{"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\/pt\/model\/gemini-2-5-pro\/","title":{"rendered":"Gemini 2.5 Pro"},"content":{"rendered":"<p><strong>Gemini 2.5 Pro<\/strong> \u00e9 o modelo principal de 'racioc\u00ednio' da Google DeepMind da gera\u00e7\u00e3o 2.5, projetado para analisar problemas antes de fornecer respostas. Ele estreou como uma vers\u00e3o experimental em 25 de mar\u00e7o de 2025 e atingiu a disponibilidade geral em 17 de junho de 2025, consolidando-se rapidamente como l\u00edder de refer\u00eancia em programa\u00e7\u00e3o, matem\u00e1tica e racioc\u00ednio com contexto longo.<\/p>\n<p>Seu recurso de destaque \u00e9 uma janela de contexto nativa <strong>de 1.048.576 tokens (~1 milh\u00e3o)<\/strong> associada \u00e0 entrada totalmente multimodal \u2014 texto, imagens, \u00e1udio, v\u00eddeo e PDFs \u2014 e sa\u00edda em texto com at\u00e9 65.536 tokens. Or\u00e7amentos adapt\u00e1veis de 'racioc\u00ednio' permitem que os desenvolvedores troquem lat\u00eancia e custo por um racioc\u00ednio mais profundo. O modelo \u00e9 disponibilizado por meio do Google AI Studio, da API Gemini e do Vertex AI, com acesso de terceiros via OpenRouter.<\/p>\n<p>A precifica\u00e7\u00e3o \u00e9 escalonada conforme o tamanho do prompt: US$ 1,25 por milh\u00e3o de tokens de entrada at\u00e9 200K, subindo para US$ 2,50 acima desse limite, com custos de sa\u00edda de US$ 10 e US$ 15, respectivamente.<\/p>\n<p><strong>Veredito:<\/strong> O Gemini 2.5 Pro continua sendo uma das melhores op\u00e7\u00f5es em termos de custo-benef\u00edcio entre os modelos de racioc\u00ednio de ponta \u2014 oferecendo, de fato, um contexto multimodal de 1 milh\u00e3o de tokens a um pre\u00e7o intermedi\u00e1rio. Trata-se de um modelo com pesos fechados e acess\u00edvel apenas por API, mas \u00e9 dif\u00edcil de superar em tarefas como an\u00e1lise de documentos extensos, programa\u00e7\u00e3o aut\u00f4noma e cargas de trabalho com m\u00faltiplos formatos de m\u00eddia. Modelos mais recentes da s\u00e9rie Gemini 3.x agora o substituem, mas o 2.5 Pro permanece amplamente implantado e bem suportado.<\/p>","protected":false},"excerpt":{"rendered":"<p>Gemini 2.5 Pro is Google DeepMind&#8217;s flagship &#8220;thinking&#8221; model from the 2.5 generation, built to reason through problems before it [&hellip;]<\/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\/pt\/wp-json\/wp\/v2\/ai_model\/1540","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/convly.ai\/pt\/wp-json\/wp\/v2\/ai_model"}],"about":[{"href":"https:\/\/convly.ai\/pt\/wp-json\/wp\/v2\/types\/ai_model"}],"wp:attachment":[{"href":"https:\/\/convly.ai\/pt\/wp-json\/wp\/v2\/media?parent=1540"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}