# Mixtral 8x7B vs o3-pro

> o3-pro is the stronger model overall, scoring 42.7 to 26.8 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.

- Canonical page: https://noometry.com/compare/mixtral-8x7b-vs-o3-pro
- Last updated: 2026-10-10
- Shared benchmarks: 2

## Summary

- 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 72.1 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.

## Snapshot

| | Mixtral 8x7B | o3-pro |
|---|---|---|
| Provider | Mistral AI | OpenAI |
| Noometry Index | 26.8 | 42.7 |
| Rank | 328 | 94 |
| Context | 32K | 200K |
| Input $/M | $0.70 | $20 |
| Output $/M | $0.70 | $80 |
| Weights | Open | Proprietary |

## Coding

- Mixtral 8x7B: 32.2 (#265)
- o3-pro: 55.1 (#22)

| Benchmark | Mixtral 8x7B | o3-pro |
|---|---|---|
| Aider Polyglot | — | 84.9% |
| WeirdML | — | 58.2% |
| LMArena Coding | 1127 | — |
| HumanEval+ | 39.6% | — |
| MBPP+ | 49.7% | — |

## Reasoning

- Mixtral 8x7B: 17.4 (#283)
- o3-pro: 24.1 (#152)

| Benchmark | Mixtral 8x7B | o3-pro |
|---|---|---|
| DTBench | 49.6% | 86.9% |
| Epoch Capabilities Index | 118.38 | 147.43 |
| 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

- Mixtral 8x7B: 17.2 (#284)
- o3-pro: —

| Benchmark | Mixtral 8x7B | o3-pro |
|---|---|---|
| Omni-MATH | 10.5% | — |
| LMArena Math | 1147 | — |
| MATH Level 5 | 10% | — |
| GSM8K | 74.4% | — |

## Knowledge

- Mixtral 8x7B: 11.0 (#296)
- o3-pro: 29.0 (#234)

| 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

- Mixtral 8x7B: 29.8 (#261)
- o3-pro: —

| Benchmark | Mixtral 8x7B | o3-pro |
|---|---|---|
| LMArena Non-English | 1077 | — |
| LMArena Chinese | 1055 | — |
| LMArena French | 1165 | — |
| LMArena German | 1114 | — |
| LMArena Japanese | 931 | — |
| LMArena Korean | 968 | — |
| LMArena Russian | 1090 | — |
| LMArena Spanish | 1110 | — |

## Instruction Following

- Mixtral 8x7B: 51.2 (#292)
- o3-pro: —

| Benchmark | Mixtral 8x7B | o3-pro |
|---|---|---|
| IFEval | 57.5% | — |
| LMArena Instruction Following | 1110 | — |

## Long Context

- Mixtral 8x7B: 33.4 (#255)
- o3-pro: 72.1 (#1)

| Benchmark | Mixtral 8x7B | o3-pro |
|---|---|---|
| Fiction.LiveBench | — | 97.2% |
| LMArena Longer Query | 1103 | — |

## Writing & Preference

- Mixtral 8x7B: 34.4 (#265)
- o3-pro: 57.1 (#128)

| 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 | — |

## FAQ

### Is Mixtral 8x7B better than o3-pro?

o3-pro is the stronger model overall, scoring 42.7 to 26.8 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: 55.1 versus 32.2 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.