{"id":1570,"date":"2026-07-17T00:41:13","date_gmt":"2026-07-17T00:41:13","guid":{"rendered":"https:\/\/convly.ai\/model\/kimi-k3\/"},"modified":"2026-08-03T02:30:20","modified_gmt":"2026-08-03T02:30:20","slug":"kimi-k3","status":"publish","type":"ai_model","link":"https:\/\/convly.ai\/ar\/model\/kimi-k3\/","title":{"rendered":"Kimi K3"},"content":{"rendered":"<h2>\u0645\u0627 \u0647\u0648 \u0646\u0645\u0648\u0630\u062c Kimi \u0643\u064a\u0647 3\u061f<\/h2>\n<p>Kimi K3 \u0647\u0648 \u0627\u0644\u0646\u0645\u0648\u0630\u062c \u0627\u0644\u0623\u0645\u0627\u0645\u064a \u0627\u0644\u0645\u0641\u062a\u0648\u062d \u0645\u0646 Moonshot AI \u0627\u0644\u0645\u0643\u0648\u064e\u0651\u0646 \u0645\u0646 2.8 \u062a\u0631\u064a\u0644\u064a\u0648\u0646 \u0645\u0639\u0644\u064e\u0651\u0645\u0629 \u2014 \u0648\u0647\u0648 \u0646\u0645\u0648\u0630\u062c \u064a\u0639\u062a\u0645\u062f \u0639\u0644\u0649 \u062e\u0644\u064a\u0637 \u0627\u0644\u062e\u0628\u0631\u0627\u0621<br \/>\n\u0648\u064a\u064f\u0641\u0639\u0650\u0651\u0644 16 \u062e\u0628\u064a\u0631\u064b\u0627 \u0641\u0642\u0637 \u0645\u0646 \u0623\u0635\u0644 896 \u062e\u0628\u064a\u0631\u064b\u0627 \u0644\u0643\u0644 \u0631\u0645\u0632 (token)\u060c \u0645\u0639 \u0646\u0627\u0641\u0630\u0629 \u0633\u064a\u0627\u0642 \u062a\u0628\u0644\u063a \u0645\u0644\u064a\u0648\u0646 \u0631\u0645\u0632\u060c \u0648\u062f\u0639\u0645 \u0628\u0635\u0631\u064a<br \/>\n\u0637\u0628\u064a\u0639\u064a \u0648\u0627\u0633\u062a\u062f\u0644\u0627\u0644 \u062f\u0627\u0626\u0645 \u0627\u0644\u062a\u0634\u063a\u064a\u0644. \u0648\u064a\u062d\u0642\u0650\u0651\u0642 \u0647\u0630\u0627 \u0627\u0644\u0646\u0645\u0648\u0630\u062c \u062f\u0631\u062c\u0629 57 \u0641\u064a \u0645\u0624\u0634\u0631 Artificial Analysis Intelligence Index\u060c<br \/>\n\u0645\u062a\u0641\u0648\u0650\u0651\u0642\u064b\u0627 \u0642\u0644\u064a\u0644\u064b\u0627 \u0639\u0644\u0649 Claude Opus 4.8 \u0627\u0644\u0628\u0627\u0644\u063a\u0629 56\u060c \u0648\u0645\u062a\u0623\u062e\u0650\u0651\u0631\u064b\u0627 \u0641\u0642\u0637 \u0639\u0646 GPT-5.6 Sol (59) \u0648Claude Fable 5 (60)<br \/>\n\u2014 \u0648\u0647\u064a \u0623\u0641\u0636\u0644 \u0646\u062a\u064a\u062c\u0629 \u0645\u0633\u062c\u064e\u0651\u0644\u0629 \u062d\u062a\u0649 \u0627\u0644\u0622\u0646 \u0644\u0646\u0645\u0648\u0630\u062c \u0645\u0641\u062a\u0648\u062d \u0627\u0644\u0648\u0632\u0646. \u0648\u0643\u0627\u0646\u062a \u0627\u0644\u0623\u0648\u0632\u0627\u0646 \u0645\u0642\u0631\u064e\u0651\u0631 \u0635\u062f\u0648\u0631\u0647\u0627 \u0641\u064a 27 \u064a\u0648\u0644\u064a\u0648 2026.<\/p>\n<p>\u0648\u0645\u0627 \u064a\u0643\u062a\u0633\u0628\u0647 \u0647\u0630\u0627 \u0627\u0644\u0623\u0645\u0631 \u0645\u0646 \u0623\u0647\u0645\u064a\u0629 \u0647\u0648 \u0627\u0644\u0641\u062c\u0648\u0629 \u2014 \u0623\u0648 \u0628\u0627\u0644\u0623\u062d\u0631\u0649 \u063a\u064a\u0627\u0628\u0647\u0627. \u0641\u0648\u062c\u0648\u062f \u0646\u0645\u0648\u0630\u062c \u0645\u0641\u062a\u0648\u062d \u0627\u0644\u0648\u0632\u0646<br \/>\n\u064a\u0642\u062a\u0631\u0628 \u0645\u0646 \u0623\u0641\u0636\u0644 \u0646\u0645\u0648\u0630\u062c \u0645\u063a\u0644\u0642 \u0641\u064a \u0627\u0644\u0633\u0648\u0642 \u0628\u062b\u0644\u0627\u062b \u0646\u0642\u0627\u0637 \u0641\u0642\u0637 \u064a\u0632\u064a\u0644 \u0622\u062e\u0631 \u062d\u062c\u0629 \u0645\u0631\u064a\u062d\u0629 \u0644\u0644\u062f\u0641\u0639<br \/>\n\u0628\u0623\u0633\u0639\u0627\u0631 \u0623\u0645\u0627\u0645\u064a\u0629 \u0628\u0627\u0647\u0638\u0629 \u0627\u0633\u062a\u0646\u0627\u062f\u064b\u0627 \u0625\u0644\u0649 \u0627\u0644\u0642\u062f\u0631\u0627\u062a \u0648\u062d\u062f\u0647\u0627. \u0648\u0628\u0633\u0639\u0631 3 \u062f\u0648\u0644\u0627\u0631\u0627\u062a \u0644\u0644\u0625\u062f\u062e\u0627\u0644 \u064815 \u062f\u0648\u0644\u0627\u0631\u064b\u0627 \u0644\u0644\u0625\u062e\u0631\u0627\u062c \u0644\u0643\u0644 \u0645\u0644\u064a\u0648\u0646 \u0631\u0645\u0632\u060c \u0641\u0625\u0646 \u0633\u0639\u0631 K3<br \/>\n\u064a\u0642\u0644\u064f\u0651 \u0628\u0646\u062d\u0648 \u0627\u0644\u0646\u0635\u0641 \u0645\u0642\u0627\u0631\u0646\u0629\u064b \u0628\u0627\u0644\u0645\u062a\u0648\u0633\u0637 \u0627\u0644\u0645\u0631\u062c\u064e\u0651\u062d \u0644\u062a\u0643\u0644\u0641\u0629 GPT-5.5 \u0631\u063a\u0645 \u062a\u062d\u0642\u064a\u0642\u0647 \u062f\u0631\u062c\u0629 \u0623\u0639\u0644\u0649. \u0623\u0645\u0627 \u0627\u0644\u0639\u064a\u0628 \u0641\u0647\u0648 \u062a\u0634\u063a\u064a\u0644\u064a: \u0625\u0630 \u064a\u062a\u0637\u0644\u0628<br \/>\n\u0645\u0627 \u064a\u0642\u0627\u0631\u0628 1.4 \u062a\u064a\u0631\u0627\u0628\u0627\u064a\u062a \u0645\u0646 \u0630\u0627\u0643\u0631\u0629 VRAM \u0639\u0646\u062f \u0627\u0644\u062a\u0643\u0645\u064a\u0645 (quantisation) \u0628\u06404 \u0628\u062a\u060c \u0645\u0627 \u064a\u0633\u062a\u0644\u0632\u0645 \u062a\u062c\u0645\u064a\u0639 \u0639\u064f\u0642\u062f \u0645\u062a\u0639\u062f\u062f\u0629 \u2014 \u0645\u062b\u0644 \u0639\u0642\u062f\u062a\u064a\u0646<br \/>\n\u062a\u062d\u062a\u0648\u064a \u0643\u0644\u064c\u0651 \u0645\u0646\u0647\u0645\u0627 \u0639\u0644\u0649 8 \u0648\u062d\u062f\u0627\u062a \u0645\u0639\u0627\u0644\u062c\u0629 \u0631\u0633\u0648\u0645\u064a\u0629 H200 \u0628\u0633\u0639\u0629 141 \u062c\u064a\u062c\u0627\u0628\u0627\u064a\u062a\u060c \u0623\u0648 \u0645\u0627 \u064a\u0639\u0627\u062f\u0644\u0647\u0645\u0627 \u2014 \u0648\u0628\u0627\u0644\u062a\u0627\u0644\u064a \u0641\u0625\u0646 \u0645\u0635\u0637\u0644\u062d \u00ab\u0645\u0641\u062a\u0648\u062d\u00bb \u0647\u0646\u0627 \u064a\u0639\u0646\u064a \u0642\u0627\u0628\u0644\u0627\u064b \u0644\u0644\u0645\u0631\u0627\u062c\u0639\u0629 \u0648\u0627\u0644\u0646\u0642\u0644 \u0628\u064a\u0646 \u0645\u0648\u0641\u0650\u0651\u0631\u064a \u0627\u0644\u062e\u062f\u0645\u0629\u060c \u0648\u0644\u064a\u0633<br \/>\n\u0642\u0627\u0628\u0644\u064b\u0627 \u0644\u0644\u062a\u0634\u063a\u064a\u0644 \u0641\u064a \u063a\u0631\u0641\u0629 \u0627\u0644\u062e\u0648\u0627\u062f\u0645 \u0627\u0644\u062e\u0627\u0635\u0629 \u0628\u0643. \u0648\u0644\u062f\u0649 \u0627\u0644\u063a\u0627\u0644\u0628\u064a\u0629 \u0627\u0644\u0639\u0638\u0645\u0649 \u0645\u0646 \u0627\u0644\u0645\u0633\u062a\u062e\u062f\u0645\u064a\u0646\u060c \u064a\u0638\u0644 Kimi K3 \u062e\u064a\u0627\u0631 \u0648\u0627\u062c\u0647\u0629 \u0628\u0631\u0645\u062c\u064a\u0629 (API) \u064a\u062a\u064a\u062d \u0641\u064a \u0627\u0644\u0648\u0642\u062a \u0646\u0641\u0633\u0647 \u0645\u0633\u0627\u0631 \u062e\u0631\u0648\u062c.<br \/>\n\u0645\u0639 \u0645\u0633\u0627\u0631 \u062e\u0631\u0648\u062c.<\/p>","protected":false},"excerpt":{"rendered":"<p>What is Kimi K3? Kimi K3 is Moonshot AI&#8217;s 2.8-trillion-parameter open frontier model \u2014 a mixture-of-experts that activates just 16 [\u2026]<\/p>\n","protected":false},"featured_media":2371,"template":"","meta":{"site-sidebar-layout":"default","site-content-layout":"","ast-site-content-layout":"default","site-content-style":"default","site-sidebar-style":"default","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"","ast-breadcrumbs-content":"","ast-featured-img":"","footer-sml-layout":"","ast-disable-related-posts":"","theme-transparent-header-meta":"","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"default","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"ast-content-background-meta":{"desktop":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"cm_developer":"Moonshot AI","cm_model_type":"LLM (MoE, reasoning, multimodal)","cm_modality":"Text, Vision \u2192 Text","cm_parameters":"2.8T total \/ 16 of 896 experts active (MoE)","cm_context_window":"1M","cm_max_output":"","cm_license":"Open weights (due 2026-07-27)","cm_open_weights":"yes","cm_release_date":"2026-07","cm_input_price":"3.00","cm_output_price":"15.00","cm_api_providers":"Moonshot (Kimi), OpenRouter","cm_vram_fp16":"","cm_vram_q4":"~1.4 TB","cm_min_gpu":"Multi-node cluster (e.g. 2\u00d7 8-GPU H200 141GB nodes)","cm_benchmarks":"","cm_official_url":"https:\/\/www.kimi.com\/blog\/kimi-k3"},"class_list":["post-1570","ai_model","type-ai_model","status-publish","has-post-thumbnail","hentry"],"_links":{"self":[{"href":"https:\/\/convly.ai\/ar\/wp-json\/wp\/v2\/ai_model\/1570","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/convly.ai\/ar\/wp-json\/wp\/v2\/ai_model"}],"about":[{"href":"https:\/\/convly.ai\/ar\/wp-json\/wp\/v2\/types\/ai_model"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/convly.ai\/ar\/wp-json\/wp\/v2\/media\/2371"}],"wp:attachment":[{"href":"https:\/\/convly.ai\/ar\/wp-json\/wp\/v2\/media?parent=1570"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}