Side-by-side comparison of MiMo-V2.5-Pro (Xiaomi (MiMo)) and Llama 3.1 Nemotron 70B (NVIDIA · USA) for self-hosted deployment of the open-weight model. MiMo-V2.5-Pro is rated conditional; Llama 3.1 Nemotron 70B is conditional. They part ways on licence: MiMo-V2.5-Pro is "MIT", Llama 3.1 Nemotron 70B is "Llama community".
| Field | ||
|---|---|---|
| Summary | ||
| Verdict | Conditional Per the published LICENSE file, MiMo-V2.5-Pro ships under MIT, so the weights themselves carry no commercial restriction. The remaining EU-readiness gaps are the China-based vendor and the corpus disclosure that names training-stage categories (text pre-training, multimodal pre-training, SFT, RL, MOPD) without listing datasets — both should be addressed in any GPAI deployer file before regulated use. | Conditional NVIDIA's Llama 3.1 fine-tune with custom RLHF. Inherits Llama 3.1 Community License terms. Strong conversational quality; useful default when you want Llama behaviour with NVIDIA's alignment. |
| Last reviewed | 2026-04-28 | 2026-04-15 |
| Open-weight | ||
| Licence | MIT | Llama community |
| Commercial use | Unrestricted | With caps |
| Training data | Categories only | Partial |
| Origin | China | USA |
| Performance & pricing? | ||
| Quality index | 54/100 | 13/100 |
| Speed | 65 tok/s | 42 tok/s |
| Blended price | $1.50/M | $1.20/M |
| Context window | — | — |
| Evidence | ||
| Sources | ||
No overlapping sources between the two entries.