Pyyan / Compare / Phi-4-mini vs MiMo-V2.6-Pro
Phi-4-mini vs MiMo-V2.6-Pro
2 of 5Open-Weight Models · verified 29 Sept 2026
Phi-4-miniMicrosoftcurrentXMiMo-V2.6-ProXiaomicurrent
| Specification | Phi-4-mini | MiMo-V2.6-Pro |
|---|---|---|
| Summary | Best small reasoner for 8GB machines. | A trillion parameters under the MIT licence. |
| Context | — | 1M |
| Input ($/Mtok) | — | Weights only |
| Output ($/Mtok) | — | Weights only |
| Licence | MIT | MIT |
| Max output | — | Not published |
| Parameters | 3.8B | 1.02T total, 42B active |
| Released | — | 21 Sep 2026 |
| Model ID | — | XiaomiMiMo/MiMo-V2.6-Pro |
| Category | Open-Weight Models | Open-Weight Models |
| Official | Microsoft ↗ | Xiaomi ↗ |
Highlighted rows are where these differ.
MiMo-V2.6-Pro
- 1.02T total parameters, 42B active per token, a 4.1% activation ratio
- Text, image, video and audio in, with a 1M token context
- Shipped with 7,000+ reinforcement learning environments and the framework that trained it
Best for multimodal work on your own cluster.