Pareto 26.9

{"about":"### Pareto oilasining oldingi nashri\n\nPareto 26.9 — Unbiased tarkibli modelining alohida versiyasi. Pareto oilasida bitta so‘rov bir nechta ilg‘or va ochiq model ishtirokida qayta ishlanadi, natijalar esa umumiy javobga birlashadi. Foydalanuvchi har bir komponentni qo‘lda tanlamasdan bitta Pareto modeli bilan ishlaydi. Ishlab chiqaruvchi asosiy modellar tarkibi o‘zgarishi mumkinligini bildiradi.\n\n26.9 versiyasi barqaror 26.10 paydo bo‘lganidan keyin ham saqlangan. Uning aniq `unbiased/pareto-26.9` identifikatori ilovada oldingi nashrni ochiq tanlashga imkon beradi. Bu keyingisiga avtomatik o‘tish o‘rniga ishlatilayotgan versiyani nomlash muhim bo‘lgan mavjud jarayonlar va taqqoslashlar uchun mazmunli. Nomni belgilashning o‘zi ichki tarkib o‘zgarmasligini anglatmaydi.\n\n### Berilgan materiallar bilan ishlash\n\nAilootʼda bu versiya matn qabul qilib, matnli javob tuzadi. Kontekst oynasi — 262 144 token. U ko‘rsatmalar, tarix, asl materiallar va javobni qamraydi; model metamaʼlumotlarida javob hajmi 131 072 tokengacha deb ko‘rsatilgan. 26.10 nashrida kontekst oynasi kattaroq, shu bois 26.9 tanlanganda vazifaga haqiqatan tegishli hujjat va parchalarni oldindan saralash foydali.\n\nIsh jarayonini bir nechta matnni taqqoslash asosida qurish mumkin. Talablar, yechim variantlari va tanlash mezonlarini bering, keyin har bir mezon bo‘yicha dalilli taqqoslash jadvalini so‘rang. Uzun hujjat uchun tahlil maqsadini belgilang: ziddiyatlarni topish, mazmunli xulosa tuzish, muallifga savollar yig‘ish yoki yangilangan tuzilma tayyorlash. Asl parchalarning nomlari xulosalarni so‘rov ichidagi maʼlumotga bog‘lashga yordam beradi.\n\n### Texnik muloqot\n\nDasturiy vazifani tahlil qilishda tegishli kod va o‘z muhitingizda olingan ishga tushirish natijasini kiriting. Kuzatuvni tushuntirish, o‘zgarish taklif qilish va natijasini tekshirish belgilarini sanashni so‘rang. Keyingi xabarda tekshiruv natijasini yuboring. Shunda matnli muloqot model fayllar yoki bajarish muhitiga o‘zi kira oladi degan taxminsiz haqiqiy vazifaga bog‘lanadi.\n\nYangi matn tayyorlashda auditoriya, reja va kerakli batafsillikni belgilash foydali. Javob hujjat qoralamasi, dastlabki maʼlumotlar xulosasi, farqlar ro‘yxati yoki keyingi harakatlar ketma-ketligi bo‘lishi mumkin — aniq formatni so‘rovingiz belgilaydi.\n\nPareto 26.9 Messages, Responses, Chat Completions va matnli generateContent formatlarida berilgan. Ular mijozga integratsiya usullarini tavsiflaydi. Bu ulanishda materiallar matn shaklida uzatiladi; so‘rov formatini tanlash tasvirlar, kod bajarish yoki tashqi tizimlarga murojaat qilishni qo‘shmaydi.","alias_of":null,"aliases":[],"author":"Unbiased","canonical_model":"unbiased/pareto-26.9","ctx":null,"formats":["chat","gemini","messages","responses"],"id":"unbiased/pareto-26.9","input":["text"],"kind":"text","max_out":null,"methods":[{"cache_read":0.5,"cache_write":null,"cache_write_1h":null,"cache_write_5m":null,"conditional_meter":null,"ctx":null,"family":"anthropic","fast_multiplier":1,"flex_multiplier":1,"fmt":"messages","http":"POST","img_in":null,"img_out":null,"in":5.0,"input":["text"],"label":"Anthropic Messages","max_out":null,"max_tool_calls":null,"out":15.0,"output":["text"],"path":"/v1/messages","request_model_id":"unbiased/pareto-26.9","route_label":"Ultra","status_reads":[],"tiers":[],"tool_prices":null,"unit":"token","units":[]},{"cache_read":0.5,"cache_write":null,"cache_write_1h":null,"cache_write_5m":null,"conditional_meter":null,"ctx":null,"family":"openai","fast_multiplier":1,"flex_multiplier":1,"fmt":"responses","http":"POST","img_in":null,"img_out":null,"in":5.0,"input":["text"],"label":"OpenAI Responses","max_out":null,"max_tool_calls":null,"out":15.0,"output":["text"],"path":"/v1/responses","request_model_id":"unbiased/pareto-26.9","route_label":"Ultra","status_reads":[],"tiers":[],"tool_prices":null,"unit":"token","units":[]},{"cache_read":0.5,"cache_write":null,"cache_write_1h":null,"cache_write_5m":null,"conditional_meter":null,"ctx":null,"family":"openai","fast_multiplier":1,"flex_multiplier":1,"fmt":"chat","http":"POST","img_in":null,"img_out":null,"in":5.0,"input":["text"],"label":"OpenAI Chat","max_out":null,"max_tool_calls":null,"out":15.0,"output":["text"],"path":"/v1/chat/completions","request_model_id":"unbiased/pareto-26.9","route_label":"Ultra","status_reads":[],"tiers":[],"tool_prices":null,"unit":"token","units":[]},{"cache_read":0.5,"cache_write":null,"cache_write_1h":null,"cache_write_5m":null,"conditional_meter":null,"ctx":null,"family":"gemini","fast_multiplier":1,"flex_multiplier":1,"fmt":"gemini","http":"POST","img_in":null,"img_out":null,"in":5.0,"input":["text"],"label":"Gemini generateContent","max_out":null,"max_tool_calls":null,"out":15.0,"output":["text"],"path":"/v1beta/models/unbiased/pareto-26.9:generateContent","request_model_id":"unbiased/pareto-26.9","route_label":"Ultra","status_reads":[],"tiers":[],"tool_prices":null,"unit":"token","units":[]}],"model_aliases":[{"canonical_model_id":"unbiased/pareto-26.9","request_model_id":"unbiased/pareto-26.9","route_label":"Ultra"}],"name":"Pareto 26.9","price":{"in":5.0,"in_label":null,"out":15.0,"out_label":null,"sort_in":5.0,"sort_out":15.0,"varies":false},"public_id":"unbiased/pareto-26.9","short":"Aniq belgilangan ish jarayonlari uchun 262 144 tokenli kontekstga ega Unbiased tarkibli matn modelining oldingi versiyasi."}