Anthropic Launches Claude Fable 5.2 and Mythos 5.2: Up to 30% Faster, $8 per Million Input Tokens

Photo: TechCrunch / Wikimedia Commons / CC BY 2.0 (cropped)
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Photo: TechCrunch / Wikimedia Commons / CC BY 2.0

SAN FRANCISCO – Anthropic on Monday released Claude Fable 5.2 and Claude Mythos 5.2, upgraded versions of its Fable and Mythos AI models, saying they are up to 30% faster than the 5.1 versions and cost less. Pricing is $8 per million input tokens and $40 per million output tokens. An optional fast mode, which the company says speeds up generation by up to 2.5 times, costs $16 and $80.

The two are the same underlying model, the company said. Fable has strong cybersecurity and biology safeguards and is available to all users today, including on Amazon Web Services, Google Cloud and Microsoft Azure. Mythos is limited to vetted organizations that apply through the company’s cyber and life sciences verification programs. Anthropic says Fable 5.2 produces fewer unnecessary blocks than 5.1.

Anthropic reported gains over its prior models and its Opus 5.5 model across coding, reasoning, computer use and science benchmarks. It said Fable 5.2 scored 49.1% on the FrontierCode 2.0 coding test at its highest setting, the best score of any released model it has tested, and 74.2% on Humanity’s Last Exam with tools. It also said engineers used the model during testing on software migrations, electronics design and physics problems. All of these results come from the company’s own testing, and they have not been independently verified.

Why it matters: faster, cheaper top-tier models raise the pressure on rivals and lower the cost of heavy AI work for businesses. Splitting access between a public model and a restricted one also shows how the company is handling security and biology risks. Still unknown: how the models perform outside the company’s own benchmarks, and how quickly customers move over from earlier versions.

File photo: Anthropic CEO Dario Amodei at a 2023 event, cropped. It is not a picture of the new models.

JBizNews Desk | San Francisco

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