Agents
Anthropic's most capable widely released model, launched June 9, 2026 as the first Mythos-class model available for general use, with a 1M-token context window and up to 128K output tokens at $10 per million input and $50 per million output tokens.
Anthropic's most capable widely released model, launched June 9, 2026 as the first Mythos-class model available for general use, with a 1M-token context window and up to 128K output tokens at $10 per million input and $50 per million output tokens. Its lead grows the longer and more complex the task, making it a strong driver for long-horizon agent runs. Its model ID is claude-fable-5, thinking is always on, and the effort parameter replaces the old sampling and budget_tokens dials.
Example
In practice, developers reach for Fable 5 when they need the capability described above as part of an AI feature or workflow.
Hands-on guides, comparisons, and tutorials that cover Agents.
FAQ
Anthropic's most capable widely released model, launched June 9, 2026 as the first Mythos-class model available for general use, with a 1M-token context window and up to 128K output tokens at $10 per million input and $50 per million output tokens.
Fable 5 sits in the Agents part of the AI stack. Understanding it helps you make better decisions when building, debugging, and shipping AI features.
Developers Digest publishes tutorials and videos that cover Agents topics including Fable 5. Check the blog and YouTube channel for hands-on walkthroughs.
Related
A limit on how many tokens a model or agent may spend on a task, used to control cost and stop long runs from sprawling.
A multi-agent mechanism where one agent passes control of the conversation to a more specialized agent, rather than calling it as a subroutine.
A flow-control mechanism that prevents an agent pipeline from overwhelming downstream systems.

New tutorials, open-source projects, and deep dives on coding agents - delivered weekly.