Model comparison
Mistral Medium vs o3-mini
Mistral Medium and o3-mini score almost the same on the Noometry Index (36.3 vs 36.7), so choose on price, context window or the category you care about most.
Last verified . 27 shared benchmarks.
Mistral AISummary
- They share 27 benchmarks with published results for both. Mistral Medium scores higher in 4 categories and o3-mini in 5 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where o3-mini leads 38.3 to 25.0.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 32.2% for Mistral Medium and 76.9% for o3-mini.
- o3-mini is cheaper at $1.10 / $4.40 per million input/output tokens, against $1.50 / $7.50 for Mistral Medium.
- Mistral Medium accepts more context: 262K tokens versus 200K.
- Mistral Medium has downloadable open weights; the other is API-only.
Side by side
| Mistral Medium | o3-mini | |
|---|---|---|
| Provider | Mistral AI | OpenAI |
| Noometry Index | 36.3 | 36.7 |
| Released | 2023-12-11 | 2024-12-20 |
| Weights | Open | Proprietary |
| Context window | 262K | 200K |
| Max output | 262K | 100K |
| Input $ / M tokens | $1.50 | $1.10 |
| Output $ / M tokens | $7.50 | $4.40 |
| Results tracked | 36 | 51 |
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Category by category
Coding o3-mini leads
Mistral Medium: 34.2 (#243), o3-mini: 40.8 (#132)
| Benchmark | Mistral Medium | o3-mini |
|---|---|---|
| SciCode | 40.2% | 39.8% |
| WeirdML | 43.7% | 43.7% |
| LMArena Coding | 1434 | 1378 |
| FrontierCode | 8% | — |
| Aider Polyglot | — | 60.4% |
| GSO | — | 1.3% |
| LiveBench Coding | — | 82.7% |
| CadEval | — | 54% |
| ALE-Bench | 763.98 | — |
Agentic & Tool Use o3-mini leads
Mistral Medium: 28.3 (#90), o3-mini: 29.6 (#84)
| Benchmark | Mistral Medium | o3-mini |
|---|---|---|
| Berkeley Function Calling Leaderboard | 37.7% | — |
| Cybench | — | 22.5% |
Reasoning Mistral Medium leads
Mistral Medium: 24.0 (#167), o3-mini: 16.3 (#305)
| Benchmark | Mistral Medium | o3-mini |
|---|---|---|
| CritPt | 0% | 0.3% |
| LMArena Hard Prompts | 1426 | 1366 |
| DTBench | 75.5% | 68.8% |
| LMCA | 26.1% | 19% |
| ARC-AGI-2 | — | 3% |
| SimpleBench | — | 22.8% |
| Kagi LLM Benchmark | 50% | — |
| ARC-AGI-1 | — | 34.5% |
| Chess Puzzles | — | 17% |
| LiveBench Reasoning | — | 89.6% |
| Mystery Game Puzzles | — | 7% |
| LiveBench Data Analysis | — | 70.6% |
| Surface Evolver Bench | 26.9% | — |
| Epoch Capabilities Index | — | 140.34 |
| ForecastBench | — | 59.6 |
| LiveBench | — | 75.9% |
Math Too close to call
Mistral Medium: 28.1 (#245), o3-mini: 28.1 (#244)
| Benchmark | Mistral Medium | o3-mini |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 32.2% | 76.9% |
| LMArena Math | 1408 | 1396 |
| MATH Level 5 | 81.6% | 96.5% |
| FrontierMath (Feb 2025 set) | 0.3% | 12.4% |
| FrontierMath (Tiers 1-3) | — | 18.6% |
| FrontierMath Tier 4 | — | 0% |
| ProofBench | 9% | — |
| LiveBench Math | — | 77.3% |
| FrontierMath Tier 4 (v1) | — | 4.2% |
Knowledge o3-mini leads
Mistral Medium: 25.0 (#265), o3-mini: 38.3 (#146)
| Benchmark | Mistral Medium | o3-mini |
|---|---|---|
| GPQA Diamond | 59.5% | 77% |
| LMArena Expert | 1408 | 1364 |
| Humanity's Last Exam | 4.5% | — |
| SimpleQA Verified | — | 15.3% |
| Confabulations | — | 17.9% |
| Vectara Hallucination Rate | 22.7% | — |
Multimodal Not comparable
Mistral Medium: 35.3 (#88), o3-mini: —
| Benchmark | Mistral Medium | o3-mini |
|---|---|---|
| LMArena Vision | 1172 | — |
Multilingual Mistral Medium leads
Mistral Medium: 52.1 (#91), o3-mini: 45.7 (#164)
| Benchmark | Mistral Medium | o3-mini |
|---|---|---|
| LMArena Non-English | 1408 | 1319 |
| LMArena Chinese | 1447 | 1379 |
| LMArena French | 1459 | 1334 |
| LMArena German | 1432 | 1303 |
| LMArena Japanese | 1378 | 1286 |
| LMArena Korean | 1380 | 1314 |
| LMArena Russian | 1411 | 1304 |
| LMArena Spanish | 1433 | 1321 |
Instruction Following o3-mini leads
Mistral Medium: 73.7 (#116), o3-mini: 75.1 (#72)
| Benchmark | Mistral Medium | o3-mini |
|---|---|---|
| LMArena Instruction Following | 1398 | 1337 |
| LiveBench Instruction Following | — | 84.4% |
Long Context Mistral Medium leads
Mistral Medium: 42.9 (#114), o3-mini: 33.8 (#256)
| Benchmark | Mistral Medium | o3-mini |
|---|---|---|
| LMArena Longer Query | 1406 | 1343 |
| Fiction.LiveBench | — | 50% |
Writing & Preference Mistral Medium leads
Mistral Medium: 60.0 (#103), o3-mini: 50.3 (#182)
| Benchmark | Mistral Medium | o3-mini |
|---|---|---|
| LMArena Text | 1424 | 1337 |
| LMArena Creative Writing | 1391 | 1286 |
| Short-Story Creative Writing | 77.3% | 61.7% |
| LMArena Multi-Turn | 1418 | 1320 |
| LiveBench Language | — | 50.7% |
Frequently asked questions
Is Mistral Medium better than o3-mini?
Mistral Medium and o3-mini score almost the same on the Noometry Index (36.3 vs 36.7), so choose on price, context window or the category you care about most.
Which is cheaper, Mistral Medium or o3-mini?
o3-mini is cheaper. It lists at $1.10 per million input tokens and $4.40 per million output tokens; Mistral Medium lists at $1.50 and $7.50.
Is Mistral Medium or o3-mini better for coding?
o3-mini scores higher on coding benchmarks: 40.8 versus 34.2 in the Noometry coding category.
Which has the bigger context window?
Mistral Medium does, with 262K tokens against 200K.
How many benchmarks do Mistral Medium and o3-mini share?
27 benchmarks have published results for both models. Mistral Medium has 36 scored results on Noometry and o3-mini has 51.