Side-by-side comparison of Gemma 4 E4B Instruct (Google DeepMind · United States) and Qwen 2.5 (Alibaba · China) for self-hosted deployment of the open-weight model. Gemma 4 E4B Instruct is rated conditional; Qwen 2.5 is conditional. They part ways on commercial use: Gemma 4 E4B Instruct is "Unrestricted", Qwen 2.5 is "Yes".
| 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. | Conditional Legally clean under Apache 2.0, but Chinese origin raises supply-chain and geopolitical questions. Vet carefully for sensitive use cases. |
| Last reviewed | 2026-04-17 | 2026-04-15 |
| Open-weight | ||
| Licence | Apache 2.0 | Apache 2.0 |
| Commercial use | Unrestricted | Yes |
| Training data | Domain-level summary | Undisclosed |
| Origin | United States | China |
| Performance & pricing? | ||
| Quality index | 15/100 | 16/100 |
| Speed | — | 55 tok/s |
| Blended price | — | — |
| Context window | — | — |
| Evidence | ||
| Sources | ||
No overlapping sources between the two entries.