Side-by-side comparison of DeepSeek-V4-Pro (DeepSeek · China) and Hy3-preview (Tencent) for self-hosted deployment of the open-weight model. DeepSeek-V4-Pro is rated conditional; Hy3-preview is blocked. They part ways on licence: DeepSeek-V4-Pro is "MIT", Hy3-preview is "Tencent Hy Community".
| 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. | Blocked Per the Tencent Hy Community License Agreement (Sections 1(l) and 5(c)), the licence's defined Territory excludes the European Union, the United Kingdom and South Korea, and licensees are expressly prohibited from using, distributing or displaying the model or its outputs outside that Territory. Under those terms the weights are not deployable for EU users or workloads, regardless of architecture quality. |
| Last reviewed | 2026-04-28 | 2026-04-28 |
| Open-weight | ||
| Licence | MIT | Tencent Hy Community |
| Commercial use | Unrestricted | EU territory excluded |
| Training data | Categories only | Undisclosed |
| Origin | China | China |
| Performance & pricing? | ||
| Quality index | 52/100 | 42/100 |
| Speed | 36 tok/s | 85 tok/s |
| Blended price | $2.17/M | — |
| Context window | — | — |
| Evidence | ||
| Sources | ||
No overlapping sources between the two entries.