# Amazon Nova Pro vs Mixtral 8x7B

> Amazon Nova Pro is the stronger model overall, scoring 30.5 to 26.8 on the Noometry Index. Mixtral 8x7B costs 2.0× less per token, which makes it the better buy when Amazon Nova Pro's lead doesn't matter for your workload.

- Canonical page: https://noometry.com/compare/amazon-nova-pro-vs-mixtral-8x7b
- Last updated: 2026-10-10
- Shared benchmarks: 24

## Summary

- They share 24 benchmarks with published results for both. Amazon Nova Pro scores higher in 8 categories and Mixtral 8x7B in 0 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Amazon Nova Pro leads 27.1 to 11.0.
- The biggest single-benchmark swing is MMLU-Pro: 67.3% for Amazon Nova Pro and 33.5% for Mixtral 8x7B.
- Mixtral 8x7B is cheaper at $0.70 / $0.70 per million input/output tokens, against $0.80 / $3.20 for Amazon Nova Pro.
- Amazon Nova Pro accepts more context: 300K tokens versus 32K.
- Mixtral 8x7B has downloadable open weights; the other is API-only.

## Snapshot

| | Amazon Nova Pro | Mixtral 8x7B |
|---|---|---|
| Provider | Amazon | Mistral AI |
| Noometry Index | 30.5 | 26.8 |
| Rank | 278 | 328 |
| Context | 300K | 32K |
| Input $/M | $0.80 | $0.70 |
| Output $/M | $3.20 | $0.70 |
| Weights | Proprietary | Open |

## Coding

- Amazon Nova Pro: 34.6 (#224)
- Mixtral 8x7B: 32.2 (#265)

| Benchmark | Amazon Nova Pro | Mixtral 8x7B |
|---|---|---|
| LMArena Coding | 1270 | 1127 |
| LiveBench Coding | 38.1% | — |
| HumanEval+ | — | 39.6% |
| MBPP+ | — | 49.7% |

## Agentic & Tool Use

- Amazon Nova Pro: 16.6 (#139)
- Mixtral 8x7B: —

| Benchmark | Amazon Nova Pro | Mixtral 8x7B |
|---|---|---|
| Berkeley Function Calling Leaderboard | 25% | — |
| TheAgentCompany | 1.7% | — |

## Reasoning

- Amazon Nova Pro: 19.2 (#240)
- Mixtral 8x7B: 17.4 (#283)

| Benchmark | Amazon Nova Pro | Mixtral 8x7B |
|---|---|---|
| LMArena Hard Prompts | 1246 | 1115 |
| Epoch Capabilities Index | 123.75 | 118.38 |
| LiveBench Reasoning | 32.6% | — |
| DTBench | — | 49.6% |
| LiveBench Data Analysis | 48.3% | — |
| Adversarial NLI | — | 55.2% |
| ForecastBench | — | 56.3 |
| HellaSwag | — | 86.7% |
| LiveBench | 43.5% | — |
| PIQA | — | 83.6% |
| WinoGrande | — | 77.2% |

## Math

- Amazon Nova Pro: 26.4 (#240)
- Mixtral 8x7B: 17.2 (#284)

| Benchmark | Amazon Nova Pro | Mixtral 8x7B |
|---|---|---|
| Omni-MATH | 24.2% | 10.5% |
| LMArena Math | 1252 | 1147 |
| LiveBench Math | 38% | — |
| MATH Level 5 | — | 10% |
| GSM8K | — | 74.4% |

## Knowledge

- Amazon Nova Pro: 27.1 (#246)
- Mixtral 8x7B: 11.0 (#296)

| Benchmark | Amazon Nova Pro | Mixtral 8x7B |
|---|---|---|
| MMLU-Pro | 67.3% | 33.5% |
| GPQA (HELM) | 44.6% | 29.6% |
| LMArena Expert | 1211 | 1088 |
| MMLU | 82% | 70.6% |
| GPQA Diamond | — | 30.6% |
| Humanity's Last Exam | 4.4% | — |
| Confabulations | 30.1% | — |
| Vectara Hallucination Rate | 5.1% | — |
| ARC (AI2) Challenge | — | 87.3% |
| OpenBookQA | — | 85.8% |
| TriviaQA | — | 82.2% |

## Multimodal

- Amazon Nova Pro: 24.5 (#121)
- Mixtral 8x7B: —

| Benchmark | Amazon Nova Pro | Mixtral 8x7B |
|---|---|---|
| LMArena Vision | 980 | — |

## Multilingual

- Amazon Nova Pro: 39.9 (#218)
- Mixtral 8x7B: 29.8 (#261)

| Benchmark | Amazon Nova Pro | Mixtral 8x7B |
|---|---|---|
| LMArena Non-English | 1234 | 1077 |
| LMArena Chinese | 1244 | 1055 |
| LMArena French | 1270 | 1165 |
| LMArena German | 1243 | 1114 |
| LMArena Japanese | 1200 | 931 |
| LMArena Korean | 1203 | 968 |
| LMArena Russian | 1240 | 1090 |
| LMArena Spanish | 1182 | 1110 |

## Instruction Following

- Amazon Nova Pro: 65.1 (#221)
- Mixtral 8x7B: 51.2 (#292)

| Benchmark | Amazon Nova Pro | Mixtral 8x7B |
|---|---|---|
| IFEval | 81.5% | 57.5% |
| LMArena Instruction Following | 1235 | 1110 |
| LiveBench Instruction Following | 67.1% | — |

## Long Context

- Amazon Nova Pro: 38.1 (#199)
- Mixtral 8x7B: 33.4 (#255)

| Benchmark | Amazon Nova Pro | Mixtral 8x7B |
|---|---|---|
| LMArena Longer Query | 1255 | 1103 |

## Writing & Preference

- Amazon Nova Pro: 44.1 (#221)
- Mixtral 8x7B: 34.4 (#265)

| Benchmark | Amazon Nova Pro | Mixtral 8x7B |
|---|---|---|
| LMArena Text | 1259 | 1132 |
| LMArena Creative Writing | 1212 | 1109 |
| WildBench | 77.7% | 67.3% |
| LMArena Multi-Turn | 1245 | 1115 |
| Short-Story Creative Writing | 60.5% | — |
| LiveBench Language | 37% | — |

## FAQ

### Is Amazon Nova Pro better than Mixtral 8x7B?

Amazon Nova Pro is the stronger model overall, scoring 30.5 to 26.8 on the Noometry Index. Mixtral 8x7B costs 2.0× less per token, which makes it the better buy when Amazon Nova Pro's lead doesn't matter for your workload.

### Which is cheaper, Amazon Nova Pro or Mixtral 8x7B?

Mixtral 8x7B is cheaper. It lists at $0.70 per million input tokens and $0.70 per million output tokens; Amazon Nova Pro lists at $0.80 and $3.20.

### Is Amazon Nova Pro or Mixtral 8x7B better for coding?

Amazon Nova Pro scores higher on coding benchmarks: 34.6 versus 32.2 in the Noometry coding category.

### Which has the bigger context window?

Amazon Nova Pro does, with 300K tokens against 32K.

### How many benchmarks do Amazon Nova Pro and Mixtral 8x7B share?

24 benchmarks have published results for both models. Amazon Nova Pro has 38 scored results on Noometry and Mixtral 8x7B has 38.