Model comparison
Mistral Large vs o1-pro
Mistral Large and o1-pro score almost the same on the Noometry Index (31.9 vs 31.5), so choose on price, context window or the category you care about most.
Last verified . 0 shared benchmarks.
Mistral AISummary
- The widest gap is in reasoning, where o1-pro leads 20.4 to 15.8.
- Mistral Large is cheaper at $2 / $6 per million input/output tokens, against $150 / $600 for o1-pro.
- o1-pro accepts more context: 200K tokens versus 131K.
- Mistral Large has downloadable open weights; the other is API-only.
Side by side
| Mistral Large | o1-pro | |
|---|---|---|
| Provider | Mistral AI | OpenAI |
| Noometry Index | 31.9 | 31.5 |
| Released | 2024-02-26 | 2025-03-19 |
| Weights | Open | Proprietary |
| Context window | 131K | 200K |
| Max output | 16K | 100K |
| Input $ / M tokens | $2 | $150 |
| Output $ / M tokens | $6 | $600 |
| Results tracked | 51 | 3 |
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Category by category
Coding Not comparable
Mistral Large: 34.3 (#240), o1-pro: —
| Benchmark | Mistral Large | o1-pro |
|---|---|---|
| SciCode | 36.2% | — |
| BigCodeBench Instruct | 30% | — |
| LiveBench Coding | 47.1% | — |
| LMArena Coding | 1277 | — |
| BigCodeBench Complete | 38.3% | — |
| ALE-Bench | 264.7 | — |
| HumanEval+ | 62.2% | — |
| MBPP+ | 59.5% | — |
Agentic & Tool Use Not comparable
Mistral Large: 28.6 (#89), o1-pro: —
| Benchmark | Mistral Large | o1-pro |
|---|---|---|
| Berkeley Function Calling Leaderboard | 38.4% | — |
Reasoning o1-pro leads
Mistral Large: 15.8 (#310), o1-pro: 20.4 (#239)
| Benchmark | Mistral Large | o1-pro |
|---|---|---|
| SimpleBench | 22.5% | — |
| ARC-AGI-1 | — | 23.3% |
| CritPt | 0% | — |
| EnigmaEval | — | 6.1% |
| LiveBench Reasoning | 43.5% | — |
| LMArena Hard Prompts | 1257 | — |
| DTBench | 65.1% | — |
| LiveBench Data Analysis | 50.1% | — |
| LMCA | 16.7% | — |
| Epoch Capabilities Index | 128.52 | — |
| ForecastBench | 57.1 | — |
| LiveBench | 48.4% | — |
Math Not comparable
Mistral Large: 18.2 (#291), o1-pro: —
| Benchmark | Mistral Large | o1-pro |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 8.5% | — |
| Omni-MATH | 28.1% | — |
| LiveBench Math | 42.5% | — |
| LMArena Math | 1262 | — |
| MATH Level 5 | 50.3% | — |
| FrontierMath (Feb 2025 set) | 0.3% | — |
Knowledge Too close to call
Mistral Large: 30.1 (#230), o1-pro: 29.7 (#234)
| Benchmark | Mistral Large | o1-pro |
|---|---|---|
| GPQA Diamond | 51.3% | — |
| Humanity's Last Exam | — | 8.1% |
| MMLU-Pro | 59.9% | — |
| Confabulations | 21.4% | — |
| Vectara Hallucination Rate | 4.5% | — |
| GPQA (HELM) | 43.5% | — |
| LMArena Expert | 1232 | — |
| MMLU | 80% | — |
Multilingual Not comparable
Mistral Large: 40.0 (#219), o1-pro: —
| Benchmark | Mistral Large | o1-pro |
|---|---|---|
| LMArena Non-English | 1237 | — |
| LMArena Chinese | 1240 | — |
| LMArena French | 1325 | — |
| LMArena German | 1254 | — |
| LMArena Japanese | 1188 | — |
| LMArena Korean | 1202 | — |
| LMArena Russian | 1257 | — |
| LMArena Spanish | 1268 | — |
Instruction Following Not comparable
Mistral Large: 67.9 (#191), o1-pro: —
| Benchmark | Mistral Large | o1-pro |
|---|---|---|
| LiveBench Instruction Following | 67.9% | — |
| IFEval | 87.7% | — |
| LMArena Instruction Following | 1249 | — |
Long Context Not comparable
Mistral Large: 38.3 (#199), o1-pro: —
| Benchmark | Mistral Large | o1-pro |
|---|---|---|
| LMArena Longer Query | 1261 | — |
Writing & Preference Not comparable
Mistral Large: 40.7 (#242), o1-pro: —
| Benchmark | Mistral Large | o1-pro |
|---|---|---|
| LMArena Text | 1266 | — |
| LMArena Creative Writing | 1243 | — |
| Short-Story Creative Writing | 69% | — |
| EQ-Bench Creative Writing | 985 | — |
| WildBench | 80.1% | — |
| LMArena Multi-Turn | 1260 | — |
| LiveBench Language | 39.4% | — |
Frequently asked questions
Is Mistral Large better than o1-pro?
Mistral Large and o1-pro score almost the same on the Noometry Index (31.9 vs 31.5), so choose on price, context window or the category you care about most.
Which is cheaper, Mistral Large or o1-pro?
Mistral Large is cheaper. It lists at $2 per million input tokens and $6 per million output tokens; o1-pro lists at $150 and $600.
Which has the bigger context window?
o1-pro does, with 200K tokens against 131K.
How many benchmarks do Mistral Large and o1-pro share?
0 benchmarks have published results for both models. Mistral Large has 51 scored results on Noometry and o1-pro has 3.