Side-by-side comparison of Llama 3.1 8B Instruct (Meta Platforms · United States) and MiMo-V2.5-Pro (Xiaomi (MiMo)) for self-hosted deployment of the open-weight model. Llama 3.1 8B Instruct is rated conditional; MiMo-V2.5-Pro is conditional. They part ways on licence: Llama 3.1 8B Instruct is "Llama 3.1 Community Licence", MiMo-V2.5-Pro is "MIT".
| Field | ||
|---|---|---|
| Summary | ||
| Verdict | Conditional Per current documentation, Llama 3.1 8B Instruct is released under the Llama 3.1 Community Licence — a custom source-available licence rather than OSI open source. Commercial deployment is permitted below 700M MAU subject to the Acceptable Use Policy and attribution rules, but training-data opacity and US origin create EU AI Act transparency and data-transfer gaps that deployers should document. | 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. |
| Last reviewed | 2026-04-17 | 2026-04-28 |
| Open-weight | ||
| Licence | Llama 3.1 Community Licence | MIT |
| Commercial use | Restricted (MAU cap + AUP) | Unrestricted |
| Training data | Token count only | Categories only |
| Origin | United States | China |
| Performance & pricing? | ||
| Quality index | 12/100 | 54/100 |
| Speed | 160 tok/s | 65 tok/s |
| Blended price | $0.10/M | $1.50/M |
| Context window | — | — |
| Evidence | ||
| Sources | ||
No overlapping sources between the two entries.