{"id":1644,"date":"2026-11-09T10:00:00","date_gmt":"2026-11-09T10:00:00","guid":{"rendered":"https:\/\/chatx.ai\/blog\/gemini-4-argon-2\/"},"modified":"2026-11-10T18:00:47","modified_gmt":"2026-11-10T18:00:47","slug":"gemini-4-argon","status":"publish","type":"post","link":"https:\/\/chatx.ai\/blog\/pt-br\/gemini-4-argon\/","title":{"rendered":"Gemini 4 Argon chegou ao ChatX"},"content":{"rendered":"<p class=\"intro\">Em 13 de outubro de 2026, o Google apresentou o Gemini 4 Argon, o primeiro modelo da nova fam\u00edlia Gemini 4. No ChatX, o Argon agora \u00e9 o modelo Gemini mais avan\u00e7ado. Ao lado dele continuam o Gemini 3.8 Flash, como modelo para todo tipo de tarefa, e o Gemini 3.5 Flash Lite, como op\u00e7\u00e3o econ\u00f4mica. Aqui voc\u00ea v\u00ea onde o Argon est\u00e1 na frente, onde n\u00e3o est\u00e1 e para quais tarefas cada um dos tr\u00eas modelos vale a pena.<\/p>\n<nav class=\"toc\">\n<ul>\n<li><a href=\"#argon\">O que define o Gemini 4 Argon<\/a><\/li>\n<li><a href=\"#benchmarks\">Benchmarks: muitas vezes na frente, mas n\u00e3o em tudo<\/a><\/li>\n<li><a href=\"#auswahl\">Argon, 3.8 Flash ou Flash Lite?<\/a><\/li>\n<li><a href=\"#test\">Nosso teste: tr\u00eas tarefas, tr\u00eas modelos<\/a><\/li>\n<li><a href=\"#kosten\">Quanto custa uma resposta no ChatX<\/a><\/li>\n<li><a href=\"#tipps\">Dicas para come\u00e7ar<\/a><\/li>\n<\/ul>\n<\/nav>\n<h2 id=\"argon\">O que define o Gemini 4 Argon<\/h2>\n<p>No <a href=\"https:\/\/blog.google\/innovation-and-ai\/models-and-research\/gemini-models\/introducing-gemini-4-argon\/\" target=\"_blank\" rel=\"noopener\">an\u00fancio<\/a>, o Google descreve o Argon como um modelo para as tarefas mais dif\u00edceis (\u201cbuilt to solve your hardest problems\u201d). Isso quer dizer an\u00e1lises longas, c\u00f3digo exigente, matem\u00e1tica e quest\u00f5es de ci\u00eancias naturais.<\/p>\n<p>Tr\u00eas caracter\u00edsticas pesam no dia a dia:<\/p>\n<ul>\n<li><strong>Contexto muito longo:<\/strong> entrada e sa\u00edda podem somar at\u00e9 1 milh\u00e3o de tokens. Isso d\u00e1 para documentos muito longos ou hist\u00f3ricos de chat extensos.<\/li>\n<li><strong>Conhecimento atualizado:<\/strong> segundo a <a href=\"https:\/\/deepmind.google\/models\/model-cards\/gemini-4-argon\/\" target=\"_blank\" rel=\"noopener\">ficha do modelo<\/a>, o conhecimento vai at\u00e9 mar\u00e7o de 2026. Para tudo o que \u00e9 mais recente, voc\u00ea ativa a busca na web no ChatX.<\/li>\n<li><strong>Imagens como entrada:<\/strong> voc\u00ea pode enviar fotos, capturas de tela ou diagramas e fazer perguntas sobre eles.<\/li>\n<\/ul>\n<p>O Argon raciocina antes de cada resposta. No ChatX, voc\u00ea controla a profundidade desse racioc\u00ednio com os n\u00edveis <strong>Baixo<\/strong>, <strong>M\u00e9dio<\/strong> e <strong>Alto<\/strong>. Este modelo n\u00e3o tem o n\u00edvel \u201cDesativado\u201d. O ChatX n\u00e3o mostra as etapas de racioc\u00ednio em si, mas elas entram na cobran\u00e7a.<\/p>\n<p>No fim de outubro, o Google j\u00e1 anunciou um modelo ainda mais potente, o Gemini 4 Carbon. Por enquanto, ele est\u00e1 aberto apenas a parceiros de seguran\u00e7a selecionados e, por isso, n\u00e3o entra em pauta no ChatX.<\/p>\n<h2 id=\"benchmarks\">Benchmarks: muitas vezes na frente, mas n\u00e3o em tudo<\/h2>\n<p>Os n\u00fameros v\u00eam da ficha do modelo publicada pelo Google em outubro de 2026. Para comparar, colocamos ao lado tr\u00eas modelos que voc\u00ea tamb\u00e9m conhece do ChatX.<\/p>\n<table style=\"width: 100%;border-collapse: collapse;text-align: left\" border=\"1\" cellpadding=\"10\">\n<thead style=\"background-color: #f0f0f0\">\n<tr>\n<th scope=\"col\" style=\"text-align: left\">Teste<\/th>\n<th scope=\"col\" style=\"text-align: left\">Gemini 4 Argon<\/th>\n<th scope=\"col\" style=\"text-align: left\">GPT-6 Astra<\/th>\n<th scope=\"col\" style=\"text-align: left\">Claude Fable 5.1<\/th>\n<th scope=\"col\" style=\"text-align: left\">Claude Opus 5.5<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td style=\"text-align: left\">Trabalho intelectual (Vals Index)<\/td>\n<td style=\"text-align: left\">68,9%<\/td>\n<td style=\"text-align: left\">63,1%<\/td>\n<td style=\"text-align: left\">65,8%<\/td>\n<td style=\"text-align: left\">67,0%<\/td>\n<\/tr>\n<tr>\n<td style=\"text-align: left\">Programa\u00e7\u00e3o (DeepSWE v1.1)<\/td>\n<td style=\"text-align: left\">77,9%<\/td>\n<td style=\"text-align: left\">74,1%<\/td>\n<td style=\"text-align: left\">67,4%<\/td>\n<td style=\"text-align: left\">74,2%<\/td>\n<\/tr>\n<tr>\n<td style=\"text-align: left\">Textos muito longos (GraphWalks, 256k a 1M)<\/td>\n<td style=\"text-align: left\">84,2%<\/td>\n<td style=\"text-align: left\">71,8%<\/td>\n<td style=\"text-align: left\">65,0%<\/td>\n<td style=\"text-align: left\">66,8%<\/td>\n<\/tr>\n<tr>\n<td style=\"text-align: left\">Compreens\u00e3o de v\u00eddeos longos (LVBench)<\/td>\n<td style=\"text-align: left\">91,7%<\/td>\n<td style=\"text-align: left\">87,5%<\/td>\n<td style=\"text-align: left\">79,7%<\/td>\n<td style=\"text-align: left\">83,7%<\/td>\n<\/tr>\n<tr>\n<td style=\"text-align: left\">Programa\u00e7\u00e3o (FrontierSWE v2)<\/td>\n<td style=\"text-align: left\">55,0%<\/td>\n<td style=\"text-align: left\">65,5%<\/td>\n<td style=\"text-align: left\">56,3%<\/td>\n<td style=\"text-align: left\">62,3%<\/td>\n<\/tr>\n<tr>\n<td style=\"text-align: left\">Trabalho no terminal (Terminal-bench 4.0)<\/td>\n<td style=\"text-align: left\">57,4%<\/td>\n<td style=\"text-align: left\">58,2%<\/td>\n<td style=\"text-align: left\">57,9%<\/td>\n<td style=\"text-align: left\">66,4%<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>A vantagem mais clara aparece nos textos muito longos: com entradas entre 256.000 e 1 milh\u00e3o de tokens, o Argon fica mais de doze pontos \u00e0 frente do segundo colocado. Isso indica que o Argon lida bem com um manual volumoso ou com muitos arquivos de uma vez.<\/p>\n<p>Em programa\u00e7\u00e3o, o quadro \u00e9 misto. No DeepSWE o Argon lidera, mas no FrontierSWE v2 e no Terminal-bench 4.0 quem est\u00e1 na frente s\u00e3o o GPT-6 Astra e o Claude Opus 5.5. Vale saber mais duas coisas: os n\u00fameros foram publicados pelo pr\u00f3prio Google. E o Claude Fable 5.2, dispon\u00edvel desde 9 de novembro, ainda n\u00e3o aparece na tabela.<\/p>\n<h2 id=\"auswahl\">Argon, 3.8 Flash ou Flash Lite?<\/h2>\n<p>O ChatX agora oferece tr\u00eas modelos Gemini. Eles se diferenciam principalmente pela profundidade e pelo custo.<\/p>\n<table style=\"width: 100%;border-collapse: collapse;text-align: left\" border=\"1\" cellpadding=\"10\">\n<thead style=\"background-color: #f0f0f0\">\n<tr>\n<th scope=\"col\" style=\"text-align: left\">Modelo<\/th>\n<th scope=\"col\" style=\"text-align: left\">Pensado para<\/th>\n<th scope=\"col\" style=\"text-align: left\">Acesso<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td style=\"text-align: left\">Gemini 4 Argon<\/td>\n<td style=\"text-align: left\">tarefas pesadas, documentos longos, c\u00f3digo dif\u00edcil<\/td>\n<td style=\"text-align: left\">conta gratuita<\/td>\n<\/tr>\n<tr>\n<td style=\"text-align: left\">Gemini 3.8 Flash<\/td>\n<td style=\"text-align: left\">dia a dia: textos, an\u00e1lises, tradu\u00e7\u00f5es, c\u00f3digo<\/td>\n<td style=\"text-align: left\">conta gratuita<\/td>\n<\/tr>\n<tr>\n<td style=\"text-align: left\">Gemini 3.5 Flash Lite<\/td>\n<td style=\"text-align: left\">perguntas r\u00e1pidas e simples e textos curtos<\/td>\n<td style=\"text-align: left\">sem cadastro<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>O Gemini 3.8 Flash est\u00e1 no mercado desde 2 de setembro de 2026. O Google o chama de seu modelo mais inteligente para o trabalho pesado do dia a dia (\u201cour most intelligent workhorse model\u201d). Para a maioria das perguntas, ele \u00e9 a escolha sensata. O Flash Lite voc\u00ea pode testar na hora, sem se cadastrar.<\/p>\n<h2 id=\"test\">Nosso teste: tr\u00eas tarefas, tr\u00eas modelos<\/h2>\n<p>Demos as mesmas tarefas aos tr\u00eas modelos Gemini: um problema de matem\u00e1tica com dois trens, um e-mail curto para o propriet\u00e1rio do im\u00f3vel alugado e uma fun\u00e7\u00e3o em PHP para validar IBAN. Cada modelo rodou uma vez na configura\u00e7\u00e3o padr\u00e3o, ou seja, o Argon e o 3.8 Flash no n\u00edvel de racioc\u00ednio Baixo.<\/p>\n<table style=\"width: 100%;border-collapse: collapse;text-align: left\" border=\"1\" cellpadding=\"10\">\n<thead style=\"background-color: #f0f0f0\">\n<tr>\n<th scope=\"col\" style=\"text-align: left\">Tarefa<\/th>\n<th scope=\"col\" style=\"text-align: left\">Gemini 4 Argon<\/th>\n<th scope=\"col\" style=\"text-align: left\">Gemini 3.8 Flash<\/th>\n<th scope=\"col\" style=\"text-align: left\">Gemini 3.5 Flash Lite<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td style=\"text-align: left\">Problema de matem\u00e1tica<\/td>\n<td style=\"text-align: left\">13,4 segundos, cerca de 1.500 tokens<\/td>\n<td style=\"text-align: left\">9,7 segundos, cerca de 1.000 tokens<\/td>\n<td style=\"text-align: left\">2,1 segundos, cerca de 370 tokens<\/td>\n<\/tr>\n<tr>\n<td style=\"text-align: left\">E-mail para o propriet\u00e1rio<\/td>\n<td style=\"text-align: left\">7,9 segundos, cerca de 450 tokens<\/td>\n<td style=\"text-align: left\">3,4 segundos, cerca de 170 tokens<\/td>\n<td style=\"text-align: left\">1,2 segundo, cerca de 100 tokens<\/td>\n<\/tr>\n<tr>\n<td style=\"text-align: left\">Valida\u00e7\u00e3o de IBAN em PHP<\/td>\n<td style=\"text-align: left\">9,7 segundos, cerca de 1.300 tokens<\/td>\n<td style=\"text-align: left\">4,7 segundos, cerca de 440 tokens<\/td>\n<td style=\"text-align: left\">1,4 segundo, cerca de 220 tokens<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>No problema de matem\u00e1tica, o Argon e o 3.8 Flash chegaram ao resultado certo: os trens se cruzam pouco depois das 10h10. O Flash Lite errou a conta e respondeu 10h29. O Argon ainda conferiu o pr\u00f3prio resultado com uma prova real. O e-mail ficou aproveit\u00e1vel nos tr\u00eas modelos. Para tarefas assim, basta o Flash Lite, que terminou em pouco mais de um segundo.<\/p>\n<p>O teste \u00e9 uma amostra, com uma \u00fanica rodada por tarefa. Mesmo assim, mostra o padr\u00e3o: o Argon demora mais e custa mais, mas entregou a resposta mais completa no problema de matem\u00e1tica, que era o mais complicado.<\/p>\n<h2 id=\"kosten\">Quanto custa uma resposta no ChatX<\/h2>\n<p>O ChatX cobra de acordo com o custo real no provedor. No nosso teste, uma resposta do Argon custou entre cerca de 450 e 1.500 tokens; no 3.8 Flash foram cerca de 170 a 1.000 tokens e, no Flash Lite, cerca de 100 a 370 tokens. Ou seja, dependendo da tarefa, o Argon custa de uma vez e meia a tr\u00eas vezes o que custa o 3.8 Flash. Em um chat mais longo, o hist\u00f3rico anterior entra como entrada. Nos n\u00edveis M\u00e9dio e Alto, o modelo raciocina por mais tempo, e a\u00ed o consumo sobe bastante.<\/p>\n<p>Importante para se planejar: o Google oferece o Argon com pre\u00e7o de lan\u00e7amento at\u00e9 30 de novembro de 2026. A partir de 1\u00ba de dezembro, o Google dobra o pre\u00e7o. Com isso, o ChatX tamb\u00e9m passa a descontar o dobro do saldo, o que no nosso teste daria cerca de 900 a 3.000 tokens por resposta. No Gemini 3.8 Flash, o pre\u00e7o de lan\u00e7amento termina na virada do ano.<\/p>\n<h2 id=\"tipps\">Dicas para come\u00e7ar<\/h2>\n<ul>\n<li><strong>Primeiro o Flash, depois o Argon:<\/strong> fa\u00e7a sua pergunta primeiro ao Gemini 3.8 Flash. Se a resposta n\u00e3o for suficiente, troque para o Argon no mesmo chat.<\/li>\n<li><strong>Baixo para textos:<\/strong> e-mails, resumos e tradu\u00e7\u00f5es n\u00e3o exigem muito racioc\u00ednio. Isso economiza tokens.<\/li>\n<li><strong>Alto para casos dif\u00edceis:<\/strong> c\u00e1lculos complicados, busca de erros no c\u00f3digo ou a compara\u00e7\u00e3o de v\u00e1rios documentos longos s\u00e3o o tipo de uso para o qual o Argon foi criado.<\/li>\n<li><strong>Busca na web para temas atuais:<\/strong> o conhecimento do Argon termina em mar\u00e7o de 2026. Para not\u00edcias, pre\u00e7os ou produtos novos, ative a busca na web.<\/li>\n<li><strong>Perguntas direcionadas em documentos longos:<\/strong> \u00e9 aqui que o Argon se sai melhor, segundo os benchmarks. S\u00f3 que, quanto mais longa a entrada, mais tokens custa cada mensagem.<\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"<p>O Gemini 4 Argon, novo modelo topo de linha do Google, est\u00e1 dispon\u00edvel no ChatX. Mostramos onde ele lidera nos benchmarks e onde n\u00e3o, quantos tokens custa uma resposta e quando o Gemini 3.8 Flash ou o Flash Lite \u00e9 a melhor escolha.<\/p>\n","protected":false},"author":2,"featured_media":1600,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[635],"tags":[],"class_list":["post-1644","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-gemini"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.7 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Gemini 4 Argon chegou ao ChatX - ChatX Blog<\/title>\n<meta name=\"description\" content=\"Gemini 4 Argon chegou ao ChatX. Benchmarks, custo em tokens e a compara\u00e7\u00e3o com Gemini 3.8 Flash e Flash Lite: qual modelo serve para qu\u00ea.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/chatx.ai\/blog\/pt-br\/gemini-4-argon\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Gemini 4 Argon chegou ao ChatX - ChatX Blog\" \/>\n<meta property=\"og:description\" content=\"Gemini 4 Argon chegou ao ChatX. Benchmarks, custo em tokens e a compara\u00e7\u00e3o com Gemini 3.8 Flash e Flash Lite: qual modelo serve para qu\u00ea.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/chatx.ai\/blog\/pt-br\/gemini-4-argon\/\" \/>\n<meta property=\"og:site_name\" content=\"ChatX Blog\" \/>\n<meta property=\"article:publisher\" content=\"https:\/\/www.facebook.com\/chatxsocial\" \/>\n<meta property=\"article:published_time\" content=\"2026-11-09T10:00:00+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2026-11-10T18:00:47+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/chatx.ai\/blog\/wp-content\/uploads\/2026\/11\/gemini-4-argon.jpg\" \/>\n\t<meta property=\"og:image:width\" content=\"1536\" \/>\n\t<meta property=\"og:image:height\" content=\"864\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/jpeg\" \/>\n<meta name=\"author\" content=\"ChatX\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:creator\" content=\"@chatx_ai\" \/>\n<meta name=\"twitter:site\" content=\"@chatx_ai\" \/>\n<meta name=\"twitter:label1\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"ChatX\" \/>\n\t<meta name=\"twitter:label2\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data2\" content=\"6 minutes\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\\\/\\\/schema.org\",\"@graph\":[{\"@type\":\"Article\",\"@id\":\"https:\\\/\\\/chatx.ai\\\/blog\\\/pt-br\\\/gemini-4-argon\\\/#article\",\"isPartOf\":{\"@id\":\"https:\\\/\\\/chatx.ai\\\/blog\\\/pt-br\\\/gemini-4-argon\\\/\"},\"author\":{\"name\":\"ChatX\",\"@id\":\"https:\\\/\\\/chatx.ai\\\/blog\\\/#\\\/schema\\\/person\\\/8ffde3b170e0dc6a2ebfed1e5ca8df0f\"},\"headline\":\"Gemini 4 Argon chegou ao ChatX\",\"datePublished\":\"2026-11-09T10:00:00+00:00\",\"dateModified\":\"2026-11-10T18:00:47+00:00\",\"mainEntityOfPage\":{\"@id\":\"https:\\\/\\\/chatx.ai\\\/blog\\\/pt-br\\\/gemini-4-argon\\\/\"},\"wordCount\":1183,\"publisher\":{\"@id\":\"https:\\\/\\\/chatx.ai\\\/blog\\\/#organization\"},\"image\":{\"@id\":\"https:\\\/\\\/chatx.ai\\\/blog\\\/pt-br\\\/gemini-4-argon\\\/#primaryimage\"},\"thumbnailUrl\":\"https:\\\/\\\/chatx.ai\\\/blog\\\/wp-content\\\/uploads\\\/2026\\\/11\\\/gemini-4-argon.jpg\",\"articleSection\":[\"Gemini\"],\"inLanguage\":\"en-US\"},{\"@type\":\"WebPage\",\"@id\":\"https:\\\/\\\/chatx.ai\\\/blog\\\/pt-br\\\/gemini-4-argon\\\/\",\"url\":\"https:\\\/\\\/chatx.ai\\\/blog\\\/pt-br\\\/gemini-4-argon\\\/\",\"name\":\"Gemini 4 Argon chegou ao ChatX - ChatX Blog\",\"isPartOf\":{\"@id\":\"https:\\\/\\\/chatx.ai\\\/blog\\\/#website\"},\"primaryImageOfPage\":{\"@id\":\"https:\\\/\\\/chatx.ai\\\/blog\\\/pt-br\\\/gemini-4-argon\\\/#primaryimage\"},\"image\":{\"@id\":\"https:\\\/\\\/chatx.ai\\\/blog\\\/pt-br\\\/gemini-4-argon\\\/#primaryimage\"},\"thumbnailUrl\":\"https:\\\/\\\/chatx.ai\\\/blog\\\/wp-content\\\/uploads\\\/2026\\\/11\\\/gemini-4-argon.jpg\",\"datePublished\":\"2026-11-09T10:00:00+00:00\",\"dateModified\":\"2026-11-10T18:00:47+00:00\",\"description\":\"Gemini 4 Argon chegou ao ChatX. Benchmarks, custo em tokens e a compara\u00e7\u00e3o com Gemini 3.8 Flash e Flash Lite: qual modelo serve para qu\u00ea.\",\"breadcrumb\":{\"@id\":\"https:\\\/\\\/chatx.ai\\\/blog\\\/pt-br\\\/gemini-4-argon\\\/#breadcrumb\"},\"inLanguage\":\"en-US\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\\\/\\\/chatx.ai\\\/blog\\\/pt-br\\\/gemini-4-argon\\\/\"]}]},{\"@type\":\"ImageObject\",\"inLanguage\":\"en-US\",\"@id\":\"https:\\\/\\\/chatx.ai\\\/blog\\\/pt-br\\\/gemini-4-argon\\\/#primaryimage\",\"url\":\"https:\\\/\\\/chatx.ai\\\/blog\\\/wp-content\\\/uploads\\\/2026\\\/11\\\/gemini-4-argon.jpg\",\"contentUrl\":\"https:\\\/\\\/chatx.ai\\\/blog\\\/wp-content\\\/uploads\\\/2026\\\/11\\\/gemini-4-argon.jpg\",\"width\":1536,\"height\":864,\"caption\":\"Gemini 4 Argon ist neu auf ChatX\"},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\\\/\\\/chatx.ai\\\/blog\\\/pt-br\\\/gemini-4-argon\\\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Home\",\"item\":\"https:\\\/\\\/chatx.ai\\\/blog\\\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Gemini 4 Argon chegou ao ChatX\"}]},{\"@type\":\"WebSite\",\"@id\":\"https:\\\/\\\/chatx.ai\\\/blog\\\/#website\",\"url\":\"https:\\\/\\\/chatx.ai\\\/blog\\\/\",\"name\":\"ChatGPT\",\"description\":\"All about AI\",\"publisher\":{\"@id\":\"https:\\\/\\\/chatx.ai\\\/blog\\\/#organization\"},\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"https:\\\/\\\/chatx.ai\\\/blog\\\/?s={search_term_string}\"},\"query-input\":{\"@type\":\"PropertyValueSpecification\",\"valueRequired\":true,\"valueName\":\"search_term_string\"}}],\"inLanguage\":\"en-US\"},{\"@type\":\"Organization\",\"@id\":\"https:\\\/\\\/chatx.ai\\\/blog\\\/#organization\",\"name\":\"ChatX\",\"alternateName\":\"ChatGPT\",\"url\":\"https:\\\/\\\/chatx.ai\\\/blog\\\/\",\"logo\":{\"@type\":\"ImageObject\",\"inLanguage\":\"en-US\",\"@id\":\"https:\\\/\\\/chatx.ai\\\/blog\\\/#\\\/schema\\\/logo\\\/image\\\/\",\"url\":\"https:\\\/\\\/chatx.ai\\\/blog\\\/wp-content\\\/uploads\\\/2025\\\/04\\\/chatx.jpg\",\"contentUrl\":\"https:\\\/\\\/chatx.ai\\\/blog\\\/wp-content\\\/uploads\\\/2025\\\/04\\\/chatx.jpg\",\"width\":1024,\"height\":1024,\"caption\":\"ChatX\"},\"image\":{\"@id\":\"https:\\\/\\\/chatx.ai\\\/blog\\\/#\\\/schema\\\/logo\\\/image\\\/\"},\"sameAs\":[\"https:\\\/\\\/www.facebook.com\\\/chatxsocial\",\"https:\\\/\\\/x.com\\\/chatx_ai\",\"https:\\\/\\\/www.instagram.com\\\/chatx.ai\\\/\",\"https:\\\/\\\/www.youtube.com\\\/@chatx_ai_robotics\",\"https:\\\/\\\/www.tiktok.com\\\/@chatxai\"]},{\"@type\":\"Person\",\"@id\":\"https:\\\/\\\/chatx.ai\\\/blog\\\/#\\\/schema\\\/person\\\/8ffde3b170e0dc6a2ebfed1e5ca8df0f\",\"name\":\"ChatX\",\"image\":{\"@type\":\"ImageObject\",\"inLanguage\":\"en-US\",\"@id\":\"https:\\\/\\\/secure.gravatar.com\\\/avatar\\\/a44ff2952b46289291c05571d4d77d021a3f097db0e212c75fa8ed4e9acb091a?s=96&d=mm&r=g\",\"url\":\"https:\\\/\\\/secure.gravatar.com\\\/avatar\\\/a44ff2952b46289291c05571d4d77d021a3f097db0e212c75fa8ed4e9acb091a?s=96&d=mm&r=g\",\"contentUrl\":\"https:\\\/\\\/secure.gravatar.com\\\/avatar\\\/a44ff2952b46289291c05571d4d77d021a3f097db0e212c75fa8ed4e9acb091a?s=96&d=mm&r=g\",\"caption\":\"ChatX\"},\"url\":\"https:\\\/\\\/chatx.ai\\\/blog\\\/author\\\/chatx\\\/\"}]}<\/script>\n<!-- \/ Yoast SEO plugin. -->","yoast_head_json":{"title":"Gemini 4 Argon chegou ao ChatX - ChatX Blog","description":"Gemini 4 Argon chegou ao ChatX. Benchmarks, custo em tokens e a compara\u00e7\u00e3o com Gemini 3.8 Flash e Flash Lite: qual modelo serve para qu\u00ea.","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"https:\/\/chatx.ai\/blog\/pt-br\/gemini-4-argon\/","og_locale":"en_US","og_type":"article","og_title":"Gemini 4 Argon chegou ao ChatX - ChatX Blog","og_description":"Gemini 4 Argon chegou ao ChatX. Benchmarks, custo em tokens e a compara\u00e7\u00e3o com Gemini 3.8 Flash e Flash Lite: qual modelo serve para qu\u00ea.","og_url":"https:\/\/chatx.ai\/blog\/pt-br\/gemini-4-argon\/","og_site_name":"ChatX Blog","article_publisher":"https:\/\/www.facebook.com\/chatxsocial","article_published_time":"2026-11-09T10:00:00+00:00","article_modified_time":"2026-11-10T18:00:47+00:00","og_image":[{"width":1536,"height":864,"url":"https:\/\/chatx.ai\/blog\/wp-content\/uploads\/2026\/11\/gemini-4-argon.jpg","type":"image\/jpeg"}],"author":"ChatX","twitter_card":"summary_large_image","twitter_creator":"@chatx_ai","twitter_site":"@chatx_ai","twitter_misc":{"Written by":"ChatX","Est. reading time":"6 minutes"},"schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"Article","@id":"https:\/\/chatx.ai\/blog\/pt-br\/gemini-4-argon\/#article","isPartOf":{"@id":"https:\/\/chatx.ai\/blog\/pt-br\/gemini-4-argon\/"},"author":{"name":"ChatX","@id":"https:\/\/chatx.ai\/blog\/#\/schema\/person\/8ffde3b170e0dc6a2ebfed1e5ca8df0f"},"headline":"Gemini 4 Argon chegou ao ChatX","datePublished":"2026-11-09T10:00:00+00:00","dateModified":"2026-11-10T18:00:47+00:00","mainEntityOfPage":{"@id":"https:\/\/chatx.ai\/blog\/pt-br\/gemini-4-argon\/"},"wordCount":1183,"publisher":{"@id":"https:\/\/chatx.ai\/blog\/#organization"},"image":{"@id":"https:\/\/chatx.ai\/blog\/pt-br\/gemini-4-argon\/#primaryimage"},"thumbnailUrl":"https:\/\/chatx.ai\/blog\/wp-content\/uploads\/2026\/11\/gemini-4-argon.jpg","articleSection":["Gemini"],"inLanguage":"en-US"},{"@type":"WebPage","@id":"https:\/\/chatx.ai\/blog\/pt-br\/gemini-4-argon\/","url":"https:\/\/chatx.ai\/blog\/pt-br\/gemini-4-argon\/","name":"Gemini 4 Argon chegou ao ChatX - ChatX Blog","isPartOf":{"@id":"https:\/\/chatx.ai\/blog\/#website"},"primaryImageOfPage":{"@id":"https:\/\/chatx.ai\/blog\/pt-br\/gemini-4-argon\/#primaryimage"},"image":{"@id":"https:\/\/chatx.ai\/blog\/pt-br\/gemini-4-argon\/#primaryimage"},"thumbnailUrl":"https:\/\/chatx.ai\/blog\/wp-content\/uploads\/2026\/11\/gemini-4-argon.jpg","datePublished":"2026-11-09T10:00:00+00:00","dateModified":"2026-11-10T18:00:47+00:00","description":"Gemini 4 Argon chegou ao ChatX. Benchmarks, custo em tokens e a compara\u00e7\u00e3o com Gemini 3.8 Flash e Flash Lite: qual modelo serve para qu\u00ea.","breadcrumb":{"@id":"https:\/\/chatx.ai\/blog\/pt-br\/gemini-4-argon\/#breadcrumb"},"inLanguage":"en-US","potentialAction":[{"@type":"ReadAction","target":["https:\/\/chatx.ai\/blog\/pt-br\/gemini-4-argon\/"]}]},{"@type":"ImageObject","inLanguage":"en-US","@id":"https:\/\/chatx.ai\/blog\/pt-br\/gemini-4-argon\/#primaryimage","url":"https:\/\/chatx.ai\/blog\/wp-content\/uploads\/2026\/11\/gemini-4-argon.jpg","contentUrl":"https:\/\/chatx.ai\/blog\/wp-content\/uploads\/2026\/11\/gemini-4-argon.jpg","width":1536,"height":864,"caption":"Gemini 4 Argon ist neu auf ChatX"},{"@type":"BreadcrumbList","@id":"https:\/\/chatx.ai\/blog\/pt-br\/gemini-4-argon\/#breadcrumb","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https:\/\/chatx.ai\/blog\/"},{"@type":"ListItem","position":2,"name":"Gemini 4 Argon chegou ao ChatX"}]},{"@type":"WebSite","@id":"https:\/\/chatx.ai\/blog\/#website","url":"https:\/\/chatx.ai\/blog\/","name":"ChatGPT","description":"All about AI","publisher":{"@id":"https:\/\/chatx.ai\/blog\/#organization"},"potentialAction":[{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https:\/\/chatx.ai\/blog\/?s={search_term_string}"},"query-input":{"@type":"PropertyValueSpecification","valueRequired":true,"valueName":"search_term_string"}}],"inLanguage":"en-US"},{"@type":"Organization","@id":"https:\/\/chatx.ai\/blog\/#organization","name":"ChatX","alternateName":"ChatGPT","url":"https:\/\/chatx.ai\/blog\/","logo":{"@type":"ImageObject","inLanguage":"en-US","@id":"https:\/\/chatx.ai\/blog\/#\/schema\/logo\/image\/","url":"https:\/\/chatx.ai\/blog\/wp-content\/uploads\/2025\/04\/chatx.jpg","contentUrl":"https:\/\/chatx.ai\/blog\/wp-content\/uploads\/2025\/04\/chatx.jpg","width":1024,"height":1024,"caption":"ChatX"},"image":{"@id":"https:\/\/chatx.ai\/blog\/#\/schema\/logo\/image\/"},"sameAs":["https:\/\/www.facebook.com\/chatxsocial","https:\/\/x.com\/chatx_ai","https:\/\/www.instagram.com\/chatx.ai\/","https:\/\/www.youtube.com\/@chatx_ai_robotics","https:\/\/www.tiktok.com\/@chatxai"]},{"@type":"Person","@id":"https:\/\/chatx.ai\/blog\/#\/schema\/person\/8ffde3b170e0dc6a2ebfed1e5ca8df0f","name":"ChatX","image":{"@type":"ImageObject","inLanguage":"en-US","@id":"https:\/\/secure.gravatar.com\/avatar\/a44ff2952b46289291c05571d4d77d021a3f097db0e212c75fa8ed4e9acb091a?s=96&d=mm&r=g","url":"https:\/\/secure.gravatar.com\/avatar\/a44ff2952b46289291c05571d4d77d021a3f097db0e212c75fa8ed4e9acb091a?s=96&d=mm&r=g","contentUrl":"https:\/\/secure.gravatar.com\/avatar\/a44ff2952b46289291c05571d4d77d021a3f097db0e212c75fa8ed4e9acb091a?s=96&d=mm&r=g","caption":"ChatX"},"url":"https:\/\/chatx.ai\/blog\/author\/chatx\/"}]}},"lang":"pt-br","translations":{"pt-br":1644,"de":1582,"en":1638,"fr":1640,"es":1642,"it":1646,"nl":1648},"pll_sync_post":{},"_links":{"self":[{"href":"https:\/\/chatx.ai\/blog\/wp-json\/wp\/v2\/posts\/1644","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/chatx.ai\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/chatx.ai\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/chatx.ai\/blog\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/chatx.ai\/blog\/wp-json\/wp\/v2\/comments?post=1644"}],"version-history":[{"count":1,"href":"https:\/\/chatx.ai\/blog\/wp-json\/wp\/v2\/posts\/1644\/revisions"}],"predecessor-version":[{"id":1645,"href":"https:\/\/chatx.ai\/blog\/wp-json\/wp\/v2\/posts\/1644\/revisions\/1645"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/chatx.ai\/blog\/wp-json\/wp\/v2\/media\/1600"}],"wp:attachment":[{"href":"https:\/\/chatx.ai\/blog\/wp-json\/wp\/v2\/media?parent=1644"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/chatx.ai\/blog\/wp-json\/wp\/v2\/categories?post=1644"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/chatx.ai\/blog\/wp-json\/wp\/v2\/tags?post=1644"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}