Side-by-side comparison of DeepSeek-V4-Flash (DeepSeek · China) and Llama 3.1 8B Instruct (Meta Platforms · United States) for self-hosted deployment of the open-weight model. DeepSeek-V4-Flash is rated conditional; Llama 3.1 8B Instruct is conditional. They part ways on licence: DeepSeek-V4-Flash is "MIT", Llama 3.1 8B Instruct is "Llama 3.1 Community Licence".
| Field | ||
|---|---|---|
| Summary | ||
| Verdict | Conditional DeepSeek-V4-Flash is the smaller-active sibling of V4-Pro under the same MIT terms — permissive on the weights, but the China-based vendor and undocumented training corpus mean any EU deployment still needs a self-hosted topology and a deployer-side GPAI documentation file under AI Act Article 53. | 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. |
| Last reviewed | 2026-04-28 | 2026-04-17 |
| Open-weight | ||
| Licence | MIT | Llama 3.1 Community Licence |
| Commercial use | Unrestricted | Restricted (MAU cap + AUP) |
| Training data | Categories only | Token count only |
| Origin | China | United States |
| Performance & pricing? | ||
| Quality index | 47/100 | 12/100 |
| Speed | 79 tok/s | 160 tok/s |
| Blended price | $0.17/M | $0.10/M |
| Context window | — | — |
| Evidence | ||
| Sources | ||
No overlapping sources between the two entries.