# 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.

- Canonical page: https://noometry.com/compare/mistral-medium-vs-o3-mini
- Last updated: 2026-10-11
- Shared benchmarks: 27

## Summary

- 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.

## Snapshot

| | Mistral Medium | o3-mini |
|---|---|---|
| Provider | Mistral AI | OpenAI |
| Noometry Index | 36.3 | 36.7 |
| Rank | 218 | 212 |
| Context | 262K | 200K |
| Input $/M | $1.50 | $1.10 |
| Output $/M | $7.50 | $4.40 |
| Weights | Open | Proprietary |

## Coding

- 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

- 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: 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

- 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

- 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

- Mistral Medium: 35.3 (#88)
- o3-mini: —

| Benchmark | Mistral Medium | o3-mini |
|---|---|---|
| LMArena Vision | 1172 | — |

## Multilingual

- 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

- 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: 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: 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% |

## FAQ

### 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.