# Mixtral 8x22B vs o1-pro

> o1-pro is the stronger model overall, scoring 31.2 to 26.7 on the Noometry Index. Mixtral 8x22B costs 88× less per token, which makes it the better buy when o1-pro's lead doesn't matter for your workload.

- Canonical page: https://noometry.com/compare/mixtral-8x22b-vs-o1-pro
- Last updated: 2026-10-10
- Shared benchmarks: 0

## Summary

- The widest gap is in knowledge, where o1-pro leads 29.3 to 15.1.
- Mixtral 8x22B is cheaper at $2 / $6 per million input/output tokens, against $150 / $600 for o1-pro.
- o1-pro accepts more context: 200K tokens versus 64K.
- Mixtral 8x22B has downloadable open weights; the other is API-only.

## Snapshot

| | Mixtral 8x22B | o1-pro |
|---|---|---|
| Provider | Mistral AI | OpenAI |
| Noometry Index | 26.7 | 31.2 |
| Rank | 330 | 264 |
| Context | 64K | 200K |
| Input $/M | $2 | $150 |
| Output $/M | $6 | $600 |
| Weights | Open | Proprietary |

## Coding

- Mixtral 8x22B: 23.8 (#324)
- o1-pro: —

| Benchmark | Mixtral 8x22B | o1-pro |
|---|---|---|
| WeirdML | 3.2% | — |
| BigCodeBench Instruct | 40.6% | — |
| LMArena Coding | 1166 | — |
| BigCodeBench Complete | 50.2% | — |
| HumanEval+ | 72% | — |
| MBPP+ | 64.3% | — |

## Agentic & Tool Use

- Mixtral 8x22B: 22.8 (#119)
- o1-pro: —

| Benchmark | Mixtral 8x22B | o1-pro |
|---|---|---|
| Cybench | 7.5% | — |

## Reasoning

- Mixtral 8x22B: 19.1 (#246)
- o1-pro: 20.2 (#223)

| Benchmark | Mixtral 8x22B | o1-pro |
|---|---|---|
| ARC-AGI-1 | — | 23.3% |
| EnigmaEval | — | 6.1% |
| LMArena Hard Prompts | 1150 | — |
| DTBench | 55.1% | — |
| Epoch Capabilities Index | 122 | — |
| ForecastBench | 56.3 | — |

## Math

- Mixtral 8x22B: 21.2 (#271)
- o1-pro: —

| Benchmark | Mixtral 8x22B | o1-pro |
|---|---|---|
| Omni-MATH | 16.3% | — |
| LMArena Math | 1184 | — |
| MATH Level 5 | 24.2% | — |

## Knowledge

- Mixtral 8x22B: 15.1 (#288)
- o1-pro: 29.3 (#227)

| Benchmark | Mixtral 8x22B | o1-pro |
|---|---|---|
| GPQA Diamond | 34.1% | — |
| Humanity's Last Exam | — | 8.1% |
| MMLU-Pro | 46% | — |
| GPQA (HELM) | 33.4% | — |
| LMArena Expert | 1113 | — |
| MMLU | 77.8% | — |

## Multilingual

- Mixtral 8x22B: 32.9 (#250)
- o1-pro: —

| Benchmark | Mixtral 8x22B | o1-pro |
|---|---|---|
| LMArena Non-English | 1128 | — |
| LMArena Chinese | 1116 | — |
| LMArena French | 1165 | — |
| LMArena German | 1141 | — |
| LMArena Japanese | 1037 | — |
| LMArena Korean | 1056 | — |
| LMArena Russian | 1158 | — |
| LMArena Spanish | 1150 | — |

## Instruction Following

- Mixtral 8x22B: 57.9 (#261)
- o1-pro: —

| Benchmark | Mixtral 8x22B | o1-pro |
|---|---|---|
| IFEval | 72.4% | — |
| LMArena Instruction Following | 1147 | — |

## Long Context

- Mixtral 8x22B: 34.6 (#242)
- o1-pro: —

| Benchmark | Mixtral 8x22B | o1-pro |
|---|---|---|
| LMArena Longer Query | 1144 | — |

## Writing & Preference

- Mixtral 8x22B: 37.1 (#257)
- o1-pro: —

| Benchmark | Mixtral 8x22B | o1-pro |
|---|---|---|
| LMArena Text | 1162 | — |
| LMArena Creative Writing | 1141 | — |
| WildBench | 71.1% | — |
| LMArena Multi-Turn | 1130 | — |

## FAQ

### Is Mixtral 8x22B better than o1-pro?

o1-pro is the stronger model overall, scoring 31.2 to 26.7 on the Noometry Index. Mixtral 8x22B costs 88× less per token, which makes it the better buy when o1-pro's lead doesn't matter for your workload.

### Which is cheaper, Mixtral 8x22B or o1-pro?

Mixtral 8x22B is cheaper. It lists at $2 per million input tokens and $6 per million output tokens; o1-pro lists at $150 and $600.

### Which has the bigger context window?

o1-pro does, with 200K tokens against 64K.

### How many benchmarks do Mixtral 8x22B and o1-pro share?

0 benchmarks have published results for both models. Mixtral 8x22B has 34 scored results on Noometry and o1-pro has 3.