Qwen3.8-35B Distill pushes 50 tok/s on RTX 3060

This is a striking local-inference result, but the headline depends heavily on quantization, runtime, and benchmark conditions.

• –The 35B MoE activates only about 3B parameters per token, making high decode speed feasible on budget hardware.
• –Q4_K_M quantization and llama.cpp are doing substantial work; performance will vary with context length, prompt shape, and system configuration.
• –A 262K context window is technically useful, but maintaining speed at extreme context lengths remains the harder test.
• –The model’s third-party distillation status means developers should validate coding quality and tool use instead of assuming official Qwen3.8 parity.
• –This makes affordable local coding assistants considerably more practical for developers who prioritize privacy and predictable hardware costs.