Models · Compare
DeepSeek-R1-Distill-Qwen-32B vs OpenAI o3-mini
Rows highlighted in warm gray are where the models differ. Numbers carry their as-of date and primary source.
Specs
| Field | A: DeepSeek-R1-Distill-Qwen-32B | B: OpenAI o3-mini |
|---|---|---|
| Released | 2025-01-20 | 2025-01-31 |
| Developer | DeepSeek | OpenAI |
| Openness | Open | Proprietary |
| License | MIT | Proprietary |
| OSI-approved | yes | no |
| Data released | no | no |
| Training code | no | no |
| Architecture | dense | unknown |
| Total params | 32B | — |
| Active params | — | — |
| Experts | — | — |
| Context window | 128K | 200K |
| Attention | gqa | unknown |
| Position enc. | rope | unknown |
| Pretraining tokens | — | — |
| Post-training | sft | rlhf |
| Training hardware | — | — |
| $/M input | $0.00 | $1.10 |
| $/M output | $0.00 | $4.40 |
| Output tok/sec | 0 | 145.3 |
Benchmarks
Missing scores render as not reported; never inferred. Bold highlights the leader per benchmark.
General reasoning
| MMLU-Pro | 73.9 2026-05-21 | 79.1 2026-05-21 |
| GPQA-Diamond | 62.1 2025-01-22 | 79.7 2025-01-31 |
Code
| SWE-Bench Verified | — | 49.3 2025-01-31 |
| LiveCodeBench | 57.2 2025-01-22 | 71.7 2026-05-21 |
Math
| MATH | 94.1 2026-05-21 | 97.3 2026-05-21 |
| AIME 2024 | 72.6 2025-01-22 | 87.3 2025-01-31 |
| AIME 2025 | 63.0 2026-05-21 | — |
Context · A
Dense Qwen2.5-32B base supervised-fine-tuned on reasoning traces sampled from DeepSeek-R1. The sweet-spot distill of the series: small enough to run on a single high-memory GPU, and reported by DeepSeek as outperforming OpenAI o1-mini on AIME 2024 and MATH-500.
Context · B
Released January 31, 2025 as a smaller, faster o-series reasoning model with three selectable effort levels (low, medium, high). Positioned by OpenAI as a specialized alternative to o1 for technical domains requiring precision and speed at a fraction of o1's cost.
DeepSeek-R1-Distill-Qwen-32B detail → · OpenAI o3-mini detail →