Claude Fable 5 by Anthropic: first publicly released Mythos-class model with adaptive thinking always on, multi-day autonomous agents, vision-assisted self-checking, and built-in safety classifiers.
Capabilities, design details, and architectural traits
Claude Fable 5 is Anthropic's most capable widely released model and the first model derived from the Mythos class to be made generally available. Its core design principle is sustained, long-horizon agentic work - tasks that span days rather than minutes - with minimal human supervision. The longer and more complex the task, the larger its performance lead over previous Claude models.
| Trait | What it means for Fable 5 specifically |
|---|---|
| Mythos-class with public safety classifiers | Shares the same underlying model as Claude Mythos 5, but ships with classifiers that automatically route flagged cybersecurity and biology queries to Opus 4.8 instead |
| Adaptive thinking, always on | The only thinking mode available on Fable 5 and Mythos 5; raw chain-of-thought is never returned - only a summarized or omitted version |
| Vision-assisted self-evaluation | Uses vision to check its own coding output against the original design or goal, not just to process input |
| Multi-day autonomous execution | Officially documented to work for days at a time inside agent harnesses like Claude Code or Claude Managed Agents |
| 30-day mandatory data retention | All Fable 5 traffic is subject to a 30-day retention requirement for safety monitoring, a policy unique to Mythos-class models |
| 1M token context, 128k output | Supports up to 128k output tokens per request alongside a 1 million token context window |
Fable 5 and Claude Mythos 5 share identical training and capabilities. The only documented difference is that Mythos 5 does not include the safety classifiers. Mythos 5 is not publicly available and is deployed exclusively through Project Glasswing in collaboration with the US government. Fable 5 exists specifically to bring Mythos-class capability to general use while keeping the highest-risk capabilities gated.
Independent evaluations · Artificial Analysis
Evaluate specifications, pricing, and independent benchmark indices
| Model Details | |||
|---|---|---|---|
| General Info | |||
| Provider | Anthropic | Anthropic | SpaceXAI |
| Release Date | June 9, 2026 | July 24, 2026 | August 12, 2026 |
| Knowledge Cutoff | - | May 2026 | Feb 2026 |
| Context & Limits | |||
| Context Window | 1M Best Context Window | 1M Best Context Window | 500K |
| Pricing (per 1M tokens) | |||
| Input Pricing | $10 | $5 | $2 Best Input Pricing |
| Output Pricing | $50 | $25 | $6 Best Output Pricing |
| Modalities | |||
| Inputs | textimagefile | textimage | text |
| Outputs | text | text | text |
| Benchmarks (0-100) | |||
| Intelligence Index | 62.1 | 63.1 Best Intelligence Index | 60.9 |
| Coding Index | 76.5 | 78.0 Best Coding Index | 76.8 |
| Agentic Index | 56.6 | 59.2 Best Agentic Index | 58.7 |
Graduate-level reasoning and expert Q&A evaluation.
Extremely difficult logical reasoning and knowledge.
Logical reasoning over long context windows.
Independent evaluation data provided by Artificial Analysis. To view the latest benchmarks and full details, visit their official site.
Prices in USD.
