Model comparison
Mistral Small 3.2 vs o3
o3 is the stronger model overall, scoring 47.5 to 31.2 on the Noometry Index. Mistral Small 3.2 costs 26× less per token, which makes it the better buy when o3's lead doesn't matter for your workload.
Last verified . 6 shared benchmarks.
Summary
- They share 6 benchmarks with published results for both. Mistral Small 3.2 scores higher in 0 categories and o3 in 4 categories; 4 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where o3 leads 54.6 to 26.7.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 30.3% for Mistral Small 3.2 and 84.4% for o3.
- Mistral Small 3.2 is cheaper at $0.0938 / $0.25 per million input/output tokens, against $2 / $8 for o3.
- 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 | |
|---|---|---|
| Provider | Mistral AI | OpenAI |
| Noometry Index | 31.2 | 47.5 |
| Released | 2025-06-20 | 2025-04-16 |
| Weights | Open | Proprietary |
| Context window | 256K | 200K |
| Max output | 16K | 100K |
| Input $ / M tokens | $0.0938 | $2 |
| Output $ / M tokens | $0.25 | $8 |
| Results tracked | 6 | 63 |
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Category by category
Coding Not comparable
Mistral Small 3.2: —, o3: 46.8 (#64)
| Benchmark | Mistral Small 3.2 | o3 |
|---|---|---|
| SWE-bench Verified | — | 62.3% |
| SWE-bench Verified (bash only) | — | 58.4% |
| Aider Polyglot | — | 81.3% |
| GSO | — | 8.8% |
| WeirdML | — | 52.4% |
| LMArena Coding | — | 1408 |
| CadEval | — | 74% |
| ALE-Bench | — | 933.55 |
Agentic & Tool Use Not comparable
Mistral Small 3.2: —, o3: 34.5 (#44)
| Benchmark | Mistral Small 3.2 | o3 |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 63% |
| GDPval | — | 30.8% |
| DeepResearch Bench | — | 45.2% |
| OSWorld | — | 23% |
| LMArena Search | — | 1144 |
| METR Time Horizons | — | 65.4% |
Reasoning o3 leads
Mistral Small 3.2: 18.1 (#287), o3: 32.0 (#78)
| Benchmark | Mistral Small 3.2 | o3 |
|---|---|---|
| Kagi LLM Benchmark | 40.4% | 67.6% |
| Chess Puzzles | 1% | 38% |
| Epoch Capabilities Index | 131.74 | 146.86 |
| ARC-AGI-2 | — | 6.5% |
| SimpleBench | — | 53.1% |
| ARC-AGI-1 | — | 60.8% |
| CritPt | — | 1.4% |
| EnigmaEval | — | 13.1% |
| LMArena Hard Prompts | — | 1402 |
| Mystery Game Puzzles | — | 29% |
| DTBench | — | 84.8% |
| LMCA | — | 39.7% |
| ForecastBench | — | 62.5 |
Math o3 leads
Mistral Small 3.2: 26.3 (#260), o3: 50.2 (#58)
| Benchmark | Mistral Small 3.2 | o3 |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 30.3% | 84.4% |
| FrontierMath (Tiers 1-3) | — | 33.3% |
| Omni-MATH | — | 71.4% |
| LMArena Math | — | 1426 |
| MATH Level 5 | — | 97.8% |
| FrontierMath (Feb 2025 set) | — | 18.7% |
| FrontierMath Tier 4 (v1) | — | 2.1% |
Knowledge o3 leads
Mistral Small 3.2: 26.7 (#256), o3: 54.6 (#52)
| Benchmark | Mistral Small 3.2 | o3 |
|---|---|---|
| GPQA Diamond | 49.1% | 81.8% |
| Humanity's Last Exam | — | 20.3% |
| SimpleQA Verified | — | 49.4% |
| MMLU-Pro | — | 85.9% |
| Confabulations | — | 14.4% |
| GPQA (HELM) | — | 75.3% |
| LMArena Expert | — | 1402 |
Multimodal Not comparable
Mistral Small 3.2: —, o3: 41.4 (#36)
| Benchmark | Mistral Small 3.2 | o3 |
|---|---|---|
| LMArena Vision | — | 1214 |
| GeoBench | — | 74% |
| VPCT | — | 52% |
Multilingual Not comparable
Mistral Small 3.2: —, o3: 51.7 (#105)
| Benchmark | Mistral Small 3.2 | o3 |
|---|---|---|
| LMArena Non-English | — | 1401 |
| LMArena Chinese | — | 1437 |
| LMArena French | — | 1430 |
| LMArena German | — | 1420 |
| LMArena Japanese | — | 1403 |
| LMArena Korean | — | 1370 |
| LMArena Russian | — | 1406 |
| LMArena Spanish | — | 1395 |
Instruction Following Not comparable
Mistral Small 3.2: —, o3: 72.8 (#127)
| Benchmark | Mistral Small 3.2 | o3 |
|---|---|---|
| IFEval | — | 86.9% |
| LMArena Instruction Following | — | 1368 |
Long Context Not comparable
Mistral Small 3.2: —, o3: 53.3 (#6)
| Benchmark | Mistral Small 3.2 | o3 |
|---|---|---|
| Fiction.LiveBench | — | 88.9% |
| CL-bench | — | 17.8% |
| LMArena Longer Query | — | 1372 |
Writing & Preference o3 leads
Mistral Small 3.2: 45.0 (#224), o3: 63.5 (#64)
| Benchmark | Mistral Small 3.2 | o3 |
|---|---|---|
| EQ-Bench Creative Writing | 1255 | 1676 |
| LMArena Text | — | 1410 |
| LMArena Creative Writing | — | 1359 |
| Short-Story Creative Writing | — | 83.9% |
| WildBench | — | 86.1% |
| LMArena Multi-Turn | — | 1405 |
Frequently asked questions
Is Mistral Small 3.2 better than o3?
o3 is the stronger model overall, scoring 47.5 to 31.2 on the Noometry Index. Mistral Small 3.2 costs 26× less per token, which makes it the better buy when o3's lead doesn't matter for your workload.
Which is cheaper, Mistral Small 3.2 or o3?
Mistral Small 3.2 is cheaper. It lists at $0.0938 per million input tokens and $0.25 per million output tokens; o3 lists at $2 and $8.
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 share?
6 benchmarks have published results for both models. Mistral Small 3.2 has 6 scored results on Noometry and o3 has 63.