{"id":1574,"date":"2026-07-17T00:59:30","date_gmt":"2026-07-17T00:59:30","guid":{"rendered":"https:\/\/convly.ai\/?p=1574"},"modified":"2026-08-01T06:45:59","modified_gmt":"2026-08-01T06:45:59","slug":"kimi-k3-vs-claude-opus-4-8","status":"publish","type":"post","link":"https:\/\/convly.ai\/pt\/kimi-k3-vs-claude-opus-4-8\/","title":{"rendered":"Kimi K3 vs Claude Opus 4.8 (2026): Especifica\u00e7\u00f5es, pre\u00e7os e veredito"},"content":{"rendered":"<p>Moonshot&#8217;s <strong>Kimi K3<\/strong> arrived in July 2026 as the most serious open-weight challenger yet to Anthropic&#8217;s flagship <strong>Claude Opus 4.8<\/strong> \u2014 and the two models represent opposite philosophies of frontier AI. One is a 2.8-trillion-parameter open mixture-of-experts you will (from July 27) be able to download; the other is a closed, polished agentic workhorse you rent through an API. Here is how they actually compare on specs, pricing, and practical deployment, using data from our <a href=\"\/pt\/models\/\">live AI models database<\/a>.<\/p>\n<div style='background:#faf9ff;border:1px solid #e6e1f5;border-left:4px solid #6d28d9;border-radius:10px;padding:18px 22px;margin:28px 0;'>\n<p style='margin:0 0 10px;font-weight:700;color:#4c1d95;font-size:14px;letter-spacing:.5px;text-transform:uppercase;'>Fatos Principais<\/p>\n<ul style='margin:0;padding-left:20px;'>\n<li><strong>Kimi K3:<\/strong> 2.8T total parameters (MoE, 16 of 896 experts active), 1M context, open weights due July 27, 2026<\/li>\n<li><strong>Claude Opus 4.8:<\/strong> Anthropic&#8217;s proprietary flagship, 1M context, up to 128K output tokens<\/li>\n<li><strong>API pricing:<\/strong> K3 at $3\/$15 per million tokens vs Opus 4.8 at $5\/$25 \u2014 <strong>~40% cheaper blended<\/strong> ($6.00 vs $10.00 on our 3:1 index)<\/li>\n<li><strong>Self-hosting K3 is theoretical for most:<\/strong> ~1.4 TB of VRAM at 4-bit \u2014 a multi-node H200 cluster, not a workstation<\/li>\n<li>Moonshot&#8217;s published benchmarks show K3 edging past Opus 4.8 on several agentic and coding suites \u2014 treat vendor numbers as claims until independent benchmarks land<\/li>\n<\/ul>\n<\/div>\n<div id=\"ez-toc-container\" class=\"ez-toc-v2_0_86 counter-flat ez-toc-counter ez-toc-container-direction\">\n<label for=\"ez-toc-cssicon-toggle-item-6a95d866883a5\" class=\"ez-toc-cssicon-toggle-label\"><span class=\"\"><span class=\"eztoc-hide\" style=\"display:none;\">Alternar<\/span><span class=\"ez-toc-icon-toggle-span\"><svg style=\"fill: #000000;color:#000000\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" class=\"list-377408\" width=\"20px\" height=\"20px\" viewbox=\"0 0 24 24\" fill=\"none\"><path d=\"M6 6H4v2h2V6zm14 0H8v2h12V6zM4 11h2v2H4v-2zm16 0H8v2h12v-2zM4 16h2v2H4v-2zm16 0H8v2h12v-2z\" fill=\"currentColor\"><\/path><\/svg><svg style=\"fill: #000000;color:#000000\" class=\"arrow-unsorted-368013\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"10px\" height=\"10px\" viewbox=\"0 0 24 24\" version=\"1.2\" baseprofile=\"tiny\"><path d=\"M18.2 9.3l-6.2-6.3-6.2 6.3c-.2.2-.3.4-.3.7s.1.5.3.7c.2.2.4.3.7.3h11c.3 0 .5-.1.7-.3.2-.2.3-.5.3-.7s-.1-.5-.3-.7zM5.8 14.7l6.2 6.3 6.2-6.3c.2-.2.3-.5.3-.7s-.1-.5-.3-.7c-.2-.2-.4-.3-.7-.3h-11c-.3 0-.5.1-.7.3-.2.2-.3.5-.3.7s.1.5.3.7z\"\/><\/svg><\/span><\/span><\/label><input type=\"checkbox\"  id=\"ez-toc-cssicon-toggle-item-6a95d866883a5\"  aria-label=\"Alternar\" \/><nav><ul class='ez-toc-list ez-toc-list-level-1' ><li class='ez-toc-page-1'><a class=\"ez-toc-link ez-toc-heading-1\" href=\"https:\/\/convly.ai\/pt\/kimi-k3-vs-claude-opus-4-8\/#Specs_Side_by_Side\" >Specs, Side by Side<\/a><\/li><li class='ez-toc-page-1'><a class=\"ez-toc-link ez-toc-heading-2\" href=\"https:\/\/convly.ai\/pt\/kimi-k3-vs-claude-opus-4-8\/#The_Pricing_Math\" >The Pricing Math<\/a><\/li><li class='ez-toc-page-1'><a class=\"ez-toc-link ez-toc-heading-3\" href=\"https:\/\/convly.ai\/pt\/kimi-k3-vs-claude-opus-4-8\/#Open_Weights_Change_the_Question\" >Open Weights Change the Question<\/a><\/li><li class='ez-toc-page-1'><a class=\"ez-toc-link ez-toc-heading-4\" href=\"https:\/\/convly.ai\/pt\/kimi-k3-vs-claude-opus-4-8\/#FAQ\" >Perguntas frequentes<\/a><\/li><\/ul><\/nav><\/div>\n<h2><span class=\"ez-toc-section\" id=\"Specs_Side_by_Side\"><\/span>Specs, Side by Side<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<div style='background:#faf9ff;border:1px solid #e6e1f5;border-radius:10px;padding:18px 22px;margin:28px 0;overflow-x:auto;'>\n<p style='margin:0 0 12px;font-weight:700;color:#4c1d95;font-size:14px;letter-spacing:.5px;text-transform:uppercase;'>Head to Head<\/p>\n<table style='width:100%;border-collapse:collapse;font-size:15px;'>\n<tr>\n<th style='text-align:left;padding:8px 10px;border-bottom:2px solid #e6e1f5;color:#4c1d95;'><\/th>\n<th style='text-align:left;padding:8px 10px;border-bottom:2px solid #e6e1f5;color:#4c1d95;'>Kimi K3<\/th>\n<th style='text-align:left;padding:8px 10px;border-bottom:2px solid #e6e1f5;color:#4c1d95;'>Claude Opus 4.8<\/th>\n<\/tr>\n<tr>\n<td style='padding:8px 10px;border-bottom:1px solid #efecf8;'>Desenvolvedor<\/td>\n<td style='padding:8px 10px;border-bottom:1px solid #efecf8;'>Moonshot AI<\/td>\n<td style='padding:8px 10px;border-bottom:1px solid #efecf8;'>Anthropic<\/td>\n<\/tr>\n<tr>\n<td style='padding:8px 10px;border-bottom:1px solid #efecf8;'>Par\u00e2metros<\/td>\n<td style='padding:8px 10px;border-bottom:1px solid #efecf8;'>2.8T total, MoE (16\/896 experts active)<\/td>\n<td style='padding:8px 10px;border-bottom:1px solid #efecf8;'>N\u00e3o divulgado<\/td>\n<\/tr>\n<tr>\n<td style='padding:8px 10px;border-bottom:1px solid #efecf8;'>Janela de contexto<\/td>\n<td style='padding:8px 10px;border-bottom:1px solid #efecf8;'>1 milh\u00e3o de tokens<\/td>\n<td style='padding:8px 10px;border-bottom:1px solid #efecf8;'>1 milh\u00e3o de tokens<\/td>\n<\/tr>\n<tr>\n<td style='padding:8px 10px;border-bottom:1px solid #efecf8;'>Sa\u00edda m\u00e1xima<\/td>\n<td style='padding:8px 10px;border-bottom:1px solid #efecf8;'>\u2014<\/td>\n<td style='padding:8px 10px;border-bottom:1px solid #efecf8;'>128K tokens<\/td>\n<\/tr>\n<tr>\n<td style='padding:8px 10px;border-bottom:1px solid #efecf8;'>Licen\u00e7a<\/td>\n<td style='padding:8px 10px;border-bottom:1px solid #efecf8;'>Open weights (from Jul 27, 2026)<\/td>\n<td style='padding:8px 10px;border-bottom:1px solid #efecf8;'>Proprietary API<\/td>\n<\/tr>\n<tr>\n<td style='padding:8px 10px;border-bottom:1px solid #efecf8;'>API price (in\/out per 1M)<\/td>\n<td style='padding:8px 10px;border-bottom:1px solid #efecf8;'>$3 \/ $15<\/td>\n<td style='padding:8px 10px;border-bottom:1px solid #efecf8;'>$5 \/ $25<\/td>\n<\/tr>\n<tr>\n<td style='padding:8px 10px;'>Run it locally?<\/td>\n<td style='padding:8px 10px;'>~1.4 TB VRAM (4-bit) \u2014 multi-node cluster<\/td>\n<td style='padding:8px 10px;'>Not available<\/td>\n<\/tr>\n<\/table>\n<\/div>\n<h2><span class=\"ez-toc-section\" id=\"The_Pricing_Math\"><\/span>The Pricing Math<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>On our blended index (3:1 input-to-output, the ratio of typical production traffic), Kimi K3 costs <strong>$6.00 per million tokens against $10.00 for Opus 4.8<\/strong> \u2014 a 40% saving at near-frontier capability. Run a real workload through it: at 100M input + 20M output tokens a month, K3 bills $600 while Opus bills $1,000. Over a year that difference funds an entire additional AI project. You can model your own volumes in our <a href=\"\/pt\/ai-api-cost-calculator\/\">Calculadora de custos de API de IA<\/a>.<\/p>\n<p>The context that matters: both models sit at the premium end of our <a href=\"\/pt\/ai-price-performance-index-2026\/\">\u00edndice pre\u00e7o-desempenho<\/a>, where efficiency-tier models deliver far more capability per dollar for routine work. The K3-vs-Opus question is really about the top 10% of tasks \u2014 long-horizon agents, complex refactors, high-stakes reasoning \u2014 where flagship quality pays for itself.<\/p>\n<h2><span class=\"ez-toc-section\" id=\"Open_Weights_Change_the_Question\"><\/span>Open Weights Change the Question<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>From July 27, K3&#8217;s weights are downloadable \u2014 but &#8220;open&#8221; does not mean &#8220;runnable at home.&#8221; At roughly 1.4 TB of VRAM in 4-bit quantization, you need a multi-node cluster (think two 8-GPU H200 nodes) before the first token flows. For almost everyone, K3 will be consumed through APIs just like Opus. The strategic difference is real, though: open weights mean multiple competing providers, price pressure over time, fine-tuning rights, and no single-vendor kill switch \u2014 the same dynamics that made <a href=\"\/pt\/deepseek-explained-2026\/\">DeepSeek<\/a> the value king of our index.<\/p>\n<div style='background:#fffdf5;border:1px solid #f0e6c8;border-left:4px solid #b45309;border-radius:10px;padding:18px 22px;margin:28px 0;'>\n<p style='margin:0 0 10px;font-weight:700;color:#92400e;font-size:14px;letter-spacing:.5px;text-transform:uppercase;'>An\u00e1lise da Convly<\/p>\n<p style='margin:0;'>Choose Opus 4.8 when reliability under agentic load is the product \u2014 its 128K output ceiling and mature tooling remain the safest bet for production agents. Choose K3 when cost at frontier scale is the constraint, when you need fine-tuning rights, or when vendor independence matters strategically. And if your workload is routine, choose neither: the efficiency tier does 90% of tasks at a tenth of the price. The most expensive mistake in 2026 isn&#8217;t picking the wrong flagship \u2014 it&#8217;s using any flagship for work a $0.20 model handles.<\/p>\n<\/div>\n<h2><span class=\"ez-toc-section\" id=\"FAQ\"><\/span>Perguntas frequentes<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<h3>O Kimi K3 \u00e9 melhor que o Claude Opus 4.8?<\/h3>\n<p>Moonshot&#8217;s published results show K3 ahead on several agentic and coding benchmarks, but independent verification is still landing. What is certain: K3 costs ~40% less blended ($6 vs $10 per 1M tokens) and its weights go open on July 27, 2026.<\/p>\n<h3>Posso executar o Kimi K3 localmente?<\/h3>\n<p>Only with data-center hardware: ~1.4 TB of VRAM at 4-bit quantization, i.e. a multi-node GPU cluster such as two 8\u00d7H200 nodes. Check any open model&#8217;s requirements in our <a href=\"\/pt\/llm-vram-calculator\/\">Calculadora de VRAM para LLMs<\/a>.<\/p>\n<h3>Which is cheaper for production use?<\/h3>\n<p>Kimi K3: $3\/$15 per million tokens vs $5\/$25 for Opus 4.8. At a typical 3:1 input:output mix, that is $6.00 vs $10.00 blended \u2014 40% cheaper for the same volume.<\/p>\n<div style='background:#f5f9ff;border:1px solid #d8e4f5;border-left:4px solid #2563eb;border-radius:10px;padding:18px 22px;margin:28px 0;'>\n<p style='margin:0 0 10px;font-weight:700;color:#1e40af;font-size:14px;letter-spacing:.5px;text-transform:uppercase;'>Go Deeper<\/p>\n<ul style='margin:0;padding-left:20px;'>\n<li><a href=\"\/pt\/kimi-k3-explained-2026\/\">Kimi K3 Explained<\/a> \u2014 the full story of Moonshot&#8217;s 2.8T open model<\/li>\n<li><a href=\"\/pt\/kimi-k3-vs-chatgpt-claude-comparison\/\">Kimi K3 vs ChatGPT e Claude<\/a> \u2014 the three-way user&#8217;s view<\/li>\n<li><a href=\"\/pt\/models\/\">Banco de Dados Atualizado de Modelos de IA<\/a> \u00b7 <a href=\"\/pt\/ai-api-cost-calculator\/\">API Cost Calculator<\/a> \u00b7 <a href=\"\/pt\/ai-price-performance-index-2026\/\">Price-Performance Index<\/a><\/li>\n<\/ul>\n<\/div>","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":1848,"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\/pt\/wp-json\/wp\/v2\/posts\/1574","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/convly.ai\/pt\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/convly.ai\/pt\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/convly.ai\/pt\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/convly.ai\/pt\/wp-json\/wp\/v2\/comments?post=1574"}],"version-history":[{"count":3,"href":"https:\/\/convly.ai\/pt\/wp-json\/wp\/v2\/posts\/1574\/revisions"}],"predecessor-version":[{"id":1865,"href":"https:\/\/convly.ai\/pt\/wp-json\/wp\/v2\/posts\/1574\/revisions\/1865"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/convly.ai\/pt\/wp-json\/wp\/v2\/media\/1848"}],"wp:attachment":[{"href":"https:\/\/convly.ai\/pt\/wp-json\/wp\/v2\/media?parent=1574"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/convly.ai\/pt\/wp-json\/wp\/v2\/categories?post=1574"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/convly.ai\/pt\/wp-json\/wp\/v2\/tags?post=1574"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}