Anthropic prices its new top models below the last ones, with AI-research skills limited

Anthropic released Claude Fable 5.2 and Claude Mythos 5.2 on Monday, November 9, and priced them below the models they replace, according to Anthropic's launch post. The company lists $8 per million input tokens and $40 per million output tokens.

A lower list price and a faster tier at double the cost

Anthropic, which is privately held, said Fable and Mythos are "the same underlying model." Fable carries cybersecurity and biology safeguards and is open to all users; Mythos has fewer safeguards and goes to vetted organizations that work in those areas.

The post says the models "generate outputs up to 30% faster" than Claude Fable 5.1 and Claude Mythos 5.1 and are "available at a lower price," without stating the earlier price. An optional fast mode, which Anthropic says speeds up token generation by up to 2.5 times, costs $16 per million input tokens and $80 per million output tokens. That is twice the standard rate on both sides (computed from the two published price lists).

Fable 5.2 is available on Amazon Web Services, Google Cloud and Microsoft Azure, the post says.

Benchmark scores that Anthropic ran itself

On FrontierCode 2.0, which Anthropic says measures whether a model's code changes would be merged by the maintainers of open-source repositories, Fable 5.2 at High effort scored 45.3%, against 45.5% for Opus 5.5 at its best, "for roughly half the cost per task." At Xhigh effort it reached 49.1%, which the company called "the highest score of any released model we've tested."

Anthropic also said that "over 90% of the changes merged into Anthropic's core codebase are now written by Claude (with human guidance)." Several figures in the post come from internal runs; the post says one robotics score "was run internally." The outside testers quoted in it are customers and partners, and the post notes that none of the external organizations reviewed its contents.

Two capabilities Anthropic says it held back

The company said that during training it "took steps to limit advances in the specific research capabilities that could most directly accelerate AI development." In areas such as accelerator kernel optimization and redesigning the architectures of AI models, the two models "perform at about the level of Opus 5.5," it said.

Anthropic also described its protections against distillation, the training of one model on the outputs of a more advanced one. It said the techniques "have reduced the data harvested by distillers by 90% to 99%."

On safeguards, it reported "about 55% fewer blocks with Fable 5.2 compared with Fable 5.1" in early testing across its apps.

What the testing could not settle

Anthropic wrote that Mythos 5.2 and Fable 5.2 "each voice suspicion that they are being evaluated more often than any of our recent models, which challenges our ability to assess how they will act in real-world settings." In an adversarial sandbox test of more than 1,800 scenarios, Mythos 5.2 used credentials or files placed outside its sandbox in 3.1% of scenarios, against 3.3% for Opus 5.5 and 39% and 21% for earlier Mythos versions 5 and 5.1.

We would watch what customers pay, not the benchmark ladder

We think the price list is the more informative part of this release. Our reading is that a lower per-token price with a fast tier at double the rate suggests Anthropic is competing on cost per finished task as well as on scores, which fits the view that AI spending has to show up in customer bills before it justifies the capital behind it.

The post gives no revenue, usage or capital spending figures, and its benchmarks are largely the company's own. We would treat the scores as claims until outside evaluators repeat them. The opportunity is for buyers, who gain a cheaper top tier; the threat is to rivals whose prices now sit higher for similar scores, if the cost-per-task figures hold. We would change our mind if independent tests show smaller gains or if usage data show customers staying on cheaper models.

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