Claude Fable 5.2 and Mythos 5.2 launched: Anthropic claims breakthrough in coding, robotics and scientific research

Anthropic has launched Claude Fable 5.2 and Mythos 5.2, featuring up to 30% faster output generation and improvements in coding, reasoning, robotics and scientific research.

Anthropic has unveiled two new AI models—Claude Fable 5.2 and Claude Mythos 5.2— optimized for complex coding, scientific research, engineering and cybersecurity tasks. The models announced yesterday offer developers, researchers and organisations tools to solve more complex problems that demand advanced reasoning and autonomous operation. The new models can be accessed via Anthropic's platforms, with Mythos available only to approved organisations in the cybersecurity and life sciences sectors.

According to Anthropic, the models can generate outputs up to 30% faster than their predecessors, Claude Fable 5.1 and Claude Mythos 5.1. The company has also lowered their prices to $8 per million input tokens and $40 per million output tokens. For setups with more tokens, the optional Fast Mode can boost the number of tokens generated by up to 2.5 times, but at a higher cost.

Claude Fable 5.2 and Mythos 5.2: What's new?

The two models share the same underlying architecture but have different safety restrictions, Anthropic says. Cybersecurity and biology protections are incorporated into Claude Fable 5.2, which the general public can use. Claude Mythos 5.2 is designed for trusted organisations engaged in cutting-edge cybersecurity and biomedical research.

According to the company, Fable 5.2 has surpassed Claude Opus 5.5 on most of the benchmarks it has been tested on. On FrontierCode 2.0, it achieved 49.1% at the X-high effort level, while Opus 5.5 achieved 45.5%. It also achieved a high success rate on the RoboDojo robotics benchmark, at 64.9%.

AI model demonstrates advanced coding and scientific research

In another test, the model has assisted in developing a working operating system from scratch in eight days, with the help of over 1,000 AI agents.

Pragya Singha Roy