Side-by-side comparison of OLMo 2 32B (AllenAI · USA) and QwQ-32B (Alibaba · China) for self-hosted deployment of the open-weight model. OLMo 2 32B is rated EU-ready; QwQ-32B is conditional. They part ways on training data: OLMo 2 32B is "Disclosed", QwQ-32B is "Undisclosed".
| 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. | Conditional 32B dense reasoning model under Apache 2.0. Sweet spot for self-hostable reasoning: 4090-class GPU at 4-bit, single H100 at bf16. Chinese-origin caveats unchanged. |
| Last reviewed | 2026-04-15 | 2026-04-15 |
| Open-weight | ||
| Licence | Apache 2.0 | Apache 2.0 |
| Commercial use | Yes | Yes |
| Training data | Disclosed | Undisclosed |
| Origin | USA | China |
| Performance & pricing? | ||
| Quality index | 11/100 | 20/100 |
| Speed | — | 33 tok/s |
| Blended price | — | $0.74/M |
| Context window | — | — |
| Evidence | ||
| Sources | ||
No overlapping sources between the two entries.