Side-by-side comparison of DeepSeek-V4-Pro (DeepSeek · China) and GLM-5.1 (Zhipu AI (Z.ai) · China) for self-hosted deployment of the open-weight model. DeepSeek-V4-Pro is rated conditional; GLM-5.1 is conditional. They part ways on training data: DeepSeek-V4-Pro is "Categories only", GLM-5.1 is "Undisclosed".
| Field | ||
|---|---|---|
| Summary | ||
| Verdict | Conditional Per the published LICENSE file, DeepSeek-V4-Pro ships under MIT with no commercial restrictions, so the weights themselves are deployable. The caveats are non-EU jurisdiction and a training corpus described only by aggregate token count (32T+) without a dataset list — both should be documented in any GDPR or AI Act compliance file before regulated use. | Conditional Per current documentation, GLM-5.1 is released under a verbatim MIT License with no use restrictions, enabling self-hosted commercial deployment. However, training-data opacity, Beijing-based publisher, and Zhipu AI's presence on the US BIS Entity List create EU AI Act transparency and supply-chain screening risks for regulated deployers. |
| Last reviewed | 2026-04-28 | 2026-04-17 |
| Open-weight | ||
| Licence | MIT | MIT |
| Commercial use | Unrestricted | Unrestricted |
| Training data | Categories only | Undisclosed |
| Origin | China | China (Beijing) |
| Performance & pricing? | ||
| Quality index | 52/100 | 44/100 |
| Speed | 36 tok/s | 48 tok/s |
| Blended price | $2.17/M | $2.15/M |
| Context window | — | — |
| Evidence | ||
| Sources | ||
No overlapping sources between the two entries.