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
- Capability frontier with guardrails: Mythos-class performance without unrestricted access to the riskiest capabilities.
- Long-horizon reliability: The longest sustained autonomy of any Anthropic model, with persistent memory.
- Token efficiency: Highest FrontierCode scores even at medium effort, cutting cost per completed task.
Tips
- Plan for fallbacks: If your work touches cyber, bio, or chemistry, responses may silently route to Opus 4.8; build around that behavior.
- Give it memory: File-based notes materially improve multi-session performance, more than for earlier models.
- 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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