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Anthropic releases Claude Fable 5.2 and restricted Mythos 5.2

Original title: Anthropic sharpens AI coding and security capabilities with Mythos 5.2

CSO Online ()3 min read1
Part of a story covered by 15 sourcesAnthropic releases Claude Fable 5.2 and restricted Mythos 5.2Merged summary & timeline
AI summary · x-ai/grok-4.7Summaries by Vani AI

API prices fall 20% to $8 and $40 per million tokens, while Mythos access stays limited to vetted organizations.

Anthropic introduced Claude Fable 5.2 and Mythos 5.2, which share a model but use different safeguards. Fable is broadly available; direct Mythos access is limited to vetted cybersecurity and life sciences organizations, though Claude Enterprise customers can use its vulnerability detection through Claude Security. Anthropic says prices dropped from $10 and $50 to $8 per million input tokens and $40 per million output tokens, with output up to 30% faster. It reports Fable 5.2 at 49.1% on FrontierCode 2.0 versus 32.4% for Fable 5.1, and Mythos 5.2 rediscovering 89.6% of 1,829 previously disclosed flaws versus 78.3%. Eligible customers can keep zero data retention; others face 30-day retention for safety monitoring.

Unconfirmed: Benchmark gains and speed claims are Anthropic’s own figures, not independent results.

Key facts
  • FrontierCode 2.0 rose from 32.4% for Fable 5.1 to 49.1% for Fable 5.2.
  • Mythos CVE rediscovery rose from 78.3% to 89.6% on 1,829 flaws.
  • Anthropic still recommends Opus 5.5 for most coding and knowledge work.
  • Enterprise Frontier Safeguards are in private beta for on-infrastructure monitoring.
  • An internal test had Fable coordinate more than 1,000 subagents over eight days.
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From the original article

3 min read at csoonline.com

Anthropic has introduced Claude Fable 5. 2 and Mythos 5. 2, claiming significant improvements in handling complex software engineering tasks while cutting API prices by 20% compared with the previous versions.

A short excerpt; the article and its images belong to the publisher. Summary, key facts and assessment above are AI-written from the article and can be wrong.