HN read Qwen3.6-27B less as another scorecard win and more as an open coding model people can plausibly run. The comments focused on memory footprint, self-hosting, and the operational simplicity of a dense model.
Cursor has published a technical report for Composer 2, outlining a two-stage recipe of continued pretraining and large-scale reinforcement learning for agentic software engineering. The company says the model reaches 61.3 on CursorBench, 61.7 on Terminal-Bench, and 73.7 on SWE-bench Multilingual while keeping pricing at $0.50/M input and $2.50/M output tokens.