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Nemotron 3 Nano Omni 30B A3B Reasoning — NVIDIA kompaniyasining jami 30B, faol 3B parametrli modeli bo‘lib, korxona agent tizimlarida idrok va kontekst subagenti ishlari uchun tavsiflangan. Ushbu nashr uchun Ailoot usuli POST /v1/chat/completions orqali matnli suhbatdir. Aniq nvidia/nemotron-3-nano-omni-30b-a3b-reasoning:free model ID qiymatini tanlang va vazifa ko‘rsatmalari hamda manba matnini o‘z ichiga olgan bo‘sh bo‘lmagan messages massivini bering. Har bir xabarda system, developer, user yoki assistant role qiymati va oddiy satrli content bo‘ladi. Ixtiyoriy name satrdir; har bir xabarni shu maydonlar bilan cheklang. stream:false yuboring yoki stream ni kiritmang.

Undan berilgan materiallar majmuasini tekshirish va ilovaning keyingi bosqichi uchun aniq javob, solishtirish yoki kontekst bayonini qaytarishda foydalaning. Topshirish prompt i dastlabki savol, tegishli parchalar va cheklovlarni berib, so‘ng aniqlangan faktlar, hal qilinmagan savollar va har bir xulosani tasdiqlovchi manba parchalarini so‘rashi mumkin. Solishtirish uchun mezonlarni ayting va muqobillarning haqiqiy spetsifikatsiyalarini kiriting, shunda model bir xil dalillar bilan ishlay oladi.

Ushbu nashr matnli kirishni qabul qiladi va matnli chiqish beradi. Hujjat bilan ishlash uchun tegishli UTF-8 matnini xabar content maydoniga joylang hamda parchalarni ajratishga yordam beruvchi sarlavha yoki manba belgilarini saqlang. Keyingi savol uchun kerakli suhbat tarixini bering. Har qanday vosita bajarilishi yoki ma’lumot qidirishni atrofdagi ilovada saqlang va uning tayyor matnli natijalarini suhbatga uzating. Media kirishlari, vosita chaqirish boshqaruvlari va aniq kesh boshqaruvlari ushbu nashrning so‘rov profiliga kirmaydi.

Model sahifasida 256 000 tokenli kontekst oynasi va 65 536 tagacha javob tokeni ko‘rsatilgan. Ailoot, shuningdek, ko‘rsatmalar va maydon nomlari bilan birga butun UTF-8 JSON so‘rov tanasining 256 000 baytga sig‘ishini talab qiladi. Aniq chiqish chegarasi uchun max_tokens yoki max_completion_tokens dan aynan bittasini 1 dan 65 536 gacha musbat butun songa belgilang. Ikkalasi ham berilmasa, Ailoot 4 096 tokenli chiqish chegarasini uzatadi. To‘liq berilgan suhbat va so‘ralgan javobni tegishli chegaralar ichida saqlang. Javob bir-biriga bog‘liq ko‘p parchalarga tayansa, uzun kirish foydali, ammo maqsadli tanlov va aniq tayyor natija javob dalillarga amal qilishini tekshirishni osonlashtiradi. prompt tuzilmasi nomlangan bo‘limlar yoki jadvalni so‘rashi mumkin; qaytarilgan matnni sxema bilan majburiy tekshiriladigan obyekt deb taxmin qilmasdan, tayyor natija sifatida qabul qiling.

To‘liq javob uchun stream:false yuboring va to‘liq JSON ni saqlang. Yaratilgan matnni choices[].message.content ichidan o‘qing va har bir qaytarilgan choice, finish_reason, usage hamda berilgan har qanday reasoning maydonlarini saqlang. Jarayoningiz xulosani kirish manbasigacha kuzatishni talab qilsa, yakuniy javobda manba belgilarini saqlang. Boshqa ilova bosqichiga uzatishdan avval so‘ralgan javob to‘liq ekanini tekshiring.

Ushbu bepul nashr uchun ommaviy yoki sun’iy manba materialini tayyorlang; uning hujjatlashtirilgan foydalanish shartlari maxfiy axborot va shaxsiy ma’lumotlarni istisno qiladi. Javob to‘liq bo‘lmasa yoki yuborish natijasi noaniq bo‘lsa, mavjud urinishni tekshirish uchun dastlabki so‘rov identifikatori va javobni saqlang. Matn so‘rovi natijasini suhbat javobi orqali qaytaradi; ushbu karta uchun alohida asinxron topshiriq yoki bekor qilish yo‘li hujjatlashtirilmagan.

", "aboutText": "Nemotron 3 Nano Omni 30B A3B Reasoning — NVIDIA kompaniyasining jami 30B, faol 3B parametrli modeli bo‘lib, korxona agent tizimlarida idrok va kontekst subagenti ishlari uchun tavsiflangan. Ushbu nashr uchun Ailoot usuli POST /v1/chat/completions orqali matnli suhbatdir. Aniq nvidia/nemotron-3-nano-omni-30b-a3b-reasoning:free model ID qiymatini tanlang va vazifa ko‘rsatmalari hamda manba matnini o‘z ichiga olgan bo‘sh bo‘lmagan messages massivini bering. Har bir xabarda system, developer, user yoki assistant role qiymati va oddiy satrli content bo‘ladi. Ixtiyoriy name satrdir; har bir xabarni shu maydonlar bilan cheklang. stream:false yuboring yoki stream ni kiritmang.\n\nUndan berilgan materiallar majmuasini tekshirish va ilovaning keyingi bosqichi uchun aniq javob, solishtirish yoki kontekst bayonini qaytarishda foydalaning. Topshirish prompt i dastlabki savol, tegishli parchalar va cheklovlarni berib, so‘ng aniqlangan faktlar, hal qilinmagan savollar va har bir xulosani tasdiqlovchi manba parchalarini so‘rashi mumkin. Solishtirish uchun mezonlarni ayting va muqobillarning haqiqiy spetsifikatsiyalarini kiriting, shunda model bir xil dalillar bilan ishlay oladi.\n\nUshbu nashr matnli kirishni qabul qiladi va matnli chiqish beradi. Hujjat bilan ishlash uchun tegishli UTF-8 matnini xabar content maydoniga joylang hamda parchalarni ajratishga yordam beruvchi sarlavha yoki manba belgilarini saqlang. Keyingi savol uchun kerakli suhbat tarixini bering. Har qanday vosita bajarilishi yoki ma’lumot qidirishni atrofdagi ilovada saqlang va uning tayyor matnli natijalarini suhbatga uzating. Media kirishlari, vosita chaqirish boshqaruvlari va aniq kesh boshqaruvlari ushbu nashrning so‘rov profiliga kirmaydi.\n\nModel sahifasida 256 000 tokenli kontekst oynasi va 65 536 tagacha javob tokeni ko‘rsatilgan. Ailoot, shuningdek, ko‘rsatmalar va maydon nomlari bilan birga butun UTF-8 JSON so‘rov tanasining 256 000 baytga sig‘ishini talab qiladi. Aniq chiqish chegarasi uchun max_tokens yoki max_completion_tokens dan aynan bittasini 1 dan 65 536 gacha musbat butun songa belgilang. Ikkalasi ham berilmasa, Ailoot 4 096 tokenli chiqish chegarasini uzatadi. To‘liq berilgan suhbat va so‘ralgan javobni tegishli chegaralar ichida saqlang. Javob bir-biriga bog‘liq ko‘p parchalarga tayansa, uzun kirish foydali, ammo maqsadli tanlov va aniq tayyor natija javob dalillarga amal qilishini tekshirishni osonlashtiradi. prompt tuzilmasi nomlangan bo‘limlar yoki jadvalni so‘rashi mumkin; qaytarilgan matnni sxema bilan majburiy tekshiriladigan obyekt deb taxmin qilmasdan, tayyor natija sifatida qabul qiling.\n\nTo‘liq javob uchun stream:false yuboring va to‘liq JSON ni saqlang. Yaratilgan matnni choices[].message.content ichidan o‘qing va har bir qaytarilgan choice, finish_reason, usage hamda berilgan har qanday reasoning maydonlarini saqlang. Jarayoningiz xulosani kirish manbasigacha kuzatishni talab qilsa, yakuniy javobda manba belgilarini saqlang. Boshqa ilova bosqichiga uzatishdan avval so‘ralgan javob to‘liq ekanini tekshiring.\n\nUshbu bepul nashr uchun ommaviy yoki sun’iy manba materialini tayyorlang; uning hujjatlashtirilgan foydalanish shartlari maxfiy axborot va shaxsiy ma’lumotlarni istisno qiladi. Javob to‘liq bo‘lmasa yoki yuborish natijasi noaniq bo‘lsa, mavjud urinishni tekshirish uchun dastlabki so‘rov identifikatori va javobni saqlang. Matn so‘rovi natijasini suhbat javobi orqali qaytaradi; ushbu karta uchun alohida asinxron topshiriq yoki bekor qilish yo‘li hujjatlashtirilmagan.", "editorialOverlay": { "copy_fields": null, "copy_sha256": null, "copy_source": null, "html_sha256": "0052a0b64bafa2ee83f078744fb2555ee3355d186272ec458a330797051b68d0", "module_sha256": "ee9dc1c50b1e6a8fb7fa062030fcb4646b9aaaeb08be513b723a5a92a7290f06", "raw_model_unchanged": true, "schema": "ailoot-native-model-editorial-v1" }, "locale": "uz", "methods": [ { "html": "
NV

NVIDIA: Nemotron 3 Nano Omni 30B A3B Reasoning (free)

NVIDIA /nvidia/nemotron-3-nano-omni-30b-a3b-reasoning:free

Boshlash

Nemotron 3 Nano Omni 30B A3B Reasoning — NVIDIA kompaniyasining agent ilovalari ichida kontekstga yo‘naltirilgan ish uchun mulohaza yurituvchi modeli. Ushbu Ailoot nashri matnli suhbatlarni qabul qiladi va matn qaytaradi, kirish chegarasi 256 000 token va chiqishi 65 536 tokengacha. Aniq tahlil yoki keyingi bosqich uchun kontekst bayonini so‘rash uchun taqdim etilgan hujjatlar, savollar va cheklovlardan foydalaning.

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.

Nemotron 3 Nano Omni 30B A3B Reasoning — NVIDIA kompaniyasining jami 30B, faol 3B parametrli modeli bo‘lib, korxona agent tizimlarida idrok va kontekst subagenti ishlari uchun tavsiflangan. Ushbu nashr uchun Ailoot usuli POST /v1/chat/completions orqali matnli suhbatdir. Aniq nvidia/nemotron-3-nano-omni-30b-a3b-reasoning:free model ID qiymatini tanlang va vazifa ko‘rsatmalari hamda manba matnini o‘z ichiga olgan bo‘sh bo‘lmagan messages massivini bering. Har bir xabarda system, developer, user yoki assistant role qiymati va oddiy satrli content bo‘ladi. Ixtiyoriy name satrdir; har bir xabarni shu maydonlar bilan cheklang. stream:false yuboring yoki stream ni kiritmang.

Undan berilgan materiallar majmuasini tekshirish va ilovaning keyingi bosqichi uchun aniq javob, solishtirish yoki kontekst bayonini qaytarishda foydalaning. Topshirish prompt i dastlabki savol, tegishli parchalar va cheklovlarni berib, so‘ng aniqlangan faktlar, hal qilinmagan savollar va har bir xulosani tasdiqlovchi manba parchalarini so‘rashi mumkin. Solishtirish uchun mezonlarni ayting va muqobillarning haqiqiy spetsifikatsiyalarini kiriting, shunda model bir xil dalillar bilan ishlay oladi.

Ushbu nashr matnli kirishni qabul qiladi va matnli chiqish beradi. Hujjat bilan ishlash uchun tegishli UTF-8 matnini xabar content maydoniga joylang hamda parchalarni ajratishga yordam beruvchi sarlavha yoki manba belgilarini saqlang. Keyingi savol uchun kerakli suhbat tarixini bering. Har qanday vosita bajarilishi yoki ma’lumot qidirishni atrofdagi ilovada saqlang va uning tayyor matnli natijalarini suhbatga uzating. Media kirishlari, vosita chaqirish boshqaruvlari va aniq kesh boshqaruvlari ushbu nashrning so‘rov profiliga kirmaydi.

Model sahifasida 256 000 tokenli kontekst oynasi va 65 536 tagacha javob tokeni ko‘rsatilgan. Ailoot, shuningdek, ko‘rsatmalar va maydon nomlari bilan birga butun UTF-8 JSON so‘rov tanasining 256 000 baytga sig‘ishini talab qiladi. Aniq chiqish chegarasi uchun max_tokens yoki max_completion_tokens dan aynan bittasini 1 dan 65 536 gacha musbat butun songa belgilang. Ikkalasi ham berilmasa, Ailoot 4 096 tokenli chiqish chegarasini uzatadi. To‘liq berilgan suhbat va so‘ralgan javobni tegishli chegaralar ichida saqlang. Javob bir-biriga bog‘liq ko‘p parchalarga tayansa, uzun kirish foydali, ammo maqsadli tanlov va aniq tayyor natija javob dalillarga amal qilishini tekshirishni osonlashtiradi. prompt tuzilmasi nomlangan bo‘limlar yoki jadvalni so‘rashi mumkin; qaytarilgan matnni sxema bilan majburiy tekshiriladigan obyekt deb taxmin qilmasdan, tayyor natija sifatida qabul qiling.

To‘liq javob uchun stream:false yuboring va to‘liq JSON ni saqlang. Yaratilgan matnni choices[].message.content ichidan o‘qing va har bir qaytarilgan choice, finish_reason, usage hamda berilgan har qanday reasoning maydonlarini saqlang. Jarayoningiz xulosani kirish manbasigacha kuzatishni talab qilsa, yakuniy javobda manba belgilarini saqlang. Boshqa ilova bosqichiga uzatishdan avval so‘ralgan javob to‘liq ekanini tekshiring.

Ushbu bepul nashr uchun ommaviy yoki sun’iy manba materialini tayyorlang; uning hujjatlashtirilgan foydalanish shartlari maxfiy axborot va shaxsiy ma’lumotlarni istisno qiladi. Javob to‘liq bo‘lmasa yoki yuborish natijasi noaniq bo‘lsa, mavjud urinishni tekshirish uchun dastlabki so‘rov identifikatori va javobni saqlang. Matn so‘rovi natijasini suhbat javobi orqali qaytaradi; ushbu karta uchun alohida asinxron topshiriq yoki bekor qilish yo‘li hujjatlashtirilmagan.

Ailoot da mavjud · kirish ma’lumotlari va usullar

Ailoot Ultra · Chat Completions POST /v1/chat/completions
Kirish
text
Chiqish
text
Kontekst
256 000 tokens
Eng katta chiqish
65 536 tokens
Chiqish formati
JSON or supported SSE
MaydonTurTalabQiymatlar va cheklovlarStandart
MaydonmodelTurstringTalabMajburiyQiymatlar va cheklovlar
nvidia/nemotron-3-nano-omni-30b-a3b-reasoning:free
Standart—
MaydonmessagesTurarrayTalabMajburiyQiymatlar va cheklovlarStandart—
MaydonstreamTurbooleanTalabIxtiyoriyQiymatlar va cheklovlar
false
Standartfalse
Maydonmax_tokensTurintegerTalabIxtiyoriyQiymatlar va cheklovlar
Eng kam: 1
Eng ko‘p: 65 536
Standart—
Maydonmax_completion_tokensTurintegerTalabIxtiyoriyQiymatlar va cheklovlar
Eng kam: 1
Eng ko‘p: 65 536
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 256000 bytes.

Hayot sikli: synchronous_json_or_sse

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
Kesh, vositalar va media uchun alohida keltirilgan narxlash shartlari amal qiladi. 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 · Chat Completions

set -eu\n: "${AILOOT_API_KEY:?Set your Ailoot API key}"\nexport AILOOT_API_KEY\npython3 - <<'PY_REQUEST'\nimport json,os\nfrom pathlib import Path\np=json.loads('{"model": "nvidia/nemotron-3-nano-omni-30b-a3b-reasoning: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 · Chat Completions

JSON or supported SSE

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 nvidia/nemotron-3-nano-omni-30b-a3b-reasoning:free

Usul yo‘llari taxalluslari

Yuqorida ko‘rsatilgan usul yo‘llaridan foydalaning.

Chaqirish uchun tegishli ID lar

nvidia/nemotron-3-nano-omni-30b-a3b-reasoning:free

", "method_identity": { "effective_request_model_id": "nvidia/nemotron-3-nano-omni-30b-a3b-reasoning:free", "fmt": "chat", "http": "POST", "path": "/v1/chat/completions", "request_model_id": "nvidia/nemotron-3-nano-omni-30b-a3b-reasoning:free", "route_label": "Ultra" }, "method_key": "Ultra|chat|/v1/chat/completions|nvidia%2Fnemotron-3-nano-omni-30b-a3b-reasoning%3Afree", "ordinal": 0, "rawMethod": { "available": null, "cache_read": null, "cache_write": null, "cache_write_1h": null, "contract": { "data": { "all_results": "Retain the complete response, all actual results, original identifiers, usage and response headers.", "authentication": { "api_key_source": "AILOOT_API_KEY", "header": "Authorization: Bearer" }, "example_body": { "messages": [ { "content": "Summarize the supplied text in three concise points.", "role": "user" } ], "model": "nvidia/nemotron-3-nano-omni-30b-a3b-reasoning:free", "stream": false }, "lifecycle": { "cancel_endpoint": null, "create": { "http": "POST", "path": "/v1/chat/completions" }, "mode": "synchronous_json_or_sse", "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 or supported SSE" }, "parameters": [ { "default_known": false, "enum": [ "nvidia/nemotron-3-nano-omni-30b-a3b-reasoning: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": 65536, "minimum": 1, "name": "max_tokens", "required": false, "type": "integer" }, { "default_known": false, "enum_known": false, "maximum": 65536, "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": 65536, "minimum": 1, "type": "integer" }, "max_tokens": { "maximum": 65536, "minimum": 1, "type": "integer" }, "messages": { "items": { "additionalProperties": false, "properties": { "content": { "type": "string" }, "role": { "enum": [ "user", "assistant", "system", "developer" ], "type": "string" } }, "required": [ "role", "content" ], "type": "object" }, "minItems": 1, "type": "array" }, "model": { "enum": [ "nvidia/nemotron-3-nano-omni-30b-a3b-reasoning:free" ], "type": "string" }, "n": { "maximum": 128, "minimum": 1, "type": "integer" }, "presence_penalty": { "type": "number" }, "seed": { "type": "integer" }, "stop": { "oneOf": [ { "type": "string" }, { "items": { "type": "string" }, "type": "array" } ] }, "stream": { "default": false, "enum": [ false ], "type": "boolean" }, "temperature": { "type": "number" }, "top_p": { "type": "number" }, "user": { "type": "string" } }, "required": [ "model", "messages" ], "type": "object" }, "schema_template": { "body": { "messages": [ { "content": "Summarize the supplied text in three concise points.", "role": "user" } ], "model": "nvidia/nemotron-3-nano-omni-30b-a3b-reasoning: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 256000 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_or_sse", "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 or supported SSE" } }, "ctx": 256000, "declared_pricing_profiles": [ { "dimensions": { "regime": "base" }, "label": "Base token rates", "units": [ { "amount": "0", "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "input_price", "label": "Input tokens", "native_amount_usd_per_unit": "0", "native_quantity": 1, "native_unit": "input_token", "public_unit_label": "/ 1K tokens", "quantity": 1000, "quantity_is_estimate": false, "rate_role": "typed_native_retail_rate", "side": "in", "unit": "input_token" }, { "amount": "0", "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "output_price", "label": "Output tokens", "native_amount_usd_per_unit": "0", "native_quantity": 1, "native_unit": "output_token", "public_unit_label": "/ 1K tokens", "quantity": 1000, "quantity_is_estimate": false, "rate_role": "typed_native_retail_rate", "side": "out", "unit": "output_token" }, { "amount": null, "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "cache_read_price", "label": "Cache read", "native_amount_usd_per_unit": null, "native_quantity": 1, "native_unit": "cached_input_token", "public_unit_label": "/ 1K tokens", "quantity": 1000, "quantity_is_estimate": false, "rate_role": "typed_native_retail_rate", "side": "in", "unit": "cached_input_token" }, { "amount": null, "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "cache_write_price", "label": "Cache write", "native_amount_usd_per_unit": null, "native_quantity": 1, "native_unit": "generic_cache_creation_token", "public_unit_label": "/ 1K tokens", "quantity": 1000, "quantity_is_estimate": false, "rate_role": "typed_native_retail_rate", "side": "in", "unit": "generic_cache_creation_token" }, { "amount": null, "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "cache_write_1h_price", "label": "Cache write, 1 hour", "native_amount_usd_per_unit": null, "native_quantity": 1, "native_unit": "one_hour_cache_creation_token", "public_unit_label": "/ 1K tokens", "quantity": 1000, "quantity_is_estimate": false, "rate_role": "typed_native_retail_rate", "side": "in", "unit": "one_hour_cache_creation_token" } ] } ], "examples": [ { "code": "set -eu\n: \"${AILOOT_API_KEY:?Set your Ailoot API key}\"\nexport AILOOT_API_KEY\npython3 - <<'PY_REQUEST'\nimport json,os\nfrom pathlib import Path\np=json.loads('{\"model\": \"nvidia/nemotron-3-nano-omni-30b-a3b-reasoning: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", "http": "POST", "img_in": null, "img_out": null, "in": "0", "input": [ "text" ], "label": "Chat Completions", "max_out": 65536, "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": "Cache, tools and media follow their separately listed pricing conditions.", "when": "For text-only input and output" } ], "pricing": { "allow_explicit_cache": false, "billing_mode": "token", "cache_read_price": null, "cache_write_1h_price": null, "cache_write_price": null, "fast_multiplier": 1, "flex_multiplier": 1, "image_input_price": null, "image_output_price": null, "input_price": 0, "intervals": [], "max_reasoning_effort_multiplier": 1, "output_price": 0, "per_request_price": null }, "pricing_profiles": [ { "dimensions": { "regime": "base" }, "label": "Base token rates", "units": [ { "amount": "0", "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "input_price", "label": "Input tokens", "native_amount_usd_per_unit": "0", "native_quantity": 1, "native_unit": "input_token", "public_unit_label": "/ 1K tokens", "quantity": 1000, "quantity_is_estimate": false, "rate_role": "typed_native_retail_rate", "side": "in", "unit": "input_token" }, { "amount": "0", "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "output_price", "label": "Output tokens", "native_amount_usd_per_unit": "0", "native_quantity": 1, "native_unit": "output_token", "public_unit_label": "/ 1K tokens", "quantity": 1000, "quantity_is_estimate": false, "rate_role": "typed_native_retail_rate", "side": "out", "unit": "output_token" }, { "amount": null, "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "cache_read_price", "label": "Cache read", "native_amount_usd_per_unit": null, "native_quantity": 1, "native_unit": "cached_input_token", "public_unit_label": "/ 1K tokens", "quantity": 1000, "quantity_is_estimate": false, "rate_role": "typed_native_retail_rate", "side": "in", "unit": "cached_input_token" }, { "amount": null, "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "cache_write_price", "label": "Cache write", "native_amount_usd_per_unit": null, "native_quantity": 1, "native_unit": "generic_cache_creation_token", "public_unit_label": "/ 1K tokens", "quantity": 1000, "quantity_is_estimate": false, "rate_role": "typed_native_retail_rate", "side": "in", "unit": "generic_cache_creation_token" }, { "amount": null, "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "cache_write_1h_price", "label": "Cache write, 1 hour", "native_amount_usd_per_unit": null, "native_quantity": 1, "native_unit": "one_hour_cache_creation_token", "public_unit_label": "/ 1K tokens", "quantity": 1000, "quantity_is_estimate": false, "rate_role": "typed_native_retail_rate", "side": "in", "unit": "one_hour_cache_creation_token" } ] } ], "request_model_id": "nvidia/nemotron-3-nano-omni-30b-a3b-reasoning: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": "nvidia/nemotron-3-nano-omni-30b-a3b-reasoning:free", "nativeProvenance": { "input_facts_canonical_sha256": "be33c428c25665f9755738c9340866a98c4acd739f158d151152275682dd947d", "input_html_sha256": "103d4cba05cdd67415dd04804df692392a0071c5677bd81a85cce25da6c96373", "private_audit_sha256": "b94c2cc6a8f9418642a6c7d6631a8112d25862c7927b10415f3c7b63ccdc419b", "role": "historical-normalized-input-audit-hashes", "schema": "ailoot-native-model-provenance-v2" }, "page": { "canonical": "https://ailoot.ai/models/uz/nvidia-nemotron-3-nano-omni-30b-a3b-reasoning-u003a-free/", "description": "Nemotron 3 Nano Omni 30B A3B Reasoning — NVIDIA kompaniyasining agent ilovalari ichida kontekstga yo‘naltirilgan ish uchun mulohaza yurituvchi modeli. Ushbu Ailoot nashri matnli suhbatlarni qabul qiladi va matn qaytaradi, kirish chegarasi 256 000 token va chiqishi 65 536 tokengacha. Aniq tahlil yoki keyingi bosqich uchun kontekst bayonini so‘rash uchun taqdim etilgan hujjatlar, savollar va cheklovlardan foydalaning.", "locale": "uz", "md_url": "https://ailoot.ai/models/uz/nvidia-nemotron-3-nano-omni-30b-a3b-reasoning-u003a-free/index.md", "title": "NVIDIA: Nemotron 3 Nano Omni 30B A3B Reasoning (free) — Ailoot", "url": "https://ailoot.ai/models/uz/nvidia-nemotron-3-nano-omni-30b-a3b-reasoning-u003a-free/" }, "rawModel": { "about": "Nemotron 3 Nano Omni 30B A3B Reasoning — NVIDIA kompaniyasining jami 30B, faol 3B parametrli modeli bo‘lib, korxona agent tizimlarida idrok va kontekst subagenti ishlari uchun tavsiflangan. Ushbu nashr uchun Ailoot usuli POST /v1/chat/completions orqali matnli suhbatdir. Aniq nvidia/nemotron-3-nano-omni-30b-a3b-reasoning:free model ID qiymatini tanlang va vazifa ko‘rsatmalari hamda manba matnini o‘z ichiga olgan bo‘sh bo‘lmagan messages massivini bering. Har bir xabarda system, developer, user yoki assistant role qiymati va oddiy satrli content bo‘ladi. Ixtiyoriy name satrdir; har bir xabarni shu maydonlar bilan cheklang. stream:false yuboring yoki stream ni kiritmang.\n\nUndan berilgan materiallar majmuasini tekshirish va ilovaning keyingi bosqichi uchun aniq javob, solishtirish yoki kontekst bayonini qaytarishda foydalaning. Topshirish prompt i dastlabki savol, tegishli parchalar va cheklovlarni berib, so‘ng aniqlangan faktlar, hal qilinmagan savollar va har bir xulosani tasdiqlovchi manba parchalarini so‘rashi mumkin. Solishtirish uchun mezonlarni ayting va muqobillarning haqiqiy spetsifikatsiyalarini kiriting, shunda model bir xil dalillar bilan ishlay oladi.\n\nUshbu nashr matnli kirishni qabul qiladi va matnli chiqish beradi. Hujjat bilan ishlash uchun tegishli UTF-8 matnini xabar content maydoniga joylang hamda parchalarni ajratishga yordam beruvchi sarlavha yoki manba belgilarini saqlang. Keyingi savol uchun kerakli suhbat tarixini bering. Har qanday vosita bajarilishi yoki ma’lumot qidirishni atrofdagi ilovada saqlang va uning tayyor matnli natijalarini suhbatga uzating. Media kirishlari, vosita chaqirish boshqaruvlari va aniq kesh boshqaruvlari ushbu nashrning so‘rov profiliga kirmaydi.\n\nModel sahifasida 256 000 tokenli kontekst oynasi va 65 536 tagacha javob tokeni ko‘rsatilgan. Ailoot, shuningdek, ko‘rsatmalar va maydon nomlari bilan birga butun UTF-8 JSON so‘rov tanasining 256 000 baytga sig‘ishini talab qiladi. Aniq chiqish chegarasi uchun max_tokens yoki max_completion_tokens dan aynan bittasini 1 dan 65 536 gacha musbat butun songa belgilang. Ikkalasi ham berilmasa, Ailoot 4 096 tokenli chiqish chegarasini uzatadi. To‘liq berilgan suhbat va so‘ralgan javobni tegishli chegaralar ichida saqlang. Javob bir-biriga bog‘liq ko‘p parchalarga tayansa, uzun kirish foydali, ammo maqsadli tanlov va aniq tayyor natija javob dalillarga amal qilishini tekshirishni osonlashtiradi. prompt tuzilmasi nomlangan bo‘limlar yoki jadvalni so‘rashi mumkin; qaytarilgan matnni sxema bilan majburiy tekshiriladigan obyekt deb taxmin qilmasdan, tayyor natija sifatida qabul qiling.\n\nTo‘liq javob uchun stream:false yuboring va to‘liq JSON ni saqlang. Yaratilgan matnni choices[].message.content ichidan o‘qing va har bir qaytarilgan choice, finish_reason, usage hamda berilgan har qanday reasoning maydonlarini saqlang. Jarayoningiz xulosani kirish manbasigacha kuzatishni talab qilsa, yakuniy javobda manba belgilarini saqlang. Boshqa ilova bosqichiga uzatishdan avval so‘ralgan javob to‘liq ekanini tekshiring.\n\nUshbu bepul nashr uchun ommaviy yoki sun’iy manba materialini tayyorlang; uning hujjatlashtirilgan foydalanish shartlari maxfiy axborot va shaxsiy ma’lumotlarni istisno qiladi. Javob to‘liq bo‘lmasa yoki yuborish natijasi noaniq bo‘lsa, mavjud urinishni tekshirish uchun dastlabki so‘rov identifikatori va javobni saqlang. Matn so‘rovi natijasini suhbat javobi orqali qaytaradi; ushbu karta uchun alohida asinxron topshiriq yoki bekor qilish yo‘li hujjatlashtirilmagan.", "alias_of": null, "aliases": [], "author": "NVIDIA", "ctx": 256000, "formats": [ "chat" ], "id": "nvidia/nemotron-3-nano-omni-30b-a3b-reasoning:free", "input": [ "text" ], "kind": "text", "max_out": 65536, "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": "nvidia/nemotron-3-nano-omni-30b-a3b-reasoning:free", "stream": false }, "lifecycle": { "cancel_endpoint": null, "create": { "http": "POST", "path": "/v1/chat/completions" }, "mode": "synchronous_json_or_sse", "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 or supported SSE" }, "parameters": [ { "default_known": false, "enum": [ "nvidia/nemotron-3-nano-omni-30b-a3b-reasoning: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": 65536, "minimum": 1, "name": "max_tokens", "required": false, "type": "integer" }, { "default_known": false, "enum_known": false, "maximum": 65536, "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": 65536, "minimum": 1, "type": "integer" }, "max_tokens": { "maximum": 65536, "minimum": 1, "type": "integer" }, "messages": { "items": { "additionalProperties": false, "properties": { "content": { "type": "string" }, "role": { "enum": [ "user", "assistant", "system", "developer" ], "type": "string" } }, "required": [ "role", "content" ], "type": "object" }, "minItems": 1, "type": "array" }, "model": { "enum": [ "nvidia/nemotron-3-nano-omni-30b-a3b-reasoning:free" ], "type": "string" }, "n": { "maximum": 128, "minimum": 1, "type": "integer" }, "presence_penalty": { "type": "number" }, "seed": { "type": "integer" }, "stop": { "oneOf": [ { "type": "string" }, { "items": { "type": "string" }, "type": "array" } ] }, "stream": { "default": false, "enum": [ false ], "type": "boolean" }, "temperature": { "type": "number" }, "top_p": { "type": "number" }, "user": { "type": "string" } }, "required": [ "model", "messages" ], "type": "object" }, "schema_template": { "body": { "messages": [ { "content": "Summarize the supplied text in three concise points.", "role": "user" } ], "model": "nvidia/nemotron-3-nano-omni-30b-a3b-reasoning: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 256000 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_or_sse", "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 or supported SSE" } }, "ctx": 256000, "declared_pricing_profiles": [ { "dimensions": { "regime": "base" }, "label": "Base token rates", "units": [ { "amount": "0", "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "input_price", "label": "Input tokens", "native_amount_usd_per_unit": "0", "native_quantity": 1, "native_unit": "input_token", "public_unit_label": "/ 1K tokens", "quantity": 1000, "quantity_is_estimate": false, "rate_role": "typed_native_retail_rate", "side": "in", "unit": "input_token" }, { "amount": "0", "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "output_price", "label": "Output tokens", "native_amount_usd_per_unit": "0", "native_quantity": 1, "native_unit": "output_token", "public_unit_label": "/ 1K tokens", "quantity": 1000, "quantity_is_estimate": false, "rate_role": "typed_native_retail_rate", "side": "out", "unit": "output_token" }, { "amount": null, "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "cache_read_price", "label": "Cache read", "native_amount_usd_per_unit": null, "native_quantity": 1, "native_unit": "cached_input_token", "public_unit_label": "/ 1K tokens", "quantity": 1000, "quantity_is_estimate": false, "rate_role": "typed_native_retail_rate", "side": "in", "unit": "cached_input_token" }, { "amount": null, "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "cache_write_price", "label": "Cache write", "native_amount_usd_per_unit": null, "native_quantity": 1, "native_unit": "generic_cache_creation_token", "public_unit_label": "/ 1K tokens", "quantity": 1000, "quantity_is_estimate": false, "rate_role": "typed_native_retail_rate", "side": "in", "unit": "generic_cache_creation_token" }, { "amount": null, "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "cache_write_1h_price", "label": "Cache write, 1 hour", "native_amount_usd_per_unit": null, "native_quantity": 1, "native_unit": "one_hour_cache_creation_token", "public_unit_label": "/ 1K tokens", "quantity": 1000, "quantity_is_estimate": false, "rate_role": "typed_native_retail_rate", "side": "in", "unit": "one_hour_cache_creation_token" } ] } ], "examples": [ { "code": "set -eu\n: \"${AILOOT_API_KEY:?Set your Ailoot API key}\"\nexport AILOOT_API_KEY\npython3 - <<'PY_REQUEST'\nimport json,os\nfrom pathlib import Path\np=json.loads('{\"model\": \"nvidia/nemotron-3-nano-omni-30b-a3b-reasoning: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", "http": "POST", "img_in": null, "img_out": null, "in": "0", "input": [ "text" ], "label": "Chat Completions", "max_out": 65536, "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": "Cache, tools and media follow their separately listed pricing conditions.", "when": "For text-only input and output" } ], "pricing": { "allow_explicit_cache": false, "billing_mode": "token", "cache_read_price": null, "cache_write_1h_price": null, "cache_write_price": null, "fast_multiplier": 1, "flex_multiplier": 1, "image_input_price": null, "image_output_price": null, "input_price": 0, "intervals": [], "max_reasoning_effort_multiplier": 1, "output_price": 0, "per_request_price": null }, "pricing_profiles": [ { "dimensions": { "regime": "base" }, "label": "Base token rates", "units": [ { "amount": "0", "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "input_price", "label": "Input tokens", "native_amount_usd_per_unit": "0", "native_quantity": 1, "native_unit": "input_token", "public_unit_label": "/ 1K tokens", "quantity": 1000, "quantity_is_estimate": false, "rate_role": "typed_native_retail_rate", "side": "in", "unit": "input_token" }, { "amount": "0", "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "output_price", "label": "Output tokens", "native_amount_usd_per_unit": "0", "native_quantity": 1, "native_unit": "output_token", "public_unit_label": "/ 1K tokens", "quantity": 1000, "quantity_is_estimate": false, "rate_role": "typed_native_retail_rate", "side": "out", "unit": "output_token" }, { "amount": null, "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "cache_read_price", "label": "Cache read", "native_amount_usd_per_unit": null, "native_quantity": 1, "native_unit": "cached_input_token", "public_unit_label": "/ 1K tokens", "quantity": 1000, "quantity_is_estimate": false, "rate_role": "typed_native_retail_rate", "side": "in", "unit": "cached_input_token" }, { "amount": null, "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "cache_write_price", "label": "Cache write", "native_amount_usd_per_unit": null, "native_quantity": 1, "native_unit": "generic_cache_creation_token", "public_unit_label": "/ 1K tokens", "quantity": 1000, "quantity_is_estimate": false, "rate_role": "typed_native_retail_rate", "side": "in", "unit": "generic_cache_creation_token" }, { "amount": null, "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "cache_write_1h_price", "label": "Cache write, 1 hour", "native_amount_usd_per_unit": null, "native_quantity": 1, "native_unit": "one_hour_cache_creation_token", "public_unit_label": "/ 1K tokens", "quantity": 1000, "quantity_is_estimate": false, "rate_role": "typed_native_retail_rate", "side": "in", "unit": "one_hour_cache_creation_token" } ] } ], "request_model_id": "nvidia/nemotron-3-nano-omni-30b-a3b-reasoning:free", "route_label": "Ultra", "status_reads": [], "tiers": [], "unit": "token", "units": [ { "amount": "0", "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "input_price", "label": "Input tokens", "native_amount_usd_per_unit": "0", "native_quantity": 1, "native_unit": "input_token", "public_unit_label": "/ 1K tokens", "quantity": 1000, "quantity_is_estimate": false, "rate_role": "typed_native_retail_rate", "side": "in", "unit": "input_token" }, { "amount": "0", "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "output_price", "label": "Output tokens", "native_amount_usd_per_unit": "0", "native_quantity": 1, "native_unit": "output_token", "public_unit_label": "/ 1K tokens", "quantity": 1000, "quantity_is_estimate": false, "rate_role": "typed_native_retail_rate", "side": "out", "unit": "output_token" }, { "amount": null, "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "cache_read_price", "label": "Cache read", "native_amount_usd_per_unit": null, "native_quantity": 1, "native_unit": "cached_input_token", "public_unit_label": "/ 1K tokens", "quantity": 1000, "quantity_is_estimate": false, "rate_role": "typed_native_retail_rate", "side": "in", "unit": "cached_input_token" }, { "amount": null, "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "cache_write_price", "label": "Cache write", "native_amount_usd_per_unit": null, "native_quantity": 1, "native_unit": "generic_cache_creation_token", "public_unit_label": "/ 1K tokens", "quantity": 1000, "quantity_is_estimate": false, "rate_role": "typed_native_retail_rate", "side": "in", "unit": "generic_cache_creation_token" }, { "amount": null, "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "cache_write_1h_price", "label": "Cache write, 1 hour", "native_amount_usd_per_unit": null, "native_quantity": 1, "native_unit": "one_hour_cache_creation_token", "public_unit_label": "/ 1K tokens", "quantity": 1000, "quantity_is_estimate": false, "rate_role": "typed_native_retail_rate", "side": "in", "unit": "one_hour_cache_creation_token" } ] } ], "model_aliases": [ { "canonical_model_id": "nvidia/nemotron-3-nano-omni-30b-a3b-reasoning:free", "request_model_id": "nvidia/nemotron-3-nano-omni-30b-a3b-reasoning:free", "route_label": "Ultra" } ], "name": "NVIDIA: Nemotron 3 Nano Omni 30B A3B Reasoning (free)", "price": { "in": "0", "in_label": null, "out": "0", "out_label": null, "sort_in": "0", "sort_out": "0", "varies": false }, "short": "Nemotron 3 Nano Omni 30B A3B Reasoning — NVIDIA kompaniyasining agent ilovalari ichida kontekstga yo‘naltirilgan ish uchun mulohaza yurituvchi modeli. Ushbu Ailoot nashri matnli suhbatlarni qabul qiladi va matn qaytaradi, kirish chegarasi 256 000 token va chiqishi 65 536 tokengacha. Aniq tahlil yoki keyingi bosqich uchun kontekst bayonini so‘rash uchun taqdim etilgan hujjatlar, savollar va cheklovlardan foydalaning." }, "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": "Nemotron 3 Nano Omni 30B A3B Reasoning — NVIDIA kompaniyasining agent ilovalari ichida kontekstga yo‘naltirilgan ish uchun mulohaza yurituvchi modeli. Ushbu Ailoot nashri matnli suhbatlarni qabul qiladi va matn qaytaradi, kirish chegarasi 256 000 token va chiqishi 65 536 tokengacha. Aniq tahlil yoki keyingi bosqich uchun kontekst bayonini so‘rash uchun taqdim etilgan hujjatlar, savollar va cheklovlardan foydalaning.", "source": { "audit_sha256": "2e00086bcbfc28e64d0cebe97aa47c17d8d5618963027f8ffb9dc6123d7d25b1", "bridge_map_sha256": "1125275768b9636fc8461bc7da5061239a81ddfe508e2557843ca42c58ab0036", "raw_model_json_sha256": "19532e535f4ed62209f5d7c815917eb5629c8b1db6064666b4d20e2063f64921", "renderer_sha256": "aa8a0fca1bd770c042b64987512b6187fca2067aea3ddc877f68b163d80e7df6" }, "sourceRevision": "4b5614697512a4ed67b23f230a1daba1e29706a1ff46a09bfe0e3fe46f40baf8" }