{"id":1260,"date":"2026-06-23T14:45:03","date_gmt":"2026-06-23T14:45:03","guid":{"rendered":"https:\/\/convly.ai\/?p=1260"},"modified":"2026-06-23T14:45:03","modified_gmt":"2026-06-23T14:45:03","slug":"qwen3-235b-a22b-vs-glm-5-2","status":"publish","type":"post","link":"https:\/\/convly.ai\/es\/qwen3-235b-a22b-vs-glm-5-2\/","title":{"rendered":"Qwen3 235B-A22B frente a GLM 5.2: especificaciones, precios y cu\u00e1l elegir (2026)"},"content":{"rendered":"<p><strong>Qwen3 235B-A22B<\/strong> vs <strong>GLM 5.2<\/strong> \u2014 La versi\u00f3n abierta insignia de Alibaba frente a la de Zhipu. A continuaci\u00f3n se muestra una comparaci\u00f3n completa lado a lado: especificaciones, precios de la API, ventana de contexto, requisitos de hardware local y una recomendaci\u00f3n clara, 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\/qwen3-235b-a22b\/\">Qwen3 235B-A22B<\/a><\/th><th><a href=\"https:\/\/convly.ai\/es\/model\/glm-5-2\/\">GLM 5.2<\/a><\/th><\/tr><\/thead>\n    <tbody>\n          <tr><td class=\"cmp-spec\">Desarrollador<\/td><td class=\"\">Alibaba<\/td><td class=\"\">Zhipu AI<\/td><\/tr>\n          <tr><td class=\"cmp-spec\">Tipo<\/td><td class=\"\">LLM (MoE)<\/td><td class=\"\">LLM (para programaci\u00f3n\/agentes, MoE)<\/td><\/tr>\n          <tr><td class=\"cmp-spec\">Par\u00e1metros<\/td><td class=\"\">235 mil millones totales \/ 22 mil millones activos (MoE)<\/td><td class=\"\">744 mil millones totales \/ ~40 mil millones activos (MoE)<\/td><\/tr>\n          <tr><td class=\"cmp-spec\">Ventana de contexto<\/td><td class=\"\">128K<\/td><td class=\"cmp-win\">1 mill\u00f3n<\/td><\/tr>\n          <tr><td class=\"cmp-spec\">Modalidad<\/td><td class=\"\">Texto \u2192 Texto<\/td><td class=\"\">Texto \u2192 Texto<\/td><\/tr>\n          <tr><td class=\"cmp-spec\">Licencia<\/td><td class=\"\">Apache 2.0 (abierta)<\/td><td class=\"\">MIT (abierto)<\/td><\/tr>\n          <tr><td class=\"cmp-spec\">Pesos abiertos<\/td><td class=\"\">\u2705 S\u00ed<\/td><td class=\"\">\u2705 S\u00ed<\/td><\/tr>\n          <tr><td class=\"cmp-spec\">Precio de entrada ($\/mill\u00f3n)<\/td><td class=\"cmp-win\">$0.45<\/td><td class=\"\">$1.4<\/td><\/tr>\n          <tr><td class=\"cmp-spec\">Precio de salida ($\/mill\u00f3n)<\/td><td class=\"\">$1.8<\/td><td class=\"\">$4.4<\/td><\/tr>\n          <tr><td class=\"cmp-spec\">VRAM (4 bits)<\/td><td class=\"\">~140 GB<\/td><td class=\"\">~370 GB<\/td><\/tr>\n          <tr><td class=\"cmp-spec\">GPU m\u00ednima (local)<\/td><td class=\"\">Multi-GPU o Mac con 192 GB<\/td><td class=\"\">Servidor multi-GPU (p. ej., 5\u00d7 H100 de 80 GB)<\/td><\/tr>\n          <tr><td class=\"cmp-spec\">Lanzado<\/td><td class=\"\">2025<\/td><td class=\"\">2026-06<\/td><\/tr>\n        <\/tbody>\n  <\/table>\n\n    <div class=\"cmp-verdict\">\n    <h3>Diferencias clave<\/h3>\n    <ul><li><strong>Coste:<\/strong> Qwen3 235B-A22B es <strong>Un 173 % m\u00e1s barato<\/strong> than GLM 5.2 on a blended-token basis.<\/li><li><strong>Contexto:<\/strong> GLM 5.2 supera a su competidora en ventana de contexto (1 mill\u00f3n frente a 128 K), lo que la hace m\u00e1s adecuada para documentos largos, grandes bases de c\u00f3digo y entradas extensas de RAG.<\/li><li><strong>Apertura:<\/strong> ambos tienen pesos abiertos, por lo que cualquiera puede alojarse localmente o ajustarse finamente. Compara sus necesidades de VRAM arriba para ver qu\u00e9 GPU puedes utilizar.<\/li><li><strong>Ejecute Qwen3 235B-A22B localmente:<\/strong> ~~140 GB a 4 bits (m\u00ednimo para varias GPU o Mac con 192 GB).<\/li><li><strong>Ejecute GLM 5.2 localmente:<\/strong> ~~370 GB a 4 bits (servidor multi-GPU m\u00ednimo, por ejemplo, 5\u00d7 H100 de 80 GB).<\/li><\/ul>\n  <\/div>\n\n    <div class=\"cmp-rec\">\n    <h3>\u00bfCu\u00e1l deber\u00edas elegir?<\/h3>\n    <p><strong>Elija Qwen3 235B-A22B<\/strong> si buscas un menor coste por token en cargas de trabajo de alto volumen.<\/p>\n    <p><strong>Elija GLM 5.2<\/strong> si necesitas una ventana de contexto m\u00e1s amplia.<\/p>\n    <p class=\"cmp-tools\">\u2192 Estima los costes reales en la <a href=\"\/es\/ai-api-cost-calculator\/\">Calculadora de costes de API<\/a> \u00b7 verifica el hardware local en la <a href=\"\/es\/llm-vram-calculator\/\">Calculadora de VRAM<\/a> \u00b7 explora todos los <a href=\"\/es\/models\/\">m\u00e1s de 30 modelos<\/a>.<\/p>\n  <\/div>\n<\/div>\n\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 mantienen actualizados. Compara cualquiera de estos modelos con otros, o estima tu gasto mensual con las calculadoras gratuitas anteriores.<\/p>","protected":false},"excerpt":{"rendered":"<p>Qwen3 235B-A22B vs GLM 5.2 compared: specs, API pricing, context window, VRAM and a clear verdict on which model to choose in 2026.<\/p>","protected":false},"author":1,"featured_media":0,"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":[395,764,796],"class_list":["post-1260","post","type-post","status-publish","format-standard","hentry","category-ai-comparisons","tag-ai-model-comparison","tag-glm-5-2","tag-qwen3-235b-a22b"],"_links":{"self":[{"href":"https:\/\/convly.ai\/es\/wp-json\/wp\/v2\/posts\/1260","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=1260"}],"version-history":[{"count":0,"href":"https:\/\/convly.ai\/es\/wp-json\/wp\/v2\/posts\/1260\/revisions"}],"wp:attachment":[{"href":"https:\/\/convly.ai\/es\/wp-json\/wp\/v2\/media?parent=1260"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/convly.ai\/es\/wp-json\/wp\/v2\/categories?post=1260"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/convly.ai\/es\/wp-json\/wp\/v2\/tags?post=1260"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}