Side-by-side comparison of Llama 3.1 8B Instruct (Meta Platforms · United States) and MiMo-V2.5 (Xiaomi (MiMo)) for self-hosted deployment of the open-weight model. Llama 3.1 8B Instruct is rated conditional; MiMo-V2.5 is conditional. They part ways on licence: Llama 3.1 8B Instruct is "Llama 3.1 Community Licence", MiMo-V2.5 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 MiMo-V2.5 is the omnimodal sibling of MiMo-V2.5-Pro — text, vision, audio, and video on a single sparse-MoE backbone, also under MIT. Same posture as the Pro: deployable weights, but the China origin and stage-level training disclosure mean any EU rollout needs self-hosting plus a deployer-prepared GPAI compliance file, with extra attention to Article 50 transparency for synthetic and biometric outputs. |
| 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 | 49/100 |
| Speed | 160 tok/s | — |
| Blended price | $0.10/M | — |
| Context window | — | — |
| Evidence | ||
| Sources | ||
No overlapping sources between the two entries.