Anthropic rolls out public version of Mythos without cybersecurity capability

Published June 10, 2026 Updated June 10, 2026 12:37pm
Anthropic logo in this illustration taken on June 5. — Reuters
Anthropic logo in this illustration taken on June 5. — Reuters

Anthropic is rolling out a public version of its Mythos AI model, but with guardrails barring its use in ​risky areas such as cybersecurity, after an earlier preview this year sent shockwaves globally for its ability to find software flaws.

The new Claude Fable 5 is the most powerful model Anthropic has ever made for wider use, the startup said on ​Tuesday, touting its performance in software engineering and analytics.

Anthropic has so far ​limited its access to a group of about 200 organisations, including ⁠the US government under the Glasswing program, after announcing in April that ​Mythos had uncovered thousands of software vulnerabilities.

Offering its capabilities more widely may allow the $965 ​billion company to extend the momentum that has powered its valuation above rival OpenAI just as the two startups at the centre of the AI industry race to go public.

The ​company said it had done extensive testing to ensure that users could not ​manipulate the new model to bypass its guidelines and perform restricted actions.

“Let’s say I’m a ‌college ⁠student asking the model like help me find cyber vulnerabilities on X package or code. The model would refuse and Fable 5 will fall back to Opus 4.8 for a response,” Dianne Penn, Anthropic’s head of product management, research and ​labs, told Reuters.

Fable ​5 will be ⁠a more expensive model, but it accomplishes tasks with lower token usage, bringing the overall cost per task down, according ​to early customer feedback, Penn said.

Anthropic also said users who ​had access ⁠to the preview version of Claude Mythos, the version without guardrails, would be able to upgrade to the new Claude Mythos 5.

The company said it planned to ⁠expand access ​over time through a more “systematic trusted-access programme”.

Pricing on ​both models is $10 per million input tokens and $50 per million output tokens, the company said.

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