Model comparison
Mistral Small 3.2 vs o3-pro
o3-pro is the stronger model overall, scoring 42.9 to 31.2 on the Noometry Index. Mistral Small 3.2 costs 264× less per token, which makes it the better buy when o3-pro's lead doesn't matter for your workload.
Last verified . 2 shared benchmarks.
Mistral AISummary
- They share 2 benchmarks with published results for both. Mistral Small 3.2 scores higher in 0 categories and o3-pro in 3 categories; 3 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where o3-pro leads 57.1 to 45.0.
- The biggest single-benchmark swing is Kagi LLM Benchmark: 40.4% for Mistral Small 3.2 and 72.1% for o3-pro.
- Mistral Small 3.2 is cheaper at $0.0938 / $0.25 per million input/output tokens, against $20 / $80 for o3-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 | o3-pro | |
|---|---|---|
| Provider | Mistral AI | OpenAI |
| Noometry Index | 31.2 | 42.9 |
| Released | 2025-06-20 | 2025-06-10 |
| Weights | Open | Proprietary |
| Context window | 256K | 200K |
| Max output | 16K | 100K |
| Input $ / M tokens | $0.0938 | $20 |
| Output $ / M tokens | $0.25 | $80 |
| Results tracked | 6 | 12 |
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Category by category
Coding Not comparable
Mistral Small 3.2: —, o3-pro: 55.5 (#24)
| Benchmark | Mistral Small 3.2 | o3-pro |
|---|---|---|
| Aider Polyglot | — | 84.9% |
| WeirdML | — | 58.2% |
Reasoning o3-pro leads
Mistral Small 3.2: 18.1 (#287), o3-pro: 23.8 (#171)
| Benchmark | Mistral Small 3.2 | o3-pro |
|---|---|---|
| Kagi LLM Benchmark | 40.4% | 72.1% |
| Epoch Capabilities Index | 131.74 | 147.42 |
| ARC-AGI-2 | — | 4.9% |
| ARC-AGI-1 | — | 59.3% |
| Chess Puzzles | 1% | — |
| DTBench | — | 86.9% |
| LMCA | — | 38.5% |
Math Not comparable
Mistral Small 3.2: 26.3 (#260), o3-pro: —
| Benchmark | Mistral Small 3.2 | o3-pro |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 30.3% | — |
Knowledge o3-pro leads
Mistral Small 3.2: 26.7 (#256), o3-pro: 29.5 (#238)
| Benchmark | Mistral Small 3.2 | o3-pro |
|---|---|---|
| GPQA Diamond | 49.1% | — |
| Confabulations | — | 14.2% |
| Vectara Hallucination Rate | — | 23.3% |
Long Context Not comparable
Mistral Small 3.2: —, o3-pro: 72.2 (#1)
| Benchmark | Mistral Small 3.2 | o3-pro |
|---|---|---|
| Fiction.LiveBench | — | 97.2% |
Writing & Preference o3-pro leads
Mistral Small 3.2: 45.0 (#224), o3-pro: 57.1 (#133)
| Benchmark | Mistral Small 3.2 | o3-pro |
|---|---|---|
| Short-Story Creative Writing | — | 84.4% |
| EQ-Bench Creative Writing | 1255 | — |
Frequently asked questions
Is Mistral Small 3.2 better than o3-pro?
o3-pro is the stronger model overall, scoring 42.9 to 31.2 on the Noometry Index. Mistral Small 3.2 costs 264× less per token, which makes it the better buy when o3-pro's lead doesn't matter for your workload.
Which is cheaper, Mistral Small 3.2 or o3-pro?
Mistral Small 3.2 is cheaper. It lists at $0.0938 per million input tokens and $0.25 per million output tokens; o3-pro lists at $20 and $80.
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 o3-pro share?
2 benchmarks have published results for both models. Mistral Small 3.2 has 6 scored results on Noometry and o3-pro has 12.