Model comparison
Mistral Nemo vs o1-mini
o1-mini is the stronger model overall, scoring 34.0 to 26.4 on the Noometry Index.
Last verified . 3 shared benchmarks.
Mistral AISummary
- They share 3 benchmarks with published results for both. Mistral Nemo scores higher in 1 category and o1-mini in 4 categories; 5 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where o1-mini leads 34.9 to 12.3.
- The biggest single-benchmark swing is MATH Level 5: 10.8% for Mistral Nemo and 89.2% for o1-mini.
- Mistral Nemo has downloadable open weights; the other is API-only.
Side by side
| Mistral Nemo | o1-mini | |
|---|---|---|
| Provider | Mistral AI | OpenAI |
| Noometry Index | 26.4 | 34.0 |
| Released | 2024-07-01 | 2024-09-12 |
| Weights | Open | Proprietary |
| Context window | 128K | — |
| Max output | 128K | — |
| Input $ / M tokens | $0.15 | — |
| Output $ / M tokens | $0.15 | — |
| Results tracked | 10 | 39 |
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Category by category
Coding Not comparable
Mistral Nemo: —, o1-mini: 35.5 (#224)
| Benchmark | Mistral Nemo | o1-mini |
|---|---|---|
| Aider Polyglot | — | 32.9% |
| WeirdML | — | 36.3% |
| LiveBench Coding | — | 48% |
| LMArena Coding | — | 1362 |
| HumanEval+ | — | 89% |
| MBPP+ | — | 78.8% |
Agentic & Tool Use o1-mini leads
Mistral Nemo: 23.5 (#125), o1-mini: 24.6 (#118)
| Benchmark | Mistral Nemo | o1-mini |
|---|---|---|
| Berkeley Function Calling Leaderboard | 27.6% | — |
| Cybench | — | 10% |
| BALROG | 17.6% | — |
Reasoning Mistral Nemo leads
Mistral Nemo: 20.7 (#232), o1-mini: 8.8 (#346)
| Benchmark | Mistral Nemo | o1-mini |
|---|---|---|
| Epoch Capabilities Index | 118.68 | 135.82 |
| ARC-AGI-2 | — | 0.8% |
| SimpleBench | — | 18.1% |
| ARC-AGI-1 | — | 14% |
| LiveBench Reasoning | — | 72.3% |
| LMArena Hard Prompts | — | 1333 |
| DTBench | 48.6% | — |
| LiveBench Data Analysis | — | 57.9% |
| LiveBench | — | 57.8% |
| PIQA | 83.5% | — |
Math o1-mini leads
Mistral Nemo: 25.5 (#268), o1-mini: 35.4 (#186)
| Benchmark | Mistral Nemo | o1-mini |
|---|---|---|
| MATH Level 5 | 10.8% | 89.2% |
| OTIS Mock AIME 2024-2025 | — | 46.9% |
| LiveBench Math | — | 62% |
| LMArena Math | — | 1358 |
| FrontierMath (Feb 2025 set) | — | 1.7% |
| GSM8K | 84.2% | — |
Knowledge o1-mini leads
Mistral Nemo: 12.3 (#298), o1-mini: 34.9 (#192)
| Benchmark | Mistral Nemo | o1-mini |
|---|---|---|
| GPQA Diamond | 29.9% | 62.4% |
| Confabulations | — | 18.6% |
| LMArena Expert | — | 1316 |
| BoolQ | 82.5% | — |
Multilingual Not comparable
Mistral Nemo: —, o1-mini: 43.6 (#182)
| Benchmark | Mistral Nemo | o1-mini |
|---|---|---|
| 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
Mistral Nemo: —, o1-mini: 66.7 (#206)
| Benchmark | Mistral Nemo | o1-mini |
|---|---|---|
| LiveBench Instruction Following | — | 65.4% |
| LMArena Instruction Following | — | 1304 |
Long Context Not comparable
Mistral Nemo: —, o1-mini: 40.1 (#161)
| Benchmark | Mistral Nemo | o1-mini |
|---|---|---|
| LMArena Longer Query | — | 1320 |
Writing & Preference o1-mini leads
Mistral Nemo: 28.5 (#296), o1-mini: 48.4 (#202)
| Benchmark | Mistral Nemo | o1-mini |
|---|---|---|
| LMArena Text | — | 1317 |
| LMArena Creative Writing | — | 1244 |
| Short-Story Creative Writing | — | 64.9% |
| EQ-Bench Creative Writing | 881 | — |
| LMArena Multi-Turn | — | 1314 |
| LiveBench Language | — | 40.9% |
Frequently asked questions
Is Mistral Nemo better than o1-mini?
o1-mini is the stronger model overall, scoring 34.0 to 26.4 on the Noometry Index.
How many benchmarks do Mistral Nemo and o1-mini share?
3 benchmarks have published results for both models. Mistral Nemo has 10 scored results on Noometry and o1-mini has 39.