Anthropic confirms Claude Mythos-class models will roll out to the public

Recorded: May 29, 2026, 1 a.m.

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HomeNewsArtificial IntelligenceAnthropic confirms Claude Mythos-class models will roll out to the public

Anthropic confirms Claude Mythos-class models will roll out to the public

By Mayank Parmar

May 28, 2026
08:21 PM
0

Anthropic has confirmed that it plans to bring Mythos-class models to the general public after delaying the rollout due to security risks to public and private software.
Mythos was announced in April as a restricted model and was made available only to select companies, including security researchers.
At that time, Anthropic cited major "security" risks with the Mythos model and decided against a public rollout.
"The advantage will belong to the side that can get the most out of these tools," Anthropic warned in April when it announced the Mythos model.
"In the short term, this could be attackers, if frontier labs aren’t careful about how they release these models. In the long term, we expect it will be defenders who will more efficiently direct resources and use these models to fix bugs before new code ever ships."
AI companies typically avoid rolling out powerful models until they develop strong guardrails that prevent misuse.
It appears that Anthropic has managed to develop strong guardrails to prevent misuse of the Mythos model, which is believed to be far more powerful than Opus 4.8 and other models available on the internet.
Anthropic prepares roll out of Mythos model
In a blog post, Anthropic confirmed that it plans to release Mythos-class models to the public in the coming weeks, but it has not committed to a specific timeframe.
"We’re making swift progress on developing these safeguards and expect to be able to bring Mythos-class models to all our customers in the coming weeks," Anthropic said in a blog post.
Anthropic says it is already allowing a small number of organizations to use Claude Mythos preview for cybersecurity work, but it is unclear if the same model will be rolled out to the public.
According to the company, the Mythos model shows major improvements in code reasoning and autonomy, far above Claude's current flagship model, Opus 4.8.
It is also worth noting that the "Mythos-preview" model briefly appeared for some users on Claude Code before it was taken offline.

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Mayank Parmar
Mayank Parmar is an technology entrepreneur who is currently pursuing an MBA. At BleepingComputer, he covers technology news with a strong focus on Microsoft and Windows-related stories. He is always poking under the hood of Windows, looking for the latest secrets to reveal.

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Anthropic has confirmed its intention to release Mythos-class models to the general public, a rollout that had been postponed due to concerns regarding security risks to public and private software. Previously, the Mythos model was announced in April as a restricted entity, accessible only to select organizations, including security researchers. When the model was initially introduced, Anthropic cautioned that the advantage of these powerful tools would ultimately belong to those who could utilize them most effectively, warning that in the short term, this could pose risks to attackers, and in the long term, it could empower defenders to more efficiently direct resources to fix bugs before new code deployment.

The company managed to develop robust safeguards intended to prevent the misuse of the Mythos model, which is reported to possess capabilities significantly surpassing those of Claude's current flagship model, Opus 4.8. Anthropic indicated in a blog post that they are making rapid progress in establishing these necessary safeguards and anticipate bringing the Mythos-class models to all customers in the coming weeks, although no specific timeline has been committed. Furthermore, the company noted that they are already permitting a limited number of organizations to use the Claude Mythos preview for cybersecurity work, though the status of this preview model's public availability is not explicitly detailed. The Mythos model demonstrates significant advancements in code reasoning and autonomy compared to existing models.