Side-by-side comparison of Gemma 4 E4B Instruct (Google DeepMind · United States) and OLMo 2 32B (AllenAI · USA) for self-hosted deployment of the open-weight model. Gemma 4 E4B Instruct is rated conditional; OLMo 2 32B is EU-ready. They part ways on commercial use: Gemma 4 E4B Instruct is "Unrestricted", OLMo 2 32B 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. | EU-ready Fully open model: weights, training data (Dolma 2), training code, checkpoints, and logs all published. Apache 2.0 across the board. Strongest choice when AI Act transparency obligations matter. |
| 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 | Disclosed |
| Origin | United States | USA |
| Performance & pricing? | ||
| Quality index | 15/100 | 11/100 |
| Speed | — | — |
| Blended price | — | — |
| Context window | — | — |
| Evidence | ||
| Sources | ||
No overlapping sources between the two entries.