after three more weeks of RL since its public preview, "Le Chonk" leads open-weight coding (FrontierCode 2.0 19.7%, Terminal-Bench 4.0 41% after a 13-point jump), ties GLM-5.3 on the Artificial Analysis Coding Agent Index at 48% while using 47% fewer tokens per task, and resists 97.1% of attacks on the B3 agent-security benchmark. Weights are on Hugging Face under a modified-MIT license (free to use, modify, fine-tune and commercialize; model-as-a-service resellers need a separate license), self-hostable via vLLM/SGLang, with API pricing at $0.70 / $2.10 per million input/output tokens and three reasoning modes (Low/Medium/High).