Model comparison
Mistral Nemo vs o1
o1 is the stronger model overall, scoring 40.9 to 26.4 on the Noometry Index. Mistral Nemo costs 175× less per token, which makes it the better buy when o1's lead doesn't matter for your workload.
Last verified . 4 shared benchmarks.
Mistral AISummary
- They share 4 benchmarks with published results for both. Mistral Nemo scores higher in 0 categories and o1 in 5 categories; 5 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where o1 leads 41.5 to 12.3.
- The biggest single-benchmark swing is MATH Level 5: 10.8% for Mistral Nemo and 94.7% for o1.
- Mistral Nemo is cheaper at $0.15 / $0.15 per million input/output tokens, against $15 / $60 for o1.
- o1 accepts more context: 200K tokens versus 128K.
- Mistral Nemo has downloadable open weights; the other is API-only.
Side by side
| Mistral Nemo | o1 | |
|---|---|---|
| Provider | Mistral AI | OpenAI |
| Noometry Index | 26.4 | 40.9 |
| Released | 2024-07-01 | 2024-09-12 |
| Weights | Open | Proprietary |
| Context window | 128K | 200K |
| Max output | 128K | 100K |
| Input $ / M tokens | $0.15 | $15 |
| Output $ / M tokens | $0.15 | $60 |
| Results tracked | 10 | 52 |
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Category by category
Coding Not comparable
Mistral Nemo: —, o1: 46.1 (#70)
| Benchmark | Mistral Nemo | o1 |
|---|---|---|
| Aider Polyglot | — | 61.7% |
| WeirdML | — | 47.6% |
| LiveBench Coding | — | 69.7% |
| LMArena Coding | — | 1367 |
| CadEval | — | 56% |
| HumanEval+ | — | 89% |
| MBPP+ | — | 80.2% |
Agentic & Tool Use o1 leads
Mistral Nemo: 23.5 (#125), o1: 24.6 (#117)
| Benchmark | Mistral Nemo | o1 |
|---|---|---|
| Berkeley Function Calling Leaderboard | 27.6% | — |
| Cybench | — | 10% |
| BALROG | 17.6% | — |
| METR Time Horizons | — | 51.1% |
Reasoning o1 leads
Mistral Nemo: 20.7 (#232), o1: 27.9 (#111)
| Benchmark | Mistral Nemo | o1 |
|---|---|---|
| DTBench | 48.6% | 74.7% |
| Epoch Capabilities Index | 118.68 | 141.91 |
| SimpleBench | — | 41.7% |
| ARC-AGI-1 | — | 30.7% |
| Chess Puzzles | — | 15% |
| EnigmaEval | — | 5.7% |
| LiveBench Reasoning | — | 91.6% |
| LMArena Hard Prompts | — | 1371 |
| LiveBench Data Analysis | — | 65.5% |
| LMCA | — | 22.3% |
| LiveBench | — | 75.7% |
| PIQA | 83.5% | — |
Math o1 leads
Mistral Nemo: 25.5 (#268), o1: 36.1 (#175)
| Benchmark | Mistral Nemo | o1 |
|---|---|---|
| MATH Level 5 | 10.8% | 94.7% |
| FrontierMath (Tiers 1-3) | — | 14.7% |
| OTIS Mock AIME 2024-2025 | — | 73.3% |
| LiveBench Math | — | 80.3% |
| LMArena Math | — | 1388 |
| FrontierMath (Feb 2025 set) | — | 9.3% |
| GSM8K | 84.2% | — |
Knowledge o1 leads
Mistral Nemo: 12.3 (#298), o1: 41.5 (#110)
| Benchmark | Mistral Nemo | o1 |
|---|---|---|
| GPQA Diamond | 29.9% | 76.8% |
| Humanity's Last Exam | — | 8% |
| SimpleQA Verified | — | 41.1% |
| Confabulations | — | 11.7% |
| LMArena Expert | — | 1361 |
| BoolQ | 82.5% | — |
Multimodal Not comparable
Mistral Nemo: —, o1: 34.2 (#93)
| Benchmark | Mistral Nemo | o1 |
|---|---|---|
| LMArena Vision | — | 1168 |
| GeoBench | — | 80% |
| VPCT | — | 37% |
| SpatialViz-Bench | — | 41.4% |
Multilingual Not comparable
Mistral Nemo: —, o1: 48.6 (#142)
| Benchmark | Mistral Nemo | o1 |
|---|---|---|
| LMArena Non-English | — | 1358 |
| LMArena Chinese | — | 1394 |
| LMArena French | — | 1344 |
| LMArena German | — | 1337 |
| LMArena Japanese | — | 1346 |
| LMArena Korean | — | 1396 |
| LMArena Russian | — | 1356 |
| LMArena Spanish | — | 1345 |
Instruction Following Not comparable
Mistral Nemo: —, o1: 74.8 (#86)
| Benchmark | Mistral Nemo | o1 |
|---|---|---|
| LiveBench Instruction Following | — | 81.5% |
| LMArena Instruction Following | — | 1367 |
Long Context Not comparable
Mistral Nemo: —, o1: 50.3 (#9)
| Benchmark | Mistral Nemo | o1 |
|---|---|---|
| Fiction.LiveBench | — | 83.3% |
| LMArena Longer Query | — | 1378 |
Writing & Preference o1 leads
Mistral Nemo: 28.5 (#296), o1: 55.6 (#144)
| Benchmark | Mistral Nemo | o1 |
|---|---|---|
| LMArena Text | — | 1366 |
| LMArena Creative Writing | — | 1348 |
| Short-Story Creative Writing | — | 70.2% |
| EQ-Bench Creative Writing | 881 | — |
| LMArena Multi-Turn | — | 1369 |
| LiveBench Language | — | 65.4% |
Frequently asked questions
Is Mistral Nemo better than o1?
o1 is the stronger model overall, scoring 40.9 to 26.4 on the Noometry Index. Mistral Nemo costs 175× less per token, which makes it the better buy when o1's lead doesn't matter for your workload.
Which is cheaper, Mistral Nemo or o1?
Mistral Nemo is cheaper. It lists at $0.15 per million input tokens and $0.15 per million output tokens; o1 lists at $15 and $60.
Which has the bigger context window?
o1 does, with 200K tokens against 128K.
How many benchmarks do Mistral Nemo and o1 share?
4 benchmarks have published results for both models. Mistral Nemo has 10 scored results on Noometry and o1 has 52.