Side-by-side comparison of Llama 3.1 8B Instruct (Meta Platforms · United States) and MiniMax M2 (MiniMax · China) for self-hosted deployment of the open-weight model. Llama 3.1 8B Instruct is rated conditional; MiniMax M2 is conditional. They part ways on licence: Llama 3.1 8B Instruct is "Llama 3.1 Community Licence", MiniMax M2 is "Modified 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 229B agent-focused model from MiniMax, Modified MIT. Strong software-engineering and tool-use benchmarks. Family has iterated fast (M2 / M2.1 / M2.5 / M2.7 across 2025-2026). Same Chinese-origin alignment and supply-chain considerations as DeepSeek, Qwen, Kimi. |
| Last reviewed | 2026-04-17 | 2026-04-16 |
| Open-weight | ||
| Licence | Llama 3.1 Community Licence | Modified MIT |
| Commercial use | Restricted (MAU cap + AUP) | Yes |
| Training data | Token count only | Undisclosed |
| Origin | United States | China |
| Performance & pricing? | ||
| Quality index | 12/100 | 36/100 |
| Speed | 160 tok/s | 72 tok/s |
| Blended price | $0.10/M | $0.53/M |
| Context window | — | — |
| Evidence | ||
| Sources | ||
No overlapping sources between the two entries.