Model comparison
Mistral Medium vs o1-mini
Mistral Medium is the stronger model overall, scoring 36.3 to 34.0 on the Noometry Index.
Last verified . 23 shared benchmarks.
Mistral AISummary
- They share 23 benchmarks with published results for both. Mistral Medium scores higher in 6 categories and o1-mini in 3 categories; 9 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where Mistral Medium leads 24.0 to 8.8.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 32.2% for Mistral Medium and 46.9% for o1-mini.
- Mistral Medium has downloadable open weights; the other is API-only.
Side by side
| Mistral Medium | o1-mini | |
|---|---|---|
| Provider | Mistral AI | OpenAI |
| Noometry Index | 36.3 | 34.0 |
| Released | 2023-12-11 | 2024-09-12 |
| Weights | Open | Proprietary |
| Context window | 262K | — |
| Max output | 262K | — |
| Input $ / M tokens | $1.50 | — |
| Output $ / M tokens | $7.50 | — |
| Results tracked | 36 | 39 |
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Category by category
Coding o1-mini leads
Mistral Medium: 34.2 (#243), o1-mini: 35.5 (#224)
| Benchmark | Mistral Medium | o1-mini |
|---|---|---|
| WeirdML | 43.7% | 36.3% |
| LMArena Coding | 1434 | 1362 |
| FrontierCode | 8% | — |
| Aider Polyglot | — | 32.9% |
| SciCode | 40.2% | — |
| LiveBench Coding | — | 48% |
| ALE-Bench | 763.98 | — |
| HumanEval+ | — | 89% |
| MBPP+ | — | 78.8% |
Agentic & Tool Use Mistral Medium leads
Mistral Medium: 28.3 (#90), o1-mini: 24.6 (#118)
| Benchmark | Mistral Medium | o1-mini |
|---|---|---|
| Berkeley Function Calling Leaderboard | 37.7% | — |
| Cybench | — | 10% |
Reasoning Mistral Medium leads
Mistral Medium: 24.0 (#167), o1-mini: 8.8 (#346)
| Benchmark | Mistral Medium | o1-mini |
|---|---|---|
| LMArena Hard Prompts | 1426 | 1333 |
| ARC-AGI-2 | — | 0.8% |
| SimpleBench | — | 18.1% |
| Kagi LLM Benchmark | 50% | — |
| ARC-AGI-1 | — | 14% |
| CritPt | 0% | — |
| LiveBench Reasoning | — | 72.3% |
| DTBench | 75.5% | — |
| LiveBench Data Analysis | — | 57.9% |
| LMCA | 26.1% | — |
| Surface Evolver Bench | 26.9% | — |
| Epoch Capabilities Index | — | 135.82 |
| LiveBench | — | 57.8% |
Math o1-mini leads
Mistral Medium: 28.1 (#245), o1-mini: 35.4 (#186)
| Benchmark | Mistral Medium | o1-mini |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 32.2% | 46.9% |
| LMArena Math | 1408 | 1358 |
| MATH Level 5 | 81.6% | 89.2% |
| FrontierMath (Feb 2025 set) | 0.3% | 1.7% |
| ProofBench | 9% | — |
| LiveBench Math | — | 62% |
Knowledge o1-mini leads
Mistral Medium: 25.0 (#265), o1-mini: 34.9 (#192)
| Benchmark | Mistral Medium | o1-mini |
|---|---|---|
| GPQA Diamond | 59.5% | 62.4% |
| LMArena Expert | 1408 | 1316 |
| Humanity's Last Exam | 4.5% | — |
| Confabulations | — | 18.6% |
| Vectara Hallucination Rate | 22.7% | — |
Multimodal Not comparable
Mistral Medium: 35.3 (#88), o1-mini: —
| Benchmark | Mistral Medium | o1-mini |
|---|---|---|
| LMArena Vision | 1172 | — |
Multilingual Mistral Medium leads
Mistral Medium: 52.1 (#91), o1-mini: 43.6 (#182)
| Benchmark | Mistral Medium | o1-mini |
|---|---|---|
| LMArena Non-English | 1408 | 1289 |
| LMArena Chinese | 1447 | 1314 |
| LMArena French | 1459 | 1293 |
| LMArena German | 1432 | 1278 |
| LMArena Japanese | 1378 | 1245 |
| LMArena Korean | 1380 | 1223 |
| LMArena Russian | 1411 | 1283 |
| LMArena Spanish | 1433 | 1303 |
Instruction Following Mistral Medium leads
Mistral Medium: 73.7 (#116), o1-mini: 66.7 (#206)
| Benchmark | Mistral Medium | o1-mini |
|---|---|---|
| LMArena Instruction Following | 1398 | 1304 |
| LiveBench Instruction Following | — | 65.4% |
Long Context Mistral Medium leads
Mistral Medium: 42.9 (#114), o1-mini: 40.1 (#161)
| Benchmark | Mistral Medium | o1-mini |
|---|---|---|
| LMArena Longer Query | 1406 | 1320 |
Writing & Preference Mistral Medium leads
Mistral Medium: 60.0 (#103), o1-mini: 48.4 (#202)
| Benchmark | Mistral Medium | o1-mini |
|---|---|---|
| LMArena Text | 1424 | 1317 |
| LMArena Creative Writing | 1391 | 1244 |
| Short-Story Creative Writing | 77.3% | 64.9% |
| LMArena Multi-Turn | 1418 | 1314 |
| LiveBench Language | — | 40.9% |
Frequently asked questions
Is Mistral Medium better than o1-mini?
Mistral Medium is the stronger model overall, scoring 36.3 to 34.0 on the Noometry Index.
Is Mistral Medium or o1-mini better for coding?
o1-mini scores higher on coding benchmarks: 35.5 versus 34.2 in the Noometry coding category.
How many benchmarks do Mistral Medium and o1-mini share?
23 benchmarks have published results for both models. Mistral Medium has 36 scored results on Noometry and o1-mini has 39.