Model comparison
Mistral Medium 3.5 vs o1
Mistral Medium 3.5 and o1 score almost the same on the Noometry Index (40.2 vs 40.9), so choose on price, context window or the category you care about most.
Last verified . 18 shared benchmarks.
Mistral AISummary
- They share 18 benchmarks with published results for both. Mistral Medium 3.5 scores higher in 4 categories and o1 in 5 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where o1 leads 27.9 to 17.3.
- Mistral Medium 3.5 is cheaper at $1.50 / $7.50 per million input/output tokens, against $15 / $60 for o1.
- Mistral Medium 3.5 accepts more context: 262K tokens versus 200K.
- Mistral Medium 3.5 has downloadable open weights; the other is API-only.
Side by side
| Mistral Medium 3.5 | o1 | |
|---|---|---|
| Provider | Mistral AI | OpenAI |
| Noometry Index | 40.2 | 40.9 |
| Released | — | 2024-09-12 |
| Weights | Open | Proprietary |
| Context window | 262K | 200K |
| Max output | 210K | 100K |
| Input $ / M tokens | $1.50 | $15 |
| Output $ / M tokens | $7.50 | $60 |
| Results tracked | 22 | 52 |
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Category by category
Coding o1 leads
Mistral Medium 3.5: 36.0 (#213), o1: 46.1 (#70)
| Benchmark | Mistral Medium 3.5 | o1 |
|---|---|---|
| LMArena Coding | 1461 | 1367 |
| Aider Polyglot | — | 61.7% |
| LMArena WebDev | 1264 | — |
| WeirdML | — | 47.6% |
| LiveBench Coding | — | 69.7% |
| CadEval | — | 56% |
| HumanEval+ | — | 89% |
| MBPP+ | — | 80.2% |
Agentic & Tool Use Not comparable
Mistral Medium 3.5: —, o1: 24.6 (#117)
| Benchmark | Mistral Medium 3.5 | o1 |
|---|---|---|
| Cybench | — | 10% |
| METR Time Horizons | — | 51.1% |
Reasoning o1 leads
Mistral Medium 3.5: 17.3 (#295), o1: 27.9 (#111)
| Benchmark | Mistral Medium 3.5 | o1 |
|---|---|---|
| LMArena Hard Prompts | 1436 | 1371 |
| Epoch Capabilities Index | 141.35 | 141.91 |
| SimpleBench | — | 41.7% |
| Kagi LLM Benchmark | 41.4% | — |
| NYT Connections (extended) | 12.9% | — |
| ARC-AGI-1 | — | 30.7% |
| Chess Puzzles | — | 15% |
| EnigmaEval | — | 5.7% |
| LiveBench Reasoning | — | 91.6% |
| DTBench | — | 74.7% |
| LiveBench Data Analysis | — | 65.5% |
| LMCA | — | 22.3% |
| LiveBench | — | 75.7% |
Math Mistral Medium 3.5 leads
Mistral Medium 3.5: 39.1 (#113), o1: 36.1 (#175)
| Benchmark | Mistral Medium 3.5 | o1 |
|---|---|---|
| LMArena Math | 1431 | 1388 |
| FrontierMath (Tiers 1-3) | — | 14.7% |
| OTIS Mock AIME 2024-2025 | — | 73.3% |
| LiveBench Math | — | 80.3% |
| MATH Level 5 | — | 94.7% |
| FrontierMath (Feb 2025 set) | — | 9.3% |
Knowledge o1 leads
Mistral Medium 3.5: 40.0 (#126), o1: 41.5 (#110)
| Benchmark | Mistral Medium 3.5 | o1 |
|---|---|---|
| LMArena Expert | 1432 | 1361 |
| GPQA Diamond | — | 76.8% |
| Humanity's Last Exam | — | 8% |
| SimpleQA Verified | — | 41.1% |
| Confabulations | — | 11.7% |
Multimodal Mistral Medium 3.5 leads
Mistral Medium 3.5: 38.3 (#65), o1: 34.2 (#93)
| Benchmark | Mistral Medium 3.5 | o1 |
|---|---|---|
| LMArena Vision | 1223 | 1168 |
| GeoBench | — | 80% |
| VPCT | — | 37% |
| SpatialViz-Bench | — | 41.4% |
Multilingual Mistral Medium 3.5 leads
Mistral Medium 3.5: 51.9 (#100), o1: 48.6 (#142)
| Benchmark | Mistral Medium 3.5 | o1 |
|---|---|---|
| LMArena Non-English | 1404 | 1358 |
| LMArena Chinese | 1442 | 1394 |
| LMArena French | 1448 | 1344 |
| LMArena German | 1451 | 1337 |
| LMArena Korean | 1385 | 1396 |
| LMArena Russian | 1395 | 1356 |
| LMArena Spanish | 1409 | 1345 |
| LMArena Japanese | — | 1346 |
Instruction Following Too close to call
Mistral Medium 3.5: 74.6 (#90), o1: 74.8 (#86)
| Benchmark | Mistral Medium 3.5 | o1 |
|---|---|---|
| LMArena Instruction Following | 1415 | 1367 |
| LiveBench Instruction Following | — | 81.5% |
Long Context o1 leads
Mistral Medium 3.5: 43.2 (#103), o1: 50.3 (#9)
| Benchmark | Mistral Medium 3.5 | o1 |
|---|---|---|
| LMArena Longer Query | 1415 | 1378 |
| Fiction.LiveBench | — | 83.3% |
Writing & Preference Mistral Medium 3.5 leads
Mistral Medium 3.5: 58.5 (#117), o1: 55.6 (#144)
| Benchmark | Mistral Medium 3.5 | o1 |
|---|---|---|
| LMArena Text | 1421 | 1366 |
| LMArena Creative Writing | 1374 | 1348 |
| LMArena Multi-Turn | 1423 | 1369 |
| Short-Story Creative Writing | — | 70.2% |
| EQ-Bench 4 | 993 | — |
| LiveBench Language | — | 65.4% |
Frequently asked questions
Is Mistral Medium 3.5 better than o1?
Mistral Medium 3.5 and o1 score almost the same on the Noometry Index (40.2 vs 40.9), so choose on price, context window or the category you care about most.
Which is cheaper, Mistral Medium 3.5 or o1?
Mistral Medium 3.5 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 3.5 or o1 better for coding?
o1 scores higher on coding benchmarks: 46.1 versus 36.0 in the Noometry coding category.
Which has the bigger context window?
Mistral Medium 3.5 does, with 262K tokens against 200K.
How many benchmarks do Mistral Medium 3.5 and o1 share?
18 benchmarks have published results for both models. Mistral Medium 3.5 has 22 scored results on Noometry and o1 has 52.