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Mini toolsClaude Fable 5
By Anthropic
Model family: Claude
Claude Fable 5 is Anthropic’s most capable generally available Claude model as of its 09-06-2026 launch. It uses the same underlying model as Claude Mythos 5, but includes conservative safeguards that route some cybersecurity, biology, chemistry, or model-distillation requests to Claude Opus 4.8 instead. Anthropic positions Fable 5 as state-of-the-art across software engineering, knowledge work, vision, scientific research, memory, and long-context autonomous tasks, with its largest advantage appearing on longer and more complex workflows. It is intended for broad professional use where high-end reasoning, coding, document analysis, visual understanding, and agentic task execution are needed.
New
Multimodal
Gen 3
Overview
Claude Fable 5 is Anthropic’s generally available Mythos-class Claude model for frontier reasoning, software engineering, knowledge work, vision, long-horizon tasks, and scientific research, with added safeguards for high-risk domains.
About Anthropic
Anthropic is a technology company specializing in artificial intelligence and machine learning solutions.
Industry:
Artificial Intelligence
Company Size:
3673
Location:
San Francisco, California, US
Website:
anthropic.com
Tools using Claude Fable 5
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Claude — v5.0Claude Fable 5 State-of-the-art on Cognition's FrontierCode eval, scoring highest among frontier models even at medium effort. More token-efficient than prior Claude models. Stripe reported a codebase-wide migration on a 50M-line Ruby codebase done in a day, versus an estimated two-plus months by hand. Highest score of any model on Hebbia's Finance Benchmark (senior-level reasoning), with major gains in document reasoning, chart and table interpretation, and problem solving. IMC reported near-across-the-board top results on trading-analysis evals (factual lookup, conceptual reasoning, root-cause analysis, expected-value analysis). New state-of-the-art for vision tasks. Extracts precise numbers from scientific figures and can rebuild a web app's source code from screenshots alone. Needs less scaffolding: beat Pokémon FireRed with a minimal vision-only harness, where earlier models needed complex helper harnesses. Stays focused across millions of tokens on long-running tasks and improves its outputs using its own notes. With persistent file-based memory in Slay the Spire, performance improved 3x more than Opus 4.8, and it reached the final act 3x more often. Works autonomously for longer than any prior Claude model
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Vanessa🙏 126 karmaDec 19, 2024@CursorCursor is underrated. -
Last updated: June 9, 2026
