Alibaba's Qwen3.6-35B-A3B activates only three billion parameters per token, yet beats Google's larger Gemma 4-31B on coding and reasoning benchmarks. This efficiency stems from its mixture-of-experts architecture. The result proves that sparse activation can outperform dense models. Developers now have a more efficient open-source option for complex agentic workflows.