gpt-6.1-sol-ultrafast

{"about":"### Kod va murakkab ish vazifalari\n\nGPT-6.1 Sol Ultrafast — kod, texnik talablar va kasbiy materiallarni tahlil qilish kartochkasi. OpenAI asosiy GPT-6.1 Solʼni mulohazali modellar qatoriga kiritib, murakkab dasturlash va kasbiy ishni uning bosh yo‘nalishlari deb ko‘rsatadi. Bunday modellar javob tayyorlashda ichki mulohaza tokenlaridan foydalanadi; ko‘rinadigan natijani izoh, dastur matni yoki tugallangan hujjat shaklida so‘rash mumkin.\n\n### Dastlabki vazifadan yechimgacha\n\nDasturlashda foydali qo‘llanishlar funksiya xatti-harakatini tahlil qilish, talablar bo‘yicha o‘zgarish tayyorlash va refaktoring rejasini tuzishni qamraydi. Manba kodi, interfeys cheklovlari va kirish maʼlumotlari misollarini berib, aniq natija so‘rang. Xato izlashda kutilgan va haqiqiy xatti-harakatni qo‘shing. Model matn beradi: taklif etilgan kod, buyruq va tekshiruvlarni o‘z ish muhitingizda qo‘llash mumkin.\n\nKasbiy vazifalarda Solʼni katta spetsifikatsiyalarni tahlil qilish va bir nechta manbadan material tayyorlash jarayoniga qo‘shish mumkin. Masalan, talablarni yagona tavsifga yig‘ish, amalga oshirish variantlarini taqqoslash, texnik yechimni boshqa auditoriyaga tushuntirish yoki hujjat loyihasini tayyorlash. Taqqoslash mezonlari va dastlabki maʼlumotlar javob asosini belgilaydi; kerakli format tekshirish va keyin ishlatish qulay natija olishga yordam beradi.\n\n### Katta matnli kontekst\n\nAsosiy GPT-6.1 Sol uchun OpenAI 1 050 000 tokenli oyna ko‘rsatadi. Ailoot API kartochkasida kirish chegarasi 922 000, chiqish chegarasi 128 000 token. Bu qiymatlar asl materiallar va natija hajmini alohida rejalashga imkon beradi. Mulohaza tokenlari ham generatsiya byudjetida qatnashadi, shu sabab eng katta chiqish aynan shuncha uzun javob vaʼdasi emas.\n\nKatta loyiha uchun fayl va bo‘lim nomlarini mazmuni bilan birga yuboring. Savol aniq komponent yoki hujjatga tegishli bo‘lsa, uning chegarasini belgilang. Shunda vazifa kerakli materialga bog‘lanadi va taklif etilgan o‘zgarishlarni asl maʼlumot bilan taqqoslash osonlashadi.\n\n### Ailoot APIʼdagi kirish va natija\n\nKartochka matn qabul qilib, matn qaytaradi. Chat Completions, Responses va Geminiʼga mos generateContent mavjud. Bu jarayonda hujjat va tasvirlar uchun oldindan ajratib olingan matn yoki matnli tavsif ishlatiladi. Mijozingiz interfeysini tanlab, yakuniy natija, majburiy cheklovlar va javob tuzilishini belgilang.","alias_of":null,"aliases":[],"author":"OpenAI","canonical_model":"gpt-6.1-sol-ultrafast","ctx":922000,"formats":["chat","gemini","responses"],"id":"gpt-6.1-sol-ultrafast","input":["text"],"kind":"text","max_out":128000,"methods":[{"cache_read":0.2,"cache_write":5.0,"cache_write_1h":5.0,"cache_write_5m":5.0,"conditional_meter":null,"ctx":922000,"family":"openai","fast_multiplier":1,"flex_multiplier":1,"fmt":"chat","http":"POST","img_in":null,"img_out":null,"in":4.0,"input":["text"],"label":"OpenAI Chat","max_out":128000,"max_tool_calls":null,"out":20.0,"output":["text"],"path":"/v1/chat/completions","request_model_id":"gpt-6.1-sol-ultrafast","route_label":"Ultra","status_reads":[],"tiers":[{"cache_read":0.2,"cache_write":5.0,"cache_write_1h":5.0,"cache_write_5m":5.0,"in":4.0,"interval_boundary":"min_exclusive_max_inclusive","label":"","max":272000,"min":0,"null_rate_policy":"inherit_base_rate","out":20.0},{"cache_read":0.4,"cache_write":10.0,"cache_write_1h":10.0,"cache_write_5m":10.0,"in":8.0,"interval_boundary":"min_exclusive_max_inclusive","label":"","max":null,"min":272000,"null_rate_policy":"inherit_base_rate","out":30.0}],"tool_prices":null,"unit":"token","units":[]},{"cache_read":0.2,"cache_write":5.0,"cache_write_1h":5.0,"cache_write_5m":5.0,"conditional_meter":null,"ctx":922000,"family":"openai","fast_multiplier":1,"flex_multiplier":1,"fmt":"responses","http":"POST","img_in":null,"img_out":null,"in":4.0,"input":["text"],"label":"OpenAI Responses","max_out":128000,"max_tool_calls":null,"out":20.0,"output":["text"],"path":"/v1/responses","request_model_id":"gpt-6.1-sol-ultrafast","route_label":"Ultra","status_reads":[],"tiers":[{"cache_read":0.2,"cache_write":5.0,"cache_write_1h":5.0,"cache_write_5m":5.0,"in":4.0,"interval_boundary":"min_exclusive_max_inclusive","label":"","max":272000,"min":0,"null_rate_policy":"inherit_base_rate","out":20.0},{"cache_read":0.4,"cache_write":10.0,"cache_write_1h":10.0,"cache_write_5m":10.0,"in":8.0,"interval_boundary":"min_exclusive_max_inclusive","label":"","max":null,"min":272000,"null_rate_policy":"inherit_base_rate","out":30.0}],"tool_prices":null,"unit":"token","units":[]},{"cache_read":0.2,"cache_write":5.0,"cache_write_1h":5.0,"cache_write_5m":5.0,"conditional_meter":null,"ctx":922000,"family":"gemini","fast_multiplier":1,"flex_multiplier":1,"fmt":"gemini","http":"POST","img_in":null,"img_out":null,"in":4.0,"input":["text"],"label":"Gemini generateContent","max_out":128000,"max_tool_calls":null,"out":20.0,"output":["text"],"path":"/v1beta/models/gpt-6.1-sol-ultrafast:generateContent","request_model_id":"gpt-6.1-sol-ultrafast","route_label":"Ultra","status_reads":[],"tiers":[{"cache_read":0.2,"cache_write":5.0,"cache_write_1h":5.0,"cache_write_5m":5.0,"in":4.0,"interval_boundary":"min_exclusive_max_inclusive","label":"","max":272000,"min":0,"null_rate_policy":"inherit_base_rate","out":20.0},{"cache_read":0.4,"cache_write":10.0,"cache_write_1h":10.0,"cache_write_5m":10.0,"in":8.0,"interval_boundary":"min_exclusive_max_inclusive","label":"","max":null,"min":272000,"null_rate_policy":"inherit_base_rate","out":30.0}],"tool_prices":null,"unit":"token","units":[]}],"model_aliases":[{"canonical_model_id":"gpt-6.1-sol-ultrafast","request_model_id":"gpt-6.1-sol-ultrafast","route_label":"Ultra"}],"name":"gpt-6.1-sol-ultrafast","price":{"in":4.0,"in_label":null,"out":20.0,"out_label":null,"sort_in":4.0,"sort_out":20.0,"varies":false},"public_id":"gpt-6.1-sol-ultrafast","short":"Kod tahlili, murakkab matnli vazifalar va katta kontekstda kasbiy materiallar tayyorlash uchun GPT-6.1 Sol Ultrafast."}