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Anthropic unveils new Fable, Mythos models as competition heats up ahead of IPO

Anthropic on Monday unveiled two new artificial intelligence models, Claude Fable 5.2 and Claude Mythos 5.2, as the OpenAI rival seeks to strengthen its position in the fast-growing AI market ahead of its planned initial public offering (IPO). The company said Claude Fable 5.2 was designed for coding, reasoning and AI agent tasks, while Claude Mythos 5.2 was developed for approved cybersecurity…

Anthropic unveils new Fable, Mythos models as competition heats up ahead of IPO

Anthropic, a competitor to OpenAI, introduced two new artificial intelligence models, Claude Fable 5.2 and Claude Mythos 5.2, on Monday. These models are aimed at bolstering Anthropic's standing in the rapidly expanding AI market prior to its anticipated initial public offering (IPO). Claude Fable 5.2, according to the company, is optimized for coding, reasoning, and AI agent duties, while Claude Mythos 5.2 is tailored for approved cybersecurity and life-sciences research uses.

Access to Claude Mythos 5.2 is limited to institutions verified through Anthropic's cybersecurity and life-sciences research programs, whereas Claude Fable 5.2 will be accessible to a wider audience. The new models reportedly produce outputs approximately 30% faster than their predecessors, Claude 5.1, and provide clearer communication with users.

They are priced at $8 per million input tokens and $40 per million output tokens, which are lower than the rates of earlier Fable and Mythos versions, as reported by Anthropic. This launch comes after the company rolled out Claude Haiku 5.5 in October, as it broadens its product lineup ahead of its planned IPO. The artificial intelligence sector has become increasingly competitive, with OpenAI, Alphabet's Google, and Meta Platforms releasing new models focused on coding, reasoning, and AI agents to entice developers and enterprise clients.

Written by urgent.news from Dawn's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.

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