method_aliases": [], "output": { "all_results": "Retain the complete response, all actual results, original identifiers, usage and response headers.", "family": "text", "format": "JSON" } }, "ctx": 512000, "declared_pricing_profiles": [ { "dimensions": { "regime": "base" }, "label": "Base token rates", "units": [ { "amount": "0", "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "input_price", "label": "Input tokens", "native_amount_usd_per_unit": "0", "native_quantity": 1, "native_unit": "input_token", "public_unit_label": "/ 1K tokens", "quantity": 1000, "quantity_is_estimate": false, "rate_role": "typed_native_retail_rate", "side": "in", "unit": "input_token" }, { "amount": "0", "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "output_price", "label": "Output tokens", "native_amount_usd_per_unit": "0", "native_quantity": 1, "native_unit": "output_token", "public_unit_label": "/ 1K tokens", "quantity": 1000, "quantity_is_estimate": false, "rate_role": "typed_native_retail_rate", "side": "out", "unit": "output_token" }, { "amount": null, "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "cache_read_price", "label": "Cache read", "native_amount_usd_per_unit": null, "native_quantity": 1, "native_unit": "cached_input_token", "public_unit_label": "/ 1K tokens", "quantity": 1000, "quantity_is_estimate": false, "rate_role": "typed_native_retail_rate", "side": "in", "unit": "cached_input_token" }, { "amount": null, "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "cache_write_price", "label": "Cache write", "native_amount_usd_per_unit": null, "native_quantity": 1, "native_unit": "generic_cache_creation_token", "public_unit_label": "/ 1K tokens", "quantity": 1000, "quantity_is_estimate": false, "rate_role": "typed_native_retail_rate", "side": "in", "unit": "generic_cache_creation_token" }, { "amount": null, "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "cache_write_1h_price", "label": "Cache write, 1 hour", "native_amount_usd_per_unit": null, "native_quantity": 1, "native_unit": "one_hour_cache_creation_token", "public_unit_label": "/ 1K tokens", "quantity": 1000, "quantity_is_estimate": false, "rate_role": "typed_native_retail_rate", "side": "in", "unit": "one_hour_cache_creation_token" } ] } ], "examples": [ { "code": "set -eu\n: \"${AILOOT_API_KEY:?Set your Ailoot API key}\"\nexport AILOOT_API_KEY\npython3 - <<'PY_REQUEST'\nimport json,os\nfrom pathlib import Path\np=json.loads('{\"model\": \"dots-studio/dots-3-note-preview:free\", \"messages\": [{\"role\": \"user\", \"content\": \"Summarize the supplied text in three concise points.\"}], \"stream\": false}')\n\nPath(\"request.json\").write_text(json.dumps(p,ensure_ascii=False))\nPY_REQUEST\ncurl --fail-with-body --silent --show-error https://api.ailoot.ai/v1/chat/completions \\\n -H \"Authorization: Bearer $AILOOT_API_KEY\" -H 'Content-Type: application/json' \\\n --data-binary @request.json -D response-headers.txt -o result.json\n# Submit once. Retain the complete result, original identifiers and every response header.\n", "label": "curl · create once and retain the complete result", "language": "bash" } ], "family": "openai", "fast_multiplier": 1, "flex_multiplier": 1, "fmt": "chat", "hints": [ "Send exact model ID with messages.", "Context length is not an output cap.", "A text file may supply literal text; image/audio/file-object inputs need exact binding." ], "http": "POST", "img_in": null, "img_out": null, "in": 0, "input": [ "text" ], "label": "OpenAI Chat", "max_out": 460800, "max_reasoning_effort_multiplier": 1, "method_aliases": [], "out": 0, "output": [ "text" ], "path": "/v1/chat/completions", "price_conditions": [ { "label": "Fast mode", "value": "Standard rate", "when": "When fast mode is selected" }, { "label": "Flex mode", "value": "Standard rate", "when": "When flex mode is selected" }, { "label": "Maximum reasoning effort", "value": "Standard rate", "when": "When maximum reasoning effort uses the default adjustment" }, { "label": "Explicit cache pricing", "value": "Not enabled", "when": "When explicit cache is requested" }, { "label": "Text-only zero rates", "value": "Text input and output only. Cache, tools, media and streaming are unavailable.", "when": "For text-only input and output" } ], "pricing": { "allow_explicit_cache": false, "billing_mode": "token", "cache_read_price": null, "cache_write_1h_price": null, "cache_write_price": null, "fast_multiplier": 1, "flex_multiplier": 1, "image_input_price": null, "image_output_price": null, "input_price": 0, "intervals": [], "max_reasoning_effort_multiplier": 1, "output_price": 0, "per_request_price": null }, "pricing_profiles": [ { "dimensions": { "regime": "base" }, "label": "Base token rates", "units": [ { "amount": "0", "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "input_price", "label": "Input tokens", "native_amount_usd_per_unit": "0", "native_quantity": 1, "native_unit": "input_token", "public_unit_label": "/ 1K tokens", "quantity": 1000, "quantity_is_estimate": false, "rate_role": "typed_native_retail_rate", "side": "in", "unit": "input_token" }, { "amount": "0", "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "output_price", "label": "Output tokens", "native_amount_usd_per_unit": "0", "native_quantity": 1, "native_unit": "output_token", "public_unit_label": "/ 1K tokens", "quantity": 1000, "quantity_is_estimate": false, "rate_role": "typed_native_retail_rate", "side": "out", "unit": "output_token" }, { "amount": null, "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "cache_read_price", "label": "Cache read", "native_amount_usd_per_unit": null, "native_quantity": 1, "native_unit": "cached_input_token", "public_unit_label": "/ 1K tokens", "quantity": 1000, "quantity_is_estimate": false, "rate_role": "typed_native_retail_rate", "side": "in", "unit": "cached_input_token" }, { "amount": null, "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "cache_write_price", "label": "Cache write", "native_amount_usd_per_unit": null, "native_quantity": 1, "native_unit": "generic_cache_creation_token", "public_unit_label": "/ 1K tokens", "quantity": 1000, "quantity_is_estimate": false, "rate_role": "typed_native_retail_rate", "side": "in", "unit": "generic_cache_creation_token" }, { "amount": null, "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "cache_write_1h_price", "label": "Cache write, 1 hour", "native_amount_usd_per_unit": null, "native_quantity": 1, "native_unit": "one_hour_cache_creation_token", "public_unit_label": "/ 1K tokens", "quantity": 1000, "quantity_is_estimate": false, "rate_role": "typed_native_retail_rate", "side": "in", "unit": "one_hour_cache_creation_token" } ] } ], "request_model_id": "dots-studio/dots-3-note-preview:free", "route_label": "Ultra", "status_reads": [], "tiers": [], "unit": "token", "units": [ { "amount": "0", "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "input_price", "label": "Input tokens", "native_amount_usd_per_unit": "0", "native_quantity": 1, "native_unit": "input_token", "public_unit_label": "/ 1K tokens", "quantity": 1000, "quantity_is_estimate": false, "rate_role": "typed_native_retail_rate", "side": "in", "unit": "input_token" }, { "amount": "0", "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "output_price", "label": "Output tokens", "native_amount_usd_per_unit": "0", "native_quantity": 1, "native_unit": "output_token", "public_unit_label": "/ 1K tokens", "quantity": 1000, "quantity_is_estimate": false, "rate_role": "typed_native_retail_rate", "side": "out", "unit": "output_token" }, { "amount": null, "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "cache_read_price", "label": "Cache read", "native_amount_usd_per_unit": null, "native_quantity": 1, "native_unit": "cached_input_token", "public_unit_label": "/ 1K tokens", "quantity": 1000, "quantity_is_estimate": false, "rate_role": "typed_native_retail_rate", "side": "in", "unit": "cached_input_token" }, { "amount": null, "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "cache_write_price", "label": "Cache write", "native_amount_usd_per_unit": null, "native_quantity": 1, "native_unit": "generic_cache_creation_token", "public_unit_label": "/ 1K tokens", "quantity": 1000, "quantity_is_estimate": false, "rate_role": "typed_native_retail_rate", "side": "in", "unit": "generic_cache_creation_token" }, { "amount": null, "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "cache_write_1h_price", "label": "Cache write, 1 hour", "native_amount_usd_per_unit": null, "native_quantity": 1, "native_unit": "one_hour_cache_creation_token", "public_unit_label": "/ 1K tokens", "quantity": 1000, "quantity_is_estimate": false, "rate_role": "typed_native_retail_rate", "side": "in", "unit": "one_hour_cache_creation_token" } ] } }, { "html": "
•

Dots Studio: Dots3-Note Preview (free)

Dots Studio /dots-studio/dots-3-note-preview:free

Boshlash

Dots Studio’ning dots3-note Preview’i mulohaza, dasturlash va agent jarayonlari uchun multimodal MoE modelidir. Ishlab chiqaruvchi jami 280B va faol 16B parametr, 512K kontekst, matn/tasvir/video/audio kirishi hamda matn chiqishini ko‘rsatadi.

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.

dots3-note Preview — Dots Studio’ning dots3 multimodal oilasidagi yengil a’zosi. Ishlab chiqaruvchi jami 280B parametr, faol 16B parametr va 512K tokengacha kontekstni qo‘llab-quvvatlaydigan mixture-of-experts modelini ko‘rsatadi. U matn, tasvir, video va audio qabul qilib, matn chiqaradi; umumiy bilim, ko‘rsatmalar, mulohaza, dasturlash va agentga yo‘naltirilgan ish uning aytilgan vazifalari qatoriga kiradi.

Til asosida bitta zich qatlam va 45 ekspert qatlami bor; umumiy ekspert bilan birga 256 tadan sakkizta yo‘naltiriladigan ekspert tanlanadi. Uning diqqati 13 siyrak diqqat qatlamini va 33 sirpanuvchi oyna qatlamini birlashtiradi. Ishlab chiqaruvchi alohida vizual va audio enkoderlar hamda umumiy bashorat qatlamini ko‘rsatadi. Bu komponentlar multimodal tushunishni qo‘llab-quvvatlaydi; model chiqishi yaratilgan tasvir, nutq yoki video emas, matn bo‘lib qoladi.

Vizual tahlilda tasvir, sahifa yoki grafikni taqdim eting va qarorga ta’sir qiladigan xususiyat haqida so‘rang. Foydali hujjat vazifasi ko‘rinadigan jadvalni yozma talab bilan taqqoslab, tegishli qator, talqin va har qanday yetishmayotgan ma’lumotni qaytarishi mumkin. Video uchun tekshiriladigan voqea yoki ketma-ketlikni belgilang; klipda audio bo‘lsa, ishlab chiqaruvchining kirish misoli audio yo‘lakni ham o‘z ichiga oladi.

Audio uchun vazifaga transkript yoki material tushuntirishi kerakligini ayting va talqin uchun zarur nomlar yoki soha atamalarini bering. Qo‘shma topshiriq yozuvni yozma fon ma’lumoti bilan birga ishlatib, topilmalarni ular javob beradigan savollar bo‘yicha tashkil qilishni so‘rashi mumkin. Natija ilova ko‘rsatishi yoki qayta ishlashi uchun matnli artefaktdir.

Ishlab chiqaruvchining suhbat shabloni fikrlashni bevosita javobdan ajratadi. Fikrlashni yoqish mulohaza bosqichini qo‘shadi; o‘chirish javobni bevosita qaytaradi. Hujjatlashtirilgan namunada temperature 1.0 va top-p 0.95 ishlatiladi. Vazifa va kerakli natijani aniq tanlang hamda namunaviy token ajratmasini modelning qat’iy chiqish chegarasi deb bilish o‘rniga javob uchun yetarli generatsiya joyini qoldiring.

Dasturlash vazifasida tegishli manba, kutilgan xatti-harakat va kuzatilgan nosozlik yoki so‘ralgan o‘zgarishni bering. Taklif qilingan artefakt va uni baholaydigan tekshiruvlarni so‘rang. Ulangan agent jarayonida model vosita bilan o‘zaro ta’sirlarni taklif qiladi, ilova esa ularni bajarib, natijalarni qaytaradi. Ishlab chiqaruvchi maxsus vosita chaqiruvi parserini e’lon qiladi; haqiqiy vositalar va ularga kirishni atrofdagi ilova beradi.

Interaktiv ish izlanish, moslashish va vazifaning ish xotirasini yangilashni talab qilishi mumkin. Maqsad, tasdiqlangan topilmalar va hal etilmagan shartning ixcham yozuvini saqlang. Keyingi navbatdan yangi dalil nimani o‘zgartirishi va yozuvda nima qolishi kerakligini aniqlashni so‘rang. Yozuvni doimiy saqlash va harakatlarni bajarish model atrofidagi ilovaga tegishli.

Ishlab chiqaruvchi alohida BF16 va FP8 artefaktlarini hamda turlicha sozlangan kontekst uzunliklariga ega mahalliy xizmat retseptlarini e’lon qiladi. Sozlangan xizmat uzunligi 512K model spetsifikatsiyasidan alohida. Modelni aniqlaganda Preview nashri va aniqlik farqlarini saqlang, topilma, taklif qilingan o‘zgarish va jarayon haqiqatan yig‘gan dalillarni aytadigan yakuniy natijani so‘rang.

Ailoot da mavjud · kirish ma’lumotlari va usullar

Ailoot Ultra · Anthropic Messages POST /v1/messages
Kirish
text
Chiqish
text
Kontekst
512 000 tokens
Eng katta chiqish
460 800 tokens
Chiqish formati
JSON
MaydonTurTalabQiymatlar va cheklovlarStandart
MaydonmodelTurstringTalabMajburiyQiymatlar va cheklovlar
dots-studio/dots-3-note-preview:free
Standart—
MaydonmessagesTurarrayTalabMajburiyQiymatlar va cheklovlarStandart—
MaydonstreamTurbooleanTalabIxtiyoriyQiymatlar va cheklovlar
false
Standartfalse
MaydonsystemTurstringTalabIxtiyoriyQiymatlar va cheklovlarStandart—
Maydonmax_tokensTurintegerTalabMajburiyQiymatlar va cheklovlar
Eng kam: 1
Eng ko‘p: 460 800
Standart—
MaydontemperatureTurnumberTalabIxtiyoriyQiymatlar va cheklovlarStandart—
Maydontop_pTurnumberTalabIxtiyoriyQiymatlar va cheklovlarStandart—
Maydontop_kTurintegerTalabIxtiyoriyQiymatlar va cheklovlarStandart—
Maydonstop_sequencesTurarrayTalabIxtiyoriyQiymatlar va cheklovlarStandart—
MaydonmetadataTurobjectTalabIxtiyoriyQiymatlar va cheklovlarStandart—
Usul parametrlari va hayot sikli
ParametrParametr talablari
Parametrcontent_typeParametr talablariapplication/json
ParametrrequiredParametr talablarimodel, messages, max_tokens
ParametroptionalParametr talablaristream, system, temperature, top_p, top_k, stop_sequences, metadata
Parametrmaterial_typesParametr talablaritext
ParametrconditionsParametr talablariUse literal text messages only. Cache controls, tools, image/audio/video content and streamed responses are unavailable for this method., The complete encoded JSON request must not exceed 512000 bytes.

Hayot sikli: synchronous_json

Tariflar

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

Tezkor rejim
Standart tarif Tezkor rejim tanlanganda
Flex rejimi
Standart tarif flex rejimi tanlanganda
Maksimal fikrlash darajasi
Standart tarif Maksimal fikrlash darajasi uchun standart (default) tuzatish qo‘llanganda
Faqat matn uchun nol tariflar
Text input and output only. Cache, tools, media and streaming are unavailable. Faqat matnli kirish va chiqish uchun

Ailoot tariflari

Sozlamalar bo‘yicha narxlar

SozlamaTariflar jadvaliTo‘lov
SozlamaTokenlar uchun bazaviy tariflarTariflar jadvaliAsosiy tarifTo‘lov
Kirish · Kirish tokenlari $0 / 1K token
Chiqish · Chiqish tokenlari $0 / 1K token
Kirish · Keshdan o‘qish — / 1K token
Kirish · Keshga yozish — / 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 · 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": "dots-studio/dots-3-note-preview:free", "messages": [{"role": "user", "content": "Summarize the supplied text in three concise points."}], "stream": false, "max_tokens": 256}')\n\nPath("request.json").write_text(json.dumps(p,ensure_ascii=False))\nPY_REQUEST\ncurl --fail-with-body --silent --show-error https://api.ailoot.ai/v1/messages \\\n  -H "Authorization: Bearer $AILOOT_API_KEY" -H 'Content-Type: application/json' \\\n  --data-binary @request.json -D response-headers.txt -o result.json\n# Submit once. Retain the complete result, original identifiers and every response header.\n

Natijalarni olish va saqlash

Ailoot Ultra · Anthropic Messages

JSON

Barcha tayyor natijalarni saqlash

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

Retain the complete response, all actual results, original identifiers, usage and response headers.

Asl javobni tekshirish kerak bo‘lsa

Preserve the original response, headers and X-Client-Request-ID. An uncertain outcome does not authorize another creation.

Taxalluslar

Model taxalluslari

Ailoot Ultra dots-studio/dots-3-note-preview:free

Usul yo‘llari taxalluslari

Yuqorida ko‘rsatilgan usul yo‘llaridan foydalaning.

Chaqirish uchun tegishli ID lar

dots-studio/dots-3-note-preview:free

", "method_identity": { "effective_request_model_id": "dots-studio/dots-3-note-preview:free", "fmt": "messages", "http": "POST", "path": "/v1/messages", "request_model_id": "dots-studio/dots-3-note-preview:free", "route_label": "Ultra" }, "method_key": "Ultra|messages|/v1/messages|dots-studio%2Fdots-3-note-preview%3Afree", "ordinal": 1, "rawMethod": { "available": null, "cache_read": null, "cache_write": null, "cache_write_1h": null, "contract": { "data": { "all_results": "Retain the complete response, all actual results, original identifiers, usage and response headers.", "authentication": { "api_key_source": "AILOOT_API_KEY", "header": "Authorization: Bearer" }, "example_body": { "max_tokens": 256, "messages": [ { "content": "Summarize the supplied text in three concise points.", "role": "user" } ], "model": "dots-studio/dots-3-note-preview:free", "stream": false }, "lifecycle": { "cancel_endpoint": null, "create": { "http": "POST", "path": "/v1/messages" }, "mode": "synchronous_json", "status": [], "unknown": "Preserve the original response, headers and X-Client-Request-ID. An uncertain outcome does not authorize another creation.", "unknown_no_replay": true }, "outputs": { "all_results": "Retain the complete response, all actual results, original identifiers, usage and response headers.", "family": "text", "format": "JSON" }, "parameters": [ { "default_known": false, "enum": [ "dots-studio/dots-3-note-preview:free" ], "enum_known": true, "name": "model", "required": true, "type": "string" }, { "default_known": false, "enum_known": false, "items": { "additionalProperties": false, "properties": { "content": { "type": "string" }, "role": { "enum": [ "user", "assistant" ], "type": "string" } }, "required": [ "role", "content" ], "type": "object" }, "minItems": 1, "name": "messages", "required": true, "type": "array" }, { "default": false, "default_known": true, "enum": [ false ], "enum_known": true, "name": "stream", "required": false, "type": "boolean" }, { "default_known": false, "enum_known": false, "name": "system", "required": false, "type": "string" }, { "default_known": false, "enum_known": false, "maximum": 460800, "minimum": 1, "name": "max_tokens", "required": true, "type": "integer" }, { "default_known": false, "enum_known": false, "name": "temperature", "required": false, "type": "number" }, { "default_known": false, "enum_known": false, "name": "top_p", "required": false, "type": "number" }, { "default_known": false, "enum_known": false, "name": "top_k", "required": false, "type": "integer" }, { "default_known": false, "enum_known": false, "items": { "type": "string" }, "name": "stop_sequences", "required": false, "type": "array" }, { "default_known": false, "enum_known": false, "name": "metadata", "required": false, "type": "object" } ], "request_schema": { "additionalProperties": false, "properties": { "max_tokens": { "maximum": 460800, "minimum": 1, "type": "integer" }, "messages": { "items": { "additionalProperties": false, "properties": { "content": { "type": "string" }, "role": { "enum": [ "user", "assistant" ], "type": "string" } }, "required": [ "role", "content" ], "type": "object" }, "minItems": 1, "type": "array" }, "metadata": { "type": "object" }, "model": { "enum": [ "dots-studio/dots-3-note-preview:free" ], "type": "string" }, "stop_sequences": { "items": { "type": "string" }, "type": "array" }, "stream": { "default": false, "enum": [ false ], "type": "boolean" }, "system": { "type": "string" }, "temperature": { "type": "number" }, "top_k": { "type": "integer" }, "top_p": { "type": "number" } }, "required": [ "model", "messages", "max_tokens" ], "type": "object" }, "schema_template": { "body": { "max_tokens": 256, "messages": [ { "content": "Summarize the supplied text in three concise points.", "role": "user" } ], "model": "dots-studio/dots-3-note-preview:free", "stream": false }, "content_type": "application/json" } }, "input": { "conditions": [ "Use literal text messages only. Cache controls, tools, image/audio/video content and streamed responses are unavailable for this method.", "The complete encoded JSON request must not exceed 512000 bytes." ], "content_type": "application/json", "material_types": [ "text" ], "optional": [ "stream", "system", "temperature", "top_p", "top_k", "stop_sequences", "metadata" ], "required": [ "model", "messages", "max_tokens" ] }, "lifecycle": { "cancel_endpoint": null, "create": { "http": "POST", "path": "/v1/messages" }, "mode": "synchronous_json", "status": [], "unknown": "Preserve the original response, headers and X-Client-Request-ID. An uncertain outcome does not authorize another creation.", "unknown_no_replay": true }, "method": { "http": "POST", "path": "/v1/messages" }, "method_aliases": [], "output": { "all_results": "Retain the complete response, all actual results, original identifiers, usage and response headers.", "family": "text", "format": "JSON" } }, "ctx": 512000, "declared_pricing_profiles": [ { "dimensions": { "regime": "base" }, "label": "Base token rates", "units": [ { "amount": "0", "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "input_price", "label": "Input tokens", "native_amount_usd_per_unit": "0", "native_quantity": 1, "native_unit": "input_token", "public_unit_label": "/ 1K tokens", "quantity": 1000, "quantity_is_estimate": false, "rate_role": "typed_native_retail_rate", "side": "in", "unit": "input_token" }, { "amount": "0", "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "output_price", "label": "Output tokens", "native_amount_usd_per_unit": "0", "native_quantity": 1, "native_unit": "output_token", "public_unit_label": "/ 1K tokens", "quantity": 1000, "quantity_is_estimate": false, "rate_role": "typed_native_retail_rate", "side": "out", "unit": "output_token" }, { "amount": null, "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "cache_read_price", "label": "Cache read", "native_amount_usd_per_unit": null, "native_quantity": 1, "native_unit": "cached_input_token", "public_unit_label": "/ 1K tokens", "quantity": 1000, "quantity_is_estimate": false, "rate_role": "typed_native_retail_rate", "side": "in", "unit": "cached_input_token" }, { "amount": null, "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "cache_write_price", "label": "Cache write", "native_amount_usd_per_unit": null, "native_quantity": 1, "native_unit": "generic_cache_creation_token", "public_unit_label": "/ 1K tokens", "quantity": 1000, "quantity_is_estimate": false, "rate_role": "typed_native_retail_rate", "side": "in", "unit": "generic_cache_creation_token" }, { "amount": null, "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "cache_write_1h_price", "label": "Cache write, 1 hour", "native_amount_usd_per_unit": null, "native_quantity": 1, "native_unit": "one_hour_cache_creation_token", "public_unit_label": "/ 1K tokens", "quantity": 1000, "quantity_is_estimate": false, "rate_role": "typed_native_retail_rate", "side": "in", "unit": "one_hour_cache_creation_token" } ] } ], "examples": [ { "code": "set -eu\n: \"${AILOOT_API_KEY:?Set your Ailoot API key}\"\nexport AILOOT_API_KEY\npython3 - <<'PY_REQUEST'\nimport json,os\nfrom pathlib import Path\np=json.loads('{\"model\": \"dots-studio/dots-3-note-preview:free\", \"messages\": [{\"role\": \"user\", \"content\": \"Summarize the supplied text in three concise points.\"}], \"stream\": false, \"max_tokens\": 256}')\n\nPath(\"request.json\").write_text(json.dumps(p,ensure_ascii=False))\nPY_REQUEST\ncurl --fail-with-body --silent --show-error https://api.ailoot.ai/v1/messages \\\n -H \"Authorization: Bearer $AILOOT_API_KEY\" -H 'Content-Type: application/json' \\\n --data-binary @request.json -D response-headers.txt -o result.json\n# Submit once. Retain the complete result, original identifiers and every response header.\n", "label": "curl · create once and retain the complete result", "language": "bash" } ], "family": "anthropic", "fast_multiplier": 1, "flex_multiplier": 1, "fmt": "messages", "http": "POST", "img_in": null, "img_out": null, "in": 0, "input": [ "text" ], "label": "Anthropic Messages", "max_out": 460800, "max_reasoning_effort_multiplier": 1, "method_aliases": [], "out": 0, "output": [ "text" ], "path": "/v1/messages", "price_conditions": [ { "label": "Fast mode", "value": "Standard rate", "when": "When fast mode is selected" }, { "label": "Flex mode", "value": "Standard rate", "when": "When flex mode is selected" }, { "label": "Maximum reasoning effort", "value": "Standard rate", "when": "When maximum reasoning effort uses the default adjustment" }, { "label": "Text-only zero rates", "value": "Text input and output only. Cache, tools, media and streaming are unavailable.", "when": "For text-only input and output" } ], "pricing": { "billing_mode": "token", "cache_read_price": null, "cache_write_1h_price": null, "cache_write_price": null, "fast_multiplier": 1, "flex_multiplier": 1, "image_input_price": null, "image_output_price": null, "input_price": 0, "intervals": [], "max_reasoning_effort_multiplier": 1, "output_price": 0, "per_request_price": null }, "pricing_profiles": [ { "dimensions": { "regime": "base" }, "label": "Base token rates", "units": [ { "amount": "0", "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "input_price", "label": "Input tokens", "native_amount_usd_per_unit": "0", "native_quantity": 1, "native_unit": "input_token", "public_unit_label": "/ 1K tokens", "quantity": 1000, "quantity_is_estimate": false, "rate_role": "typed_native_retail_rate", "side": "in", "unit": "input_token" }, { "amount": "0", "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "output_price", "label": "Output tokens", "native_amount_usd_per_unit": "0", "native_quantity": 1, "native_unit": "output_token", "public_unit_label": "/ 1K tokens", "quantity": 1000, "quantity_is_estimate": false, "rate_role": "typed_native_retail_rate", "side": "out", "unit": "output_token" }, { "amount": null, "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "cache_read_price", "label": "Cache read", "native_amount_usd_per_unit": null, "native_quantity": 1, "native_unit": "cached_input_token", "public_unit_label": "/ 1K tokens", "quantity": 1000, "quantity_is_estimate": false, "rate_role": "typed_native_retail_rate", "side": "in", "unit": "cached_input_token" }, { "amount": null, "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "cache_write_price", "label": "Cache write", "native_amount_usd_per_unit": null, "native_quantity": 1, "native_unit": "generic_cache_creation_token", "public_unit_label": "/ 1K tokens", "quantity": 1000, "quantity_is_estimate": false, "rate_role": "typed_native_retail_rate", "side": "in", "unit": "generic_cache_creation_token" }, { "amount": null, "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "cache_write_1h_price", "label": "Cache write, 1 hour", "native_amount_usd_per_unit": null, "native_quantity": 1, "native_unit": "one_hour_cache_creation_token", "public_unit_label": "/ 1K tokens", "quantity": 1000, "quantity_is_estimate": false, "rate_role": "typed_native_retail_rate", "side": "in", "unit": "one_hour_cache_creation_token" } ] } ], "request_model_id": "dots-studio/dots-3-note-preview:free", "route_label": "Ultra", "status_reads": [], "tiers": [], "unit": "token", "units": [ { "amount": "0", "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "input_price", "label": "Input tokens", "native_amount_usd_per_unit": "0", "native_quantity": 1, "native_unit": "input_token", "public_unit_label": "/ 1K tokens", "quantity": 1000, "quantity_is_estimate": false, "rate_role": "typed_native_retail_rate", "side": "in", "unit": "input_token" }, { "amount": "0", "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "output_price", "label": "Output tokens", "native_amount_usd_per_unit": "0", "native_quantity": 1, "native_unit": "output_token", "public_unit_label": "/ 1K tokens", "quantity": 1000, "quantity_is_estimate": false, "rate_role": "typed_native_retail_rate", "side": "out", "unit": "output_token" }, { "amount": null, "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "cache_read_price", "label": "Cache read", "native_amount_usd_per_unit": null, "native_quantity": 1, "native_unit": "cached_input_token", "public_unit_label": "/ 1K tokens", "quantity": 1000, "quantity_is_estimate": false, "rate_role": "typed_native_retail_rate", "side": "in", "unit": "cached_input_token" }, { "amount": null, "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "cache_write_price", "label": "Cache write", "native_amount_usd_per_unit": null, "native_quantity": 1, "native_unit": "generic_cache_creation_token", "public_unit_label": "/ 1K tokens", "quantity": 1000, "quantity_is_estimate": false, "rate_role": "typed_native_retail_rate", "side": "in", "unit": "generic_cache_creation_token" }, { "amount": null, "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "cache_write_1h_price", "label": "Cache write, 1 hour", "native_amount_usd_per_unit": null, "native_quantity": 1, "native_unit": "one_hour_cache_creation_token", "public_unit_label": "/ 1K tokens", "quantity": 1000, "quantity_is_estimate": false, "rate_role": "typed_native_retail_rate", "side": "in", "unit": "one_hour_cache_creation_token" } ] } } ], "model_id": "dots-studio/dots-3-note-preview:free", "nativeProvenance": { "input_facts_canonical_sha256": "ece2bf48e955309958aca116dc4e777f32213c99e476902cb0b59609475cdb0a", "input_html_sha256": "bd856a2b5880ece4c32ef29940f3b106a0ae7f49eae9ef21aafb564dfb1ef69f", "private_audit_sha256": "339227dc62ff6c37224eaff870fbf4f38a0bd02b6e9136fc4a193978a89a7987", "role": "historical-normalized-input-audit-hashes", "schema": "ailoot-native-model-provenance-v2" }, "page": { "canonical": "https://ailoot.ai/models/uz/dots-studio-dots-3-note-preview-u003a-free/", "description": "Dots Studio’ning dots3-note Preview’i mulohaza, dasturlash va agent jarayonlari uchun multimodal MoE modelidir. Ishlab chiqaruvchi jami 280B va faol 16B parametr, 512K kontekst, matn/tasvir/video/audio kirishi hamda matn chiqishini ko‘rsatadi.", "locale": "uz", "md_url": "https://ailoot.ai/models/uz/dots-studio-dots-3-note-preview-u003a-free/index.md", "title": "Dots Studio: Dots3-Note Preview (free) — Ailoot", "url": "https://ailoot.ai/models/uz/dots-studio-dots-3-note-preview-u003a-free/" }, "rawModel": { "about": "dots3-note Preview — Dots Studio’ning dots3 multimodal oilasidagi yengil a’zosi. Ishlab chiqaruvchi jami 280B parametr, faol 16B parametr va 512K tokengacha kontekstni qo‘llab-quvvatlaydigan mixture-of-experts modelini ko‘rsatadi. U matn, tasvir, video va audio qabul qilib, matn chiqaradi; umumiy bilim, ko‘rsatmalar, mulohaza, dasturlash va agentga yo‘naltirilgan ish uning aytilgan vazifalari qatoriga kiradi.\n\nTil asosida bitta zich qatlam va 45 ekspert qatlami bor; umumiy ekspert bilan birga 256 tadan sakkizta yo‘naltiriladigan ekspert tanlanadi. Uning diqqati 13 siyrak diqqat qatlamini va 33 sirpanuvchi oyna qatlamini birlashtiradi. Ishlab chiqaruvchi alohida vizual va audio enkoderlar hamda umumiy bashorat qatlamini ko‘rsatadi. Bu komponentlar multimodal tushunishni qo‘llab-quvvatlaydi; model chiqishi yaratilgan tasvir, nutq yoki video emas, matn bo‘lib qoladi.\n\nVizual tahlilda tasvir, sahifa yoki grafikni taqdim eting va qarorga ta’sir qiladigan xususiyat haqida so‘rang. Foydali hujjat vazifasi ko‘rinadigan jadvalni yozma talab bilan taqqoslab, tegishli qator, talqin va har qanday yetishmayotgan ma’lumotni qaytarishi mumkin. Video uchun tekshiriladigan voqea yoki ketma-ketlikni belgilang; klipda audio bo‘lsa, ishlab chiqaruvchining kirish misoli audio yo‘lakni ham o‘z ichiga oladi.\n\nAudio uchun vazifaga transkript yoki material tushuntirishi kerakligini ayting va talqin uchun zarur nomlar yoki soha atamalarini bering. Qo‘shma topshiriq yozuvni yozma fon ma’lumoti bilan birga ishlatib, topilmalarni ular javob beradigan savollar bo‘yicha tashkil qilishni so‘rashi mumkin. Natija ilova ko‘rsatishi yoki qayta ishlashi uchun matnli artefaktdir.\n\nIshlab chiqaruvchining suhbat shabloni fikrlashni bevosita javobdan ajratadi. Fikrlashni yoqish mulohaza bosqichini qo‘shadi; o‘chirish javobni bevosita qaytaradi. Hujjatlashtirilgan namunada temperature 1.0 va top-p 0.95 ishlatiladi. Vazifa va kerakli natijani aniq tanlang hamda namunaviy token ajratmasini modelning qat’iy chiqish chegarasi deb bilish o‘rniga javob uchun yetarli generatsiya joyini qoldiring.\n\nDasturlash vazifasida tegishli manba, kutilgan xatti-harakat va kuzatilgan nosozlik yoki so‘ralgan o‘zgarishni bering. Taklif qilingan artefakt va uni baholaydigan tekshiruvlarni so‘rang. Ulangan agent jarayonida model vosita bilan o‘zaro ta’sirlarni taklif qiladi, ilova esa ularni bajarib, natijalarni qaytaradi. Ishlab chiqaruvchi maxsus vosita chaqiruvi parserini e’lon qiladi; haqiqiy vositalar va ularga kirishni atrofdagi ilova beradi.\n\nInteraktiv ish izlanish, moslashish va vazifaning ish xotirasini yangilashni talab qilishi mumkin. Maqsad, tasdiqlangan topilmalar va hal etilmagan shartning ixcham yozuvini saqlang. Keyingi navbatdan yangi dalil nimani o‘zgartirishi va yozuvda nima qolishi kerakligini aniqlashni so‘rang. Yozuvni doimiy saqlash va harakatlarni bajarish model atrofidagi ilovaga tegishli.\n\nIshlab chiqaruvchi alohida BF16 va FP8 artefaktlarini hamda turlicha sozlangan kontekst uzunliklariga ega mahalliy xizmat retseptlarini e’lon qiladi. Sozlangan xizmat uzunligi 512K model spetsifikatsiyasidan alohida. Modelni aniqlaganda Preview nashri va aniqlik farqlarini saqlang, topilma, taklif qilingan o‘zgarish va jarayon haqiqatan yig‘gan dalillarni aytadigan yakuniy natijani so‘rang.", "alias_of": null, "aliases": [], "author": "Dots Studio", "capabilities": { "context_length": 512000, "manufacturer_input": [ "text", "image" ], "manufacturer_output": [ "text" ] }, "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": "Konfiguratsiya narxlari tafsilotlarda to‘liq ko‘rsatilgan." } ], "ctx": null, "formats": [ "chat", "messages" ], "id": "dots-studio/dots-3-note-preview:free", "input": [ "text" ], "kind": "text", "max_out": null, "methods": [ { "available": null, "cache_read": null, "cache_write": null, "cache_write_1h": null, "contract": { "data": { "all_results": "Retain the complete response, all actual results, original identifiers, usage and response headers.", "authentication": { "api_key_source": "AILOOT_API_KEY", "header": "Authorization: Bearer" }, "example_body": { "messages": [ { "content": "Summarize the supplied text in three concise points.", "role": "user" } ], "model": "dots-studio/dots-3-note-preview:free", "stream": false }, "lifecycle": { "cancel_endpoint": null, "create": { "http": "POST", "path": "/v1/chat/completions" }, "mode": "synchronous_json", "status": [], "unknown": "Preserve the original response, headers and X-Client-Request-ID. An uncertain outcome does not authorize another creation.", "unknown_no_replay": true }, "outputs": { "all_results": "Retain the complete response, all actual results, original identifiers, usage and response headers.", "family": "text", "format": "JSON" }, "parameters": [ { "default_known": false, "enum": [ "dots-studio/dots-3-note-preview:free" ], "enum_known": true, "name": "model", "required": true, "type": "string" }, { "default_known": false, "enum_known": false, "items": { "additionalProperties": false, "properties": { "content": { "type": "string" }, "role": { "enum": [ "user", "assistant", "system", "developer" ], "type": "string" } }, "required": [ "role", "content" ], "type": "object" }, "minItems": 1, "name": "messages", "required": true, "type": "array" }, { "default": false, "default_known": true, "enum": [ false ], "enum_known": true, "name": "stream", "required": false, "type": "boolean" }, { "default_known": false, "enum_known": false, "maximum": 460800, "minimum": 1, "name": "max_tokens", "required": false, "type": "integer" }, { "default_known": false, "enum_known": false, "maximum": 460800, "minimum": 1, "name": "max_completion_tokens", "required": false, "type": "integer" }, { "default_known": false, "enum_known": false, "maximum": 128, "minimum": 1, "name": "n", "required": false, "type": "integer" }, { "default_known": false, "enum_known": false, "name": "temperature", "required": false, "type": "number" }, { "default_known": false, "enum_known": false, "name": "top_p", "required": false, "type": "number" }, { "default_known": false, "enum_known": false, "name": "seed", "required": false, "type": "integer" }, { "default_known": false, "enum_known": false, "name": "stop", "oneOf": [ { "type": "string" }, { "items": { "type": "string" }, "type": "array" } ], "required": false }, { "default_known": false, "enum_known": false, "name": "frequency_penalty", "required": false, "type": "number" }, { "default_known": false, "enum_known": false, "name": "presence_penalty", "required": false, "type": "number" }, { "default_known": false, "enum_known": false, "name": "user", "required": false, "type": "string" } ], "request_schema": { "additionalProperties": false, "properties": { "frequency_penalty": { "type": "number" }, "max_completion_tokens": { "maximum": 460800, "minimum": 1, "type": "integer" }, "max_tokens": { "maximum": 460800, "minimum": 1, "type": "integer" }, "messages": { "items": { "additionalProperties": false, "properties": { "content": { "type": "string" }, "role": { "enum": [ "user", "assistant", "system", "developer" ], "type": "string" } }, "required": [ "role", "content" ], "type": "object" }, "minItems": 1, "type": "array" }, "model": { "enum": [ "dots-studio/dots-3-note-preview:free" ], "type": "string" }, "n": { "maximum": 128, "minimum": 1, "type": "integer" }, "presence_penalty": { "type": "number" }, "seed": { "type": "integer" }, "stop": { "oneOf": [ { "type": "string" }, { "items": { "type": "string" }, "type": "array" } ] }, "stream": { "default": false, "enum": [ false ], "type": "boolean" }, "temperature": { "type": "number" }, "top_p": { "type": "number" }, "user": { "type": "string" } }, "required": [ "model", "messages" ], "type": "object" }, "schema_template": { "body": { "messages": [ { "content": "Summarize the supplied text in three concise points.", "role": "user" } ], "model": "dots-studio/dots-3-note-preview:free", "stream": false }, "content_type": "application/json" } }, "input": { "conditions": [ "Use literal text messages only. Cache controls, tools, image/audio/video content and streamed responses are unavailable for this method.", "The complete encoded JSON request must not exceed 512000 bytes." ], "content_type": "application/json", "material_types": [ "text" ], "optional": [ "stream", "max_tokens", "max_completion_tokens", "n", "temperature", "top_p", "seed", "stop", "frequency_penalty", "presence_penalty", "user" ], "required": [ "model", "messages" ] }, "lifecycle": { "cancel_endpoint": null, "create": { "http": "POST", "path": "/v1/chat/completions" }, "mode": "synchronous_json", "status": [], "unknown": "Preserve the original response, headers and X-Client-Request-ID. An uncertain outcome does not authorize another creation.", "unknown_no_replay": true }, "method": { "http": "POST", "path": "/v1/chat/completions" }, "method_aliases": [], "output": { "all_results": "Retain the complete response, all actual results, original identifiers, usage and response headers.", "family": "text", "format": "JSON" } }, "ctx": 512000, "declared_pricing_profiles": [ { "dimensions": { "regime": "base" }, "label": "Base token rates", "units": [ { "amount": "0", "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "input_price", "label": "Input tokens", "native_amount_usd_per_unit": "0", "native_quantity": 1, "native_unit": "input_token", "public_unit_label": "/ 1K tokens", "quantity": 1000, "quantity_is_estimate": false, "rate_role": "typed_native_retail_rate", "side": "in", "unit": "input_token" }, { "amount": "0", "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "output_price", "label": "Output tokens", "native_amount_usd_per_unit": "0", "native_quantity": 1, "native_unit": "output_token", "public_unit_label": "/ 1K tokens", "quantity": 1000, "quantity_is_estimate": false, "rate_role": "typed_native_retail_rate", "side": "out", "unit": "output_token" }, { "amount": null, "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "cache_read_price", "label": "Cache read", "native_amount_usd_per_unit": null, "native_quantity": 1, "native_unit": "cached_input_token", "public_unit_label": "/ 1K tokens", "quantity": 1000, "quantity_is_estimate": false, "rate_role": "typed_native_retail_rate", "side": "in", "unit": "cached_input_token" }, { "amount": null, "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "cache_write_price", "label": "Cache write", "native_amount_usd_per_unit": null, "native_quantity": 1, "native_unit": "generic_cache_creation_token", "public_unit_label": "/ 1K tokens", "quantity": 1000, "quantity_is_estimate": false, "rate_role": "typed_native_retail_rate", "side": "in", "unit": "generic_cache_creation_token" }, { "amount": null, "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "cache_write_1h_price", "label": "Cache write, 1 hour", "native_amount_usd_per_unit": null, "native_quantity": 1, "native_unit": "one_hour_cache_creation_token", "public_unit_label": "/ 1K tokens", "quantity": 1000, "quantity_is_estimate": false, "rate_role": "typed_native_retail_rate", "side": "in", "unit": "one_hour_cache_creation_token" } ] } ], "examples": [ { "code": "set -eu\n: \"${AILOOT_API_KEY:?Set your Ailoot API key}\"\nexport AILOOT_API_KEY\npython3 - <<'PY_REQUEST'\nimport json,os\nfrom pathlib import Path\np=json.loads('{\"model\": \"dots-studio/dots-3-note-preview:free\", \"messages\": [{\"role\": \"user\", \"content\": \"Summarize the supplied text in three concise points.\"}], \"stream\": false}')\n\nPath(\"request.json\").write_text(json.dumps(p,ensure_ascii=False))\nPY_REQUEST\ncurl --fail-with-body --silent --show-error https://api.ailoot.ai/v1/chat/completions \\\n -H \"Authorization: Bearer $AILOOT_API_KEY\" -H 'Content-Type: application/json' \\\n --data-binary @request.json -D response-headers.txt -o result.json\n# Submit once. Retain the complete result, original identifiers and every response header.\n", "label": "curl · create once and retain the complete result", "language": "bash" } ], "family": "openai", "fast_multiplier": 1, "flex_multiplier": 1, "fmt": "chat", "hints": [ "Send exact model ID with messages.", "Context length is not an output cap.", "A text file may supply literal text; image/audio/file-object inputs need exact binding." ], "http": "POST", "img_in": null, "img_out": null, "in": 0, "input": [ "text" ], "label": "OpenAI Chat", "max_out": 460800, "max_reasoning_effort_multiplier": 1, "method_aliases": [], "out": 0, "output": [ "text" ], "path": "/v1/chat/completions", "price_conditions": [ { "label": "Fast mode", "value": "Standard rate", "when": "When fast mode is selected" }, { "label": "Flex mode", "value": "Standard rate", "when": "When flex mode is selected" }, { "label": "Maximum reasoning effort", "value": "Standard rate", "when": "When maximum reasoning effort uses the default adjustment" }, { "label": "Explicit cache pricing", "value": "Not enabled", "when": "When explicit cache is requested" }, { "label": "Text-only zero rates", "value": "Text input and output only. Cache, tools, media and streaming are unavailable.", "when": "For text-only input and output" } ], "pricing": { "allow_explicit_cache": false, "billing_mode": "token", "cache_read_price": null, "cache_write_1h_price": null, "cache_write_price": null, "fast_multiplier": 1, "flex_multiplier": 1, "image_input_price": null, "image_output_price": null, "input_price": 0, "intervals": [], "max_reasoning_effort_multiplier": 1, "output_price": 0, "per_request_price": null }, "pricing_profiles": [ { "dimensions": { "regime": "base" }, "label": "Base token rates", "units": [ { "amount": "0", "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "input_price", "label": "Input tokens", "native_amount_usd_per_unit": "0", "native_quantity": 1, "native_unit": "input_token", "public_unit_label": "/ 1K tokens", "quantity": 1000, "quantity_is_estimate": false, "rate_role": "typed_native_retail_rate", "side": "in", "unit": "input_token" }, { "amount": "0", "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "output_price", "label": "Output tokens", "native_amount_usd_per_unit": "0", "native_quantity": 1, "native_unit": "output_token", "public_unit_label": "/ 1K tokens", "quantity": 1000, "quantity_is_estimate": false, "rate_role": "typed_native_retail_rate", "side": "out", "unit": "output_token" }, { "amount": null, "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "cache_read_price", "label": "Cache read", "native_amount_usd_per_unit": null, "native_quantity": 1, "native_unit": "cached_input_token", "public_unit_label": "/ 1K tokens", "quantity": 1000, "quantity_is_estimate": false, "rate_role": "typed_native_retail_rate", "side": "in", "unit": "cached_input_token" }, { "amount": null, "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "cache_write_price", "label": "Cache write", "native_amount_usd_per_unit": null, "native_quantity": 1, "native_unit": "generic_cache_creation_token", "public_unit_label": "/ 1K tokens", "quantity": 1000, "quantity_is_estimate": false, "rate_role": "typed_native_retail_rate", "side": "in", "unit": "generic_cache_creation_token" }, { "amount": null, "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "cache_write_1h_price", "label": "Cache write, 1 hour", "native_amount_usd_per_unit": null, "native_quantity": 1, "native_unit": "one_hour_cache_creation_token", "public_unit_label": "/ 1K tokens", "quantity": 1000, "quantity_is_estimate": false, "rate_role": "typed_native_retail_rate", "side": "in", "unit": "one_hour_cache_creation_token" } ] } ], "request_model_id": "dots-studio/dots-3-note-preview:free", "route_label": "Ultra", "status_reads": [], "tiers": [], "unit": "token", "units": [ { "amount": "0", "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "input_price", "label": "Input tokens", "native_amount_usd_per_unit": "0", "native_quantity": 1, "native_unit": "input_token", "public_unit_label": "/ 1K tokens", "quantity": 1000, "quantity_is_estimate": false, "rate_role": "typed_native_retail_rate", "side": "in", "unit": "input_token" }, { "amount": "0", "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "output_price", "label": "Output tokens", "native_amount_usd_per_unit": "0", "native_quantity": 1, "native_unit": "output_token", "public_unit_label": "/ 1K tokens", "quantity": 1000, "quantity_is_estimate": false, "rate_role": "typed_native_retail_rate", "side": "out", "unit": "output_token" }, { "amount": null, "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "cache_read_price", "label": "Cache read", "native_amount_usd_per_unit": null, "native_quantity": 1, "native_unit": "cached_input_token", "public_unit_label": "/ 1K tokens", "quantity": 1000, "quantity_is_estimate": false, "rate_role": "typed_native_retail_rate", "side": "in", "unit": "cached_input_token" }, { "amount": null, "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "cache_write_price", "label": "Cache write", "native_amount_usd_per_unit": null, "native_quantity": 1, "native_unit": "generic_cache_creation_token", "public_unit_label": "/ 1K tokens", "quantity": 1000, "quantity_is_estimate": false, "rate_role": "typed_native_retail_rate", "side": "in", "unit": "generic_cache_creation_token" }, { "amount": null, "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "cache_write_1h_price", "label": "Cache write, 1 hour", "native_amount_usd_per_unit": null, "native_quantity": 1, "native_unit": "one_hour_cache_creation_token", "public_unit_label": "/ 1K tokens", "quantity": 1000, "quantity_is_estimate": false, "rate_role": "typed_native_retail_rate", "side": "in", "unit": "one_hour_cache_creation_token" } ] }, { "available": null, "cache_read": null, "cache_write": null, "cache_write_1h": null, "contract": { "data": { "all_results": "Retain the complete response, all actual results, original identifiers, usage and response headers.", "authentication": { "api_key_source": "AILOOT_API_KEY", "header": "Authorization: Bearer" }, "example_body": { "max_tokens": 256, "messages": [ { "content": "Summarize the supplied text in three concise points.", "role": "user" } ], "model": "dots-studio/dots-3-note-preview:free", "stream": false }, "lifecycle": { "cancel_endpoint": null, "create": { "http": "POST", "path": "/v1/messages" }, "mode": "synchronous_json", "status": [], "unknown": "Preserve the original response, headers and X-Client-Request-ID. An uncertain outcome does not authorize another creation.", "unknown_no_replay": true }, "outputs": { "all_results": "Retain the complete response, all actual results, original identifiers, usage and response headers.", "family": "text", "format": "JSON" }, "parameters": [ { "default_known": false, "enum": [ "dots-studio/dots-3-note-preview:free" ], "enum_known": true, "name": "model", "required": true, "type": "string" }, { "default_known": false, "enum_known": false, "items": { "additionalProperties": false, "properties": { "content": { "type": "string" }, "role": { "enum": [ "user", "assistant" ], "type": "string" } }, "required": [ "role", "content" ], "type": "object" }, "minItems": 1, "name": "messages", "required": true, "type": "array" }, { "default": false, "default_known": true, "enum": [ false ], "enum_known": true, "name": "stream", "required": false, "type": "boolean" }, { "default_known": false, "enum_known": false, "name": "system", "required": false, "type": "string" }, { "default_known": false, "enum_known": false, "maximum": 460800, "minimum": 1, "name": "max_tokens", "required": true, "type": "integer" }, { "default_known": false, "enum_known": false, "name": "temperature", "required": false, "type": "number" }, { "default_known": false, "enum_known": false, "name": "top_p", "required": false, "type": "number" }, { "default_known": false, "enum_known": false, "name": "top_k", "required": false, "type": "integer" }, { "default_known": false, "enum_known": false, "items": { "type": "string" }, "name": "stop_sequences", "required": false, "type": "array" }, { "default_known": false, "enum_known": false, "name": "metadata", "required": false, "type": "object" } ], "request_schema": { "additionalProperties": false, "properties": { "max_tokens": { "maximum": 460800, "minimum": 1, "type": "integer" }, "messages": { "items": { "additionalProperties": false, "properties": { "content": { "type": "string" }, "role": { "enum": [ "user", "assistant" ], "type": "string" } }, "required": [ "role", "content" ], "type": "object" }, "minItems": 1, "type": "array" }, "metadata": { "type": "object" }, "model": { "enum": [ "dots-studio/dots-3-note-preview:free" ], "type": "string" }, "stop_sequences": { "items": { "type": "string" }, "type": "array" }, "stream": { "default": false, "enum": [ false ], "type": "boolean" }, "system": { "type": "string" }, "temperature": { "type": "number" }, "top_k": { "type": "integer" }, "top_p": { "type": "number" } }, "required": [ "model", "messages", "max_tokens" ], "type": "object" }, "schema_template": { "body": { "max_tokens": 256, "messages": [ { "content": "Summarize the supplied text in three concise points.", "role": "user" } ], "model": "dots-studio/dots-3-note-preview:free", "stream": false }, "content_type": "application/json" } }, "input": { "conditions": [ "Use literal text messages only. Cache controls, tools, image/audio/video content and streamed responses are unavailable for this method.", "The complete encoded JSON request must not exceed 512000 bytes." ], "content_type": "application/json", "material_types": [ "text" ], "optional": [ "stream", "system", "temperature", "top_p", "top_k", "stop_sequences", "metadata" ], "required": [ "model", "messages", "max_tokens" ] }, "lifecycle": { "cancel_endpoint": null, "create": { "http": "POST", "path": "/v1/messages" }, "mode": "synchronous_json", "status": [], "unknown": "Preserve the original response, headers and X-Client-Request-ID. An uncertain outcome does not authorize another creation.", "unknown_no_replay": true }, "method": { "http": "POST", "path": "/v1/messages" }, "method_aliases": [], "output": { "all_results": "Retain the complete response, all actual results, original identifiers, usage and response headers.", "family": "text", "format": "JSON" } }, "ctx": 512000, "declared_pricing_profiles": [ { "dimensions": { "regime": "base" }, "label": "Base token rates", "units": [ { "amount": "0", "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "input_price", "label": "Input tokens", "native_amount_usd_per_unit": "0", "native_quantity": 1, "native_unit": "input_token", "public_unit_label": "/ 1K tokens", "quantity": 1000, "quantity_is_estimate": false, "rate_role": "typed_native_retail_rate", "side": "in", "unit": "input_token" }, { "amount": "0", "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "output_price", "label": "Output tokens", "native_amount_usd_per_unit": "0", "native_quantity": 1, "native_unit": "output_token", "public_unit_label": "/ 1K tokens", "quantity": 1000, "quantity_is_estimate": false, "rate_role": "typed_native_retail_rate", "side": "out", "unit": "output_token" }, { "amount": null, "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "cache_read_price", "label": "Cache read", "native_amount_usd_per_unit": null, "native_quantity": 1, "native_unit": "cached_input_token", "public_unit_label": "/ 1K tokens", "quantity": 1000, "quantity_is_estimate": false, "rate_role": "typed_native_retail_rate", "side": "in", "unit": "cached_input_token" }, { "amount": null, "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "cache_write_price", "label": "Cache write", "native_amount_usd_per_unit": null, "native_quantity": 1, "native_unit": "generic_cache_creation_token", "public_unit_label": "/ 1K tokens", "quantity": 1000, "quantity_is_estimate": false, "rate_role": "typed_native_retail_rate", "side": "in", "unit": "generic_cache_creation_token" }, { "amount": null, "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "cache_write_1h_price", "label": "Cache write, 1 hour", "native_amount_usd_per_unit": null, "native_quantity": 1, "native_unit": "one_hour_cache_creation_token", "public_unit_label": "/ 1K tokens", "quantity": 1000, "quantity_is_estimate": false, "rate_role": "typed_native_retail_rate", "side": "in", "unit": "one_hour_cache_creation_token" } ] } ], "examples": [ { "code": "set -eu\n: \"${AILOOT_API_KEY:?Set your Ailoot API key}\"\nexport AILOOT_API_KEY\npython3 - <<'PY_REQUEST'\nimport json,os\nfrom pathlib import Path\np=json.loads('{\"model\": \"dots-studio/dots-3-note-preview:free\", \"messages\": [{\"role\": \"user\", \"content\": \"Summarize the supplied text in three concise points.\"}], \"stream\": false, \"max_tokens\": 256}')\n\nPath(\"request.json\").write_text(json.dumps(p,ensure_ascii=False))\nPY_REQUEST\ncurl --fail-with-body --silent --show-error https://api.ailoot.ai/v1/messages \\\n -H \"Authorization: Bearer $AILOOT_API_KEY\" -H 'Content-Type: application/json' \\\n --data-binary @request.json -D response-headers.txt -o result.json\n# Submit once. Retain the complete result, original identifiers and every response header.\n", "label": "curl · create once and retain the complete result", "language": "bash" } ], "family": "anthropic", "fast_multiplier": 1, "flex_multiplier": 1, "fmt": "messages", "http": "POST", "img_in": null, "img_out": null, "in": 0, "input": [ "text" ], "label": "Anthropic Messages", "max_out": 460800, "max_reasoning_effort_multiplier": 1, "method_aliases": [], "out": 0, "output": [ "text" ], "path": "/v1/messages", "price_conditions": [ { "label": "Fast mode", "value": "Standard rate", "when": "When fast mode is selected" }, { "label": "Flex mode", "value": "Standard rate", "when": "When flex mode is selected" }, { "label": "Maximum reasoning effort", "value": "Standard rate", "when": "When maximum reasoning effort uses the default adjustment" }, { "label": "Text-only zero rates", "value": "Text input and output only. Cache, tools, media and streaming are unavailable.", "when": "For text-only input and output" } ], "pricing": { "billing_mode": "token", "cache_read_price": null, "cache_write_1h_price": null, "cache_write_price": null, "fast_multiplier": 1, "flex_multiplier": 1, "image_input_price": null, "image_output_price": null, "input_price": 0, "intervals": [], "max_reasoning_effort_multiplier": 1, "output_price": 0, "per_request_price": null }, "pricing_profiles": [ { "dimensions": { "regime": "base" }, "label": "Base token rates", "units": [ { "amount": "0", "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "input_price", "label": "Input tokens", "native_amount_usd_per_unit": "0", "native_quantity": 1, "native_unit": "input_token", "public_unit_label": "/ 1K tokens", "quantity": 1000, "quantity_is_estimate": false, "rate_role": "typed_native_retail_rate", "side": "in", "unit": "input_token" }, { "amount": "0", "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "output_price", "label": "Output tokens", "native_amount_usd_per_unit": "0", "native_quantity": 1, "native_unit": "output_token", "public_unit_label": "/ 1K tokens", "quantity": 1000, "quantity_is_estimate": false, "rate_role": "typed_native_retail_rate", "side": "out", "unit": "output_token" }, { "amount": null, "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "cache_read_price", "label": "Cache read", "native_amount_usd_per_unit": null, "native_quantity": 1, "native_unit": "cached_input_token", "public_unit_label": "/ 1K tokens", "quantity": 1000, "quantity_is_estimate": false, "rate_role": "typed_native_retail_rate", "side": "in", "unit": "cached_input_token" }, { "amount": null, "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "cache_write_price", "label": "Cache write", "native_amount_usd_per_unit": null, "native_quantity": 1, "native_unit": "generic_cache_creation_token", "public_unit_label": "/ 1K tokens", "quantity": 1000, "quantity_is_estimate": false, "rate_role": "typed_native_retail_rate", "side": "in", "unit": "generic_cache_creation_token" }, { "amount": null, "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "cache_write_1h_price", "label": "Cache write, 1 hour", "native_amount_usd_per_unit": null, "native_quantity": 1, "native_unit": "one_hour_cache_creation_token", "public_unit_label": "/ 1K tokens", "quantity": 1000, "quantity_is_estimate": false, "rate_role": "typed_native_retail_rate", "side": "in", "unit": "one_hour_cache_creation_token" } ] } ], "request_model_id": "dots-studio/dots-3-note-preview:free", "route_label": "Ultra", "status_reads": [], "tiers": [], "unit": "token", "units": [ { "amount": "0", "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "input_price", "label": "Input tokens", "native_amount_usd_per_unit": "0", "native_quantity": 1, "native_unit": "input_token", "public_unit_label": "/ 1K tokens", "quantity": 1000, "quantity_is_estimate": false, "rate_role": "typed_native_retail_rate", "side": "in", "unit": "input_token" }, { "amount": "0", "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "output_price", "label": "Output tokens", "native_amount_usd_per_unit": "0", "native_quantity": 1, "native_unit": "output_token", "public_unit_label": "/ 1K tokens", "quantity": 1000, "quantity_is_estimate": false, "rate_role": "typed_native_retail_rate", "side": "out", "unit": "output_token" }, { "amount": null, "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "cache_read_price", "label": "Cache read", "native_amount_usd_per_unit": null, "native_quantity": 1, "native_unit": "cached_input_token", "public_unit_label": "/ 1K tokens", "quantity": 1000, "quantity_is_estimate": false, "rate_role": "typed_native_retail_rate", "side": "in", "unit": "cached_input_token" }, { "amount": null, "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "cache_write_price", "label": "Cache write", "native_amount_usd_per_unit": null, "native_quantity": 1, "native_unit": "generic_cache_creation_token", "public_unit_label": "/ 1K tokens", "quantity": 1000, "quantity_is_estimate": false, "rate_role": "typed_native_retail_rate", "side": "in", "unit": "generic_cache_creation_token" }, { "amount": null, "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "cache_write_1h_price", "label": "Cache write, 1 hour", "native_amount_usd_per_unit": null, "native_quantity": 1, "native_unit": "one_hour_cache_creation_token", "public_unit_label": "/ 1K tokens", "quantity": 1000, "quantity_is_estimate": false, "rate_role": "typed_native_retail_rate", "side": "in", "unit": "one_hour_cache_creation_token" } ] } ], "model_aliases": [ { "canonical_model_id": "dots-studio/dots-3-note-preview:free", "request_model_id": "dots-studio/dots-3-note-preview:free", "route_label": "Ultra" } ], "name": "Dots Studio: Dots3-Note Preview (free)", "price": { "in": 0, "in_label": null, "out": 0, "out_label": null, "scope_label": "Token rates", "sort_in": 0, "sort_out": 0, "varies": true }, "short": "Dots Studio’ning dots3-note Preview’i mulohaza, dasturlash va agent jarayonlari uchun multimodal MoE modelidir. Ishlab chiqaruvchi jami 280B va faol 16B parametr, 512K kontekst, matn/tasvir/video/audio kirishi hamda matn chiqishini ko‘rsatadi." }, "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": "Dots Studio’ning dots3-note Preview’i mulohaza, dasturlash va agent jarayonlari uchun multimodal MoE modelidir. Ishlab chiqaruvchi jami 280B va faol 16B parametr, 512K kontekst, matn/tasvir/video/audio kirishi hamda matn chiqishini ko‘rsatadi.", "source": { "audit_sha256": "2e00086bcbfc28e64d0cebe97aa47c17d8d5618963027f8ffb9dc6123d7d25b1", "bridge_map_sha256": "1125275768b9636fc8461bc7da5061239a81ddfe508e2557843ca42c58ab0036", "raw_model_json_sha256": "cc41278e27b5e0b3d161202ecbd7bbcee2ca39e7bd0431ae96bc6a29e7fbeee9", "renderer_sha256": "aa8a0fca1bd770c042b64987512b6187fca2067aea3ddc877f68b163d80e7df6" }, "sourceRevision": "35b30c92f3ff0b35f3f47d2d407bafb828680e58fabed546cc5586a1bc1f9dd8" }