{"id":1221,"date":"2026-06-22T17:11:41","date_gmt":"2026-06-22T17:11:41","guid":{"rendered":"https:\/\/convly.ai\/model\/claude-fable-5\/"},"modified":"2026-08-03T02:30:08","modified_gmt":"2026-08-03T02:30:08","slug":"claude-fable-5","status":"publish","type":"ai_model","link":"https:\/\/convly.ai\/ar\/model\/claude-fable-5\/","title":{"rendered":"\u0643\u0644\u0627\u0648\u062f \u0641\u0627\u0628\u0644 \u0665"},"content":{"rendered":"<h2>\u0645\u0627 \u0647\u0648 \u00ab\u0643\u0644\u0648\u062f \u0641\u0627\u0628\u0644 5\u00bb\u061f<\/h2>\n<p>Claude Fable 5 is Anthropic&#8217;s most capable widely released model, positioned above the<br \/>\nOpus tier and priced accordingly at $10 in \/ $50 out per million tokens. Thinking is always<br \/>\non \u2014 there is no non-reasoning mode to fall back to \u2014 which is what makes it strong on<br \/>\nlong-horizon agentic work and what makes it expensive on anything trivial. It pairs a<br \/>\n1M-token context window with a 128K maximum output, an unusually large generation budget<br \/>\nthat matters when the task is producing a long artifact rather than answering a question.<\/p>\n<p>The economics only work at the top of the difficulty curve. At $50 per million output<br \/>\ntokens, Fable 5 costs roughly five times Claude Opus 4.8 on the output side, so routing<br \/>\nordinary requests to it burns budget for no measurable gain. The sensible pattern is a<br \/>\nrouter: Fable 5 for the small share of tasks where a wrong answer is expensive \u2014 multi-step<br \/>\nagents that run unattended, deep research, refactors across a large codebase \u2014 and a<br \/>\nSonnet- or Haiku-tier model for everything else. If your workload is mostly retrieval and<br \/>\nsummarisation, the price gap will dominate your bill long before capability does.<\/p>","protected":false},"excerpt":{"rendered":"<p>What is Claude Fable 5? Claude Fable 5 is Anthropic&#8217;s most capable widely released model, positioned above the Opus tier [&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 (frontier 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":"10.00","cm_output_price":"50.00","cm_api_providers":"Anthropic, AWS","cm_vram_fp16":"","cm_vram_q4":"","cm_min_gpu":"","cm_benchmarks":"","cm_official_url":"https:\/\/www.anthropic.com\/claude"},"class_list":["post-1221","ai_model","type-ai_model","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/convly.ai\/ar\/wp-json\/wp\/v2\/ai_model\/1221","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/convly.ai\/ar\/wp-json\/wp\/v2\/ai_model"}],"about":[{"href":"https:\/\/convly.ai\/ar\/wp-json\/wp\/v2\/types\/ai_model"}],"wp:attachment":[{"href":"https:\/\/convly.ai\/ar\/wp-json\/wp\/v2\/media?parent=1221"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}