MYTHOS MYTHOS MYTHOS
TL;DR
Mythos is out, and Fable is the guarded public version: Berman says the only real difference is guardrails, with Mythos aimed at security work and Fable 5 offered broadly as Anthropic's most capable generally available model.
The model feels qualitatively different, not just better on benchmarks: He calls Fable 5 more different than any model he has tested, saying even tiny prompts triggered broad codebase-level exploration and long autonomous runs.
Anthropic is charging frontier prices for frontier tasks: At $10 per million input tokens and $50 per million output tokens, Berman argues Fable is too expensive for routine work but worth it for tasks like Stripe's reported one-day migration of a 50 million-line Ruby codebase that would have taken a team two months.
Fable's biggest quirks are verbosity, density, and endless confirmation loops: He says the model's explanations were so technical he repeatedly edited his Claude.md file to ask for simpler language, and it kept asking clarifying questions before acting.
Workflows mode turns Fable into a parallel agent swarm: In one test, he watched 100-plus sub-agents fan out across a codebase, and in another fluid simulation task it launched 63 agents in parallel while rapidly burning through tokens.
Anthropic's safety posture looks tied to strategy as much as risk: Berman suggests the delayed release and new 30-day retention policy help Anthropic defend against jailbreaks and distillation while preserving its lead over rivals and open source, which he now estimates is closer to a year behind.
The Breakdown
Anthropic publicly released Mythos after calling it too dangerous, and Matthew Berman says it feels like "a new class of artificial intelligence" with a 10 trillion parameter model that treats small coding tasks like massive research projects. His biggest takeaway is not just that Fable 5 is extremely capable, but that paired with workflows and loops, it points to software factories most people still do not grasp.
Was This Useful?
Share
Keep Reading
Make Alcreon Yours
Tune your feedFive quick questions, and the feed ranks what matters to you first.Or just get notified
The weekly Echo. Signal worth keeping in your inbox.
Every new piece, announced on X.
Read Next
See all
Playbook
Tasteful Skills
“Tasteful Skills” argues that the best agent skills are not documentation or best-practice lists.

Playbook
The Art of Tasteful Prompting
Learn how tasteful prompting helps you move beyond generic AI output by shaping context, style, and judgment from the start.

Playbook
The Codex /goal Playbook
OpenAI shipped /goal for the Codex CLI. It turns a prompt into a persisted, self-continuing contract.