{"id":14239,"date":"2026-10-15T15:00:00","date_gmt":"2026-10-15T10:00:00","guid":{"rendered":"https:\/\/pivot.uz\/?p=14239"},"modified":"2026-10-15T12:59:00","modified_gmt":"2026-10-15T07:59:00","slug":"google-gemini-4-argon-modelini-global-miqyosda-taqdim-etdi","status":"publish","type":"post","link":"https:\/\/pivot.uz\/uz\/google-gemini-4-argon-modelini-global-miqyosda-taqdim-etdi\/","title":{"rendered":"Google Gemini 4 Argon modelini global miqyosda taqdim etdi"},"content":{"rendered":"\n<p class=\"wp-block-paragraph\">Google kompaniyasi murakkab vazifalarni bajarishga mo\u2018ljallangan yangi flagman sun\u2019iy intellekt modeli \u2014 Gemini 4 Argon\u2019ni global miqyosda foydalanishga taqdim etdi. 2026-yil 13-oktabrda e\u2019lon qilingan model dasturlash, ilmiy tadqiqotlar, moliya, huquq va kiberxavfsizlik kabi sohalardagi murakkab vazifalarni bajarishga yo\u2018naltirilgan.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Murakkab vazifalar va katta hajmdagi ma\u2019lumotlar bilan ishlash<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Gemini 4 Argon bir necha bosqichdan iborat vazifalarni bajarish, katta hajmdagi ma\u2019lumotlarni tahlil qilish va murakkab dasturiy loyihalar bilan ishlash uchun ishlab chiqilgan. Google ma\u2019lumotlariga ko\u2018ra, model dasturiy kodni qayta tuzish, biznes jarayonlarini optimallashtirish hamda ilmiy muammolarni o\u2018rganishda qo\u2018llanishi mumkin.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Modelning asosiy xususiyatlaridan biri \u2014 1 048 576 tokenlik kontekst oynasi. Bu unga katta hajmdagi hujjatlar, kodlar va boshqa ma\u2019lumotlarni bir so\u2018rov doirasida qayta ishlash imkonini beradi. Kiruvchi ma\u2019lumotlar, modelning fikrlash jarayoni va javobi ushbu umumiy limit doirasida hisoblanadi.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">API orqali foydalanish narxi<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Google Gemini 4 Argon uchun dastlabki API tariflarini har 1 million kiruvchi token uchun $2 va har 1 million chiquvchi token uchun $10 etib belgilagan. Ushbu narxlar 2026-yil 30-noyabrgacha amal qiladi. 1-dekabrdan boshlab tariflar mos ravishda $4 va $20 bo\u2018lishi rejalashtirilgan.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">API orqali foydalanish ishlab chiquvchilarga model imkoniyatlarini o\u2018z ilovalari va xizmatlariga integratsiya qilish imkonini beradi.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Modeldan kimlar foydalanishi mumkin?<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Gemini 4 Argon global miqyosda ishlab chiquvchilar va korxonalar uchun Gemini API hamda Google AI Studio orqali taqdim etilgan. Model Google AI Ultra obunachilari uchun Antigravity platformasida, Google AI Pro va Ultra obunachilari uchun esa Gemini ilovasi va Google Search\u2019ning AI Mode funksiyasida mavjud.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Google\u2019ning ta\u2019kidlashicha, model kompaniyaning ichki dasturiy ishlab chiqish jarayonlarida ham qo\u2018llanib, AI yordamida kod topshirish ko\u2018rsatkichini 35 foizdan ko\u2018proqqa oshirishga yordam bergan.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Gemini 4 Argon\u2019ning kengroq foydalanishga chiqarilishi Google\u2019ning murakkab professional vazifalar uchun mo\u2018ljallangan AI modellar bozoridagi mavqeini mustahkamlashga qaratilgan. Uning amaliy samaradorligi esa foydalanuvchilarning vazifalari, foydalanish shartlari va xarajatlariga qarab farq qilishi mumkin.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Google kompaniyasi murakkab vazifalarni bajarishga mo\u2018ljallangan yangi flagman sun\u2019iy intellekt modeli \u2014 Gemini 4 Argon\u2019ni global miqyosda foydalanishga taqdim etdi. 2026-yil 13-oktabrda e\u2019lon qilingan model dasturlash, ilmiy tadqiqotlar, moliya, huquq va kiberxavfsizlik kabi sohalardagi murakkab vazifalarni bajarishga yo\u2018naltirilgan. Murakkab vazifalar va katta hajmdagi ma\u2019lumotlar bilan ishlash Gemini 4 Argon bir necha bosqichdan iborat vazifalarni bajarish, [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":14237,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"jnews-multi-image_gallery":[],"jnews_single_post":{"format":"standard"},"jnews_primary_category":[],"jnews_override_bookmark_settings":[],"jnews_paywall_metabox":[],"jnews_override_counter":[],"jnews_podcast_option":[],"jnews_podcast_series":[],"footnotes":""},"categories":[115],"tags":[],"jnews-series":[],"class_list":["post-14239","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-yangiliklar"],"_links":{"self":[{"href":"https:\/\/pivot.uz\/uz\/wp-json\/wp\/v2\/posts\/14239","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/pivot.uz\/uz\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/pivot.uz\/uz\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/pivot.uz\/uz\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/pivot.uz\/uz\/wp-json\/wp\/v2\/comments?post=14239"}],"version-history":[{"count":1,"href":"https:\/\/pivot.uz\/uz\/wp-json\/wp\/v2\/posts\/14239\/revisions"}],"predecessor-version":[{"id":14240,"href":"https:\/\/pivot.uz\/uz\/wp-json\/wp\/v2\/posts\/14239\/revisions\/14240"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/pivot.uz\/uz\/wp-json\/wp\/v2\/media\/14237"}],"wp:attachment":[{"href":"https:\/\/pivot.uz\/uz\/wp-json\/wp\/v2\/media?parent=14239"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/pivot.uz\/uz\/wp-json\/wp\/v2\/categories?post=14239"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/pivot.uz\/uz\/wp-json\/wp\/v2\/tags?post=14239"},{"taxonomy":"jnews-series","embeddable":true,"href":"https:\/\/pivot.uz\/uz\/wp-json\/wp\/v2\/jnews-series?post=14239"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}