{"id":1574,"date":"2026-07-17T00:59:30","date_gmt":"2026-07-17T00:59:30","guid":{"rendered":"https:\/\/convly.ai\/?p=1574"},"modified":"2026-07-17T00:59:30","modified_gmt":"2026-07-17T00:59:30","slug":"kimi-k3-vs-claude-opus-4-8","status":"publish","type":"post","link":"https:\/\/convly.ai\/es\/kimi-k3-vs-claude-opus-4-8\/","title":{"rendered":"Kimi K3 frente a Claude Opus 4.8 (2026): especificaciones, precios y veredicto"},"content":{"rendered":"<p><strong>Kimi K3<\/strong> vs <strong>Claude Opus 4.8<\/strong> \u2014 el primer enfrentamiento en el que un modelo con pesos abiertos supera a una plataforma l\u00edder occidental. K3 obtiene 57 puntos en el \u00cdndice de Inteligencia Artificial de Artificial Analysis, frente a los 56 de Opus 4.8, con un precio de lista aproximadamente un 40 % inferior. A continuaci\u00f3n se muestra la comparaci\u00f3n detallada: especificaciones, precios de API, ventana de contexto, requisitos de hardware local y una recomendaci\u00f3n clara y basada en datos sobre cu\u00e1l elegir.<\/p>\n<div class=\"cmp\">\n  <table class=\"cmp-table\">\n    <thead><tr><th>Especificaciones<\/th><th><a href=\"https:\/\/convly.ai\/es\/model\/kimi-k3\/\">Kimi K3<\/a><\/th><th><a href=\"https:\/\/convly.ai\/es\/model\/claude-opus-4-8\/\">Claude Opus 4.8<\/a><\/th><\/tr><\/thead>\n    <tbody>\n          <tr><td class=\"cmp-spec\">Desarrollador<\/td><td class=\"\">Moonshot AI<\/td><td class=\"\">Anthropic<\/td><\/tr>\n          <tr><td class=\"cmp-spec\">Tipo<\/td><td class=\"\">LLM (mixture of experts, razonamiento, multimodal)<\/td><td class=\"\">LLM (razonamiento)<\/td><\/tr>\n          <tr><td class=\"cmp-spec\">Par\u00e1metros<\/td><td class=\"\">2,8 billones totales \/ 16 de 896 expertos activos (MoE)<\/td><td class=\"\">No revelado<\/td><\/tr>\n          <tr><td class=\"cmp-spec\">Ventana de contexto<\/td><td class=\"\">1 mill\u00f3n<\/td><td class=\"\">1 mill\u00f3n<\/td><\/tr>\n          <tr><td class=\"cmp-spec\">Modalidad<\/td><td class=\"\">Texto y visi\u00f3n \u2192 texto<\/td><td class=\"\">Texto y visi\u00f3n \u2192 texto<\/td><\/tr>\n          <tr><td class=\"cmp-spec\">Licencia<\/td><td class=\"\">Pesos abiertos (previstos para el 27-07-2026)<\/td><td class=\"\">Propietario<\/td><\/tr>\n          <tr><td class=\"cmp-spec\">Pesos abiertos<\/td><td class=\"\">\u2705 S\u00ed<\/td><td class=\"\">\u274c No<\/td><\/tr>\n          <tr><td class=\"cmp-spec\">Precio de entrada (USD\/mill\u00f3n)<\/td><td class=\"cmp-win\">$3.00<\/td><td class=\"\">$5.00<\/td><\/tr>\n          <tr><td class=\"cmp-spec\">Precio de salida (USD\/mill\u00f3n)<\/td><td class=\"\">$15.00<\/td><td class=\"\">$25.00<\/td><\/tr>\n          <tr><td class=\"cmp-spec\">VRAM (4 bits)<\/td><td class=\"\">~1,4 TB<\/td><td class=\"\">\u2014<\/td><\/tr>\n          <tr><td class=\"cmp-spec\">GPU m\u00ednima (local)<\/td><td class=\"\">Cl\u00faster multinodo (p. ej., 2 \u00d7 nodos H200 de 8 GPU y 141 GB)<\/td><td class=\"\">\u2014<\/td><\/tr>\n          <tr><td class=\"cmp-spec\">Lanzado<\/td><td class=\"\">2026-07<\/td><td class=\"\">2026<\/td><\/tr>\n        <\/tbody>\n  <\/table>\n\n    <div class=\"cmp-verdict\">\n    <h3>Diferencias clave<\/h3>\n    <ul><li><strong>Coste:<\/strong> Kimi K3 is <strong>un 67 % m\u00e1s barato<\/strong> que Claude Opus 4.8 en una base combinada por token.<\/li><li><strong>Grado de apertura:<\/strong> Kimi K3 es de c\u00f3digo abierto (se puede alojar de forma privada y personalizar); Claude Opus 4.8 es propietario (solo mediante API, pero completamente gestionado).<\/li><li><strong>Ejecute Kimi K3 localmente:<\/strong> ~~1,4 TB a 4 bits (m\u00ednimo en cl\u00faster multinodo, por ejemplo, 2 \u00d7 nodos H200 de 8 GPU y 141 GB).<\/li><\/ul>\n  <\/div>\n\n    <div class=\"cmp-rec\">\n    <h3>\u00bfCu\u00e1l deber\u00edas elegir?<\/h3>\n    <p><strong>Elija Kimi K3<\/strong> si desea un menor coste por token para cargas de trabajo de alto volumen, o si desea alojarlo localmente, ajustarlo finamente o mantener sus datos completamente privados.<\/p>\n    <p><strong>Elija Claude Opus 4.8<\/strong> si prefiere una API totalmente gestionada sin infraestructura que administrar.<\/p>\n    <p class=\"cmp-tools\">\u2192 Estime los costes reales en la <a href=\"\/es\/ai-api-cost-calculator\/\">calculadora de costes de API<\/a> \u00b7 verifique el hardware local en la <a href=\"\/es\/llm-vram-calculator\/\">Calculadora de VRAM<\/a> \u00b7 explore todos los <a href=\"\/es\/models\/\">30+ modelos<\/a>.<\/p>\n  <\/div>\n<\/div>\n\n<h2>La conclusi\u00f3n<\/h2>\n<p><strong>Elija Kimi K3<\/strong> si ejecuta cargas de trabajo basadas en agentes o con contextos largos y desea la mejor relaci\u00f3n inteligencia\/precio en la vanguardia: ofrece aproximadamente 6,3 puntos de inteligencia por d\u00f3lar combinado, frente a 3,7 para Opus 4.8 \u2014 es decir, <strong>un valor 1,7 veces superior<\/strong> \u2014 con un contexto de 1 mill\u00f3n de tokens y pesos disponibles el 27 de julio de 2026 para equipos que requieren alojamiento interno. Sus puntuaciones en BrowseComp (91,2 %) y Terminal-Bench 2.1 (88,3 %) son las m\u00e1s altas publicadas al momento del lanzamiento.<\/p>\n<p><strong>Elija Claude Opus 4.8<\/strong> si necesita un modelo probado y respaldado empresarialmente, con herramientas maduras, garant\u00edas de seguridad m\u00e1s robustas y comportamiento predecible en producci\u00f3n. La diferencia de un punto en el \u00edndice est\u00e1 dentro del margen de ruido; la brecha del ecosistema no lo est\u00e1.<\/p>\n<p><strong>Y descarte ambos modelos<\/strong> si su carga de trabajo consiste \u00fanicamente en conversaciones habituales, res\u00famenes o clasificaciones. Ambos tienen precios de vanguardia. <a href=\"\/es\/glm-5-2-explained-2026\/\">GLM 5.2<\/a> returns 2.8\u00d7 more capability per dollar than K3, and DeepSeek V4-Flash around 30\u00d7 \u2014 see the full ranking in our <a href=\"\/es\/ai-price-performance-index-2026\/\">\u00cdndice de relaci\u00f3n precio-rendimiento de IA 2026<\/a>. El contexto completo sobre esta novedad aparece en nuestro <a href=\"\/es\/kimi-k3-explained-2026\/\">art\u00edculo explicativo sobre Kimi K3<\/a>.<\/p>\n<p>Todas las especificaciones y precios se obtienen en tiempo real de nuestra <a href=\"\/es\/models\/\">Base de datos de modelos de IA<\/a> y se mantiene actualizado. Compare cualquiera de estos modelos con otros, o estime sus gastos mensuales con la herramienta gratuita <a href=\"\/es\/ai-api-cost-calculator\/\">calculadora de costes de API<\/a>.<\/p>","protected":false},"excerpt":{"rendered":"<p>Kimi K3 vs Claude Opus 4.8 compared: an open 2.8T model that outscores Opus at 40% lower cost. Specs, pricing, VRAM and a clear verdict.<\/p>","protected":false},"author":1,"featured_media":1575,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","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":""}},"footnotes":""},"categories":[246],"tags":[920,791,919,619,766],"class_list":["post-1574","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-ai-comparisons","tag-ai-comparisons","tag-claude-opus-4-8","tag-kimi-k3","tag-moonshot-ai","tag-open-weights"],"_links":{"self":[{"href":"https:\/\/convly.ai\/es\/wp-json\/wp\/v2\/posts\/1574","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/convly.ai\/es\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/convly.ai\/es\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/convly.ai\/es\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/convly.ai\/es\/wp-json\/wp\/v2\/comments?post=1574"}],"version-history":[{"count":1,"href":"https:\/\/convly.ai\/es\/wp-json\/wp\/v2\/posts\/1574\/revisions"}],"predecessor-version":[{"id":1576,"href":"https:\/\/convly.ai\/es\/wp-json\/wp\/v2\/posts\/1574\/revisions\/1576"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/convly.ai\/es\/wp-json\/wp\/v2\/media\/1575"}],"wp:attachment":[{"href":"https:\/\/convly.ai\/es\/wp-json\/wp\/v2\/media?parent=1574"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/convly.ai\/es\/wp-json\/wp\/v2\/categories?post=1574"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/convly.ai\/es\/wp-json\/wp\/v2\/tags?post=1574"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}