Model comparison
Mistral Medium 3.1 vs o1
o1 is the stronger model overall, scoring 40.9 to 31.9 on the Noometry Index. Mistral Medium 3.1 costs 33× less per token, which makes it the better buy when o1's lead doesn't matter for your workload.
Last verified . 0 shared benchmarks.
Mistral AISummary
- The widest gap is in reasoning, where o1 leads 27.9 to 10.6.
- Mistral Medium 3.1 is cheaper at $0.40 / $2 per million input/output tokens, against $15 / $60 for o1.
- o1 accepts more context: 200K tokens versus 131K.
Side by side
| Mistral Medium 3.1 | o1 | |
|---|---|---|
| Provider | Mistral AI | OpenAI |
| Noometry Index | 31.9 | 40.9 |
| Released | — | 2024-09-12 |
| Weights | Proprietary | Proprietary |
| Context window | 131K | 200K |
| Max output | 105K | 100K |
| Input $ / M tokens | $0.40 | $15 |
| Output $ / M tokens | $2 | $60 |
| Results tracked | 3 | 52 |
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Category by category
Coding Not comparable
Mistral Medium 3.1: —, o1: 46.1 (#70)
| Benchmark | Mistral Medium 3.1 | o1 |
|---|---|---|
| Aider Polyglot | — | 61.7% |
| WeirdML | — | 47.6% |
| LiveBench Coding | — | 69.7% |
| LMArena Coding | — | 1367 |
| CadEval | — | 56% |
| HumanEval+ | — | 89% |
| MBPP+ | — | 80.2% |
Agentic & Tool Use Not comparable
Mistral Medium 3.1: —, o1: 24.6 (#117)
| Benchmark | Mistral Medium 3.1 | o1 |
|---|---|---|
| Cybench | — | 10% |
| METR Time Horizons | — | 51.1% |
Reasoning o1 leads
Mistral Medium 3.1: 10.6 (#341), o1: 27.9 (#111)
| Benchmark | Mistral Medium 3.1 | o1 |
|---|---|---|
| SimpleBench | — | 41.7% |
| NYT Connections (extended) | 6.5% | — |
| ARC-AGI-1 | — | 30.7% |
| Chess Puzzles | — | 15% |
| EnigmaEval | — | 5.7% |
| Thematic Generalization | 20.3% | — |
| LiveBench Reasoning | — | 91.6% |
| LMArena Hard Prompts | — | 1371 |
| DTBench | — | 74.7% |
| LiveBench Data Analysis | — | 65.5% |
| LMCA | — | 22.3% |
| Epoch Capabilities Index | — | 141.91 |
| LiveBench | — | 75.7% |
Math Not comparable
Mistral Medium 3.1: —, o1: 36.1 (#175)
| Benchmark | Mistral Medium 3.1 | o1 |
|---|---|---|
| FrontierMath (Tiers 1-3) | — | 14.7% |
| OTIS Mock AIME 2024-2025 | — | 73.3% |
| LiveBench Math | — | 80.3% |
| LMArena Math | — | 1388 |
| MATH Level 5 | — | 94.7% |
| FrontierMath (Feb 2025 set) | — | 9.3% |
Knowledge Not comparable
Mistral Medium 3.1: —, o1: 41.5 (#110)
| Benchmark | Mistral Medium 3.1 | o1 |
|---|---|---|
| GPQA Diamond | — | 76.8% |
| Humanity's Last Exam | — | 8% |
| SimpleQA Verified | — | 41.1% |
| Confabulations | — | 11.7% |
| LMArena Expert | — | 1361 |
Multimodal Not comparable
Mistral Medium 3.1: —, o1: 34.2 (#93)
| Benchmark | Mistral Medium 3.1 | o1 |
|---|---|---|
| LMArena Vision | — | 1168 |
| GeoBench | — | 80% |
| VPCT | — | 37% |
| SpatialViz-Bench | — | 41.4% |
Multilingual Not comparable
Mistral Medium 3.1: —, o1: 48.6 (#142)
| Benchmark | Mistral Medium 3.1 | o1 |
|---|---|---|
| LMArena Non-English | — | 1358 |
| LMArena Chinese | — | 1394 |
| LMArena French | — | 1344 |
| LMArena German | — | 1337 |
| LMArena Japanese | — | 1346 |
| LMArena Korean | — | 1396 |
| LMArena Russian | — | 1356 |
| LMArena Spanish | — | 1345 |
Instruction Following Not comparable
Mistral Medium 3.1: —, o1: 74.8 (#86)
| Benchmark | Mistral Medium 3.1 | o1 |
|---|---|---|
| LiveBench Instruction Following | — | 81.5% |
| LMArena Instruction Following | — | 1367 |
Long Context Not comparable
Mistral Medium 3.1: —, o1: 50.3 (#9)
| Benchmark | Mistral Medium 3.1 | o1 |
|---|---|---|
| Fiction.LiveBench | — | 83.3% |
| LMArena Longer Query | — | 1378 |
Writing & Preference Too close to call
Mistral Medium 3.1: 55.5 (#145), o1: 55.6 (#144)
| Benchmark | Mistral Medium 3.1 | o1 |
|---|---|---|
| LMArena Text | — | 1366 |
| LMArena Creative Writing | — | 1348 |
| Short-Story Creative Writing | — | 70.2% |
| EQ-Bench Creative Writing | 1476 | — |
| LMArena Multi-Turn | — | 1369 |
| LiveBench Language | — | 65.4% |
Frequently asked questions
Is Mistral Medium 3.1 better than o1?
o1 is the stronger model overall, scoring 40.9 to 31.9 on the Noometry Index. Mistral Medium 3.1 costs 33× less per token, which makes it the better buy when o1's lead doesn't matter for your workload.
Which is cheaper, Mistral Medium 3.1 or o1?
Mistral Medium 3.1 is cheaper. It lists at $0.40 per million input tokens and $2 per million output tokens; o1 lists at $15 and $60.
Which has the bigger context window?
o1 does, with 200K tokens against 131K.
How many benchmarks do Mistral Medium 3.1 and o1 share?
0 benchmarks have published results for both models. Mistral Medium 3.1 has 3 scored results on Noometry and o1 has 52.