# Llama 2-13B vs Mixtral 8x7B

> Llama 2-13B is the stronger model overall, scoring 29.1 to 26.8 on the Noometry Index.

- Canonical page: https://noometry.com/compare/llama-2-13b-vs-mixtral-8x7b
- Last updated: 2026-10-10
- Shared benchmarks: 27

## Summary

- They share 27 benchmarks with published results for both. Llama 2-13B scores higher in 3 categories and Mixtral 8x7B in 5 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Llama 2-13B leads 27.5 to 11.0.
- The biggest single-benchmark swing is DTBench: 42.2% for Llama 2-13B and 49.6% for Mixtral 8x7B.

## Snapshot

| | Llama 2-13B | Mixtral 8x7B |
|---|---|---|
| Provider | Meta | Mistral AI |
| Noometry Index | 29.1 | 26.8 |
| Rank | 304 | 328 |
| Context | — | 32K |
| Input $/M | — | $0.70 |
| Output $/M | — | $0.70 |
| Weights | Open | Open |

## Coding

- Llama 2-13B: 30.4 (#287)
- Mixtral 8x7B: 32.2 (#265)

| Benchmark | Llama 2-13B | Mixtral 8x7B |
|---|---|---|
| LMArena Coding | 1062 | 1127 |
| HumanEval+ | — | 39.6% |
| MBPP+ | — | 49.7% |

## Reasoning

- Llama 2-13B: 12.3 (#333)
- Mixtral 8x7B: 17.4 (#283)

| Benchmark | Llama 2-13B | Mixtral 8x7B |
|---|---|---|
| LMArena Hard Prompts | 1051 | 1115 |
| DTBench | 42.2% | 49.6% |
| Epoch Capabilities Index | 105.8 | 118.38 |
| HellaSwag | 80.7% | 86.7% |
| PIQA | 80.8% | 83.6% |
| WinoGrande | 72.8% | 77.2% |
| Chess Puzzles | 0% | — |
| Adversarial NLI | — | 55.2% |
| BIG-Bench Hard | 58.2% | — |
| ForecastBench | — | 56.3 |
| LAMBADA | 76.5% | — |

## Math

- Llama 2-13B: 28.7 (#226)
- Mixtral 8x7B: 17.2 (#284)

| Benchmark | Llama 2-13B | Mixtral 8x7B |
|---|---|---|
| LMArena Math | 1065 | 1147 |
| GSM8K | 36.9% | 74.4% |
| Omni-MATH | — | 10.5% |
| MATH Level 5 | — | 10% |

## Knowledge

- Llama 2-13B: 27.5 (#244)
- Mixtral 8x7B: 11.0 (#296)

| Benchmark | Llama 2-13B | Mixtral 8x7B |
|---|---|---|
| LMArena Expert | 1030 | 1088 |
| ARC (AI2) Challenge | 60.3% | 87.3% |
| MMLU | 55.6% | 70.6% |
| OpenBookQA | 57% | 85.8% |
| TriviaQA | 79.6% | 82.2% |
| GPQA Diamond | — | 30.6% |
| MMLU-Pro | — | 33.5% |
| GPQA (HELM) | — | 29.6% |
| BoolQ | 82.4% | — |

## Multimodal

- Llama 2-13B: —
- Mixtral 8x7B: —

| Benchmark | Llama 2-13B | Mixtral 8x7B |
|---|---|---|
| ScienceQA | 55.8% | — |

## Multilingual

- Llama 2-13B: 26.7 (#274)
- Mixtral 8x7B: 29.8 (#261)

| Benchmark | Llama 2-13B | Mixtral 8x7B |
|---|---|---|
| LMArena Non-English | 1024 | 1077 |
| LMArena Chinese | 1001 | 1055 |
| LMArena French | 1043 | 1165 |
| LMArena German | 1009 | 1114 |
| LMArena Japanese | 894 | 931 |
| LMArena Korean | 953 | 968 |
| LMArena Russian | 1055 | 1090 |
| LMArena Spanish | 1086 | 1110 |

## Instruction Following

- Llama 2-13B: 53.5 (#282)
- Mixtral 8x7B: 51.2 (#292)

| Benchmark | Llama 2-13B | Mixtral 8x7B |
|---|---|---|
| LMArena Instruction Following | 1046 | 1110 |
| IFEval | — | 57.5% |

## Long Context

- Llama 2-13B: 32.3 (#264)
- Mixtral 8x7B: 33.4 (#255)

| Benchmark | Llama 2-13B | Mixtral 8x7B |
|---|---|---|
| LMArena Longer Query | 1064 | 1103 |

## Writing & Preference

- Llama 2-13B: 30.0 (#284)
- Mixtral 8x7B: 34.4 (#265)

| Benchmark | Llama 2-13B | Mixtral 8x7B |
|---|---|---|
| LMArena Text | 1085 | 1132 |
| LMArena Creative Writing | 1047 | 1109 |
| LMArena Multi-Turn | 1050 | 1115 |
| WildBench | — | 67.3% |

## FAQ

### Is Llama 2-13B better than Mixtral 8x7B?

Llama 2-13B is the stronger model overall, scoring 29.1 to 26.8 on the Noometry Index.

### Is Llama 2-13B or Mixtral 8x7B better for coding?

Mixtral 8x7B scores higher on coding benchmarks: 32.2 versus 30.4 in the Noometry coding category.

### How many benchmarks do Llama 2-13B and Mixtral 8x7B share?

27 benchmarks have published results for both models. Llama 2-13B has 32 scored results on Noometry and Mixtral 8x7B has 38.
