Model comparison
Mixtral 8x7B vs o3-pro
o3-pro is the stronger model overall, scoring 42.9 to 27.1 on the Noometry Index. Mixtral 8x7B costs 50× 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. Mixtral 8x7B 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 33.4.
- The biggest single-benchmark swing is DTBench: 49.6% for Mixtral 8x7B and 86.9% for o3-pro.
- Mixtral 8x7B is cheaper at $0.70 / $0.70 per million input/output tokens, against $20 / $80 for o3-pro.
- o3-pro accepts more context: 200K tokens versus 32K.
- Mixtral 8x7B has downloadable open weights; the other is API-only.
Side by side
| Mixtral 8x7B | o3-pro | |
|---|---|---|
| Provider | Mistral AI | OpenAI |
| Noometry Index | 27.1 | 42.9 |
| Released | 2023-12-11 | 2025-06-10 |
| Weights | Open | Proprietary |
| Context window | 32K | 200K |
| Max output | 32K | 100K |
| Input $ / M tokens | $0.70 | $20 |
| Output $ / M tokens | $0.70 | $80 |
| Results tracked | 38 | 12 |
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Category by category
Coding o3-pro leads
Mixtral 8x7B: 32.8 (#269), o3-pro: 55.5 (#24)
| Benchmark | Mixtral 8x7B | o3-pro |
|---|---|---|
| Aider Polyglot | — | 84.9% |
| WeirdML | — | 58.2% |
| LMArena Coding | 1126 | — |
| HumanEval+ | 39.6% | — |
| MBPP+ | 49.7% | — |
Reasoning o3-pro leads
Mixtral 8x7B: 18.2 (#285), o3-pro: 23.8 (#171)
| Benchmark | Mixtral 8x7B | o3-pro |
|---|---|---|
| DTBench | 49.6% | 86.9% |
| Epoch Capabilities Index | 118.47 | 147.42 |
| ARC-AGI-2 | — | 4.9% |
| Kagi LLM Benchmark | — | 72.1% |
| ARC-AGI-1 | — | 59.3% |
| LMArena Hard Prompts | 1115 | — |
| LMCA | — | 38.5% |
| Adversarial NLI | 55.2% | — |
| ForecastBench | 56.3 | — |
| HellaSwag | 86.7% | — |
| PIQA | 83.6% | — |
| WinoGrande | 77.2% | — |
Math Not comparable
Mixtral 8x7B: 18.8 (#289), o3-pro: —
| Benchmark | Mixtral 8x7B | o3-pro |
|---|---|---|
| Omni-MATH | 10.5% | — |
| LMArena Math | 1147 | — |
| MATH Level 5 | 10% | — |
| GSM8K | 74.4% | — |
Knowledge o3-pro leads
Mixtral 8x7B: 11.0 (#301), o3-pro: 29.5 (#238)
| Benchmark | Mixtral 8x7B | o3-pro |
|---|---|---|
| GPQA Diamond | 30.6% | — |
| MMLU-Pro | 33.5% | — |
| Confabulations | — | 14.2% |
| Vectara Hallucination Rate | — | 23.3% |
| GPQA (HELM) | 29.6% | — |
| LMArena Expert | 1088 | — |
| ARC (AI2) Challenge | 87.3% | — |
| MMLU | 70.6% | — |
| OpenBookQA | 85.8% | — |
| TriviaQA | 82.2% | — |
Multilingual Not comparable
Mixtral 8x7B: 29.6 (#266), o3-pro: —
| Benchmark | Mixtral 8x7B | o3-pro |
|---|---|---|
| LMArena Non-English | 1077 | — |
| LMArena Chinese | 1055 | — |
| LMArena French | 1166 | — |
| LMArena German | 1114 | — |
| LMArena Japanese | 931 | — |
| LMArena Korean | 968 | — |
| LMArena Russian | 1090 | — |
| LMArena Spanish | 1111 | — |
Instruction Following Not comparable
Mixtral 8x7B: 51.0 (#297), o3-pro: —
| Benchmark | Mixtral 8x7B | o3-pro |
|---|---|---|
| IFEval | 57.5% | — |
| LMArena Instruction Following | 1109 | — |
Long Context o3-pro leads
Mixtral 8x7B: 33.4 (#260), o3-pro: 72.2 (#1)
| Benchmark | Mixtral 8x7B | o3-pro |
|---|---|---|
| Fiction.LiveBench | — | 97.2% |
| LMArena Longer Query | 1103 | — |
Writing & Preference o3-pro leads
Mixtral 8x7B: 34.2 (#270), o3-pro: 57.1 (#133)
| Benchmark | Mixtral 8x7B | o3-pro |
|---|---|---|
| LMArena Text | 1132 | — |
| LMArena Creative Writing | 1109 | — |
| Short-Story Creative Writing | — | 84.4% |
| WildBench | 67.3% | — |
| LMArena Multi-Turn | 1115 | — |
Frequently asked questions
Is Mixtral 8x7B better than o3-pro?
o3-pro is the stronger model overall, scoring 42.9 to 27.1 on the Noometry Index. Mixtral 8x7B costs 50× less per token, which makes it the better buy when o3-pro's lead doesn't matter for your workload.
Which is cheaper, Mixtral 8x7B or o3-pro?
Mixtral 8x7B is cheaper. It lists at $0.70 per million input tokens and $0.70 per million output tokens; o3-pro lists at $20 and $80.
Is Mixtral 8x7B or o3-pro better for coding?
o3-pro scores higher on coding benchmarks: 55.5 versus 32.8 in the Noometry coding category.
Which has the bigger context window?
o3-pro does, with 200K tokens against 32K.
How many benchmarks do Mixtral 8x7B and o3-pro share?
2 benchmarks have published results for both models. Mixtral 8x7B has 38 scored results on Noometry and o3-pro has 12.