MiMo-V2.6-Pro — reviews, specs & pricing
Xiaomi's MIT-licensed flagship open-weight MoE: 1.02T total / 42B active parameters, 1M-token context and native text, image, video and audio input. Shipped with 7,000+ open reinforcement-learning environments.
Summary
Xiaomi's MiMo-V2.6-Pro is a flagship, MIT-licensed Mixture-of-Experts (MoE) model boasting 1.02 trillion total parameters with 42 billion active. This open-weight powerhouse supports a massive 1-million-token context window alongside native multimodal capabilities across text, image, video, and audio inputs. To accelerate agent training, it uniquely ships with over 7,000 built-in reinforcement learning environments.
Sample use case
An industrial robotics manufacturer can leverage MiMo-V2.6-Pro to develop and train autonomous warehouse robots. By utilizing the model's 7,000+ pre-packaged reinforcement learning environments alongside native video, audio, and sensor text inputs, engineers can train physical agents to navigate dynamic spaces and respond to verbal instructions. The massive 1M-token context window additionally allows the system to ingest hours of continuous operational logs and video footage to troubleshoot mechanical failures on the fly.
Specifications
- Provider: xiaomi
- License: open
- Parameters: 1020B
- Context: 1000k tokens
- Released: 2026-09-22
Pros
- Permissive MIT open-source license
- Massive 1M-token context window
- 7,000+ integrated RL environments
- Native text, image, video, and audio inputs
Cons
- Extensive hardware needed for 1.02T parameter storage
- High memory overhead during long-context inference
- Complex orchestration for MoE deployments
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