Side-by-side comparison of Gemma 4 E4B Instruct (Google DeepMind · United States) and Hy3-preview (Tencent) for self-hosted deployment of the open-weight model. Gemma 4 E4B Instruct is rated conditional; Hy3-preview is blocked. They part ways on licence: Gemma 4 E4B Instruct is "Apache 2.0", Hy3-preview is "Tencent Hy Community".
| Field | ||
|---|---|---|
| Summary | ||
| Verdict | Conditional Based on published licence terms, Gemma 4 E4B is an edge-optimised multimodal variant under pure Apache 2.0 with no prohibited-use carve-outs. Audio input (30s) and on-device deployment push GDPR biometric, AI Act emotion-recognition, and Art. 25 data-protection-by-design obligations entirely onto the integrator with no Google-side telemetry or kill-switch. | 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 | 2026-04-17 | 2026-04-28 |
| Open-weight | ||
| Licence | Apache 2.0 | Tencent Hy Community |
| Commercial use | Unrestricted | EU territory excluded |
| Training data | Domain-level summary | Undisclosed |
| Origin | United States | China |
| Performance & pricing? | ||
| Quality index | 15/100 | 42/100 |
| Speed | — | 85 tok/s |
| Blended price | — | — |
| Context window | — | — |
| Evidence | ||
| Sources | ||
No overlapping sources between the two entries.