Alibaba released Qwen3.6-27B, a model with 27 billion parameters that beats its predecessor 15 times its size on most coding benchmarks. This efficiency gain proves that architectural refinements can outweigh raw scale. Developers can now deploy high-tier coding capabilities on significantly smaller hardware footprints without sacrificing performance. It is a win for local inference.