Qwen 3.6 MoE dominates 10GB VRAM coding

The Qwen 3.6-35B-A3B model outperforms dense 14B models in tool-calling reliability for multi-file refactoring tasks via Cline. Optimal parameters for a 10GB RTX 3080 require 4-bit KV cache quantization and Flash Attention to fit a 32k context window without PCIe bottlenecks. While the MoE is more capable, the dense 14B Coder variant remains better for users prioritizing tokens-per-second. Refinements in the 3.6 update have also improved thinking preservation to reduce looping in agentic workflows, especially when using hardware-tuned forks like Roo Code.