Model comparison
o1-mini vs Pixtral Large
o1-mini is the stronger model overall, scoring 34.0 to 32.2 on the Noometry Index.
Last verified . 0 shared benchmarks.
Mistral AISummary
- The widest gap is in writing & preference, where o1-mini leads 48.4 to 32.9.
- Pixtral Large has downloadable open weights; the other is API-only.
Side by side
| o1-mini | Pixtral Large | |
|---|---|---|
| Provider | OpenAI | Mistral AI |
| Noometry Index | 34.0 | 32.2 |
| Released | 2024-09-12 | 2024-11-01 |
| Weights | Proprietary | Open |
| Context window | — | 128K |
| Max output | — | 128K |
| Input $ / M tokens | — | $2 |
| Output $ / M tokens | — | $6 |
| Results tracked | 39 | 3 |
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Category by category
Coding Not comparable
o1-mini: 35.5 (#224), Pixtral Large: —
| Benchmark | o1-mini | Pixtral Large |
|---|---|---|
| Aider Polyglot | 32.9% | — |
| WeirdML | 36.3% | — |
| LiveBench Coding | 48% | — |
| LMArena Coding | 1362 | — |
| HumanEval+ | 89% | — |
| MBPP+ | 78.8% | — |
Agentic & Tool Use Not comparable
o1-mini: 24.6 (#118), Pixtral Large: —
| Benchmark | o1-mini | Pixtral Large |
|---|---|---|
| Cybench | 10% | — |
Reasoning Pixtral Large leads
o1-mini: 8.8 (#346), Pixtral Large: 21.7 (#218)
| Benchmark | o1-mini | Pixtral Large |
|---|---|---|
| ARC-AGI-2 | 0.8% | — |
| SimpleBench | 18.1% | — |
| ARC-AGI-1 | 14% | — |
| EnigmaEval | — | 0.8% |
| LiveBench Reasoning | 72.3% | — |
| LMArena Hard Prompts | 1333 | — |
| LiveBench Data Analysis | 57.9% | — |
| Epoch Capabilities Index | 135.82 | — |
| LiveBench | 57.8% | — |
Math Not comparable
o1-mini: 35.4 (#186), Pixtral Large: —
| Benchmark | o1-mini | Pixtral Large |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 46.9% | — |
| LiveBench Math | 62% | — |
| LMArena Math | 1358 | — |
| MATH Level 5 | 89.2% | — |
| FrontierMath (Feb 2025 set) | 1.7% | — |
Knowledge Not comparable
o1-mini: 34.9 (#192), Pixtral Large: —
| Benchmark | o1-mini | Pixtral Large |
|---|---|---|
| GPQA Diamond | 62.4% | — |
| Confabulations | 18.6% | — |
| LMArena Expert | 1316 | — |
Multimodal Not comparable
o1-mini: —, Pixtral Large: 30.6 (#111)
| Benchmark | o1-mini | Pixtral Large |
|---|---|---|
| LMArena Vision | — | 1089 |
Multilingual Not comparable
o1-mini: 43.6 (#182), Pixtral Large: —
| Benchmark | o1-mini | Pixtral Large |
|---|---|---|
| LMArena Non-English | 1289 | — |
| LMArena Chinese | 1314 | — |
| LMArena French | 1293 | — |
| LMArena German | 1278 | — |
| LMArena Japanese | 1245 | — |
| LMArena Korean | 1223 | — |
| LMArena Russian | 1283 | — |
| LMArena Spanish | 1303 | — |
Instruction Following Not comparable
o1-mini: 66.7 (#206), Pixtral Large: —
| Benchmark | o1-mini | Pixtral Large |
|---|---|---|
| LiveBench Instruction Following | 65.4% | — |
| LMArena Instruction Following | 1304 | — |
Long Context Not comparable
o1-mini: 40.1 (#161), Pixtral Large: —
| Benchmark | o1-mini | Pixtral Large |
|---|---|---|
| LMArena Longer Query | 1320 | — |
Writing & Preference o1-mini leads
o1-mini: 48.4 (#202), Pixtral Large: 32.9 (#278)
| Benchmark | o1-mini | Pixtral Large |
|---|---|---|
| LMArena Text | 1317 | — |
| LMArena Creative Writing | 1244 | — |
| Short-Story Creative Writing | 64.9% | — |
| EQ-Bench Creative Writing | — | 988 |
| LMArena Multi-Turn | 1314 | — |
| LiveBench Language | 40.9% | — |
Frequently asked questions
Is o1-mini better than Pixtral Large?
o1-mini is the stronger model overall, scoring 34.0 to 32.2 on the Noometry Index.
How many benchmarks do o1-mini and Pixtral Large share?
0 benchmarks have published results for both models. o1-mini has 39 scored results on Noometry and Pixtral Large has 3.