Model comparison
Mistral Large 4 vs o1
Mistral Large 4 is the stronger model overall, scoring 43.1 to 40.9 on the Noometry Index.
Last verified . 13 shared benchmarks.
Mistral AISummary
- They share 13 benchmarks with published results for both. Mistral Large 4 scores higher in 5 categories and o1 in 3 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in long context, where o1 leads 50.3 to 43.6.
- The biggest single-benchmark swing is SimpleQA Verified: 20% for Mistral Large 4 and 41.1% for o1.
- Mistral Large 4 is cheaper at $0.68 / $2.09 per million input/output tokens, against $15 / $60 for o1.
- Mistral Large 4 accepts more context: 1.05M tokens versus 200K.
Side by side
| Mistral Large 4 | o1 | |
|---|---|---|
| Provider | Mistral AI | OpenAI |
| Noometry Index | 43.1 | 40.9 |
| Released | 2026-10-06 | 2024-09-12 |
| Weights | Proprietary | Proprietary |
| Context window | 1.05M | 200K |
| Max output | 262K | 100K |
| Input $ / M tokens | $0.68 | $15 |
| Output $ / M tokens | $2.09 | $60 |
| Results tracked | 15 | 52 |
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Category by category
Coding Mistral Large 4 leads
Mistral Large 4: 48.6 (#57), o1: 46.1 (#70)
| Benchmark | Mistral Large 4 | o1 |
|---|---|---|
| LMArena Coding | 1475 | 1367 |
| Aider Polyglot | — | 61.7% |
| LMArena WebDev | 1541 | — |
| WeirdML | — | 47.6% |
| LiveBench Coding | — | 69.7% |
| CadEval | — | 56% |
| HumanEval+ | — | 89% |
| MBPP+ | — | 80.2% |
Agentic & Tool Use Not comparable
Mistral Large 4: —, o1: 24.6 (#117)
| Benchmark | Mistral Large 4 | o1 |
|---|---|---|
| Cybench | — | 10% |
| METR Time Horizons | — | 51.1% |
Reasoning o1 leads
Mistral Large 4: 22.5 (#192), o1: 27.9 (#111)
| Benchmark | Mistral Large 4 | o1 |
|---|---|---|
| LMArena Hard Prompts | 1444 | 1371 |
| SimpleBench | — | 41.7% |
| NYT Connections (extended) | 27.4% | — |
| 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% |
| Epoch Capabilities Index | — | 141.91 |
| LiveBench | — | 75.7% |
Math Mistral Large 4 leads
Mistral Large 4: 40.4 (#91), o1: 36.1 (#175)
| Benchmark | Mistral Large 4 | o1 |
|---|---|---|
| LMArena Math | 1488 | 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 Large 4: 36.6 (#166), o1: 41.5 (#110)
| Benchmark | Mistral Large 4 | o1 |
|---|---|---|
| SimpleQA Verified | 20% | 41.1% |
| LMArena Expert | 1447 | 1361 |
| GPQA Diamond | — | 76.8% |
| Humanity's Last Exam | — | 8% |
| Confabulations | — | 11.7% |
Multimodal Not comparable
Mistral Large 4: —, o1: 34.2 (#93)
| Benchmark | Mistral Large 4 | o1 |
|---|---|---|
| LMArena Vision | — | 1168 |
| GeoBench | — | 80% |
| VPCT | — | 37% |
| SpatialViz-Bench | — | 41.4% |
Multilingual Mistral Large 4 leads
Mistral Large 4: 52.6 (#82), o1: 48.6 (#142)
| Benchmark | Mistral Large 4 | o1 |
|---|---|---|
| LMArena Non-English | 1415 | 1358 |
| LMArena Chinese | 1491 | 1394 |
| LMArena Russian | 1414 | 1356 |
| LMArena French | — | 1344 |
| LMArena German | — | 1337 |
| LMArena Japanese | — | 1346 |
| LMArena Korean | — | 1396 |
| LMArena Spanish | — | 1345 |
Instruction Following Too close to call
Mistral Large 4: 75.0 (#76), o1: 74.8 (#86)
| Benchmark | Mistral Large 4 | o1 |
|---|---|---|
| LMArena Instruction Following | 1424 | 1367 |
| LiveBench Instruction Following | — | 81.5% |
Long Context o1 leads
Mistral Large 4: 43.6 (#89), o1: 50.3 (#9)
| Benchmark | Mistral Large 4 | o1 |
|---|---|---|
| LMArena Longer Query | 1429 | 1378 |
| Fiction.LiveBench | — | 83.3% |
Writing & Preference Mistral Large 4 leads
Mistral Large 4: 60.4 (#97), o1: 55.6 (#144)
| Benchmark | Mistral Large 4 | o1 |
|---|---|---|
| LMArena Text | 1427 | 1366 |
| LMArena Creative Writing | 1361 | 1348 |
| LMArena Multi-Turn | 1424 | 1369 |
| Short-Story Creative Writing | — | 70.2% |
| LiveBench Language | — | 65.4% |
Frequently asked questions
Is Mistral Large 4 better than o1?
Mistral Large 4 is the stronger model overall, scoring 43.1 to 40.9 on the Noometry Index.
Which is cheaper, Mistral Large 4 or o1?
Mistral Large 4 is cheaper. It lists at $0.68 per million input tokens and $2.09 per million output tokens; o1 lists at $15 and $60.
Is Mistral Large 4 or o1 better for coding?
Mistral Large 4 scores higher on coding benchmarks: 48.6 versus 46.1 in the Noometry coding category.
Which has the bigger context window?
Mistral Large 4 does, with 1.05M tokens against 200K.
How many benchmarks do Mistral Large 4 and o1 share?
13 benchmarks have published results for both models. Mistral Large 4 has 15 scored results on Noometry and o1 has 52.