# Llama 2-7B vs Mixtral 8x7B

> Llama 2-7B is the stronger model overall, scoring 29.1 to 27.1 on the Noometry Index.

- Canonical page: https://noometry.com/compare/llama-2-7b-vs-mixtral-8x7b
- Last updated: 2026-10-11
- Shared benchmarks: 24

## Summary

- They share 24 benchmarks with published results for both. Llama 2-7B scores higher in 2 categories and Mixtral 8x7B in 6 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Llama 2-7B leads 28.2 to 11.0.

## Snapshot

| | Llama 2-7B | Mixtral 8x7B |
|---|---|---|
| Provider | Meta | Mistral AI |
| Noometry Index | 29.1 | 27.1 |
| Rank | 317 | 334 |
| Context | — | 32K |
| Input $/M | — | $0.70 |
| Output $/M | — | $0.70 |
| Weights | Open | Open |

## Coding

- Llama 2-7B: 29.2 (#307)
- Mixtral 8x7B: 32.8 (#269)

| Benchmark | Llama 2-7B | Mixtral 8x7B |
|---|---|---|
| LMArena Coding | 1002 | 1126 |
| HumanEval+ | — | 39.6% |
| MBPP+ | — | 49.7% |

## Reasoning

- Llama 2-7B: 15.7 (#312)
- Mixtral 8x7B: 18.2 (#285)

| Benchmark | Llama 2-7B | Mixtral 8x7B |
|---|---|---|
| LMArena Hard Prompts | 1009 | 1115 |
| Epoch Capabilities Index | 99.06 | 118.47 |
| HellaSwag | 77.2% | 86.7% |
| PIQA | 78.8% | 83.6% |
| WinoGrande | 69.2% | 77.2% |
| Chess Puzzles | 0% | — |
| DTBench | — | 49.6% |
| Adversarial NLI | — | 55.2% |
| BIG-Bench Hard | 39.2% | — |
| ForecastBench | — | 56.3 |
| LAMBADA | 73.3% | — |

## Math

- Llama 2-7B: 30.7 (#233)
- Mixtral 8x7B: 18.8 (#289)

| Benchmark | Llama 2-7B | Mixtral 8x7B |
|---|---|---|
| LMArena Math | 1042 | 1147 |
| GSM8K | 16.7% | 74.4% |
| Omni-MATH | — | 10.5% |
| MATH Level 5 | — | 10% |

## Knowledge

- Llama 2-7B: 28.2 (#248)
- Mixtral 8x7B: 11.0 (#301)

| Benchmark | Llama 2-7B | Mixtral 8x7B |
|---|---|---|
| LMArena Expert | 1036 | 1088 |
| ARC (AI2) Challenge | 45.9% | 87.3% |
| MMLU | 45.8% | 70.6% |
| OpenBookQA | 58.6% | 85.8% |
| TriviaQA | 73.7% | 82.2% |
| GPQA Diamond | — | 30.6% |
| MMLU-Pro | — | 33.5% |
| GPQA (HELM) | — | 29.6% |
| BoolQ | 77.9% | — |

## Multimodal

- Llama 2-7B: —
- Mixtral 8x7B: —

| Benchmark | Llama 2-7B | Mixtral 8x7B |
|---|---|---|
| ScienceQA | 43.1% | — |

## Multilingual

- Llama 2-7B: 23.8 (#293)
- Mixtral 8x7B: 29.6 (#266)

| Benchmark | Llama 2-7B | Mixtral 8x7B |
|---|---|---|
| LMArena Non-English | 973 | 1077 |
| LMArena Chinese | 973 | 1055 |
| LMArena French | 970 | 1166 |
| LMArena German | 978 | 1114 |
| LMArena Russian | 995 | 1090 |
| LMArena Spanish | 1007 | 1111 |
| LMArena Japanese | — | 931 |
| LMArena Korean | — | 968 |

## Instruction Following

- Llama 2-7B: 50.8 (#298)
- Mixtral 8x7B: 51.0 (#297)

| Benchmark | Llama 2-7B | Mixtral 8x7B |
|---|---|---|
| LMArena Instruction Following | 1006 | 1109 |
| IFEval | — | 57.5% |

## Long Context

- Llama 2-7B: 30.4 (#287)
- Mixtral 8x7B: 33.4 (#260)

| Benchmark | Llama 2-7B | Mixtral 8x7B |
|---|---|---|
| LMArena Longer Query | 999 | 1103 |

## Writing & Preference

- Llama 2-7B: 28.0 (#298)
- Mixtral 8x7B: 34.2 (#270)

| Benchmark | Llama 2-7B | Mixtral 8x7B |
|---|---|---|
| LMArena Text | 1053 | 1132 |
| LMArena Creative Writing | 1033 | 1109 |
| LMArena Multi-Turn | 1029 | 1115 |
| WildBench | — | 67.3% |

## FAQ

### Is Llama 2-7B better than Mixtral 8x7B?

Llama 2-7B is the stronger model overall, scoring 29.1 to 27.1 on the Noometry Index.

### Is Llama 2-7B or Mixtral 8x7B better for coding?

Mixtral 8x7B scores higher on coding benchmarks: 32.8 versus 29.2 in the Noometry coding category.

### How many benchmarks do Llama 2-7B and Mixtral 8x7B share?

24 benchmarks have published results for both models. Llama 2-7B has 29 scored results on Noometry and Mixtral 8x7B has 38.
