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Tencent Hy3 — aniq tencent/hy3 ID qiymati bilan tanlanadigan, matn qabul qilib matn qaytaradigan model. Uning e’lon qilingan kontekst uzunligi 262 144 token. Mavjud kontekstdan katta manba materialini u javob berishi kerak bo‘lgan savol bilan tartiblash uchun foydalaning: belgilangan hujjat bo‘limlari, tegishli suhbat yoki kod parchalari. Qarorlar xulosasi, nomlangan mezonlar bo‘yicha solishtirish yoki berilgan qoidalar matniga tayangan qoralama kabi so‘ralgan natijani belgilang.

model va bo‘sh bo‘lmagan messages massivi bilan POST /v1/chat/completions ni chaqiring. Haqiqiy manba materialini xabar matniga joylang va davom etadigan suhbat uchun kerakli xabarlarni saqlang. Bir nechta hujjat uchun har biriga barqaror belgi bering va javobdan xulosalarini tasdiqlovchi parchalarni ko‘rsatishni so‘rang. Kod vazifasi uchun tegishli ta’riflar va kuzatilgan xatti-harakatni kiriting, keyin tayyor natija tushuntirish, tekshiruv yoki taklif etilgan o‘zgartirish ekanini ayting.

E’lon qilingan boshqaruvlar so‘ralgan javob hajmi uchun max_tokens va max_completion_tokens, yaratish uchun temperature va stop hamda mulohazaga oid so‘rovlar uchun reasoning, reasoning_effort va include_reasoning ni o‘z ichiga oladi. E’lon qilingan standart temperature qiymati 0.9. Boshqaruvlarni vazifa uchun ongli tanlang va haqiqiy qiymatlarni so‘rov bilan saqlang, shunda javoblar orasidagi solishtirish ma’lum konfiguratsiyadan foydalanadi. Kontekstni ko‘rsatmalar, manba materiali, tarix va so‘ralgan javobga taqsimlang.

Muayyan javob shaklidan foydalanadigan ilova uchun model profili response_format ni o‘z ichiga oladi. Shuningdek, funksiya vositasi jarayonlari uchun tools va tool_choice ni taqdim etadi. Ilova haqiqatda amalga oshiradigan funksiya ta’riflarini bering, qaytarilgan har qanday vosita chaqiruvi identifikatorlari va argumentlarini saqlang hamda natijasini suhbatga berishdan avval ko‘rsatilgan ilova amalini bajaring. Davom etishdan avval ilova yaratilgan javobni tekshira olishi uchun vosita sxemasi va kutilayotgan chiqish maydonlarini aniq saqlang.

To‘liq JSON javob uchun stream:false yoki interaktiv interfeysga javob hodisalarini yetkazish uchun stream:true dan foydalaning. Javob bergan har bir choice, content bloki, vosita chaqiruvi, reasoning maydoni va usage maydonini saqlang. Oqimda deltalarni ularning choice va vosita chaqiruvi indekslari bo‘yicha birlashtiring va yakuniy finish ma’lumotlarini saqlang. Yetkazish noaniq bo‘lsa, boshqa yuborishdan avval dastlabki muloqotni tekshirish mumkin bo‘lishi uchun dastlabki so‘rov va javob identifikatorlarini saqlang.

", "aboutText": "Tencent Hy3 — aniq tencent/hy3 ID qiymati bilan tanlanadigan, matn qabul qilib matn qaytaradigan model. Uning e’lon qilingan kontekst uzunligi 262 144 token. Mavjud kontekstdan katta manba materialini u javob berishi kerak bo‘lgan savol bilan tartiblash uchun foydalaning: belgilangan hujjat bo‘limlari, tegishli suhbat yoki kod parchalari. Qarorlar xulosasi, nomlangan mezonlar bo‘yicha solishtirish yoki berilgan qoidalar matniga tayangan qoralama kabi so‘ralgan natijani belgilang.\n\nmodel va bo‘sh bo‘lmagan messages massivi bilan POST /v1/chat/completions ni chaqiring. Haqiqiy manba materialini xabar matniga joylang va davom etadigan suhbat uchun kerakli xabarlarni saqlang. Bir nechta hujjat uchun har biriga barqaror belgi bering va javobdan xulosalarini tasdiqlovchi parchalarni ko‘rsatishni so‘rang. Kod vazifasi uchun tegishli ta’riflar va kuzatilgan xatti-harakatni kiriting, keyin tayyor natija tushuntirish, tekshiruv yoki taklif etilgan o‘zgartirish ekanini ayting.\n\nE’lon qilingan boshqaruvlar so‘ralgan javob hajmi uchun max_tokens va max_completion_tokens, yaratish uchun temperature va stop hamda mulohazaga oid so‘rovlar uchun reasoning, reasoning_effort va include_reasoning ni o‘z ichiga oladi. E’lon qilingan standart temperature qiymati 0.9. Boshqaruvlarni vazifa uchun ongli tanlang va haqiqiy qiymatlarni so‘rov bilan saqlang, shunda javoblar orasidagi solishtirish ma’lum konfiguratsiyadan foydalanadi. Kontekstni ko‘rsatmalar, manba materiali, tarix va so‘ralgan javobga taqsimlang.\n\nMuayyan javob shaklidan foydalanadigan ilova uchun model profili response_format ni o‘z ichiga oladi. Shuningdek, funksiya vositasi jarayonlari uchun tools va tool_choice ni taqdim etadi. Ilova haqiqatda amalga oshiradigan funksiya ta’riflarini bering, qaytarilgan har qanday vosita chaqiruvi identifikatorlari va argumentlarini saqlang hamda natijasini suhbatga berishdan avval ko‘rsatilgan ilova amalini bajaring. Davom etishdan avval ilova yaratilgan javobni tekshira olishi uchun vosita sxemasi va kutilayotgan chiqish maydonlarini aniq saqlang.\n\nTo‘liq JSON javob uchun stream:false yoki interaktiv interfeysga javob hodisalarini yetkazish uchun stream:true dan foydalaning. Javob bergan har bir choice, content bloki, vosita chaqiruvi, reasoning maydoni va usage maydonini saqlang. Oqimda deltalarni ularning choice va vosita chaqiruvi indekslari bo‘yicha birlashtiring va yakuniy finish ma’lumotlarini saqlang. Yetkazish noaniq bo‘lsa, boshqa yuborishdan avval dastlabki muloqotni tekshirish mumkin bo‘lishi uchun dastlabki so‘rov va javob identifikatorlarini saqlang.", "editorialOverlay": { "copy_fields": null, "copy_sha256": null, "copy_source": null, "html_sha256": "af5daad5519c014b8743fa32fb1ad0d51b4c36862b721a374e1088a1af82f697", "module_sha256": "ee9dc1c50b1e6a8fb7fa062030fcb4646b9aaaeb08be513b723a5a92a7290f06", "raw_model_unchanged": true, "schema": "ailoot-native-model-editorial-v1" }, "locale": "uz", "methods": [ { "html": "
•

Tencent: Hy3

Tencent /tencent/hy3

Boshlash

Tencent Hy3 — e’lon qilingan 262 144 tokenli kontekst va tencent/hy3 ostida Chat Completions kirishiga ega matn modeli. Undan berilgan hujjatlar, suhbat tarixi yoki kod matni bilan foydalaning va tuzilgan xulosa, solishtirish yoki taklif etilgan javob kabi aniq tayyor natijani belgilang. Profil mulohaza, javob formati va funksiya vositasi boshqaruvlarini o‘z ichiga oladi.

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.

Tencent Hy3 — aniq tencent/hy3 ID qiymati bilan tanlanadigan, matn qabul qilib matn qaytaradigan model. Uning e’lon qilingan kontekst uzunligi 262 144 token. Mavjud kontekstdan katta manba materialini u javob berishi kerak bo‘lgan savol bilan tartiblash uchun foydalaning: belgilangan hujjat bo‘limlari, tegishli suhbat yoki kod parchalari. Qarorlar xulosasi, nomlangan mezonlar bo‘yicha solishtirish yoki berilgan qoidalar matniga tayangan qoralama kabi so‘ralgan natijani belgilang.

model va bo‘sh bo‘lmagan messages massivi bilan POST /v1/chat/completions ni chaqiring. Haqiqiy manba materialini xabar matniga joylang va davom etadigan suhbat uchun kerakli xabarlarni saqlang. Bir nechta hujjat uchun har biriga barqaror belgi bering va javobdan xulosalarini tasdiqlovchi parchalarni ko‘rsatishni so‘rang. Kod vazifasi uchun tegishli ta’riflar va kuzatilgan xatti-harakatni kiriting, keyin tayyor natija tushuntirish, tekshiruv yoki taklif etilgan o‘zgartirish ekanini ayting.

E’lon qilingan boshqaruvlar so‘ralgan javob hajmi uchun max_tokens va max_completion_tokens, yaratish uchun temperature va stop hamda mulohazaga oid so‘rovlar uchun reasoning, reasoning_effort va include_reasoning ni o‘z ichiga oladi. E’lon qilingan standart temperature qiymati 0.9. Boshqaruvlarni vazifa uchun ongli tanlang va haqiqiy qiymatlarni so‘rov bilan saqlang, shunda javoblar orasidagi solishtirish ma’lum konfiguratsiyadan foydalanadi. Kontekstni ko‘rsatmalar, manba materiali, tarix va so‘ralgan javobga taqsimlang.

Muayyan javob shaklidan foydalanadigan ilova uchun model profili response_format ni o‘z ichiga oladi. Shuningdek, funksiya vositasi jarayonlari uchun tools va tool_choice ni taqdim etadi. Ilova haqiqatda amalga oshiradigan funksiya ta’riflarini bering, qaytarilgan har qanday vosita chaqiruvi identifikatorlari va argumentlarini saqlang hamda natijasini suhbatga berishdan avval ko‘rsatilgan ilova amalini bajaring. Davom etishdan avval ilova yaratilgan javobni tekshira olishi uchun vosita sxemasi va kutilayotgan chiqish maydonlarini aniq saqlang.

To‘liq JSON javob uchun stream:false yoki interaktiv interfeysga javob hodisalarini yetkazish uchun stream:true dan foydalaning. Javob bergan har bir choice, content bloki, vosita chaqiruvi, reasoning maydoni va usage maydonini saqlang. Oqimda deltalarni ularning choice va vosita chaqiruvi indekslari bo‘yicha birlashtiring va yakuniy finish ma’lumotlarini saqlang. Yetkazish noaniq bo‘lsa, boshqa yuborishdan avval dastlabki muloqotni tekshirish mumkin bo‘lishi uchun dastlabki so‘rov va javob identifikatorlarini saqlang.

Ailoot da mavjud · kirish ma’lumotlari va usullar

Ailoot Ultra · Chat Completions POST /v1/chat/completions
Kirish
text
Chiqish
text
Kontekst
262 144 tokens
Chiqish formati
JSON or supported SSE
MaydonTurTalabQiymatlar va cheklovlarStandart
MaydonmodelTurstringTalabMajburiyQiymatlar va cheklovlar
tencent/hy3
Standart—
MaydonmessagesTurarrayTalabMajburiyQiymatlar va cheklovlarStandart—
MaydonstreamTurbooleanTalabIxtiyoriyQiymatlar va cheklovlarStandartfalse
Maydonmax_tokensTurintegerTalabIxtiyoriyQiymatlar va cheklovlar
Eng kam: 1
Standart—
Maydonmax_completion_tokensTurintegerTalabIxtiyoriyQiymatlar va cheklovlar
Eng kam: 1
Standart—
MaydonnTurintegerTalabIxtiyoriyQiymatlar va cheklovlar
Eng kam: 1
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 talablari

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
Ko‘rsatilmagan Tezkor rejim tanlanganda
Flex rejimi
Ko‘rsatilmagan flex rejimi tanlanganda
Time schedule
{"periods":[{"end_time":"16:00","multiplier":"1.6","start_time":"00:00"}],"timezone":"UTC","weekdays_only":false} At the request pricing time

Ailoot tariflari

Sozlamalar bo‘yicha narxlar

SozlamaTariflar jadvaliTo‘lov
SozlamaTokenlar uchun bazaviy tariflarTariflar jadvaliAsosiy tarifTo‘lov
Kirish · Kirish tokenlari $0.000165 / 1K token
Chiqish · Chiqish tokenlari $0.00066 / 1K token
Kirish · Keshdan o‘qish $0.00004125 / 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": "tencent/hy3", "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 tencent/hy3

Usul yo‘llari taxalluslari

Yuqorida ko‘rsatilgan usul yo‘llaridan foydalaning.

Chaqirish uchun tegishli ID lar

tencent/hy3

", "method_identity": { "effective_request_model_id": "tencent/hy3", "fmt": "chat", "http": "POST", "path": "/v1/chat/completions", "request_model_id": "tencent/hy3", "route_label": "Ultra" }, "method_key": "Ultra|chat|/v1/chat/completions|tencent%2Fhy3", "ordinal": 0, "rawMethod": { "available": null, "cache_read": "0.04125", "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": "tencent/hy3", "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": [ "tencent/hy3" ], "enum_known": true, "name": "model", "required": true, "type": "string" }, { "default_known": false, "enum_known": false, "items": { "additionalProperties": true, "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_known": false, "name": "stream", "required": false, "type": "boolean" }, { "default_known": false, "enum_known": false, "minimum": 1, "name": "max_tokens", "required": false, "type": "integer" }, { "default_known": false, "enum_known": false, "minimum": 1, "name": "max_completion_tokens", "required": false, "type": "integer" }, { "default_known": false, "enum_known": false, "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": true, "properties": { "frequency_penalty": { "type": "number" }, "max_completion_tokens": { "minimum": 1, "type": "integer" }, "max_tokens": { "minimum": 1, "type": "integer" }, "messages": { "items": { "additionalProperties": true, "properties": { "content": { "type": "string" }, "role": { "enum": [ "user", "assistant", "system", "developer" ], "type": "string" } }, "required": [ "role", "content" ], "type": "object" }, "minItems": 1, "type": "array" }, "model": { "enum": [ "tencent/hy3" ], "type": "string" }, "n": { "minimum": 1, "type": "integer" }, "presence_penalty": { "type": "number" }, "seed": { "type": "integer" }, "stop": { "oneOf": [ { "type": "string" }, { "items": { "type": "string" }, "type": "array" } ] }, "stream": { "default": 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": "tencent/hy3", "stream": false }, "content_type": "application/json" } }, "input": { "conditions": [], "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": 262144, "declared_pricing_profiles": [ { "dimensions": { "regime": "base" }, "label": "Base token rates", "units": [ { "amount": "0.000165000", "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "input_price", "label": "Input tokens", "native_amount_usd_per_unit": "0.000000165", "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": "0.00066000", "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "output_price", "label": "Output tokens", "native_amount_usd_per_unit": "0.00000066", "native_quantity": 1, "native_unit": "output_token", "public_unit_label": "/ 1K tokens", "quantity": 1000, "quantity_is_estimate": false, "rate_role": "typed_native_retail_rate", "side": "out", "unit": "output_token" }, { "amount": "0.00004125000", "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "cache_read_price", "label": "Cache read", "native_amount_usd_per_unit": "0.00000004125", "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\": \"tencent/hy3\", \"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": null, "flex_multiplier": null, "fmt": "chat", "http": "POST", "img_in": null, "img_out": null, "in": "0.165", "input": [ "text" ], "label": "Chat Completions", "max_out": null, "method_aliases": [], "out": "0.66", "output": [ "text" ], "path": "/v1/chat/completions", "price_conditions": [ { "label": "Fast mode", "value": "Not specified", "when": "When fast mode is selected" }, { "label": "Flex mode", "value": "Not specified", "when": "When flex mode is selected" }, { "label": "Time schedule", "value": "{\"periods\":[{\"end_time\":\"16:00\",\"multiplier\":\"1.6\",\"start_time\":\"00:00\"}],\"timezone\":\"UTC\",\"weekdays_only\":false}", "when": "At the request pricing time" } ], "pricing": { "billing_mode": "token", "cache_read_price": "0.00000004125", "cache_write_1h_price": null, "cache_write_price": null, "fast_multiplier": null, "flex_multiplier": null, "image_input_price": null, "image_output_price": null, "input_price": "0.000000165", "intervals": [], "output_price": "0.00000066", "per_request_price": null, "reasoning_effort_multipliers": {}, "time_pricing": { "periods": [ { "end_time": "16:00", "multiplier": "1.6", "start_time": "00:00" } ], "timezone": "UTC", "weekdays_only": false } }, "pricing_profiles": [ { "dimensions": { "regime": "base" }, "label": "Base token rates", "units": [ { "amount": "0.000165000", "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "input_price", "label": "Input tokens", "native_amount_usd_per_unit": "0.000000165", "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": "0.00066000", "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "output_price", "label": "Output tokens", "native_amount_usd_per_unit": "0.00000066", "native_quantity": 1, "native_unit": "output_token", "public_unit_label": "/ 1K tokens", "quantity": 1000, "quantity_is_estimate": false, "rate_role": "typed_native_retail_rate", "side": "out", "unit": "output_token" }, { "amount": "0.00004125000", "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "cache_read_price", "label": "Cache read", "native_amount_usd_per_unit": "0.00000004125", "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" } ] } ], "reasoning_effort_multipliers": {}, "request_model_id": "tencent/hy3", "route_label": "Ultra", "status_reads": [], "tiers": [], "unit": "token", "units": [ { "amount": "0.000165000", "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "input_price", "label": "Input tokens", "native_amount_usd_per_unit": "0.000000165", "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": "0.00066000", "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "output_price", "label": "Output tokens", "native_amount_usd_per_unit": "0.00000066", "native_quantity": 1, "native_unit": "output_token", "public_unit_label": "/ 1K tokens", "quantity": 1000, "quantity_is_estimate": false, "rate_role": "typed_native_retail_rate", "side": "out", "unit": "output_token" }, { "amount": "0.00004125000", "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "cache_read_price", "label": "Cache read", "native_amount_usd_per_unit": "0.00000004125", "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": "tencent/hy3", "nativeProvenance": { "input_facts_canonical_sha256": "60e21f2f6024963db35408b5b249d3d29d4ab89360b6759642c9e54566660e88", "input_html_sha256": "adbab577064eebb6278d6c623f6b88a77f464d1a1e4fa12782aa26eb38977aae", "private_audit_sha256": "49b5a637d059bdcf2060f0cda9bb31d194ea444564c06e5ed9e0a5572c935a2d", "role": "historical-normalized-input-audit-hashes", "schema": "ailoot-native-model-provenance-v2" }, "page": { "canonical": "https://ailoot.ai/models/uz/tencent-hy3/", "description": "Tencent Hy3 — e’lon qilingan 262 144 tokenli kontekst va tencent/hy3 ostida Chat Completions kirishiga ega matn modeli. Undan berilgan hujjatlar, suhbat tarixi yoki kod matni bilan foydalaning va tuzilgan xulosa, solishtirish yoki taklif etilgan javob kabi aniq tayyor natijani belgilang. Profil mulohaza, javob formati va funksiya vositasi boshqaruvlarini o‘z ichiga oladi.", "locale": "uz", "md_url": "https://ailoot.ai/models/uz/tencent-hy3/index.md", "title": "Tencent: Hy3 — Ailoot", "url": "https://ailoot.ai/models/uz/tencent-hy3/" }, "rawModel": { "about": "Tencent Hy3 — aniq tencent/hy3 ID qiymati bilan tanlanadigan, matn qabul qilib matn qaytaradigan model. Uning e’lon qilingan kontekst uzunligi 262 144 token. Mavjud kontekstdan katta manba materialini u javob berishi kerak bo‘lgan savol bilan tartiblash uchun foydalaning: belgilangan hujjat bo‘limlari, tegishli suhbat yoki kod parchalari. Qarorlar xulosasi, nomlangan mezonlar bo‘yicha solishtirish yoki berilgan qoidalar matniga tayangan qoralama kabi so‘ralgan natijani belgilang.\n\nmodel va bo‘sh bo‘lmagan messages massivi bilan POST /v1/chat/completions ni chaqiring. Haqiqiy manba materialini xabar matniga joylang va davom etadigan suhbat uchun kerakli xabarlarni saqlang. Bir nechta hujjat uchun har biriga barqaror belgi bering va javobdan xulosalarini tasdiqlovchi parchalarni ko‘rsatishni so‘rang. Kod vazifasi uchun tegishli ta’riflar va kuzatilgan xatti-harakatni kiriting, keyin tayyor natija tushuntirish, tekshiruv yoki taklif etilgan o‘zgartirish ekanini ayting.\n\nE’lon qilingan boshqaruvlar so‘ralgan javob hajmi uchun max_tokens va max_completion_tokens, yaratish uchun temperature va stop hamda mulohazaga oid so‘rovlar uchun reasoning, reasoning_effort va include_reasoning ni o‘z ichiga oladi. E’lon qilingan standart temperature qiymati 0.9. Boshqaruvlarni vazifa uchun ongli tanlang va haqiqiy qiymatlarni so‘rov bilan saqlang, shunda javoblar orasidagi solishtirish ma’lum konfiguratsiyadan foydalanadi. Kontekstni ko‘rsatmalar, manba materiali, tarix va so‘ralgan javobga taqsimlang.\n\nMuayyan javob shaklidan foydalanadigan ilova uchun model profili response_format ni o‘z ichiga oladi. Shuningdek, funksiya vositasi jarayonlari uchun tools va tool_choice ni taqdim etadi. Ilova haqiqatda amalga oshiradigan funksiya ta’riflarini bering, qaytarilgan har qanday vosita chaqiruvi identifikatorlari va argumentlarini saqlang hamda natijasini suhbatga berishdan avval ko‘rsatilgan ilova amalini bajaring. Davom etishdan avval ilova yaratilgan javobni tekshira olishi uchun vosita sxemasi va kutilayotgan chiqish maydonlarini aniq saqlang.\n\nTo‘liq JSON javob uchun stream:false yoki interaktiv interfeysga javob hodisalarini yetkazish uchun stream:true dan foydalaning. Javob bergan har bir choice, content bloki, vosita chaqiruvi, reasoning maydoni va usage maydonini saqlang. Oqimda deltalarni ularning choice va vosita chaqiruvi indekslari bo‘yicha birlashtiring va yakuniy finish ma’lumotlarini saqlang. Yetkazish noaniq bo‘lsa, boshqa yuborishdan avval dastlabki muloqotni tekshirish mumkin bo‘lishi uchun dastlabki so‘rov va javob identifikatorlarini saqlang.", "alias_of": null, "aliases": [], "author": "Tencent", "ctx": 262144, "formats": [ "chat" ], "id": "tencent/hy3", "input": [ "text" ], "kind": "text", "max_out": null, "methods": [ { "available": null, "cache_read": "0.04125", "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": "tencent/hy3", "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": [ "tencent/hy3" ], "enum_known": true, "name": "model", "required": true, "type": "string" }, { "default_known": false, "enum_known": false, "items": { "additionalProperties": true, "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_known": false, "name": "stream", "required": false, "type": "boolean" }, { "default_known": false, "enum_known": false, "minimum": 1, "name": "max_tokens", "required": false, "type": "integer" }, { "default_known": false, "enum_known": false, "minimum": 1, "name": "max_completion_tokens", "required": false, "type": "integer" }, { "default_known": false, "enum_known": false, "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": true, "properties": { "frequency_penalty": { "type": "number" }, "max_completion_tokens": { "minimum": 1, "type": "integer" }, "max_tokens": { "minimum": 1, "type": "integer" }, "messages": { "items": { "additionalProperties": true, "properties": { "content": { "type": "string" }, "role": { "enum": [ "user", "assistant", "system", "developer" ], "type": "string" } }, "required": [ "role", "content" ], "type": "object" }, "minItems": 1, "type": "array" }, "model": { "enum": [ "tencent/hy3" ], "type": "string" }, "n": { "minimum": 1, "type": "integer" }, "presence_penalty": { "type": "number" }, "seed": { "type": "integer" }, "stop": { "oneOf": [ { "type": "string" }, { "items": { "type": "string" }, "type": "array" } ] }, "stream": { "default": 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": "tencent/hy3", "stream": false }, "content_type": "application/json" } }, "input": { "conditions": [], "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": 262144, "declared_pricing_profiles": [ { "dimensions": { "regime": "base" }, "label": "Base token rates", "units": [ { "amount": "0.000165000", "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "input_price", "label": "Input tokens", "native_amount_usd_per_unit": "0.000000165", "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": "0.00066000", "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "output_price", "label": "Output tokens", "native_amount_usd_per_unit": "0.00000066", "native_quantity": 1, "native_unit": "output_token", "public_unit_label": "/ 1K tokens", "quantity": 1000, "quantity_is_estimate": false, "rate_role": "typed_native_retail_rate", "side": "out", "unit": "output_token" }, { "amount": "0.00004125000", "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "cache_read_price", "label": "Cache read", "native_amount_usd_per_unit": "0.00000004125", "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\": \"tencent/hy3\", \"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": null, "flex_multiplier": null, "fmt": "chat", "http": "POST", "img_in": null, "img_out": null, "in": "0.165", "input": [ "text" ], "label": "Chat Completions", "max_out": null, "method_aliases": [], "out": "0.66", "output": [ "text" ], "path": "/v1/chat/completions", "price_conditions": [ { "label": "Fast mode", "value": "Not specified", "when": "When fast mode is selected" }, { "label": "Flex mode", "value": "Not specified", "when": "When flex mode is selected" }, { "label": "Time schedule", "value": "{\"periods\":[{\"end_time\":\"16:00\",\"multiplier\":\"1.6\",\"start_time\":\"00:00\"}],\"timezone\":\"UTC\",\"weekdays_only\":false}", "when": "At the request pricing time" } ], "pricing": { "billing_mode": "token", "cache_read_price": "0.00000004125", "cache_write_1h_price": null, "cache_write_price": null, "fast_multiplier": null, "flex_multiplier": null, "image_input_price": null, "image_output_price": null, "input_price": "0.000000165", "intervals": [], "output_price": "0.00000066", "per_request_price": null, "reasoning_effort_multipliers": {}, "time_pricing": { "periods": [ { "end_time": "16:00", "multiplier": "1.6", "start_time": "00:00" } ], "timezone": "UTC", "weekdays_only": false } }, "pricing_profiles": [ { "dimensions": { "regime": "base" }, "label": "Base token rates", "units": [ { "amount": "0.000165000", "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "input_price", "label": "Input tokens", "native_amount_usd_per_unit": "0.000000165", "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": "0.00066000", "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "output_price", "label": "Output tokens", "native_amount_usd_per_unit": "0.00000066", "native_quantity": 1, "native_unit": "output_token", "public_unit_label": "/ 1K tokens", "quantity": 1000, "quantity_is_estimate": false, "rate_role": "typed_native_retail_rate", "side": "out", "unit": "output_token" }, { "amount": "0.00004125000", "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "cache_read_price", "label": "Cache read", "native_amount_usd_per_unit": "0.00000004125", "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" } ] } ], "reasoning_effort_multipliers": {}, "request_model_id": "tencent/hy3", "route_label": "Ultra", "status_reads": [], "tiers": [], "unit": "token", "units": [ { "amount": "0.000165000", "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "input_price", "label": "Input tokens", "native_amount_usd_per_unit": "0.000000165", "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": "0.00066000", "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "output_price", "label": "Output tokens", "native_amount_usd_per_unit": "0.00000066", "native_quantity": 1, "native_unit": "output_token", "public_unit_label": "/ 1K tokens", "quantity": 1000, "quantity_is_estimate": false, "rate_role": "typed_native_retail_rate", "side": "out", "unit": "output_token" }, { "amount": "0.00004125000", "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "cache_read_price", "label": "Cache read", "native_amount_usd_per_unit": "0.00000004125", "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": "tencent/hy3", "request_model_id": "tencent/hy3", "route_label": "Ultra" } ], "name": "Tencent: Hy3", "price": { "in": "0.165", "in_label": null, "out": "0.66", "out_label": null, "sort_in": "0.165", "sort_out": "0.66", "varies": false }, "short": "Tencent Hy3 — e’lon qilingan 262 144 tokenli kontekst va tencent/hy3 ostida Chat Completions kirishiga ega matn modeli. Undan berilgan hujjatlar, suhbat tarixi yoki kod matni bilan foydalaning va tuzilgan xulosa, solishtirish yoki taklif etilgan javob kabi aniq tayyor natijani belgilang. Profil mulohaza, javob formati va funksiya vositasi boshqaruvlarini o‘z ichiga oladi." }, "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": "Tencent Hy3 — e’lon qilingan 262 144 tokenli kontekst va tencent/hy3 ostida Chat Completions kirishiga ega matn modeli. Undan berilgan hujjatlar, suhbat tarixi yoki kod matni bilan foydalaning va tuzilgan xulosa, solishtirish yoki taklif etilgan javob kabi aniq tayyor natijani belgilang. Profil mulohaza, javob formati va funksiya vositasi boshqaruvlarini o‘z ichiga oladi.", "source": { "audit_sha256": "2e00086bcbfc28e64d0cebe97aa47c17d8d5618963027f8ffb9dc6123d7d25b1", "bridge_map_sha256": "1125275768b9636fc8461bc7da5061239a81ddfe508e2557843ca42c58ab0036", "raw_model_json_sha256": "277237ff2637d268fa828bc146811e2cd23d008906d1b3914aad4a0bd211359a", "renderer_sha256": "aa8a0fca1bd770c042b64987512b6187fca2067aea3ddc877f68b163d80e7df6" }, "sourceRevision": "65dbc4e555cedf1288cca167fe27bf813364dda4745eed6e78936979b2162d48" }