Model comparison
Mistral vs o3-pro
o3-pro is the stronger model overall, scoring 42.9 to 29.9 on the Noometry Index.
Last verified . 0 shared benchmarks.
Mistral AISummary
- The widest gap is in long context, where o3-pro leads 72.2 to 35.0.
Side by side
| Mistral | o3-pro | |
|---|---|---|
| Provider | Mistral AI | OpenAI |
| Noometry Index | 29.9 | 42.9 |
| Released | — | 2025-06-10 |
| Weights | Proprietary | Proprietary |
| Context window | — | 200K |
| Max output | — | 100K |
| Input $ / M tokens | — | $20 |
| Output $ / M tokens | — | $80 |
| Results tracked | 22 | 12 |
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Category by category
Coding o3-pro leads
Mistral: 33.8 (#250), o3-pro: 55.5 (#24)
| Benchmark | Mistral | o3-pro |
|---|---|---|
| Aider Polyglot | — | 84.9% |
| WeirdML | — | 58.2% |
| LMArena Coding | 1162 | — |
Reasoning o3-pro leads
Mistral: 22.2 (#200), o3-pro: 23.8 (#171)
| Benchmark | Mistral | o3-pro |
|---|---|---|
| ARC-AGI-2 | — | 4.9% |
| Kagi LLM Benchmark | — | 72.1% |
| ARC-AGI-1 | — | 59.3% |
| LMArena Hard Prompts | 1149 | — |
| DTBench | — | 86.9% |
| LMCA | — | 38.5% |
| Epoch Capabilities Index | — | 147.42 |
Math Not comparable
Mistral: 22.3 (#278), o3-pro: —
| Benchmark | Mistral | o3-pro |
|---|---|---|
| Omni-MATH | 7.2% | — |
| LMArena Math | 1180 | — |
Knowledge o3-pro leads
Mistral: 16.6 (#288), o3-pro: 29.5 (#238)
| Benchmark | Mistral | o3-pro |
|---|---|---|
| MMLU-Pro | 27.7% | — |
| Confabulations | — | 14.2% |
| Vectara Hallucination Rate | — | 23.3% |
| GPQA (HELM) | 30.3% | — |
| LMArena Expert | 1125 | — |
Multilingual Not comparable
Mistral: 32.8 (#254), o3-pro: —
| Benchmark | Mistral | o3-pro |
|---|---|---|
| LMArena Non-English | 1129 | — |
| LMArena Chinese | 1109 | — |
| LMArena French | 1180 | — |
| LMArena German | 1155 | — |
| LMArena Japanese | 1013 | — |
| LMArena Korean | 1032 | — |
| LMArena Russian | 1168 | — |
| LMArena Spanish | 1143 | — |
Instruction Following Not comparable
Mistral: 52.6 (#288), o3-pro: —
| Benchmark | Mistral | o3-pro |
|---|---|---|
| IFEval | 56.8% | — |
| LMArena Instruction Following | 1152 | — |
Long Context o3-pro leads
Mistral: 35.0 (#245), o3-pro: 72.2 (#1)
| Benchmark | Mistral | o3-pro |
|---|---|---|
| Fiction.LiveBench | — | 97.2% |
| LMArena Longer Query | 1153 | — |
Writing & Preference o3-pro leads
Mistral: 37.0 (#260), o3-pro: 57.1 (#133)
| Benchmark | Mistral | o3-pro |
|---|---|---|
| LMArena Text | 1165 | — |
| LMArena Creative Writing | 1158 | — |
| Short-Story Creative Writing | — | 84.4% |
| WildBench | 66% | — |
| LMArena Multi-Turn | 1147 | — |
Frequently asked questions
Is Mistral better than o3-pro?
o3-pro is the stronger model overall, scoring 42.9 to 29.9 on the Noometry Index.
Is Mistral or o3-pro better for coding?
o3-pro scores higher on coding benchmarks: 55.5 versus 33.8 in the Noometry coding category.
How many benchmarks do Mistral and o3-pro share?
0 benchmarks have published results for both models. Mistral has 22 scored results on Noometry and o3-pro has 12.