MiniMax releases M2.7: a "self-evolving" proprietary model
Chinese AI startup MiniMax released M2.7, a proprietary reasoning model designed for powering AI agents. The defining feature: M2.7 was used to build, monitor, and optimize its own reinforcement learning harnesses, handling 30-50% of its own development workflow. On MLE Bench Lite, it achieved a 66.6% medal rate, tying with Gemini 3.1. MiniMax becomes the second Chinese startup (after z.ai with GLM-5 Turbo) to shift from open-source to proprietary frontier models. The self-improvement loop is the story to watch: if models can meaningfully accelerate their own training, the pace of capability gains will compound.