{"id":14423,"date":"2026-10-24T14:08:03","date_gmt":"2026-10-24T09:08:03","guid":{"rendered":"https:\/\/pivot.uz\/?p=14423"},"modified":"2026-10-24T14:15:24","modified_gmt":"2026-10-24T09:15:24","slug":"moonshot-ai-kimi-k3-1-pro-modelini-taqdim-etdi-u-claude-opus-5-5ga-yaqin-natija-korsatdi","status":"publish","type":"post","link":"https:\/\/pivot.uz\/uz\/moonshot-ai-kimi-k3-1-pro-modelini-taqdim-etdi-u-claude-opus-5-5ga-yaqin-natija-korsatdi\/","title":{"rendered":"Moonshot AI Kimi K3.1 Pro modelini taqdim etdi: u Claude Opus 5.5\u2019ga yaqin natija ko\u2018rsatdi"},"content":{"rendered":"\n<p class=\"wp-block-paragraph\">Xitoyning Moonshot AI kompaniyasi Kimi K3.1 Pro nomli yangi sun\u2019iy intellekt modelini taqdim etdi. Model dasturlash, murakkab vazifalarni bajarish va katta hajmdagi ma\u2019lumotlar bilan ishlash imkoniyatlarini yaxshilashga qaratilgan.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Kimi K3.1 Pro jami 2,8 trillion parametrga va 1 million tokenli kontekst oynasiga ega. Bunday katta kontekst oynasi modelga uzun hujjatlar, katta hajmdagi kod va murakkab loyihalar bilan bir vaqtning o\u2018zida ishlash imkonini beradi. Model hozirda Kimi platformalari va API orqali foydalanish uchun taqdim etilgan.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Dasturlash bo\u2018yicha Claude Opus 5.5\u2019ga yaqin<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">Moonshot AI e\u2019lon qilgan ma\u2019lumotlarga ko\u2018ra, Kimi K3.1 Pro Terminal-Bench 4.0 sinovida 65,7 foiz natija qayd etgan. Taqqoslash uchun, Claude Opus 5.5 ushbu sinovda 66,4 foiz natija ko\u2018rsatgan.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Terminal-Bench 4.0 AI agentlarining terminal orqali dasturiy vazifalarni bajarish qobiliyatini baholaydi. Bu oddiy kod yozishdan tashqari, muammolarni hal qilish va dasturlash muhitida amaliy vazifalarni bajarishni ham o\u2018z ichiga oladi.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Shunga qaramay, ushbu ko\u2018rsatkichlar Moonshot AI taqdim etgan natijalardir. Ular mustaqil sinovlar orqali tasdiqlanmaguncha, modelning barcha vazifalarda Claude Opus 5.5 bilan teng ishlashini anglatmaydi.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Ochiq vaznli modelning ahamiyati<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">Kimi K3.1 Pro\u2019ning muhim jihatlaridan biri \u2014 uning ochiq vaznli model sifatida chiqarilishi rejalashtirilganidir. Moonshot AI to\u2018liq model vaznlarini 2026-yil 4-noyabrda e\u2019lon qilishni rejalashtirgan.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Model vaznlari ochiq taqdim etilsa, ishlab chiquvchilar undan foydalanish, uni o\u2018z vazifalariga moslashtirish va tegishli texnik imkoniyatlar mavjud bo\u2018lganda o\u2018z infratuzilmasida ishga tushirish imkoniyatiga ega bo\u2018lishi mumkin. Bu tashqi AI xizmatlariga bog\u2018liqlikni kamaytirish va ma\u2019lumotlar ustidan nazoratni kuchaytirish uchun muhim bo\u2018lishi mumkin. Biroq bunday foydalanish imkoniyatlari modelning litsenziyasi va texnik talablariga bog\u2018liq.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Ochiq vaznli modellar rivojlanishi kuchli AI texnologiyalaridan foydalanish imkoniyatlarini kengaytirishi mumkin. Kimi K3.1 Pro\u2019ning amaliy salohiyati esa to\u2018liq vaznlar e\u2019lon qilingach va mustaqil sinovlar o\u2018tkazilgach yanada aniqroq baholanadi.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Xitoyning Moonshot AI kompaniyasi 1 million tokenli kontekst oynasiga ega Kimi K3.1 Pro modelini taqdim etdi. Kompaniya ma\u2019lumotlariga ko\u2018ra, model dasturlash bo\u2018yicha sinovda Claude Opus 5.5 natijasiga yaqin ko\u2018rsatkich qayd etgan. Uning to\u2018liq vaznlarini 4-noyabrda e\u2019lon qilish rejalashtirilgan.<\/p>\n","protected":false},"author":1,"featured_media":14421,"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-14423","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\/14423","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=14423"}],"version-history":[{"count":1,"href":"https:\/\/pivot.uz\/uz\/wp-json\/wp\/v2\/posts\/14423\/revisions"}],"predecessor-version":[{"id":14424,"href":"https:\/\/pivot.uz\/uz\/wp-json\/wp\/v2\/posts\/14423\/revisions\/14424"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/pivot.uz\/uz\/wp-json\/wp\/v2\/media\/14421"}],"wp:attachment":[{"href":"https:\/\/pivot.uz\/uz\/wp-json\/wp\/v2\/media?parent=14423"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/pivot.uz\/uz\/wp-json\/wp\/v2\/categories?post=14423"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/pivot.uz\/uz\/wp-json\/wp\/v2\/tags?post=14423"},{"taxonomy":"jnews-series","embeddable":true,"href":"https:\/\/pivot.uz\/uz\/wp-json\/wp\/v2\/jnews-series?post=14423"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}