Model comparison
Mistral 7B vs o3-pro
o3-pro is the stronger model overall, scoring 42.9 to 23.0 on the Noometry Index. Mistral 7B costs 140× less per token, which makes it the better buy when o3-pro's lead doesn't matter for your workload.
Last verified . 2 shared benchmarks.
Mistral AISummary
- They share 2 benchmarks with published results for both. Mistral 7B scores higher in 0 categories and o3-pro in 5 categories; 5 gaps are clear of the uncertainty.
- The widest gap is in long context, where o3-pro leads 72.2 to 32.2.
- The biggest single-benchmark swing is DTBench: 42.5% for Mistral 7B and 86.9% for o3-pro.
- Mistral 7B is cheaper at $0.25 / $0.25 per million input/output tokens, against $20 / $80 for o3-pro.
- o3-pro accepts more context: 200K tokens versus 8K.
- Mistral 7B has downloadable open weights; the other is API-only.
Side by side
| Mistral 7B | o3-pro | |
|---|---|---|
| Provider | Mistral AI | OpenAI |
| Noometry Index | 23.0 | 42.9 |
| Released | 2023-09-27 | 2025-06-10 |
| Weights | Open | Proprietary |
| Context window | 8K | 200K |
| Max output | 8K | 100K |
| Input $ / M tokens | $0.25 | $20 |
| Output $ / M tokens | $0.25 | $80 |
| Results tracked | 37 | 12 |
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Category by category
Coding o3-pro leads
Mistral 7B: 26.4 (#326), o3-pro: 55.5 (#24)
| Benchmark | Mistral 7B | o3-pro |
|---|---|---|
| Aider Polyglot | — | 84.9% |
| WeirdML | — | 58.2% |
| BigCodeBench Instruct | 19.5% | — |
| LMArena Coding | 1082 | — |
| BigCodeBench Complete | 27.3% | — |
| HumanEval+ | 36% | — |
| MBPP+ | 42.1% | — |
Reasoning o3-pro leads
Mistral 7B: 13.1 (#336), o3-pro: 23.8 (#171)
| Benchmark | Mistral 7B | o3-pro |
|---|---|---|
| DTBench | 42.5% | 86.9% |
| Epoch Capabilities Index | 112.21 | 147.42 |
| ARC-AGI-2 | — | 4.9% |
| Kagi LLM Benchmark | — | 72.1% |
| ARC-AGI-1 | — | 59.3% |
| Chess Puzzles | 0% | — |
| LMArena Hard Prompts | 1067 | — |
| LMCA | — | 38.5% |
| Adversarial NLI | 47.1% | — |
| BIG-Bench Hard | 56.1% | — |
| HellaSwag | 81% | — |
| PIQA | 83% | — |
| WinoGrande | 75.3% | — |
Math Not comparable
Mistral 7B: 8.1 (#325), o3-pro: —
| Benchmark | Mistral 7B | o3-pro |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 0.3% | — |
| LMArena Math | 1085 | — |
| MATH Level 5 | 3.7% | — |
| GSM8K | 54.4% | — |
Knowledge o3-pro leads
Mistral 7B: 7.4 (#311), o3-pro: 29.5 (#238)
| Benchmark | Mistral 7B | o3-pro |
|---|---|---|
| GPQA Diamond | 15.2% | — |
| Confabulations | — | 14.2% |
| Vectara Hallucination Rate | — | 23.3% |
| 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: 25.8 (#283), o3-pro: —
| Benchmark | Mistral 7B | o3-pro |
|---|---|---|
| LMArena Non-English | 1012 | — |
| LMArena Chinese | 1009 | — |
| LMArena French | 1037 | — |
| LMArena German | 987 | — |
| LMArena Japanese | 878 | — |
| LMArena Russian | 1018 | — |
| LMArena Spanish | 1026 | — |
Instruction Following Not comparable
Mistral 7B: 54.2 (#280), o3-pro: —
| Benchmark | Mistral 7B | o3-pro |
|---|---|---|
| LMArena Instruction Following | 1060 | — |
Long Context o3-pro leads
Mistral 7B: 32.2 (#271), o3-pro: 72.2 (#1)
| Benchmark | Mistral 7B | o3-pro |
|---|---|---|
| Fiction.LiveBench | — | 97.2% |
| LMArena Longer Query | 1060 | — |
Writing & Preference o3-pro leads
Mistral 7B: 30.7 (#286), o3-pro: 57.1 (#133)
| Benchmark | Mistral 7B | o3-pro |
|---|---|---|
| LMArena Text | 1090 | — |
| LMArena Creative Writing | 1068 | — |
| Short-Story Creative Writing | — | 84.4% |
| LMArena Multi-Turn | 1062 | — |
Frequently asked questions
Is Mistral 7B better than o3-pro?
o3-pro is the stronger model overall, scoring 42.9 to 23.0 on the Noometry Index. Mistral 7B costs 140× less per token, which makes it the better buy when o3-pro's lead doesn't matter for your workload.
Which is cheaper, Mistral 7B or o3-pro?
Mistral 7B is cheaper. It lists at $0.25 per million input tokens and $0.25 per million output tokens; o3-pro lists at $20 and $80.
Is Mistral 7B or o3-pro better for coding?
o3-pro scores higher on coding benchmarks: 55.5 versus 26.4 in the Noometry coding category.
Which has the bigger context window?
o3-pro does, with 200K tokens against 8K.
How many benchmarks do Mistral 7B and o3-pro share?
2 benchmarks have published results for both models. Mistral 7B has 37 scored results on Noometry and o3-pro has 12.