Xiaomi published the weights for MiMo-V2.6-Pro and MiMo-V2.6-Flash, its newest open-weight multimodal models, alongside the reinforcement-learning machinery used to build them — a materially broader disclosure than a typical API launch. Both models accept text, images, video and audio with a claimed 1-million-token context window: Pro is a sparse mixture-of-experts with 1.02 trillion total parameters (42 billion activated per token), Flash lists 309 billion total with 15 billion activated.

The release package includes a technical report, deployment instructions and RL system details, and Xiaomi says it is also open-sourcing the training environments and RL code needed to examine and reproduce the work — though serving models this size still requires distributed multi-GPU inference. Xiaomi is also offering a hosted MiMo-V2.6-Pro-UltraSpeed tier it claims generates output up to 20x faster than standard Pro service at the same quality, and the models are listed for hosted access on OpenRouter.

Fresh third-party validation (Sept 22): Artificial Analysis scores MiMo-V2.6-Pro at 46 on its Intelligence Index v4.3.2 — the highest open-weights result on that leaderboard, ahead of Z.AI's GLM-5.3 (45) and Kimi K3 (44). Xiaomi claims a 46.32 and calls the model 'the strongest open-source model to date,' keeping the V2.5 series' API pricing — which it says pushes the intelligence-versus-cost Pareto frontier outward. Among proprietary systems, the same index lists Grok 4.7 at an identical 46, putting the open model level with xAI's flagship on this benchmark.