OpenAI: GPT-6.1 Terra Pro

{"about":"### Matnli materiallar bilan ishlash\n\nAiloot APIʼda GPT-6.1 Terra Pro matnli so‘rov qabul qilib, matnli javob qaytaradi. Bu kartochkani hujjat tayyorlash, asl materiallarni tahlil qilish va muloqotda natijani izchil aniqlashtirish jarayoniga qo‘shish mumkin. Vazifa mazmuni, zarur maʼlumotlar va kerakli javob shaklini bitta so‘rovda yoki suhbat xabarlarida yuboring.\n\n### Hujjat tayyorlash\n\nMaqsaddan boshlang: qanday hujjat kerak, kim uchun va qaysi harakatni bajarishga yordam berishi lozim. Tezislar, manba parchalari yoki qoralamani ilova qiling. Keyin tuzilmani belgilang: masalan, kirish, asosiy xulosalar, dalillar va keyingi qadamlar. Tahrirlashda nimani o‘zgartirish kerakligini aniqlashtiring: uzunlik, ohang, atamalar yoki bayon tartibi. Bunday so‘rov «matnni yaxshila» degan noaniq topshiriq o‘rniga tekshiriladigan natijani belgilaydi.\n\n### Tahlil va taqqoslash\n\nBir nechta materialni tahlil qilishda ularni nomlar bilan ajrating va taqqoslash mezonlarini belgilang. Har bir matnning qisqa mazmuni, umumiy savollar ro‘yxati yoki talablarni bandma-band taqqoslashni so‘rash mumkin. Manbalarga aniq bog‘lash muhim bo‘lsa, xulosa yonida hujjat nomi va tegishli parchani ko‘rsatishni so‘rang. Maydonlar ro‘yxati va to‘ldirish misoli keyinchalik qo‘lda ishlov berishga qulay javob olishga yordam beradi.\n\n### Ulanish va hajm\n\nAiloot APIʼda bu kartochka uchun Messages, Responses, Chat Completions va Geminiʼga mos generateContent matnli interfeyslari sozlangan. Mijozingiz qo‘llaydigan xabar formatidan foydalaning. Hujjatlar va boshqa asl materiallar mazmuni matn bilan uzatiladi; natija saqlash, tahrirlash yoki keyingi ish bosqichiga berish mumkin bo‘lgan matndir.\n\nKatta vazifa tayyorlashda hajmni asl materiallar, ko‘rsatma va kutilgan javob o‘rtasida taqsimlang. Qisqa yakun kerak bo‘lsa, uzunligini so‘rovda aniq bering; to‘liqlik muhim bo‘lsa, majburiy bo‘limlar va tekshirish mezonlarini sanang.\n\n### So‘rov ketma-ketligi\n\n1. Yakuniy vazifani yozib, asl matnni qo‘shing.\n2. Cheklovlar va kerakli tuzilmani belgilang.\n3. Javobni asl materiallar bilan taqqoslang.\n4. Umumiy maqsad va talablarni saqlagan holda alohida bo‘limlarni aniqlashtiring.","alias_of":null,"aliases":[],"author":"OpenAI","canonical_model":"openai/gpt-6.1-terra-pro","ctx":null,"formats":["chat","gemini","messages","responses"],"id":"openai/gpt-6.1-terra-pro","input":["text"],"kind":"text","max_out":null,"methods":[{"cache_read":0.1,"cache_write":2.5,"cache_write_1h":2.5,"cache_write_5m":2.5,"conditional_meter":null,"ctx":null,"family":"anthropic","fast_multiplier":1,"flex_multiplier":1,"fmt":"messages","http":"POST","img_in":null,"img_out":null,"in":2.0,"input":["text"],"label":"Anthropic Messages","max_out":null,"max_tool_calls":null,"out":10.0,"output":["text"],"path":"/v1/messages","request_model_id":"openai/gpt-6.1-terra-pro","route_label":"Ultra","status_reads":[],"tiers":[{"cache_read":0.1,"cache_write":2.5,"cache_write_1h":2.5,"cache_write_5m":2.5,"in":2.0,"interval_boundary":"min_exclusive_max_inclusive","label":"<=272K","max":272000,"min":0,"null_rate_policy":"inherit_base_rate","out":10.0},{"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":">272K","max":null,"min":272000,"null_rate_policy":"inherit_base_rate","out":15.0}],"tool_prices":{"web_search_call":0.02},"unit":"token","units":[]},{"cache_read":0.1,"cache_write":2.5,"cache_write_1h":2.5,"cache_write_5m":2.5,"conditional_meter":null,"ctx":null,"family":"openai","fast_multiplier":1,"flex_multiplier":1,"fmt":"responses","http":"POST","img_in":null,"img_out":null,"in":2.0,"input":["text"],"label":"OpenAI Responses","max_out":null,"max_tool_calls":null,"out":10.0,"output":["text"],"path":"/v1/responses","request_model_id":"openai/gpt-6.1-terra-pro","route_label":"Ultra","status_reads":[],"tiers":[{"cache_read":0.1,"cache_write":2.5,"cache_write_1h":2.5,"cache_write_5m":2.5,"in":2.0,"interval_boundary":"min_exclusive_max_inclusive","label":"<=272K","max":272000,"min":0,"null_rate_policy":"inherit_base_rate","out":10.0},{"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":">272K","max":null,"min":272000,"null_rate_policy":"inherit_base_rate","out":15.0}],"tool_prices":{"web_search_call":0.02},"unit":"token","units":[]},{"cache_read":0.1,"cache_write":2.5,"cache_write_1h":2.5,"cache_write_5m":2.5,"conditional_meter":null,"ctx":null,"family":"openai","fast_multiplier":1,"flex_multiplier":1,"fmt":"chat","http":"POST","img_in":null,"img_out":null,"in":2.0,"input":["text"],"label":"OpenAI Chat","max_out":null,"max_tool_calls":null,"out":10.0,"output":["text"],"path":"/v1/chat/completions","request_model_id":"openai/gpt-6.1-terra-pro","route_label":"Ultra","status_reads":[],"tiers":[{"cache_read":0.1,"cache_write":2.5,"cache_write_1h":2.5,"cache_write_5m":2.5,"in":2.0,"interval_boundary":"min_exclusive_max_inclusive","label":"<=272K","max":272000,"min":0,"null_rate_policy":"inherit_base_rate","out":10.0},{"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":">272K","max":null,"min":272000,"null_rate_policy":"inherit_base_rate","out":15.0}],"tool_prices":{"web_search_call":0.02},"unit":"token","units":[]},{"cache_read":0.1,"cache_write":2.5,"cache_write_1h":2.5,"cache_write_5m":2.5,"conditional_meter":null,"ctx":null,"family":"gemini","fast_multiplier":1,"flex_multiplier":1,"fmt":"gemini","http":"POST","img_in":null,"img_out":null,"in":2.0,"input":["text"],"label":"Gemini generateContent","max_out":null,"max_tool_calls":null,"out":10.0,"output":["text"],"path":"/v1beta/models/openai/gpt-6.1-terra-pro:generateContent","request_model_id":"openai/gpt-6.1-terra-pro","route_label":"Ultra","status_reads":[],"tiers":[{"cache_read":0.1,"cache_write":2.5,"cache_write_1h":2.5,"cache_write_5m":2.5,"in":2.0,"interval_boundary":"min_exclusive_max_inclusive","label":"<=272K","max":272000,"min":0,"null_rate_policy":"inherit_base_rate","out":10.0},{"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":">272K","max":null,"min":272000,"null_rate_policy":"inherit_base_rate","out":15.0}],"tool_prices":{"web_search_call":0.02},"unit":"token","units":[]}],"model_aliases":[{"canonical_model_id":"openai/gpt-6.1-terra-pro","request_model_id":"openai/gpt-6.1-terra-pro","route_label":"Ultra"}],"name":"OpenAI: GPT-6.1 Terra Pro","price":{"in":2.0,"in_label":null,"out":10.0,"out_label":null,"sort_in":2.0,"sort_out":10.0,"varies":false},"public_id":"openai/gpt-6.1-terra-pro","short":"Hujjatlar bilan ishlash, materiallarni taqqoslash va tuzilmali javoblar tayyorlash uchun GPT-6.1 Terra Pro matnli kartochkasi."}