About the product
KAT-Dev-72B-Exp is an experimental, large-scale 72-billion-parameter language model specialized for software engineering, developed by Kwaipilot under Kuaishou. It is designed as a reinforcement learning (RL) enhanced version of the KAT-Coder series, featuring a redesigned attention kernel and training engine optimized for efficient context-aware RL. The model achieved a state-of-the-art performance of 74.6% accuracy on the authoritative SWE-Bench Verified benchmark, ranking first among open-source code models as of 2025.
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