{"id":1220,"date":"2026-06-22T17:11:41","date_gmt":"2026-06-22T17:11:41","guid":{"rendered":"https:\/\/convly.ai\/model\/claude-opus-4-8\/"},"modified":"2026-08-03T02:30:09","modified_gmt":"2026-08-03T02:30:09","slug":"claude-opus-4-8","status":"publish","type":"ai_model","link":"https:\/\/convly.ai\/fr\/model\/claude-opus-4-8\/","title":{"rendered":"Claude Opus 4.8"},"content":{"rendered":"<h2>What is Claude Opus 4.8?<\/h2>\n<p>Claude Opus 4.8 is Anthropic&#8217;s Opus-tier flagship for state-of-the-art long-horizon<br \/>\nagentic work, coding and knowledge tasks. It runs adaptive thinking only, and carries a<br \/>\n1M-token context window at standard pricing \u2014 there is no long-context premium, which<br \/>\ndistinguishes it from several rivals that step the input rate up once a prompt passes a<br \/>\nthreshold. At $5 in \/ $25 out per million tokens it sits squarely in the frontier bracket.<\/p>\n<p>The no-premium 1M context is the practical reason to choose it. Models that double their<br \/>\ninput rate above 200K tokens make large-context work unpredictable to budget: the same<br \/>\nfeature costs a different amount depending on how much a user pasted in. Opus 4.8 bills the<br \/>\nsame rate from the first token to the millionth, so a retrieval-heavy application can size<br \/>\nits prompts around what produces the best answer rather than around a pricing cliff. It has<br \/>\nsince been joined by Claude Opus 5, which ranks higher on the Artificial Analysis<br \/>\nIntelligence Index at identical pricing \u2014 so for new builds, check whether Opus 5 is<br \/>\navailable in your region and provider before defaulting to 4.8.<\/p>","protected":false},"excerpt":{"rendered":"<p>What is Claude Opus 4.8? Claude Opus 4.8 is Anthropic&#8217;s Opus-tier flagship for state-of-the-art long-horizon agentic work, coding and knowledge [&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":"Anthropic","cm_model_type":"LLM (reasoning)","cm_modality":"Text, Vision \u2192 Text","cm_parameters":"Undisclosed","cm_context_window":"1M","cm_max_output":"128K","cm_license":"Proprietary","cm_open_weights":"no","cm_release_date":"2026","cm_input_price":"5.00","cm_output_price":"25.00","cm_api_providers":"Anthropic, AWS, Vertex AI, Azure","cm_vram_fp16":"","cm_vram_q4":"","cm_min_gpu":"","cm_benchmarks":"","cm_official_url":"https:\/\/www.anthropic.com\/claude"},"class_list":["post-1220","ai_model","type-ai_model","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/convly.ai\/fr\/wp-json\/wp\/v2\/ai_model\/1220","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/convly.ai\/fr\/wp-json\/wp\/v2\/ai_model"}],"about":[{"href":"https:\/\/convly.ai\/fr\/wp-json\/wp\/v2\/types\/ai_model"}],"wp:attachment":[{"href":"https:\/\/convly.ai\/fr\/wp-json\/wp\/v2\/media?parent=1220"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}