Models · Compare
QwQ 32B Preview vs OpenAI o1
Rows highlighted in warm gray are where the models differ. Numbers carry their as-of date and primary source.
Specs
| Field | A: QwQ 32B Preview | B: OpenAI o1 |
|---|---|---|
| Released | 2024-11-27 | — |
| Developer | Alibaba | OpenAI |
| Openness | Open | Proprietary |
| License | Apache-2.0 | Proprietary |
| OSI-approved | yes | no |
| Data released | no | no |
| Training code | no | no |
| Architecture | dense | unknown |
| Total params | 32.5B | — |
| Active params | — | — |
| Experts | — | — |
| Context window | 33K | — |
| Attention | gqa | unknown |
| Position enc. | rope | unknown |
| Pretraining tokens | — | — |
| Post-training | sft | rlhf |
| Training hardware | — | — |
| $/M input | — | $15.00 |
| $/M output | — | $60.00 |
| Output tok/sec | — | 75.8 |
Benchmarks
Missing scores render as not reported; never inferred. Bold highlights the leader per benchmark.
General reasoning
| MMLU-Pro | — | 84.1 2026-05-21 |
| GPQA-Diamond | — | 77.3 2024-12-05 |
Code
| LiveCodeBench | 50.0 2024-11-28 | 67.9 2026-05-21 |
Math
| MATH | — | 97.0 2026-05-21 |
| AIME 2024 | 50.0 2024-11-28 | 83.3 2024-12-05 |
Context · A
Alibaba's first public reasoning model, fine-tuned from Qwen 2.5 32B Instruct and shipped as a research preview a month after OpenAI's o1-preview. Apache 2.0 under the Qwen umbrella, with the explicit framing of contemplative problem-solving rather than fast token generation.
Context · B
The first publicly available frontier reasoning model. Trained to spend extra inference compute on a "private chain of thought" before answering, setting the template the open community would chase with R1.