{"id":1540,"date":"2026-07-11T17:46:27","date_gmt":"2026-07-11T17:46:27","guid":{"rendered":"https:\/\/convly.ai\/model\/gemini-2-5-pro\/"},"modified":"2026-07-11T17:46:27","modified_gmt":"2026-07-11T17:46:27","slug":"gemini-2-5-pro","status":"publish","type":"ai_model","link":"https:\/\/convly.ai\/es\/model\/gemini-2-5-pro\/","title":{"rendered":"Gemini 2.5 Pro"},"content":{"rendered":"

Gemini 2.5 Pro<\/strong> es el modelo insignia de \u00abpensamiento\u00bb de Google DeepMind de la generaci\u00f3n 2.5, dise\u00f1ado para razonar sobre los problemas antes de responder. Se present\u00f3 como una versi\u00f3n preliminar experimental el 25 de marzo de 2025 y alcanz\u00f3 su disponibilidad general el 17 de junio de 2025, consolid\u00e1ndose r\u00e1pidamente como l\u00edder de referencia en programaci\u00f3n, matem\u00e1ticas y razonamiento con contexto largo.<\/p>\n

Su caracter\u00edstica principal es una ventana de contexto nativa de 1 048 576 tokens (~1 mill\u00f3n)<\/strong> combinada con entradas completamente multimodales \u2014texto, im\u00e1genes, audio, v\u00eddeo y PDF\u2014 y salidas de texto de hasta 65 536 tokens. Los presupuestos adaptativos de \u00abpensamiento\u00bb permiten a los desarrolladores intercambiar latencia y costo por un razonamiento m\u00e1s profundo. El modelo se ofrece a trav\u00e9s de Google AI Studio, la API de Gemini y Vertex AI, adem\u00e1s de acceso de terceros mediante OpenRouter.<\/p>\n

Los precios est\u00e1n escalonados seg\u00fan el tama\u00f1o del prompt: 1,25 USD por cada mill\u00f3n de tokens de entrada hasta 200 K, aumentando a 2,50 USD por encima de ese umbral, mientras que los tokens de salida cuestan 10 y 15 USD respectivamente.<\/p>\n

Veredicto:<\/strong> Gemini 2.5 Pro sigue siendo una de las mejores opciones en relaci\u00f3n calidad-precio entre los modelos de razonamiento de vanguardia: un aut\u00e9ntico contexto multimodal de 1 mill\u00f3n de tokens a un precio intermedio. Es un modelo de pesos cerrados y disponible \u00fanicamente mediante API, pero resulta dif\u00edcil de superar para an\u00e1lisis de documentos largos, programaci\u00f3n basada en agentes y cargas de trabajo con m\u00faltiples formatos multimedia. Los modelos m\u00e1s recientes de la serie Gemini 3.x lo han sustituido, aunque Gemini 2.5 Pro sigue ampliamente desplegado y bien soportado.<\/p>","protected":false},"excerpt":{"rendered":"

Gemini 2.5 Pro is Google DeepMind’s flagship “thinking” model from the 2.5 generation, built to reason through problems before it […]<\/p>\n","protected":false},"featured_media":0,"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":"Google (Google DeepMind)","cm_model_type":"LLM (frontier reasoning \/ thinking)","cm_modality":"Text, Image, Audio, Video, PDF \u2192 Text","cm_parameters":"Undisclosed","cm_context_window":"1M (1,048,576 tokens)","cm_max_output":"64K (65,536 tokens)","cm_license":"Proprietary","cm_open_weights":"no","cm_release_date":"March 2025 (preview); June 17, 2025 (GA)","cm_input_price":"1.25","cm_output_price":"10","cm_api_providers":"Google AI Studio (Gemini API), Vertex AI, OpenRouter","cm_vram_fp16":"","cm_vram_q4":"","cm_min_gpu":"","cm_benchmarks":"","cm_official_url":"https:\/\/ai.google.dev\/gemini-api\/docs\/models#gemini-2.5-pro"},"class_list":["post-1540","ai_model","type-ai_model","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/convly.ai\/es\/wp-json\/wp\/v2\/ai_model\/1540","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:attachment":[{"href":"https:\/\/convly.ai\/es\/wp-json\/wp\/v2\/media?parent=1540"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}