# GPT-5 Pro vs Mixtral 8x7B

> GPT-5 Pro is the stronger model overall, scoring 46.2 to 26.8 on the Noometry Index. Mixtral 8x7B costs 59× less per token, which makes it the better buy when GPT-5 Pro's lead doesn't matter for your workload.

- Canonical page: https://noometry.com/compare/gpt-5-pro-vs-mixtral-8x7b
- Last updated: 2026-10-10
- Shared benchmarks: 1

## Summary

- They share 1 benchmark with published results for both. GPT-5 Pro scores higher in 4 categories and Mixtral 8x7B in 0 categories; 4 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where GPT-5 Pro leads 56.2 to 11.0.
- Mixtral 8x7B is cheaper at $0.70 / $0.70 per million input/output tokens, against $15 / $120 for GPT-5 Pro.
- GPT-5 Pro accepts more context: 400K tokens versus 32K.
- Mixtral 8x7B has downloadable open weights; the other is API-only.

## Snapshot

| | GPT-5 Pro | Mixtral 8x7B |
|---|---|---|
| Provider | OpenAI | Mistral AI |
| Noometry Index | 46.2 | 26.8 |
| Rank | 58 | 328 |
| Context | 400K | 32K |
| Input $/M | $15 | $0.70 |
| Output $/M | $120 | $0.70 |
| Weights | Proprietary | Open |

## Coding

- GPT-5 Pro: 43.4 (#77)
- Mixtral 8x7B: 32.2 (#265)

| Benchmark | GPT-5 Pro | Mixtral 8x7B |
|---|---|---|
| WeirdML | 60.4% | — |
| LMArena Coding | — | 1127 |
| AlgoTune | 1.31 | — |
| HumanEval+ | — | 39.6% |
| MBPP+ | — | 49.7% |

## Reasoning

- GPT-5 Pro: 39.2 (#52)
- Mixtral 8x7B: 17.4 (#283)

| Benchmark | GPT-5 Pro | Mixtral 8x7B |
|---|---|---|
| Epoch Capabilities Index | 150.26 | 118.38 |
| ARC-AGI-2 | 18.3% | — |
| SimpleBench | 61.6% | — |
| Kagi LLM Benchmark | 76.8% | — |
| ARC-AGI-1 | 70.2% | — |
| EnigmaEval | 18.8% | — |
| LMArena Hard Prompts | — | 1115 |
| DTBench | — | 49.6% |
| Adversarial NLI | — | 55.2% |
| ForecastBench | — | 56.3 |
| HellaSwag | — | 86.7% |
| PIQA | — | 83.6% |
| WinoGrande | — | 77.2% |

## Math

- GPT-5 Pro: 48.0 (#53)
- Mixtral 8x7B: 17.2 (#284)

| Benchmark | GPT-5 Pro | Mixtral 8x7B |
|---|---|---|
| FrontierMath (Tiers 1-3) | 55.8% | — |
| FrontierMath Tier 4 | 19.5% | — |
| Omni-MATH | — | 10.5% |
| LMArena Math | — | 1147 |
| MATH Level 5 | — | 10% |
| FrontierMath Tier 4 (v1) | 14.6% | — |
| GSM8K | — | 74.4% |

## Knowledge

- GPT-5 Pro: 56.2 (#39)
- Mixtral 8x7B: 11.0 (#296)

| Benchmark | GPT-5 Pro | Mixtral 8x7B |
|---|---|---|
| GPQA Diamond | — | 30.6% |
| Humanity's Last Exam | 31.6% | — |
| MMLU-Pro | — | 33.5% |
| GPQA (HELM) | — | 29.6% |
| LMArena Expert | — | 1088 |
| ARC (AI2) Challenge | — | 87.3% |
| MMLU | — | 70.6% |
| OpenBookQA | — | 85.8% |
| TriviaQA | — | 82.2% |

## Multilingual

- GPT-5 Pro: —
- Mixtral 8x7B: 29.8 (#261)

| Benchmark | GPT-5 Pro | Mixtral 8x7B |
|---|---|---|
| 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

- GPT-5 Pro: —
- Mixtral 8x7B: 51.2 (#292)

| Benchmark | GPT-5 Pro | Mixtral 8x7B |
|---|---|---|
| IFEval | — | 57.5% |
| LMArena Instruction Following | — | 1110 |

## Long Context

- GPT-5 Pro: —
- Mixtral 8x7B: 33.4 (#255)

| Benchmark | GPT-5 Pro | Mixtral 8x7B |
|---|---|---|
| LMArena Longer Query | — | 1103 |

## Writing & Preference

- GPT-5 Pro: —
- Mixtral 8x7B: 34.4 (#265)

| Benchmark | GPT-5 Pro | Mixtral 8x7B |
|---|---|---|
| LMArena Text | — | 1132 |
| LMArena Creative Writing | — | 1109 |
| WildBench | — | 67.3% |
| LMArena Multi-Turn | — | 1115 |

## FAQ

### Is GPT-5 Pro better than Mixtral 8x7B?

GPT-5 Pro is the stronger model overall, scoring 46.2 to 26.8 on the Noometry Index. Mixtral 8x7B costs 59× less per token, which makes it the better buy when GPT-5 Pro's lead doesn't matter for your workload.

### Which is cheaper, GPT-5 Pro or Mixtral 8x7B?

Mixtral 8x7B is cheaper. It lists at $0.70 per million input tokens and $0.70 per million output tokens; GPT-5 Pro lists at $15 and $120.

### Is GPT-5 Pro or Mixtral 8x7B better for coding?

GPT-5 Pro scores higher on coding benchmarks: 43.4 versus 32.2 in the Noometry coding category.

### Which has the bigger context window?

GPT-5 Pro does, with 400K tokens against 32K.

### How many benchmarks do GPT-5 Pro and Mixtral 8x7B share?

1 benchmark has published results for both models. GPT-5 Pro has 12 scored results on Noometry and Mixtral 8x7B has 38.