Model detail
claude-fable-5
Claude Fable 5 is a Mythos-class model from Anthropic, built for autonomous knowledge work and coding. It supports text, image, and file inputs with text output, with reasoning support and a 1M-token context window. It is suited for long-running, complex, and asynchronous tasks that previously required frequent human check-ins. It is particularly strong at end-to-end work that would otherwise take a person hours, days, or weeks - taking on problems that are long-running, ambiguous, or highly multi-step. It executes well-scoped tasks with few mistakes, automatically self-correcting through verification loops, and ships with robust safeguards.
Model specs
- Context length
- 1M
- Max output
- 128K
- I/O modalities
- Text / Image
- Released
- 2026-06
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API endpoints
One MixRoute gateway, OpenAI-compatible
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Anthropic Messages
/v1/messagesPOST -
OpenAI-compatible
/v1/chat/completionsPOST
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Pricing
Flat rate, unit: /1M Tokens
Input
$10.0000 /1M Tokens
Completion
$50.0000 /1M Tokens
Cache read
$1.0000 /1M Tokens
Cache creation
$12.5000 /1M Tokens
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Selection summary
Quickly judge whether it fits your workload
What is this model good for?
Autonomous knowledge work and coding with 1M context
Use Claude Fable 5 for long-running, complex, and asynchronous tasks. It supports text, image, and file inputs with a 1M-token context window, and self-corrects through verification loops.
What should you check before using it?
Test autonomous task execution and verification
Fable 5 is built for tasks that previously required frequent human check-ins. Test your multi-step workflows and verify the self-correction behavior meets your quality requirements.
Why use it through MixRoute?
Use the compatible endpoint with stable model ID
Use the confirmed compatible endpoint with model ID claude-fable-5 through MixRoute.
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Token cost estimator
Live estimate from this page's pricing, not an actual bill
Share of the same prefix read repeatedly, up to 100%
09
FAQ
Claude Fable 5 is a Mythos-class model from Anthropic, built for autonomous knowledge work and coding. It supports text, image, and file inputs with a 1M-token context window and is suited for long-running, complex, asynchronous tasks.
One endpoint, a testable decision
Test this model and alternate routes with the same request format
Start from a real workload, then let quality, total cost, and failure conditions decide whether to send production traffic.