Anthropic Releases Claude Opus 5 with Distilled Fable-Level Performance
Anthropic has introduced Claude Opus 5, which achieves the performance level of their advanced Claude Fable model at the price point of the Opus tier, effectively halving the cost of Fable-level capabilities. This was achieved through Anthropic's advanced model distillation techniques. This release makes state-of-the-art, long-horizon problem-solving capabilities significantly more accessible and cost-effective for developers. It highlights the growing importance of knowledge distillation in making frontier AI models commercially viable. Claude Fable 5 is a Mythos-class model known for leading benchmarks like CursorBench, and Opus 5 delivers this level of performance at half the price. Distillation allows the student model (Opus 5) to mimic the reasoning steps and output distribution of the teacher model (Fable 5).
## BACKGROUND
Knowledge distillation in large language models (LLMs) is a technique where a smaller, more efficient "student" model is trained to replicate the behavior and reasoning of a larger, more capable "teacher" model. Anthropic's Claude Fable 5 is a high-end model designed for complex, long-horizon tasks. By distilling Fable's capabilities into Opus 5, Anthropic can offer high-tier performance at a fraction of the computational cost and price.