Models · Compare
OpenAI o3-mini vs DeepSeek-R1
Rows highlighted in warm gray are where the models differ. Numbers carry their as-of date and primary source.
Specs
| Field | A: OpenAI o3-mini | B: DeepSeek-R1 |
|---|---|---|
| Released | 2025-01-31 | — |
| Developer | OpenAI | DeepSeek |
| Openness | Proprietary | Open |
| License | Proprietary | MIT |
| OSI-approved | no | yes |
| Data released | no | no |
| Training code | no | no |
| Architecture | unknown | moe |
| Total params | — | 671B |
| Active params | — | 37B |
| Experts | — | — |
| Context window | 200K | 128K |
| Attention | unknown | mla |
| Position enc. | unknown | rope-yarn |
| Pretraining tokens | — | — |
| Post-training | rlhf | sft, grpo, rejection-sampling |
| Training hardware | — | H800 |
| $/M input | $1.10 | $1.35 |
| $/M output | $4.40 | $4.20 |
| Output tok/sec | 145.3 | 0 |
Benchmarks
Missing scores render as not reported; never inferred. Bold highlights the leader per benchmark.
General reasoning
| MMLU | — | 90.8 2025-01-22 |
| MMLU-Pro | 79.1 2026-05-21 | 84.9 2026-05-21 |
| GPQA-Diamond | 79.7 2025-01-31 | 71.5 2025-01-22 |
Code
| SWE-Bench Verified | 49.3 2025-01-31 | — |
| LiveCodeBench | 71.7 2026-05-21 | 77.0 2026-05-21 |
Math
| MATH | 97.3 2026-05-21 | 97.3 2025-01-22 |
| AIME 2024 | 87.3 2025-01-31 | 79.8 2025-01-22 |
| AIME 2025 | — | 76.0 2026-05-21 |
Context · A
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.
Context · B
The first openly-released reasoning model competitive with OpenAI o1. The R1-Zero variant demonstrated that pure-RL post- training without SFT could elicit chain-of-thought reasoning. MIT-licensed weights, distillations into 1.5B-70B sizes.