Anthropic发布Claude Fable 5.1与Mythos 5.1模型

We’re introducing Claude Fable 5.1 and Claude Mythos 5.1. They’re the world’s most advanced models for coding and knowledge work—and their research capabilities offer an early glimpse of how AI models will contribute to scientific progress.

Claude Fable 5.1 and Claude Mythos 5.1 are the same model, but with different levels of safeguards. Fable 5.1 is generally available, while Mythos 5.1 is available only through our trusted access programs; its safeguards are specifically designed to support work in cybersecurity and the life sciences.

Alongside its increased capabilities, Fable 5.1 takes important steps towards addressing the feedback we’ve received from customers on price, data retention, and safeguards.

Price. Fable 5.1 will cost an estimated 25% less than Fable 5 for typical workloads, wherever usage is billed by token. This is because we’re reducing our pricing on cache reads (where the model reads inputs that have already been processed and stored). For highly agentic work, the savings will often be much larger—up to approximately 45%.

Data retention. Our new system of Enterprise Frontier Safeguards (EFS) gives customers complete privacy (the same as a zero data retention policy) while still being state-of-the-art at preventing adversarial use. EFS works by storing data in cloud infrastructure controlled entirely by the customer, not Anthropic. It will be made available to enterprise customers in phases, beginning later this fall. Until EFS is available, eligible customers will be able to use Fable 5.1 with zero data retention.

Safeguards. We’ve improved our safeguards to reduce false positives (where the system flags benign content). In cybersecurity, our newest safeguards block 60% fewer false positives than before. In part, this is because Fable 5.1 can now be used to discover software vulnerabilities—though not to develop exploits for them. In biology, we’ve established an access program, developed in partnership with the US government, to enable access to Claude Mythos 5.1’s advanced biology capabilities. We expect to open enrollment for scientists soon.

A new performance frontier

Claude Fable 5.1 sets a new standard for coding, knowledge work, and long-running problem-solving tasks. The charts below show that Fable 5.1 is capable of much higher performance than its predecessor, Fable 5. And when set to Low or Medium effort, Fable 5.1 achieves results similar to or better than Fable 5’s at a much lower cost. (Note that Fable 5.1 defaults to High effort in Claude Code, and to Medium in Claude Cowork and on Claude.ai.)

Agentic scientific researchAgentic terminal codingMultidisciplinary reasoningAgentic coding

Agentic scientific researchAgentic terminal codingMultidisciplinary reasoningAgentic coding

Terminal-Bench-Science 0.1Accuracy vs Cost

• Fable 5.1
• Fable 5

0102030405060Score (%)101520304050Mean cost per task (USD, log scale)lowmedhighxhighmaxlowmedhighxhighmax

Terminal-Bench-Science 0.1: The standard error is ±3.5–4.5 pts per model. The public leaderboard (3 trials/task, Claude Code harness) reports Claude Opus 5 at 30.0% and Claude Fable 5 at 21.4%; our setup reproduces them at 29.0% and 24.7%, respectively, both within noise.

Terminal-Bench 4.0Accuracy vs Cost

• Mythos 5.1
• Fable 5.1
• Mythos 5

102030405060700Score (%)5810152030Mean cost per task (USD, log scale)lowmedhighxhighmaxlowmedhighxhighmaxlowmedhighxhighmax

Terminal-Bench 4.0 scores by cost (log scale), at each effort level. Claude Fable 5.1 and Claude Mythos 5.1 are the same underlying model; the gap between them reflects the tasks on which our earlier, less precise cyber safeguards intervened. With the improvements we’re making to these safeguards today, we expect the difference between the models to be much smaller.

Humanity's Last ExamAccuracy vs Cost

• Fable 5.1 (with tools)
• Fable 5.1 (no tools)
• Fable 5 (with tools)
• Fable 5 (no tools)

505560650Pass rate (%)0.20.5124Mean cost per task (USD, log scale)lowmaxlowmaxlowmaxlowmax

Humanity’s Last Exam scores by cost (log scale), at each effort level. CursorBench 3.2.0 scores by cost (log scale), at each effort level.

CursorBench 3.2.0Accuracy vs Cost

• Fable 5.1
• Fable 5

606570750Score (%)2351020Cost per task (USD, log scale)lowmedhighxhighmaxlowmedhighxhighmax

CursorBench 3.2.0 by cost (log scale), at each effort level.

Fable 5.1 avoids shortcuts that result in poorer-quality work, and it’s smart enough to fix the root causes of software issues. For example, in testing by the investment firm Millennium, Fable 5.1 found the cause of a rare crash in its internal systems that none of its engineers (or any other model) had been able to explain after several years of trying.

Here, you can see how Fable 5.1 compares across various benchmarks:

Fable 5.1 was evaluated with its production safeguards enabled. On tasks where these safeguards intervened, Fable 5.1 and Fable 5 scored a zero on OSWorld 2.0, and Fable 5 scored a zero on AutomationBench. In all other interventions from our safeguards, cybersecurity tasks were completed by Claude Opus 4.8, and biology tasks were completed by Claude Opus 5. This likely reduces the performance of Fable 5.1 and Fable 5 on these benchmarks.

Our early-access partners noticed these performance upgrades, and also picked up on more qualitative improvements in the model’s outputs. Here’s what they told us:

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“In internal benchmarks, Claude Fable 5.1 solves more of our coding problems than Fable 5 or Opus 5, and achieves state of the art on trading intuition. While prior models became hard to follow the longer they worked, Fable 5.1 remains readable over long, multi-step tasks.”

CompanyJane Street Capital

AuthorCraig Falls, Head of Quantitative Research

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“We're moving our Opus 5 traffic in Devin to Claude Fable 5.1 on launch day. It matched or edged out Fable 5 in our testing at a lower cost per task, and with the new cache read pricing a Fable-class model is finally economical for the workloads we'd kept on Opus, starting with code review.”

CompanyCognition

AuthorWalden Yan, Co-founder and CPO

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“A particular piece of code had an extremely rare crash, about one in a million runs, that nobody on our team had explained in four to five years. Every model I tried, including Fable 5, missed it. Claude Fable 5.1 was the first to find it. It disassembled an external vendor library, matched it against the core dump, and traced the crash to a bug in that library. The time it would have taken to conduct that analysis is hard to justify.”

CompanyMillennium

AuthorDamien, Senior Portfolio Manager

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