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Claude Mythos Launched Today its Fable 5 model (Photo Illustration by Algi Febri Sugita\/SOPA Images\/LightRocket via Getty Images)<\/p>\n
SOPA Images\/LightRocket via Getty Images<\/p>\n
On June 9th, 2026, Anthropic released Claude Fable 5<\/a>, the first publicly available model from its Mythos tier. This has been a long awaiting model around safety. And just recently<\/a>, the May 2026 Ramp AI Index, drawn from corporate card and invoice data across more than 50,000 US companies, shows Anthropic at 34.4% of business adoption, ahead of OpenAI at 32.3%.<\/p>\n Here are six capabilities that matter.<\/p>\n 1. Mythos Fable 5 Performance that rewrites what’s possible in code<\/p>\n Fable 5 scored 80.3% on SWE-bench Pro, a benchmark of real software-engineering work. Opus 4.8 reached 69.2%. GPT-4 sits at 58.6%. The gap widens as problems get longer. <\/p>\n Stripe used Fable 5 to migrate a 50-million-line codebase in a day which that work would have taken a team two months. The model doesn’t break tasks into model-sized chunks anymore. It holds the entire project in mind, plans autonomously, runs for hours or days, and validates its own work.<\/p>\n 2. Mythos Extended reasoning without cognitive collapse<\/p>\n Where previous models hit a wall on long chains, Fable 5 sustains reasoning across sprawling problems. <\/p>\n Some examples: <\/p>\n Legal work climbs to 13.3% versus GPT-4’s 2.1%. Multidisciplinary reasoning hits 64.5% with tools. Biology reaches 83.9% on human-solved tasks. <\/p>\n This matters for anyone running knowledge-heavy workloads: contract analysis, financial audits, scientific research, medical reasoning. The model doesn’t hallucinate under load; it compounds precision across thousands of tokens.<\/p>\n 3. Agentic autonomy that actually closes loops<\/p>\n Fable 5 powers agents that plan, execute, and validate without human intervention between steps. <\/p>\n Box, the cloud storage company, says agents will use it immediately for financial documents, contracts, and life-sciences research. The model understands context deeply enough to catch its own errors, backtrack when needed, and explain why it changed course. <\/p>\n For teams deploying autonomous workflows, this is the difference between a pilot and production infrastructure.<\/p>\n 4. Mythos Has Vision and knowledge work integrated<\/p>\n The model combines state-of-the-art vision with knowledge reasoning. <\/p>\n Knowledge work (GDPval-AA) scores 1932 versus Opus’s 1890. Vision (GDPdf) reaches 29.8%. <\/p>\n This combination matters for document processing, scientific-paper analysis, and any task that requires reading visual information and extracting semantic meaning simultaneously. <\/p>\n The model doesn’t misread charts or miss details buried in dense layouts.<\/p>\n 5. With Mythos, Science acceleration Compounds Research Velocity<\/p>\n The unrestricted model is only available to vetted partners, and those partners are already using it on bleeding-edge science. In drug design, the model accelerated parts of the pipeline roughly tenfold. <\/p>\n For genomics, Mythos 5 trained a custom model that beat a recently published one despite being 100 times smaller. The model generates novel molecular-biology hypotheses that scientists prefer about 80% of the time over Opus-class output. This is research acceleration at scale.<\/p>\n 6. Mythos Enterprise pricing that doesn’t require a second mortgage<\/p>\n Both Fable 5 and Mythos 5 cost $10 per million input tokens and $50 per million output tokens. That\u2019s less than half Mythos Preview\u2019s pricing. With companies concerned about the AI Cost Crisis<\/a>, this is welcomed news.<\/p>\n The model is live on the Claude API and consumption-based enterprise plans now. On subscription plans, according to Anthropic<\/a>, (Pro, Max, Team, seat-based Enterprise), it’s free through June 22; after that, usage requires credits.<\/p>\n Who\u2019s Already Building on Mythos<\/p>\n