Model comparison
Mistral 7B vs o1-pro
o1-pro is the stronger model overall, scoring 31.2 to 22.9 on the Noometry Index. Mistral 7B costs 1050× less per token, which makes it the better buy when o1-pro's lead doesn't matter for your workload.
Last verified . 0 shared benchmarks.
Mistral AISummary
- The widest gap is in knowledge, where o1-pro leads 29.3 to 7.3.
- Mistral 7B is cheaper at $0.25 / $0.25 per million input/output tokens, against $150 / $600 for o1-pro.
- o1-pro accepts more context: 200K tokens versus 8K.
- Mistral 7B has downloadable open weights; the other is API-only.
Side by side
| Mistral 7B | o1-pro | |
|---|---|---|
| Provider | Mistral AI | OpenAI |
| Noometry Index | 22.9 | 31.2 |
| Released | 2023-09-27 | 2025-03-19 |
| Weights | Open | Proprietary |
| Context window | 8K | 200K |
| Max output | 8K | 100K |
| Input $ / M tokens | $0.25 | $150 |
| Output $ / M tokens | $0.25 | $600 |
| Results tracked | 37 | 3 |
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Category by category
Coding Not comparable
Mistral 7B: 25.9 (#321), o1-pro: —
| Benchmark | Mistral 7B | o1-pro |
|---|---|---|
| BigCodeBench Instruct | 19.5% | — |
| LMArena Coding | 1082 | — |
| BigCodeBench Complete | 27.3% | — |
| HumanEval+ | 36% | — |
| MBPP+ | 42.1% | — |
Reasoning o1-pro leads
Mistral 7B: 12.6 (#331), o1-pro: 20.2 (#223)
| Benchmark | Mistral 7B | o1-pro |
|---|---|---|
| ARC-AGI-1 | — | 23.3% |
| Chess Puzzles | 0% | — |
| EnigmaEval | — | 6.1% |
| LMArena Hard Prompts | 1067 | — |
| DTBench | 42.5% | — |
| Adversarial NLI | 47.1% | — |
| BIG-Bench Hard | 56.1% | — |
| Epoch Capabilities Index | 111.97 | — |
| HellaSwag | 81% | — |
| PIQA | 83% | — |
| WinoGrande | 75.3% | — |
Math Not comparable
Mistral 7B: 7.6 (#319), o1-pro: —
| Benchmark | Mistral 7B | o1-pro |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 0.3% | — |
| LMArena Math | 1085 | — |
| MATH Level 5 | 3.7% | — |
| GSM8K | 54.4% | — |
Knowledge o1-pro leads
Mistral 7B: 7.3 (#306), o1-pro: 29.3 (#227)
| Benchmark | Mistral 7B | o1-pro |
|---|---|---|
| GPQA Diamond | 15.2% | — |
| Humanity's Last Exam | — | 8.1% |
| LMArena Expert | 1036 | — |
| ARC (AI2) Challenge | 78.6% | — |
| BoolQ | 87.4% | — |
| MMLU | 62.5% | — |
| OpenBookQA | 79.8% | — |
| TriviaQA | 75.2% | — |
Multilingual Not comparable
Mistral 7B: 26.0 (#278), o1-pro: —
| Benchmark | Mistral 7B | o1-pro |
|---|---|---|
| LMArena Non-English | 1012 | — |
| LMArena Chinese | 1009 | — |
| LMArena French | 1036 | — |
| LMArena German | 987 | — |
| LMArena Japanese | 878 | — |
| LMArena Russian | 1018 | — |
| LMArena Spanish | 1026 | — |
Instruction Following Not comparable
Mistral 7B: 54.5 (#275), o1-pro: —
| Benchmark | Mistral 7B | o1-pro |
|---|---|---|
| LMArena Instruction Following | 1060 | — |
Long Context Not comparable
Mistral 7B: 32.2 (#266), o1-pro: —
| Benchmark | Mistral 7B | o1-pro |
|---|---|---|
| LMArena Longer Query | 1060 | — |
Writing & Preference Not comparable
Mistral 7B: 30.9 (#281), o1-pro: —
| Benchmark | Mistral 7B | o1-pro |
|---|---|---|
| LMArena Text | 1090 | — |
| LMArena Creative Writing | 1068 | — |
| LMArena Multi-Turn | 1062 | — |
Frequently asked questions
Is Mistral 7B better than o1-pro?
o1-pro is the stronger model overall, scoring 31.2 to 22.9 on the Noometry Index. Mistral 7B costs 1050× less per token, which makes it the better buy when o1-pro's lead doesn't matter for your workload.
Which is cheaper, Mistral 7B or o1-pro?
Mistral 7B is cheaper. It lists at $0.25 per million input tokens and $0.25 per million output tokens; o1-pro lists at $150 and $600.
Which has the bigger context window?
o1-pro does, with 200K tokens against 8K.
How many benchmarks do Mistral 7B and o1-pro share?
0 benchmarks have published results for both models. Mistral 7B has 37 scored results on Noometry and o1-pro has 3.