Qwen3.6-35B-A3B targets Mac coding workflows

For this setup, this is probably the right class of model to try first, because it balances local practicality with enough coding quality to be useful.

• –Qwen3.6-35B-A3B is open-weight and explicitly aimed at agentic coding, which fits web/mobile app execution work better than a generic chat model.
• –Apple Silicon support is a real advantage here: official docs call out MLX and llama.cpp, so a Mac-local workflow is not an edge case.
• –On 64GB unified memory, a quantized deployment is realistic, which makes this far more workable than larger dense models.
• –Keeping Claude for architecture and review is a sensible split: use the local model for generation and iteration, and Claude for audit and final judgment.
• –If latency becomes the bottleneck, a smaller Qwen coding model is the natural fallback; if quality matters more, stay in this 35B-class sparse MoE range.