Developer reports Qwen3.6-35B model running locally on MacBook Pro M5 Max matches Claude's performance with 64K context window

User successfully deployed Qwen3.6-35B with 8-bit quantization on MacBook Pro M5 Max (128GB RAM) via LM Studio and OpenCode

Model demonstrates strong performance on complex coding tasks including multi-step debugging of Android serialization issues with multiple tool calls

Response speed is notably fast and handles long research contexts efficiently, making it suitable as a daily driver replacement for previous Kimi K2.5 setup

Local deployment eliminates privacy concerns about sending proprietary codebases to external AI service providers

Post compares favorably against other tested models including Gemma4s, Qwen3 Coder Next, and Nemotron variants