Kimi K3 es el modelo abierto de vanguardia de Moonshot AI, con 2,8 billones de par\u00e1metros \u2014una mezcla de expertos\u2014
\nque activa solo 16 de sus 896 expertos por token, con una ventana de contexto de 1 mill\u00f3n de tokens, visi\u00f3n nativa y
\nrazonamiento continuo. Obtiene una puntuaci\u00f3n de 57 en el \u00cdndice de Inteligencia Artificial Analysis,
\nsuperando ligeramente a Claude Opus 4.8 (56) y quedando solo por detr\u00e1s de GPT-5.6 Sol (59) y Claude Fable 5 (60),
\nel mejor resultado registrado hasta la fecha para un modelo de pesos abiertos. Los pesos se publicar\u00e1n el 27 de julio de 2026.<\/p>\n
La relevancia radica en la brecha, o m\u00e1s bien en su ausencia. Un modelo de pesos abiertos que se sit\u00faa
\na tan solo tres puntos del mejor modelo cerrado del mercado elimina el \u00faltimo argumento c\u00f3modo
\npara pagar precios de vanguardia \u00fanicamente por motivos de capacidad. Con un costo combinado de 3 $\/mill\u00f3n de tokens de entrada y 15 $\/mill\u00f3n de tokens de salida, Kimi K3 cuesta la mitad que GPT-5.5
\nmillones de tokens. K3 tambi\u00e9n tiene la mitad del costo combinado de GPT-5.5, aunque obtiene una puntuaci\u00f3n m\u00e1s alta. La trampa es
\nen su propio centro de datos. Para casi todos los usuarios, Kimi K3 representa una decisi\u00f3n sobre el uso de una API que, de forma adicional, ofrece una v\u00eda de salida.
\nejecutables en su propio centro de datos. Para casi todos los usuarios, Kimi K3 representa una decisi\u00f3n sobre el uso de una API que, de forma adicional, ofrece una v\u00eda de salida.
\nejecutables en su propio centro de datos. Para casi todos los usuarios, Kimi K3 representa una decisi\u00f3n sobre el uso de una API que, de forma adicional, ofrece una v\u00eda de salida.
\nejecutables en su propio centro de datos. Para casi todos los usuarios, Kimi K3 representa una decisi\u00f3n sobre el uso de una API que, de forma adicional, ofrece una v\u00eda de salida.<\/p>","protected":false},"excerpt":{"rendered":"
What is Kimi K3? Kimi K3 is Moonshot AI’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\/es\/wp-json\/wp\/v2\/ai_model\/1570","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/convly.ai\/es\/wp-json\/wp\/v2\/ai_model"}],"about":[{"href":"https:\/\/convly.ai\/es\/wp-json\/wp\/v2\/types\/ai_model"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/convly.ai\/es\/wp-json\/wp\/v2\/media\/2371"}],"wp:attachment":[{"href":"https:\/\/convly.ai\/es\/wp-json\/wp\/v2\/media?parent=1570"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}