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Claude Fable 5

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Anthropic's Mythos-class flagship made safe for general use, with 1M-token context, frontier coding and vision, days-long agentic autonomy, and $10/$50 per 1.

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Claude Fable 5 is Anthropic's most capable model ever made generally available, launched June 9, 2026. It is a Mythos-class model wrapped in safety classifiers, giving the public access to capabilities that previously lived behind the restricted Project Glasswing program. Fable 5 excels at software engineering, knowledge work, vision, and long-horizon agentic tasks, and it can work autonomously for days at a time in harnesses like Claude Code. High-risk queries in cybersecurity, biology, chemistry, and distillation are routed to Claude Opus 4.8 instead, keeping the safest-possible release surface.

Core Features

  • Mythos-class intelligence: State of the art on nearly all tested benchmarks, with the lead growing as tasks get longer and more complex.
  • Safeguarded by design: Classifiers route cyber, bio, and chemistry queries to Opus 4.8; over 95% of sessions run entirely on Fable 5.
  • Days-long autonomy: Runs in agent harnesses like Claude Code for multi-stage, asynchronous work with subagent delegation.
  • Frontier vision: State of the art on vision tasks, including rebuilding a web app's source code from screenshots alone.
  • Persistent memory: File-based memory and self-written notes improve long-running task performance dramatically.

Model Specifications

Specification Claude Fable 5
Context 1M tokens (default)
Max output 128,000 tokens
Thinking Always on; control depth via effort parameter
API model claude-fable-5
Restricted tier Claude Mythos 5 (same model, safeguards lifted, limited access)

Pricing

Item Price per 1M tokens
Input $10.00
Output $50.00

Available on the Claude API, Amazon Bedrock, Google Cloud Vertex AI, and Microsoft Foundry. Subscription access (Pro, Max, Team, Enterprise) rolled out in stages from June 2026.

Benchmark Highlights

  • FrontierCode Diamond: 29.3% versus 13.4% for Claude Opus 4.8 and 5.7% for GPT-5.5 on high-quality agentic coding.
  • GDPval-AA: 1,932 points, versus 1,890 for Opus 4.8.
  • Coding at scale: Stripe reported a codebase-wide migration in a 50-million-line Ruby codebase in a day that would otherwise take a team over two months.

Use Cases

  • Large migrations and refactors: Codebase-wide work that previously needed dedicated engineering teams.
  • Multi-day autonomous agents: Sessions spanning days in Claude Code or Claude Managed Agents with subagent delegation.
  • Knowledge work: Document-heavy finance, legal, analytics, and architecture tasks with chart and table interpretation.
  • Vision-driven development: Rebuilding interfaces from screenshots and validating output against designs.

Advantages

  1. Capability frontier with guardrails: Mythos-class performance without unrestricted access to the riskiest capabilities.
  2. Long-horizon reliability: The longest sustained autonomy of any Anthropic model, with persistent memory.
  3. Token efficiency: Highest FrontierCode scores even at medium effort, cutting cost per completed task.

Tips

  1. Plan for fallbacks: If your work touches cyber, bio, or chemistry, responses may silently route to Opus 4.8; build around that behavior.
  2. Give it memory: File-based notes materially improve multi-session performance, more than for earlier models.
  3. Use effort controls: Reduce thinking depth for routine tasks while keeping frontier quality on hard ones.

Conclusion

Claude Fable 5 brings Mythos-class capability to general use for the first time, setting the standard for agentic coding, vision, and long-running autonomous work. If your hardest problems involve sustained reasoning over large codebases, it is the model to test first.

Alternatives

  • GPT-5.6 Sol: OpenAI's frontier flagship with a comparable context window and reasoning depth.
  • GLM-5.3: Open-weight coding leader approaching Fable-level agent performance.
  • Claude Opus 5: Near-Fable intelligence at Opus pricing when cost matters more.

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