Pyyan / Compare / Hy4 preview vs MiMo-V2.6-Pro
Hy4 preview vs MiMo-V2.6-Pro
2 of 5Open-Weight Models · verified 29 Sept 2026
Hy4 previewTencentcurrentXMiMo-V2.6-ProXiaomicurrent
| Specification | Hy4 preview | MiMo-V2.6-Pro |
|---|---|---|
| Summary | 770B parameters under Apache 2.0, and it helped optimise its own training. | A trillion parameters under the MIT licence. |
| Context | 1M | 1M |
| Input ($/Mtok) | $0.834 | Weights only |
| Output ($/Mtok) | $2.501 | Weights only |
| Licence | Apache 2.0 | MIT |
| Max output | 64K | Not published |
| Parameters | 770B total, 49B active | 1.02T total, 42B active |
| Released | 28 Aug 2026 | 21 Sep 2026 |
| Model ID | tencent/Hy4-preview | XiaomiMiMo/MiMo-V2.6-Pro |
| Category | Open-Weight Models | Open-Weight Models |
| Official | — | Xiaomi ↗ |
Highlighted rows are where these differ.
Hy4 preview
- 770B total parameters with 49B active, 78 layers, 256 routed experts plus one shared
- Apache 2.0, with an FP8 quantised build shipped alongside it
- Tencent used it during its own development, and report a 31.8% inference throughput gain from it
Best for the largest open weights.
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.