Model comparison
Mistral vs o3
o3 is the stronger model overall, scoring 47.4 to 29.4 on the Noometry Index.
Last verified . 22 shared benchmarks.
Summary
- They share 22 benchmarks with published results for both. Mistral scores higher in 0 categories and o3 in 8 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where o3 leads 54.5 to 16.3.
- The biggest single-benchmark swing is Omni-MATH: 7.2% for Mistral and 71.4% for o3.
Side by side
| Mistral | o3 | |
|---|---|---|
| Provider | Mistral AI | OpenAI |
| Noometry Index | 29.4 | 47.4 |
| Released | — | 2025-04-16 |
| Weights | Proprietary | Proprietary |
| Context window | — | 200K |
| Max output | — | 100K |
| Input $ / M tokens | — | $2 |
| Output $ / M tokens | — | $8 |
| Results tracked | 22 | 63 |
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Category by category
Coding o3 leads
Mistral: 33.2 (#249), o3: 47.3 (#57)
| Benchmark | Mistral | o3 |
|---|---|---|
| LMArena Coding | 1162 | 1408 |
| SWE-bench Verified | — | 62.3% |
| SWE-bench Verified (bash only) | — | 58.4% |
| Aider Polyglot | — | 81.3% |
| GSO | — | 8.8% |
| WeirdML | — | 52.4% |
| CadEval | — | 74% |
| ALE-Bench | — | 933.55 |
Agentic & Tool Use Not comparable
Mistral: —, o3: 34.3 (#42)
| Benchmark | Mistral | 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: 21.3 (#199), o3: 32.1 (#66)
| Benchmark | Mistral | o3 |
|---|---|---|
| LMArena Hard Prompts | 1149 | 1402 |
| ARC-AGI-2 | — | 6.5% |
| SimpleBench | — | 53.1% |
| Kagi LLM Benchmark | — | 67.6% |
| ARC-AGI-1 | — | 60.8% |
| CritPt | — | 1.4% |
| Chess Puzzles | — | 38% |
| EnigmaEval | — | 13.1% |
| Mystery Game Puzzles | — | 29% |
| DTBench | — | 84.8% |
| LMCA | — | 39.7% |
| Epoch Capabilities Index | — | 146.88 |
| ForecastBench | — | 62.5 |
Math o3 leads
Mistral: 20.5 (#275), o3: 48.9 (#49)
| Benchmark | Mistral | o3 |
|---|---|---|
| Omni-MATH | 7.2% | 71.4% |
| LMArena Math | 1180 | 1426 |
| FrontierMath (Tiers 1-3) | — | 33.3% |
| OTIS Mock AIME 2024-2025 | — | 84.4% |
| MATH Level 5 | — | 97.8% |
| FrontierMath (Feb 2025 set) | — | 18.7% |
| FrontierMath Tier 4 (v1) | — | 2.1% |
Knowledge o3 leads
Mistral: 16.3 (#283), o3: 54.5 (#47)
| Benchmark | Mistral | o3 |
|---|---|---|
| MMLU-Pro | 27.7% | 85.9% |
| GPQA (HELM) | 30.3% | 75.3% |
| LMArena Expert | 1125 | 1403 |
| GPQA Diamond | — | 81.8% |
| Humanity's Last Exam | — | 20.3% |
| SimpleQA Verified | — | 49.4% |
| Confabulations | — | 14.4% |
Multimodal Not comparable
Mistral: —, o3: 40.7 (#35)
| Benchmark | Mistral | o3 |
|---|---|---|
| LMArena Vision | — | 1214 |
| GeoBench | — | 74% |
| VPCT | — | 52% |
Multilingual o3 leads
Mistral: 33.0 (#249), o3: 51.9 (#99)
| Benchmark | Mistral | o3 |
|---|---|---|
| LMArena Non-English | 1129 | 1402 |
| LMArena Chinese | 1109 | 1438 |
| LMArena French | 1179 | 1430 |
| LMArena German | 1155 | 1420 |
| LMArena Japanese | 1012 | 1404 |
| LMArena Korean | 1032 | 1371 |
| LMArena Russian | 1168 | 1407 |
| LMArena Spanish | 1143 | 1395 |
Instruction Following o3 leads
Mistral: 52.9 (#283), o3: 73.0 (#122)
| Benchmark | Mistral | o3 |
|---|---|---|
| IFEval | 56.8% | 86.9% |
| LMArena Instruction Following | 1152 | 1368 |
Long Context o3 leads
Mistral: 35.0 (#240), o3: 53.2 (#6)
| Benchmark | Mistral | o3 |
|---|---|---|
| LMArena Longer Query | 1154 | 1372 |
| Fiction.LiveBench | — | 88.9% |
| CL-bench | — | 17.8% |
Writing & Preference o3 leads
Mistral: 37.2 (#255), o3: 63.7 (#62)
| Benchmark | Mistral | o3 |
|---|---|---|
| LMArena Text | 1165 | 1410 |
| LMArena Creative Writing | 1158 | 1359 |
| WildBench | 66% | 86.1% |
| LMArena Multi-Turn | 1147 | 1405 |
| Short-Story Creative Writing | — | 83.9% |
| EQ-Bench Creative Writing | — | 1676 |
Frequently asked questions
Is Mistral better than o3?
o3 is the stronger model overall, scoring 47.4 to 29.4 on the Noometry Index.
Is Mistral or o3 better for coding?
o3 scores higher on coding benchmarks: 47.3 versus 33.2 in the Noometry coding category.
How many benchmarks do Mistral and o3 share?
22 benchmarks have published results for both models. Mistral has 22 scored results on Noometry and o3 has 63.