Side-by-side comparison of Gemma 4 (Google · USA) and OLMo 2 32B (AllenAI · USA) for self-hosted deployment of the open-weight model. Gemma 4 is rated EU-ready; OLMo 2 32B is EU-ready. They part ways on training data: Gemma 4 is "Partial", OLMo 2 32B is "Disclosed".
| Field | ||
|---|---|---|
| Summary | ||
| Verdict | EU-ready Major licence shift from Gemma 2/3: Apache 2.0 across the family. 140+ languages, multimodal (text/image/audio/video on small sizes), 128K-256K context. Strong permissive default for EU deployments that need robust multilingual support. | 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 | 2026-04-15 | 2026-04-15 |
| Open-weight | ||
| Licence | Apache 2.0 | Apache 2.0 |
| Commercial use | Yes | Yes |
| Training data | Partial | Disclosed |
| Origin | USA | USA |
| Performance & pricing? | ||
| Quality index | 32/100 | 11/100 |
| Speed | — | — |
| Blended price | — | — |
| Context window | — | — |
| Evidence | ||
| Sources | ||
No overlapping sources between the two entries.