Side-by-side comparison of OLMo 2 32B (AllenAI · USA) and Phi-4 (Microsoft · USA) for self-hosted deployment of the open-weight model. OLMo 2 32B is rated EU-ready; Phi-4 is EU-ready. They part ways on licence: OLMo 2 32B is "Apache 2.0", Phi-4 is "MIT".
| Field | ||
|---|---|---|
| Summary | ||
| Verdict | 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. | EU-ready MIT-licensed 14B from Microsoft Research. Heavy use of synthetic training data is disclosed; English-primary (thin multilingual coverage). Strongest small-model option for permissive-licence EU deployments. |
| Last reviewed | 2026-04-15 | 2026-04-15 |
| Open-weight | ||
| Licence | Apache 2.0 | MIT |
| Commercial use | Yes | Yes |
| Training data | Disclosed | Partial |
| Origin | USA | USA |
| Performance & pricing? | ||
| Quality index | 11/100 | 10/100 |
| Speed | — | 29 tok/s |
| Blended price | — | $0.22/M |
| Context window | — | — |
| Evidence | ||
| Sources | ||
No overlapping sources between the two entries.