Model comparison
Mistral 7B vs o1
o1 is the stronger model overall, scoring 40.9 to 23.0 on the Noometry Index. Mistral 7B costs 105× less per token, which makes it the better buy when o1's lead doesn't matter for your workload.
Last verified . 24 shared benchmarks.
Mistral AISummary
- They share 24 benchmarks with published results for both. Mistral 7B scores higher in 0 categories and o1 in 8 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where o1 leads 41.5 to 7.4.
- The biggest single-benchmark swing is MATH Level 5: 3.7% for Mistral 7B and 94.7% for o1.
- Mistral 7B is cheaper at $0.25 / $0.25 per million input/output tokens, against $15 / $60 for o1.
- o1 accepts more context: 200K tokens versus 8K.
- Mistral 7B has downloadable open weights; the other is API-only.
Side by side
| Mistral 7B | o1 | |
|---|---|---|
| Provider | Mistral AI | OpenAI |
| Noometry Index | 23.0 | 40.9 |
| Released | 2023-09-27 | 2024-09-12 |
| Weights | Open | Proprietary |
| Context window | 8K | 200K |
| Max output | 8K | 100K |
| Input $ / M tokens | $0.25 | $15 |
| Output $ / M tokens | $0.25 | $60 |
| Results tracked | 37 | 52 |
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Category by category
Coding o1 leads
Mistral 7B: 26.4 (#326), o1: 46.1 (#70)
| Benchmark | Mistral 7B | o1 |
|---|---|---|
| LMArena Coding | 1082 | 1367 |
| HumanEval+ | 36% | 89% |
| MBPP+ | 42.1% | 80.2% |
| Aider Polyglot | — | 61.7% |
| WeirdML | — | 47.6% |
| BigCodeBench Instruct | 19.5% | — |
| LiveBench Coding | — | 69.7% |
| BigCodeBench Complete | 27.3% | — |
| CadEval | — | 56% |
Agentic & Tool Use Not comparable
Mistral 7B: —, o1: 24.6 (#117)
| Benchmark | Mistral 7B | o1 |
|---|---|---|
| Cybench | — | 10% |
| METR Time Horizons | — | 51.1% |
Reasoning o1 leads
Mistral 7B: 13.1 (#336), o1: 27.9 (#111)
| Benchmark | Mistral 7B | o1 |
|---|---|---|
| Chess Puzzles | 0% | 15% |
| LMArena Hard Prompts | 1067 | 1371 |
| DTBench | 42.5% | 74.7% |
| Epoch Capabilities Index | 112.21 | 141.91 |
| SimpleBench | — | 41.7% |
| ARC-AGI-1 | — | 30.7% |
| EnigmaEval | — | 5.7% |
| LiveBench Reasoning | — | 91.6% |
| LiveBench Data Analysis | — | 65.5% |
| LMCA | — | 22.3% |
| Adversarial NLI | 47.1% | — |
| BIG-Bench Hard | 56.1% | — |
| HellaSwag | 81% | — |
| LiveBench | — | 75.7% |
| PIQA | 83% | — |
| WinoGrande | 75.3% | — |
Math o1 leads
Mistral 7B: 8.1 (#325), o1: 36.1 (#175)
| Benchmark | Mistral 7B | o1 |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 0.3% | 73.3% |
| LMArena Math | 1085 | 1388 |
| MATH Level 5 | 3.7% | 94.7% |
| FrontierMath (Tiers 1-3) | — | 14.7% |
| LiveBench Math | — | 80.3% |
| FrontierMath (Feb 2025 set) | — | 9.3% |
| GSM8K | 54.4% | — |
Knowledge o1 leads
Mistral 7B: 7.4 (#311), o1: 41.5 (#110)
| Benchmark | Mistral 7B | o1 |
|---|---|---|
| GPQA Diamond | 15.2% | 76.8% |
| LMArena Expert | 1036 | 1361 |
| Humanity's Last Exam | — | 8% |
| SimpleQA Verified | — | 41.1% |
| Confabulations | — | 11.7% |
| ARC (AI2) Challenge | 78.6% | — |
| BoolQ | 87.4% | — |
| MMLU | 62.5% | — |
| OpenBookQA | 79.8% | — |
| TriviaQA | 75.2% | — |
Multimodal Not comparable
Mistral 7B: —, o1: 34.2 (#93)
| Benchmark | Mistral 7B | o1 |
|---|---|---|
| LMArena Vision | — | 1168 |
| GeoBench | — | 80% |
| VPCT | — | 37% |
| SpatialViz-Bench | — | 41.4% |
Multilingual o1 leads
Mistral 7B: 25.8 (#283), o1: 48.6 (#142)
| Benchmark | Mistral 7B | o1 |
|---|---|---|
| LMArena Non-English | 1012 | 1358 |
| LMArena Chinese | 1009 | 1394 |
| LMArena French | 1037 | 1344 |
| LMArena German | 987 | 1337 |
| LMArena Japanese | 878 | 1346 |
| LMArena Russian | 1018 | 1356 |
| LMArena Spanish | 1026 | 1345 |
| LMArena Korean | — | 1396 |
Instruction Following o1 leads
Mistral 7B: 54.2 (#280), o1: 74.8 (#86)
| Benchmark | Mistral 7B | o1 |
|---|---|---|
| LMArena Instruction Following | 1060 | 1367 |
| LiveBench Instruction Following | — | 81.5% |
Long Context o1 leads
Mistral 7B: 32.2 (#271), o1: 50.3 (#9)
| Benchmark | Mistral 7B | o1 |
|---|---|---|
| LMArena Longer Query | 1060 | 1378 |
| Fiction.LiveBench | — | 83.3% |
Writing & Preference o1 leads
Mistral 7B: 30.7 (#286), o1: 55.6 (#144)
| Benchmark | Mistral 7B | o1 |
|---|---|---|
| LMArena Text | 1090 | 1366 |
| LMArena Creative Writing | 1068 | 1348 |
| LMArena Multi-Turn | 1062 | 1369 |
| Short-Story Creative Writing | — | 70.2% |
| LiveBench Language | — | 65.4% |
Frequently asked questions
Is Mistral 7B better than o1?
o1 is the stronger model overall, scoring 40.9 to 23.0 on the Noometry Index. Mistral 7B costs 105× less per token, which makes it the better buy when o1's lead doesn't matter for your workload.
Which is cheaper, Mistral 7B or o1?
Mistral 7B is cheaper. It lists at $0.25 per million input tokens and $0.25 per million output tokens; o1 lists at $15 and $60.
Is Mistral 7B or o1 better for coding?
o1 scores higher on coding benchmarks: 46.1 versus 26.4 in the Noometry coding category.
Which has the bigger context window?
o1 does, with 200K tokens against 8K.
How many benchmarks do Mistral 7B and o1 share?
24 benchmarks have published results for both models. Mistral 7B has 37 scored results on Noometry and o1 has 52.