Model comparison
Mistral Small 3.2 vs o1-pro
Mistral Small 3.2 and o1-pro score almost the same on the Noometry Index (31.2 vs 31.5), so choose on price, context window or the category you care about most.
Last verified . 0 shared benchmarks.
Mistral AISummary
- Mistral Small 3.2 is cheaper at $0.0938 / $0.25 per million input/output tokens, against $150 / $600 for o1-pro.
- Mistral Small 3.2 accepts more context: 256K tokens versus 200K.
- Mistral Small 3.2 has downloadable open weights; the other is API-only.
Side by side
| Mistral Small 3.2 | o1-pro | |
|---|---|---|
| Provider | Mistral AI | OpenAI |
| Noometry Index | 31.2 | 31.5 |
| Released | 2025-06-20 | 2025-03-19 |
| Weights | Open | Proprietary |
| Context window | 256K | 200K |
| Max output | 16K | 100K |
| Input $ / M tokens | $0.0938 | $150 |
| Output $ / M tokens | $0.25 | $600 |
| Results tracked | 6 | 3 |
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Category by category
Reasoning o1-pro leads
Mistral Small 3.2: 18.1 (#287), o1-pro: 20.4 (#239)
| Benchmark | Mistral Small 3.2 | o1-pro |
|---|---|---|
| Kagi LLM Benchmark | 40.4% | — |
| ARC-AGI-1 | — | 23.3% |
| Chess Puzzles | 1% | — |
| EnigmaEval | — | 6.1% |
| Epoch Capabilities Index | 131.74 | — |
Math Not comparable
Mistral Small 3.2: 26.3 (#260), o1-pro: —
| Benchmark | Mistral Small 3.2 | o1-pro |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 30.3% | — |
Knowledge o1-pro leads
Mistral Small 3.2: 26.7 (#256), o1-pro: 29.7 (#234)
| Benchmark | Mistral Small 3.2 | o1-pro |
|---|---|---|
| GPQA Diamond | 49.1% | — |
| Humanity's Last Exam | — | 8.1% |
Writing & Preference Not comparable
Mistral Small 3.2: 45.0 (#224), o1-pro: —
| Benchmark | Mistral Small 3.2 | o1-pro |
|---|---|---|
| EQ-Bench Creative Writing | 1255 | — |
Frequently asked questions
Is Mistral Small 3.2 better than o1-pro?
Mistral Small 3.2 and o1-pro score almost the same on the Noometry Index (31.2 vs 31.5), so choose on price, context window or the category you care about most.
Which is cheaper, Mistral Small 3.2 or o1-pro?
Mistral Small 3.2 is cheaper. It lists at $0.0938 per million input tokens and $0.25 per million output tokens; o1-pro lists at $150 and $600.
Which has the bigger context window?
Mistral Small 3.2 does, with 256K tokens against 200K.
How many benchmarks do Mistral Small 3.2 and o1-pro share?
0 benchmarks have published results for both models. Mistral Small 3.2 has 6 scored results on Noometry and o1-pro has 3.