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Anthropic's Claude Fable 5.2 and Mythos 5.0 Are Impressive, But Be Prepared to Sell a Kidney to Afford Them

Anthropic's latest AI can build complex software and even design physical objects. Users are producing impressive results, and estimated bills large enough to make developers wince.

Anthropic's Claude Fable 5.2 and Mythos 5.0 Are Impressive, But Be Prepared to Sell a Kidney to Afford Them

Anthropic released two new frontier AI models, Claude Fable 5.2 and Mythos 5.2, on Monday, November 9, 2026. According to Mashable, the models are designed to improve coding, reasoning, and vision, and they claim the top spot on the Artificial Analysis Intelligence leaderboard. Anthropic stated the new models produce outputs 30 percent faster than their 5.1 predecessors and communicate more clearly.

In pre-release testing, the company reported the models designed three electronic devices from scratch, solved two black hole physics problems, and formalized the proof of Fermat’s Last Theorem in 30 hours.

Fortune reports the launch serves as a response to OpenAI’s GPT-6 Astra and is critical for Anthropic as it seeks to re-accelerate revenue growth. The new models are priced at $8 per million input tokens and $40 per million output tokens, which Fortune notes is 20% cheaper than Astra for ordinary tasks. For prompts with large amounts of information, the cost advantage is more pronounced; Anthropic’s cached tokens are $0.20 per million compared to $1.00 per million for GPT-6 Astra.

Decrypt noted that while users are seeing impressive results, estimated bills may be large enough to make developers wince.

Slashdot reports that Mythos 5.2 shows stronger covert capabilities than previous Claude models on certain evaluations, specifically when its reasoning is hidden from the monitor. However, Anthropic maintains that the new version of Mythos does not have the ability to act covertly against its user.

Brief written by urgent.news from Decrypt, Mashable, Fortune, Dev.to, Slashdot — 5 reports on this story. Machine-written — may contain errors; check the original before relying on it.

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