Community highlights performance of KAT Coder 2.5 dev model for local coding tasks

A Reddit user shared their benchmarking results and configuration for the newly released "KAT-Coder-V2.5-Dev" model, highlighting its superior speed and accuracy in local coding tasks. The model is a 35B parameter Mixture-of-Experts (MoE) model developed by Kwaipilot for autonomous software engineering. As local LLMs become more capable, developers are seeking efficient, agentic models that can run on consumer hardware. KAT-Coder-V2.5-Dev offers a high-performance alternative for local coding environments, potentially reducing dependency on proprietary cloud APIs. The model features a Mixture-of-Experts architecture with 35 billion total parameters, but only activates 3 billion parameters per token, making it highly efficient. The user shared their setup using llama.cpp and OpenCode, noting that the model requires fewer tokens and runs significantly faster than comparable models like Qwen.