OpenRouter Adds Anthropic's Claude Fable 5 for Advanced Agentic Coding

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OpenRouter has made Anthropic's Claude Fable 5 model available on its platform. This model is designed for complex, long-running coding and autonomous knowledge work, achieving state-of-the-art performance on various benchmarks. Its availability expands access to a frontier AI model for developers building agentic applications.

OpenRouter has integrated Anthropic's Claude Fable 5 model, described as Anthropic's most capable coding model. This "Mythos-class" model is built for autonomous knowledge work and coding, handling long-running, ambiguous tasks like legacy migrations and complex production bugs that can span hours or days. It supports text, image, and file inputs with text output, and includes reasoning support.
Model Class
Mythos-class
Input Price
$10 per million tokens
Output Price
$50 per million tokens
Context Window
1,000,000 tokens
Max Output Tokens
128,000 tokens
Data Retention
30 days (no ZDR)

The model is noted for its performance on benchmarks, achieving state-of-the-art results across agentic coding, knowledge work, and computer use tasks. Its design for multi-step, asynchronous work with self-correction capabilities positions it for end-to-end projects that previously required frequent human oversight.

Claude Fable 5 is available via OpenRouter's API, with pricing at $10 per million input tokens and $50 per million output tokens. It features a 1M-token context window and a maximum output of 128,000 tokens. Note that zero data retention (ZDR) is not supported for this model due to Anthropic's data retention policy for Mythos-class models.

Claude Mythos 5 and Fable 5 benchmark performance across agentic coding, reasoning, and specialized domain tasks.
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Claude Fable 5 from @AnthropicAI is live on OpenRouter! Anthropic's most capable coding model, built for long-running, ambiguous work: legacy migrations, gnarly production bugs and async sessions that run for hours or days. SOTA on nearly all tested benchmarks. https://t.co/HLL5tyNLaq

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