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Nemotron 3.5 Content Safety — Gemma-3-4B asosida qo‘shimcha o‘qitilgan NVIDIA kompaniyasining 4B parametrli himoya modeli. Uning hujjatlashtirilgan vazifasi prompt va javob moderatsiyasi, kontent tasnifi hamda xavfsizlik siyosati jarayonlaridir. NVIDIA foydalanuvchi prompt i va javobini safe yoki unsafe deb baholaydigan, xavfsizlik toifasi belgilarini qo‘shadigan hamda ixtiyoriy ravishda mulohaza izini kiritadigan chiqishlarni tavsiflaydi. Baho ilova tekshirib qo‘llaydigan model natijasidir. 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.

POST /v1/chat/completions va bo‘sh bo‘lmagan messages massivi bilan aniq nvidia/nemotron-3.5-content-safety:free model ID qiymatidan foydalaning. Baholanadigan materialni matnli content ichiga joylang va ikkalasi ham ko‘rib chiqilganda foydalanuvchi prompt ini model javobidan ajrating. Amaliy moderatsiya qadami bu ikki parchani aniq belgilashi va bahoni berilgan mazmunga bog‘lagan holda tegishli toifalarni aniqlashni modeldan so‘rashi mumkin.

Ushbu Ailoot nashri matn qabul qiladi va matn qaytaradi. Tekshiruv navbati uchun baholanishi kerak bo‘lgan haqiqiy post, qo‘llab-quvvatlash xabari loyihasi yoki yaratilgan javobni, uning ma’nosini o‘zgartiradigan atrof konteksti bilan tayyorlang. Belgilangan elementni inson tekshiruviga yo‘naltirish kabi ilova qarorlarini o‘z jarayoningizda saqlang. Media kirishlari, vosita chaqirish boshqaruvlari va aniq kesh boshqaruvlari ushbu nashrning so‘rov profiliga kirmaydi.

Model sahifasida 128 000 tokenli kontekst oynasi va 8 192 tagacha javob tokeni ko‘rsatilgan. Ailoot, shuningdek, ko‘rsatmalar va maydon nomlari bilan birga butun UTF-8 JSON so‘rov tanasining 128 000 baytga sig‘ishini talab qiladi. Aniq chiqish chegarasi uchun max_tokens yoki max_completion_tokens dan aynan bittasini 1 dan 8 192 gacha musbat butun songa belgilang. Ikkalasi ham berilmasa, Ailoot 4 096 tokenli chiqish chegarasini uzatadi. To‘liq suhbat va so‘ralgan bahoni hisobga oling. Model tavsifi 12 til qamrovini bildiradi; baholash manba tiliga bog‘liq bo‘lsa, asl ifodani saqlang. Ilovangiz muayyan belgilarni kutsa, qaytarilgan matnni tanlangan ishlov qoidalariga muvofiq tahlil qilib tekshiring. JSON ga o‘xshash javob so‘rash sxema bilan majburiy tekshirilgan chiqishga kafolat bermaydi.

To‘liq JSON suhbat javobi uchun stream:false dan foydalaning. choices[].message.content ni o‘qing, har bir qaytarilgan choice va berilgan har qanday reasoning maydonlarini saqlang, finish_reason va usage ni ham saqlab qo‘ying. Qarorni keyin ko‘rib chiqish mumkin bo‘lishi uchun bahoni u baholaydigan aniq prompt va javob bilan saqlang. Bitta matn bahosi aynan o‘sha berilgan matn va kontekstga qo‘llanadi; mazmunan o‘zgartirilgan javobni alohida element sifatida baholang.

Ushbu bepul nashrning hujjatlashtirilgan foydalanish shartlari talab qilganidek, maxfiy axborot bo‘lmagan material tayyorlang. So‘rov to‘liq bahosiz tugasa, mavjud urinishni tekshirish davomida dastlabki so‘rov identifikatori va qaytarilgan ma’lumotlarni saqlang. Ushbu karta bevosita suhbat natijasini hujjatlashtiradi va alohida asinxron topshiriq yoki bekor qilish jarayonini bermaydi.

", "aboutText": "Nemotron 3.5 Content Safety — Gemma-3-4B asosida qo‘shimcha o‘qitilgan NVIDIA kompaniyasining 4B parametrli himoya modeli. Uning hujjatlashtirilgan vazifasi prompt va javob moderatsiyasi, kontent tasnifi hamda xavfsizlik siyosati jarayonlaridir. NVIDIA foydalanuvchi prompt i va javobini safe yoki unsafe deb baholaydigan, xavfsizlik toifasi belgilarini qo‘shadigan hamda ixtiyoriy ravishda mulohaza izini kiritadigan chiqishlarni tavsiflaydi. Baho ilova tekshirib qo‘llaydigan model natijasidir. 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\nPOST /v1/chat/completions va bo‘sh bo‘lmagan messages massivi bilan aniq nvidia/nemotron-3.5-content-safety:free model ID qiymatidan foydalaning. Baholanadigan materialni matnli content ichiga joylang va ikkalasi ham ko‘rib chiqilganda foydalanuvchi prompt ini model javobidan ajrating. Amaliy moderatsiya qadami bu ikki parchani aniq belgilashi va bahoni berilgan mazmunga bog‘lagan holda tegishli toifalarni aniqlashni modeldan so‘rashi mumkin.\n\nUshbu Ailoot nashri matn qabul qiladi va matn qaytaradi. Tekshiruv navbati uchun baholanishi kerak bo‘lgan haqiqiy post, qo‘llab-quvvatlash xabari loyihasi yoki yaratilgan javobni, uning ma’nosini o‘zgartiradigan atrof konteksti bilan tayyorlang. Belgilangan elementni inson tekshiruviga yo‘naltirish kabi ilova qarorlarini o‘z jarayoningizda saqlang. Media kirishlari, vosita chaqirish boshqaruvlari va aniq kesh boshqaruvlari ushbu nashrning so‘rov profiliga kirmaydi.\n\nModel sahifasida 128 000 tokenli kontekst oynasi va 8 192 tagacha javob tokeni ko‘rsatilgan. Ailoot, shuningdek, ko‘rsatmalar va maydon nomlari bilan birga butun UTF-8 JSON so‘rov tanasining 128 000 baytga sig‘ishini talab qiladi. Aniq chiqish chegarasi uchun max_tokens yoki max_completion_tokens dan aynan bittasini 1 dan 8 192 gacha musbat butun songa belgilang. Ikkalasi ham berilmasa, Ailoot 4 096 tokenli chiqish chegarasini uzatadi. To‘liq suhbat va so‘ralgan bahoni hisobga oling. Model tavsifi 12 til qamrovini bildiradi; baholash manba tiliga bog‘liq bo‘lsa, asl ifodani saqlang. Ilovangiz muayyan belgilarni kutsa, qaytarilgan matnni tanlangan ishlov qoidalariga muvofiq tahlil qilib tekshiring. JSON ga o‘xshash javob so‘rash sxema bilan majburiy tekshirilgan chiqishga kafolat bermaydi.\n\nTo‘liq JSON suhbat javobi uchun stream:false dan foydalaning. choices[].message.content ni o‘qing, har bir qaytarilgan choice va berilgan har qanday reasoning maydonlarini saqlang, finish_reason va usage ni ham saqlab qo‘ying. Qarorni keyin ko‘rib chiqish mumkin bo‘lishi uchun bahoni u baholaydigan aniq prompt va javob bilan saqlang. Bitta matn bahosi aynan o‘sha berilgan matn va kontekstga qo‘llanadi; mazmunan o‘zgartirilgan javobni alohida element sifatida baholang.\n\nUshbu bepul nashrning hujjatlashtirilgan foydalanish shartlari talab qilganidek, maxfiy axborot bo‘lmagan material tayyorlang. So‘rov to‘liq bahosiz tugasa, mavjud urinishni tekshirish davomida dastlabki so‘rov identifikatori va qaytarilgan ma’lumotlarni saqlang. Ushbu karta bevosita suhbat natijasini hujjatlashtiradi va alohida asinxron topshiriq yoki bekor qilish jarayonini bermaydi.", "editorialOverlay": { "copy_fields": null, "copy_sha256": null, "copy_source": null, "html_sha256": "d6c035fe617539eadf5412163a76af61596e070e792e335ef1e4d593cd7d8b9c", "module_sha256": "ee9dc1c50b1e6a8fb7fa062030fcb4646b9aaaeb08be513b723a5a92a7290f06", "raw_model_unchanged": true, "schema": "ailoot-native-model-editorial-v1" }, "locale": "uz", "methods": [ { "html": "
NV

NVIDIA: Nemotron 3.5 Content Safety (free)

NVIDIA /nvidia/nemotron-3.5-content-safety:free

Boshlash

Nemotron 3.5 Content Safety — NVIDIA kompaniyasining prompt lar va model javoblarini tasniflash uchun 4B himoya modeli. Ushbu Ailoot nashri matnni o‘qiydi va modelning xavfsizlik bahosi hamda toifa belgilarini o‘z ichiga olgan matnni qaytaradi. Undan kengroq tekshiruv yoki ilova siyosati jarayonida aniq moderatsiya qadami sifatida 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 3.5 Content Safety — Gemma-3-4B asosida qo‘shimcha o‘qitilgan NVIDIA kompaniyasining 4B parametrli himoya modeli. Uning hujjatlashtirilgan vazifasi prompt va javob moderatsiyasi, kontent tasnifi hamda xavfsizlik siyosati jarayonlaridir. NVIDIA foydalanuvchi prompt i va javobini safe yoki unsafe deb baholaydigan, xavfsizlik toifasi belgilarini qo‘shadigan hamda ixtiyoriy ravishda mulohaza izini kiritadigan chiqishlarni tavsiflaydi. Baho ilova tekshirib qo‘llaydigan model natijasidir. 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.

POST /v1/chat/completions va bo‘sh bo‘lmagan messages massivi bilan aniq nvidia/nemotron-3.5-content-safety:free model ID qiymatidan foydalaning. Baholanadigan materialni matnli content ichiga joylang va ikkalasi ham ko‘rib chiqilganda foydalanuvchi prompt ini model javobidan ajrating. Amaliy moderatsiya qadami bu ikki parchani aniq belgilashi va bahoni berilgan mazmunga bog‘lagan holda tegishli toifalarni aniqlashni modeldan so‘rashi mumkin.

Ushbu Ailoot nashri matn qabul qiladi va matn qaytaradi. Tekshiruv navbati uchun baholanishi kerak bo‘lgan haqiqiy post, qo‘llab-quvvatlash xabari loyihasi yoki yaratilgan javobni, uning ma’nosini o‘zgartiradigan atrof konteksti bilan tayyorlang. Belgilangan elementni inson tekshiruviga yo‘naltirish kabi ilova qarorlarini o‘z jarayoningizda saqlang. Media kirishlari, vosita chaqirish boshqaruvlari va aniq kesh boshqaruvlari ushbu nashrning so‘rov profiliga kirmaydi.

Model sahifasida 128 000 tokenli kontekst oynasi va 8 192 tagacha javob tokeni ko‘rsatilgan. Ailoot, shuningdek, ko‘rsatmalar va maydon nomlari bilan birga butun UTF-8 JSON so‘rov tanasining 128 000 baytga sig‘ishini talab qiladi. Aniq chiqish chegarasi uchun max_tokens yoki max_completion_tokens dan aynan bittasini 1 dan 8 192 gacha musbat butun songa belgilang. Ikkalasi ham berilmasa, Ailoot 4 096 tokenli chiqish chegarasini uzatadi. To‘liq suhbat va so‘ralgan bahoni hisobga oling. Model tavsifi 12 til qamrovini bildiradi; baholash manba tiliga bog‘liq bo‘lsa, asl ifodani saqlang. Ilovangiz muayyan belgilarni kutsa, qaytarilgan matnni tanlangan ishlov qoidalariga muvofiq tahlil qilib tekshiring. JSON ga o‘xshash javob so‘rash sxema bilan majburiy tekshirilgan chiqishga kafolat bermaydi.

To‘liq JSON suhbat javobi uchun stream:false dan foydalaning. choices[].message.content ni o‘qing, har bir qaytarilgan choice va berilgan har qanday reasoning maydonlarini saqlang, finish_reason va usage ni ham saqlab qo‘ying. Qarorni keyin ko‘rib chiqish mumkin bo‘lishi uchun bahoni u baholaydigan aniq prompt va javob bilan saqlang. Bitta matn bahosi aynan o‘sha berilgan matn va kontekstga qo‘llanadi; mazmunan o‘zgartirilgan javobni alohida element sifatida baholang.

Ushbu bepul nashrning hujjatlashtirilgan foydalanish shartlari talab qilganidek, maxfiy axborot bo‘lmagan material tayyorlang. So‘rov to‘liq bahosiz tugasa, mavjud urinishni tekshirish davomida dastlabki so‘rov identifikatori va qaytarilgan ma’lumotlarni saqlang. Ushbu karta bevosita suhbat natijasini hujjatlashtiradi va alohida asinxron topshiriq yoki bekor qilish jarayonini bermaydi.

Ailoot da mavjud · kirish ma’lumotlari va usullar

Ailoot Ultra · Chat Completions POST /v1/chat/completions
Kirish
text
Chiqish
text
Kontekst
128 000 tokens
Eng katta chiqish
8 192 tokens
Chiqish formati
JSON or supported SSE
MaydonTurTalabQiymatlar va cheklovlarStandart
MaydonmodelTurstringTalabMajburiyQiymatlar va cheklovlar
nvidia/nemotron-3.5-content-safety:free
Standart—
MaydonmessagesTurarrayTalabMajburiyQiymatlar va cheklovlarStandart—
MaydonstreamTurbooleanTalabIxtiyoriyQiymatlar va cheklovlar
false
Standartfalse
Maydonmax_tokensTurintegerTalabIxtiyoriyQiymatlar va cheklovlar
Eng kam: 1
Eng ko‘p: 8 192
Standart—
Maydonmax_completion_tokensTurintegerTalabIxtiyoriyQiymatlar va cheklovlar
Eng kam: 1
Eng ko‘p: 8 192
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 128000 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-3.5-content-safety: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-3.5-content-safety:free

Usul yo‘llari taxalluslari

Yuqorida ko‘rsatilgan usul yo‘llaridan foydalaning.

Chaqirish uchun tegishli ID lar

nvidia/nemotron-3.5-content-safety:free

", "method_identity": { "effective_request_model_id": "nvidia/nemotron-3.5-content-safety:free", "fmt": "chat", "http": "POST", "path": "/v1/chat/completions", "request_model_id": "nvidia/nemotron-3.5-content-safety:free", "route_label": "Ultra" }, "method_key": "Ultra|chat|/v1/chat/completions|nvidia%2Fnemotron-3.5-content-safety%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-3.5-content-safety: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-3.5-content-safety: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": 8192, "minimum": 1, "name": "max_tokens", "required": false, "type": "integer" }, { "default_known": false, "enum_known": false, "maximum": 8192, "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": 8192, "minimum": 1, "type": "integer" }, "max_tokens": { "maximum": 8192, "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-3.5-content-safety: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-3.5-content-safety: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 128000 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": 128000, "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-3.5-content-safety: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": 8192, "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-3.5-content-safety: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-3.5-content-safety:free", "nativeProvenance": { "input_facts_canonical_sha256": "0b6c3270b4a259a2a4087b0f802cbc3c21c1ea27f88bc389c2075fbb1462fc05", "input_html_sha256": "b34b06b2e7200e14afa3291b35c3eb5a18e5bd5dcef88555903908a585929d0e", "private_audit_sha256": "d6af7b59a16a15f6bd7f6325d97e3d7ac926fe31835486854c0e86bbe67dd2c2", "role": "historical-normalized-input-audit-hashes", "schema": "ailoot-native-model-provenance-v2" }, "page": { "canonical": "https://ailoot.ai/models/uz/nvidia-nemotron-3-5-content-safety-u003a-free/", "description": "Nemotron 3.5 Content Safety — NVIDIA kompaniyasining prompt lar va model javoblarini tasniflash uchun 4B himoya modeli. Ushbu Ailoot nashri matnni o‘qiydi va modelning xavfsizlik bahosi hamda toifa belgilarini o‘z ichiga olgan matnni qaytaradi. Undan kengroq tekshiruv yoki ilova siyosati jarayonida aniq moderatsiya qadami sifatida foydalaning.", "locale": "uz", "md_url": "https://ailoot.ai/models/uz/nvidia-nemotron-3-5-content-safety-u003a-free/index.md", "title": "NVIDIA: Nemotron 3.5 Content Safety (free) — Ailoot", "url": "https://ailoot.ai/models/uz/nvidia-nemotron-3-5-content-safety-u003a-free/" }, "rawModel": { "about": "Nemotron 3.5 Content Safety — Gemma-3-4B asosida qo‘shimcha o‘qitilgan NVIDIA kompaniyasining 4B parametrli himoya modeli. Uning hujjatlashtirilgan vazifasi prompt va javob moderatsiyasi, kontent tasnifi hamda xavfsizlik siyosati jarayonlaridir. NVIDIA foydalanuvchi prompt i va javobini safe yoki unsafe deb baholaydigan, xavfsizlik toifasi belgilarini qo‘shadigan hamda ixtiyoriy ravishda mulohaza izini kiritadigan chiqishlarni tavsiflaydi. Baho ilova tekshirib qo‘llaydigan model natijasidir. 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\nPOST /v1/chat/completions va bo‘sh bo‘lmagan messages massivi bilan aniq nvidia/nemotron-3.5-content-safety:free model ID qiymatidan foydalaning. Baholanadigan materialni matnli content ichiga joylang va ikkalasi ham ko‘rib chiqilganda foydalanuvchi prompt ini model javobidan ajrating. Amaliy moderatsiya qadami bu ikki parchani aniq belgilashi va bahoni berilgan mazmunga bog‘lagan holda tegishli toifalarni aniqlashni modeldan so‘rashi mumkin.\n\nUshbu Ailoot nashri matn qabul qiladi va matn qaytaradi. Tekshiruv navbati uchun baholanishi kerak bo‘lgan haqiqiy post, qo‘llab-quvvatlash xabari loyihasi yoki yaratilgan javobni, uning ma’nosini o‘zgartiradigan atrof konteksti bilan tayyorlang. Belgilangan elementni inson tekshiruviga yo‘naltirish kabi ilova qarorlarini o‘z jarayoningizda saqlang. Media kirishlari, vosita chaqirish boshqaruvlari va aniq kesh boshqaruvlari ushbu nashrning so‘rov profiliga kirmaydi.\n\nModel sahifasida 128 000 tokenli kontekst oynasi va 8 192 tagacha javob tokeni ko‘rsatilgan. Ailoot, shuningdek, ko‘rsatmalar va maydon nomlari bilan birga butun UTF-8 JSON so‘rov tanasining 128 000 baytga sig‘ishini talab qiladi. Aniq chiqish chegarasi uchun max_tokens yoki max_completion_tokens dan aynan bittasini 1 dan 8 192 gacha musbat butun songa belgilang. Ikkalasi ham berilmasa, Ailoot 4 096 tokenli chiqish chegarasini uzatadi. To‘liq suhbat va so‘ralgan bahoni hisobga oling. Model tavsifi 12 til qamrovini bildiradi; baholash manba tiliga bog‘liq bo‘lsa, asl ifodani saqlang. Ilovangiz muayyan belgilarni kutsa, qaytarilgan matnni tanlangan ishlov qoidalariga muvofiq tahlil qilib tekshiring. JSON ga o‘xshash javob so‘rash sxema bilan majburiy tekshirilgan chiqishga kafolat bermaydi.\n\nTo‘liq JSON suhbat javobi uchun stream:false dan foydalaning. choices[].message.content ni o‘qing, har bir qaytarilgan choice va berilgan har qanday reasoning maydonlarini saqlang, finish_reason va usage ni ham saqlab qo‘ying. Qarorni keyin ko‘rib chiqish mumkin bo‘lishi uchun bahoni u baholaydigan aniq prompt va javob bilan saqlang. Bitta matn bahosi aynan o‘sha berilgan matn va kontekstga qo‘llanadi; mazmunan o‘zgartirilgan javobni alohida element sifatida baholang.\n\nUshbu bepul nashrning hujjatlashtirilgan foydalanish shartlari talab qilganidek, maxfiy axborot bo‘lmagan material tayyorlang. So‘rov to‘liq bahosiz tugasa, mavjud urinishni tekshirish davomida dastlabki so‘rov identifikatori va qaytarilgan ma’lumotlarni saqlang. Ushbu karta bevosita suhbat natijasini hujjatlashtiradi va alohida asinxron topshiriq yoki bekor qilish jarayonini bermaydi.", "alias_of": null, "aliases": [], "author": "NVIDIA", "ctx": 128000, "formats": [ "chat" ], "id": "nvidia/nemotron-3.5-content-safety:free", "input": [ "text" ], "kind": "text", "max_out": 8192, "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-3.5-content-safety: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-3.5-content-safety: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": 8192, "minimum": 1, "name": "max_tokens", "required": false, "type": "integer" }, { "default_known": false, "enum_known": false, "maximum": 8192, "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": 8192, "minimum": 1, "type": "integer" }, "max_tokens": { "maximum": 8192, "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-3.5-content-safety: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-3.5-content-safety: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 128000 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": 128000, "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-3.5-content-safety: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": 8192, "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-3.5-content-safety: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-3.5-content-safety:free", "request_model_id": "nvidia/nemotron-3.5-content-safety:free", "route_label": "Ultra" } ], "name": "NVIDIA: Nemotron 3.5 Content Safety (free)", "price": { "in": "0", "in_label": null, "out": "0", "out_label": null, "sort_in": "0", "sort_out": "0", "varies": false }, "short": "Nemotron 3.5 Content Safety — NVIDIA kompaniyasining prompt lar va model javoblarini tasniflash uchun 4B himoya modeli. Ushbu Ailoot nashri matnni o‘qiydi va modelning xavfsizlik bahosi hamda toifa belgilarini o‘z ichiga olgan matnni qaytaradi. Undan kengroq tekshiruv yoki ilova siyosati jarayonida aniq moderatsiya qadami sifatida 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 3.5 Content Safety — NVIDIA kompaniyasining prompt lar va model javoblarini tasniflash uchun 4B himoya modeli. Ushbu Ailoot nashri matnni o‘qiydi va modelning xavfsizlik bahosi hamda toifa belgilarini o‘z ichiga olgan matnni qaytaradi. Undan kengroq tekshiruv yoki ilova siyosati jarayonida aniq moderatsiya qadami sifatida foydalaning.", "source": { "audit_sha256": "2e00086bcbfc28e64d0cebe97aa47c17d8d5618963027f8ffb9dc6123d7d25b1", "bridge_map_sha256": "1125275768b9636fc8461bc7da5061239a81ddfe508e2557843ca42c58ab0036", "raw_model_json_sha256": "e8c4589dba1cb2479df36ff6367596540044dc3f2676b3ba5d5849b80910b652", "renderer_sha256": "aa8a0fca1bd770c042b64987512b6187fca2067aea3ddc877f68b163d80e7df6" }, "sourceRevision": "f0c068941cf9f03567a8b046632e99c4c7f3535671131789feec6b368be87e48" }