MiMo-V2.6
Xiaomi's open-weight omnimodal flagship, the top-scoring open-weight model on Artificial Analysis at launch.
Overview
Xiaomi released and open-sourced the MiMo-V2.6 series on September 22, 2026: MiMo-V2.6-Pro (its most capable model to date) and MiMo-V2.6-Flash, plus a MiMo-V2.6-Pro-UltraSpeed variant delivering up to 20x faster output at similar quality. The flagship MiMo-V2.6-Pro-RL checkpoint is a sparse Mixture-of-Experts model with 1.02 trillion total parameters (42B active per token), a 1M-token context length, and text/image/video/audio input with text output. Artificial Analysis scored it 46 on its Intelligence Index, the highest open-weight result on that leaderboard at the time. Xiaomi says it trained the model in under six days for about $2.62 million; Pro and Flash weights are released under the MIT license.
This is a sourced directory entry. Features and capabilities are reported in the linked sources; this entry does not document independent Aymorphic testing.
Key features
- 1.02T total parameters, 42B active per token (sparse MoE)
- 1M-token context window
- Omnimodal input (text, image, video, audio), text output
- MIT license for Pro and Flash weights
- UltraSpeed variant: up to 20x faster output at similar quality
- Trained in under 6 days for about $2.62M
Use cases
- High-throughput omnimodal agent deployment
- Cost-efficient frontier-class open-weight inference
Pricing
MIT license, weights free (Pro and Flash); UltraSpeed variant's licensing unconfirmed.
Pricing reflects the source record and may change. Confirm current terms with the provider.
Dates and sources
- Released
- 22 Sept 2026
- Record updated
- 23 Sept 2026
- Record last checked
- 23 Sept 2026