MiMo-7B-RL
Xiaomi’s first open reasoning model, exploring the full pretraining-to-RL path at 7B scale.
FAMILY / XIAOMI MIMO
Xiaomi’s family spanning a 7B reasoning model through trillion-parameter, multimodal, 1M-context agents.
01 / RELEASE SEQUENCE
02 / GENERATIONS
Xiaomi’s first open reasoning model, exploring the full pretraining-to-RL path at 7B scale.
Used hybrid sliding-window attention and MTP for faster long-context coding and agents.
Unified text, vision, and speech perception with tools and GUI control in one agent foundation.
A trillion-parameter, 42B-active agent flagship with a 1M context window.
MiMo’s current general model combining native full-modal understanding, 1M context, and agent execution.
The high-intensity MiMo-V2.5 agent tier for long-range reasoning, coding, and complex-task efficiency.
This is MiMo’s preview step from open models and APIs toward long-chain desktop delivery; Xiaomi has not announced either Preview tier as public GA or open weights.
MiMo-V2.6 turns the previously public reinforcement-learning runs into a formal API, desktop product, and full open-weight release, while also sharing RL environments, the training framework, and Distill-Qwen-9B resources.
Flash brings V2.6 native multimodality and RL capability to high-throughput APIs and everyday multimodal workflows.
Pro exposes MiMo-V2.6’s large-scale RL post-training as a standalone flagship API and open-weight model.
UltraSpeed records Pro’s capability with a separate serving-speed tier, avoiding a claim of a new base-model weight release.