“MiMo-V2.6 Scaling Reinforcement Learning Towards Self-Improvement” Xiaomi MiMo just completed their largest RL scaling run so far, openly. And it came along with a technical report, outlining how they've scaled RL across compute, environments, and grading. tl;dr The run costs $2.6M for Pro and $0.9M for Flash, with ~44% spent on rollouts, 41-44% on training, and 14% on grading. Each RL step uses 1,568 prompts x 16 rollouts, producing ~25K trajectories and 2.7-3.7B tokens, with contexts…