#coding-model

The draw for LocalLLaMA was not just another coding model, but Cohere asking the local-inference crowd to test pre-release weights first.

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.