
Anthropic launched two new AI models. Fable 5.1 is cheaper and stronger than its predecessor.
It also has more precise safeguards and better data retention options.
Mythos 5.1 is available only to Project Glasswing participants.
What happened
Anthropic has launched two new AI models, Fable 5.1 and Mythos 5.1. Fable 5.1 is about 25 percent cheaper typically and up to 45 percent cheaper for complex agentic tasks, while offering stronger performance than Fable 5.
Why it matters
The new models address customer criticisms about price, data retention, and overzealous safeguards. Early users like Every CEO Dan Shipper praise the model's speed and natural language, while Box CEO Aaron Levie says its agent picked up on subtleties in data that Fable 5 missed.
What to watch
Fable 5.1 is available on all platforms, while Mythos 5.1 is limited to Project Glasswing participants. Enterprise Frontier Safeguards, which store data on customer cloud servers, will roll out later this fall.
Ask the AI about this article →
The launch of Fable 5.1 and Mythos 5.1 is a direct response to customer feedback about price, data retention, and overly strict safety filters. The lower pricing on cached data processes addresses cost complaints without sacrificing performance, which early impressions from notable figures like Dan Shipper and Aaron Levie suggest is improved. The more precise safeguards aim to reduce unnecessary blocks on legitimate queries, while still maintaining restrictions on sensitive topics like biology, and cybersecurity tasks involving exploit generation are still routed to Opus models.
Anthropic is also addressing data privacy with Enterprise Frontier Safeguards, which store data on the customer's cloud servers instead of its own, offering complete privacy. This feature is scheduled to roll out later this fall, which may appeal to enterprise customers with strict data handling requirements. The company's statement that Fable 5.1 is now allowed for identifying software vulnerabilities while other cybersecurity tasks use Opus models shows a nuanced approach to safety, though the practical implications remain to be seen.
For example, today's edition would include:
AI-summarized, only the topics you pick — one digest a day via Email, Slack, or Discord.
Free · takes 30 seconds · unsubscribe anytimeWhat is AIToday? →
Ask AI anything about this article. Q&As are published on this page for other readers too.
CrowdStrike extends its Falcon platform to police AI agents at the endpoint, treating each agent as an asset w…
PlayNitride Inc., a Micro LED maker, expects its technology to enter commercial optical communications applica…

McKinsey's 2025 survey found that while 65% of companies continuously use generative AI, fewer than 5% have ac…

Anthropic announced Enterprise Frontier Safeguards (EFS) on September 1, offering enterprise customers privacy…

New Goldman Sachs analysis finds that currencies of South Korea, Taiwan, and Malaysia are outperforming those…

A technical explainer compares three LLM serving strategies—static, dynamic, and continuous batching
