KAT-Coder model releases

The efficient, ~32B variant of Kwaipilot's KAT-Coder V2.5, optimized through multi-stage training (supervised fine-tuning plus reinforcement learning). Shares KAT-Coder-Pro's 256K-token context and 80K max output, with function calling and tool use for agentic coding, at roughly a fifth of Pro's cost: $0.15 / $0.60 per million input/output tokens. Surfaced on release trackers on July 14 2026.

Kwaipilot's flagship agentic coding model, from the KAT (Kwaipilot Agentic Tuning) series at Kuaishou. A Mixture-of-Experts model with ~72B active parameters, trained through large-scale agentic reinforcement learning in reconstructed, verifiable repository environments. Supports function calling, tool use, structured JSON output, and prompt caching, with a 256K-token context and up to 80K output tokens. Served via API (StreamLake / Atlas Cloud / OpenRouter) at $0.74 / $2.96 per million input/output tokens. Surfaced on release trackers on July 14 2026.