# Mistral Medium vs o1

> o1 is the stronger model overall, scoring 40.9 to 36.3 on the Noometry Index. Mistral Medium costs 8.8× less per token, which makes it the better buy when o1's lead doesn't matter for your workload.

- Canonical page: https://noometry.com/compare/mistral-medium-vs-o1
- 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 o1 in 6 categories; 10 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where o1 leads 41.5 to 25.0.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 32.2% for Mistral Medium and 73.3% for o1.
- Mistral Medium is cheaper at $1.50 / $7.50 per million input/output tokens, against $15 / $60 for o1.
- Mistral Medium accepts more context: 262K tokens versus 200K.
- Mistral Medium has downloadable open weights; the other is API-only.

## Snapshot

| | Mistral Medium | o1 |
|---|---|---|
| Provider | Mistral AI | OpenAI |
| Noometry Index | 36.3 | 40.9 |
| Rank | 218 | 143 |
| Context | 262K | 200K |
| Input $/M | $1.50 | $15 |
| Output $/M | $7.50 | $60 |
| Weights | Open | Proprietary |

## Coding

- Mistral Medium: 34.2 (#243)
- o1: 46.1 (#70)

| Benchmark | Mistral Medium | o1 |
|---|---|---|
| WeirdML | 43.7% | 47.6% |
| LMArena Coding | 1434 | 1367 |
| FrontierCode | 8% | — |
| Aider Polyglot | — | 61.7% |
| SciCode | 40.2% | — |
| LiveBench Coding | — | 69.7% |
| CadEval | — | 56% |
| ALE-Bench | 763.98 | — |
| HumanEval+ | — | 89% |
| MBPP+ | — | 80.2% |

## Agentic & Tool Use

- Mistral Medium: 28.3 (#90)
- o1: 24.6 (#117)

| Benchmark | Mistral Medium | o1 |
|---|---|---|
| Berkeley Function Calling Leaderboard | 37.7% | — |
| Cybench | — | 10% |
| METR Time Horizons | — | 51.1% |

## Reasoning

- Mistral Medium: 24.0 (#167)
- o1: 27.9 (#111)

| Benchmark | Mistral Medium | o1 |
|---|---|---|
| LMArena Hard Prompts | 1426 | 1371 |
| DTBench | 75.5% | 74.7% |
| LMCA | 26.1% | 22.3% |
| SimpleBench | — | 41.7% |
| Kagi LLM Benchmark | 50% | — |
| ARC-AGI-1 | — | 30.7% |
| CritPt | 0% | — |
| Chess Puzzles | — | 15% |
| EnigmaEval | — | 5.7% |
| LiveBench Reasoning | — | 91.6% |
| LiveBench Data Analysis | — | 65.5% |
| Surface Evolver Bench | 26.9% | — |
| Epoch Capabilities Index | — | 141.91 |
| LiveBench | — | 75.7% |

## Math

- Mistral Medium: 28.1 (#245)
- o1: 36.1 (#175)

| Benchmark | Mistral Medium | o1 |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 32.2% | 73.3% |
| LMArena Math | 1408 | 1388 |
| MATH Level 5 | 81.6% | 94.7% |
| FrontierMath (Feb 2025 set) | 0.3% | 9.3% |
| FrontierMath (Tiers 1-3) | — | 14.7% |
| ProofBench | 9% | — |
| LiveBench Math | — | 80.3% |

## Knowledge

- Mistral Medium: 25.0 (#265)
- o1: 41.5 (#110)

| Benchmark | Mistral Medium | o1 |
|---|---|---|
| GPQA Diamond | 59.5% | 76.8% |
| Humanity's Last Exam | 4.5% | 8% |
| LMArena Expert | 1408 | 1361 |
| SimpleQA Verified | — | 41.1% |
| Confabulations | — | 11.7% |
| Vectara Hallucination Rate | 22.7% | — |

## Multimodal

- Mistral Medium: 35.3 (#88)
- o1: 34.2 (#93)

| Benchmark | Mistral Medium | o1 |
|---|---|---|
| LMArena Vision | 1172 | 1168 |
| GeoBench | — | 80% |
| VPCT | — | 37% |
| SpatialViz-Bench | — | 41.4% |

## Multilingual

- Mistral Medium: 52.1 (#91)
- o1: 48.6 (#142)

| Benchmark | Mistral Medium | o1 |
|---|---|---|
| LMArena Non-English | 1408 | 1358 |
| LMArena Chinese | 1447 | 1394 |
| LMArena French | 1459 | 1344 |
| LMArena German | 1432 | 1337 |
| LMArena Japanese | 1378 | 1346 |
| LMArena Korean | 1380 | 1396 |
| LMArena Russian | 1411 | 1356 |
| LMArena Spanish | 1433 | 1345 |

## Instruction Following

- Mistral Medium: 73.7 (#116)
- o1: 74.8 (#86)

| Benchmark | Mistral Medium | o1 |
|---|---|---|
| LMArena Instruction Following | 1398 | 1367 |
| LiveBench Instruction Following | — | 81.5% |

## Long Context

- Mistral Medium: 42.9 (#114)
- o1: 50.3 (#9)

| Benchmark | Mistral Medium | o1 |
|---|---|---|
| LMArena Longer Query | 1406 | 1378 |
| Fiction.LiveBench | — | 83.3% |

## Writing & Preference

- Mistral Medium: 60.0 (#103)
- o1: 55.6 (#144)

| Benchmark | Mistral Medium | o1 |
|---|---|---|
| LMArena Text | 1424 | 1366 |
| LMArena Creative Writing | 1391 | 1348 |
| Short-Story Creative Writing | 77.3% | 70.2% |
| LMArena Multi-Turn | 1418 | 1369 |
| LiveBench Language | — | 65.4% |

## FAQ

### Is Mistral Medium better than o1?

o1 is the stronger model overall, scoring 40.9 to 36.3 on the Noometry Index. Mistral Medium costs 8.8× less per token, which makes it the better buy when o1's lead doesn't matter for your workload.

### Which is cheaper, Mistral Medium or o1?

Mistral Medium is cheaper. It lists at $1.50 per million input tokens and $7.50 per million output tokens; o1 lists at $15 and $60.

### Is Mistral Medium or o1 better for coding?

o1 scores higher on coding benchmarks: 46.1 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 o1 share?

27 benchmarks have published results for both models. Mistral Medium has 36 scored results on Noometry and o1 has 52.