# Llama 2-70B vs Mistral Large 4

> Mistral Large 4 is the stronger model overall, scoring 43.1 to 24.4 on the Noometry Index.

- Canonical page: https://noometry.com/compare/llama-2-70b-vs-mistral-large-4
- Last updated: 2026-10-11
- Shared benchmarks: 12

## Summary

- They share 12 benchmarks with published results for both. Llama 2-70B scores higher in 0 categories and Mistral Large 4 in 8 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in math, where Mistral Large 4 leads 40.4 to 8.1.
- Llama 2-70B has downloadable open weights; the other is API-only.

## Snapshot

| | Llama 2-70B | Mistral Large 4 |
|---|---|---|
| Provider | Meta | Mistral AI |
| Noometry Index | 24.4 | 43.1 |
| Rank | 349 | 99 |
| Context | — | 1.05M |
| Input $/M | — | $0.68 |
| Output $/M | — | $2.09 |
| Weights | Open | Proprietary |

## Coding

- Llama 2-70B: 31.4 (#286)
- Mistral Large 4: 48.6 (#57)

| Benchmark | Llama 2-70B | Mistral Large 4 |
|---|---|---|
| LMArena Coding | 1079 | 1475 |
| LMArena WebDev | — | 1541 |

## Reasoning

- Llama 2-70B: 14.4 (#325)
- Mistral Large 4: 22.5 (#192)

| Benchmark | Llama 2-70B | Mistral Large 4 |
|---|---|---|
| LMArena Hard Prompts | 1073 | 1444 |
| NYT Connections (extended) | — | 27.4% |
| DTBench | 41.6% | — |
| BIG-Bench Hard | 64.9% | — |
| CommonsenseQA 2.0 | 50% | — |
| Epoch Capabilities Index | 113.79 | — |
| ForecastBench | 51.4 | — |
| HellaSwag | 85.3% | — |
| LAMBADA | 78.9% | — |
| PIQA | 82.8% | — |
| WinoGrande | 80.2% | — |

## Math

- Llama 2-70B: 8.1 (#326)
- Mistral Large 4: 40.4 (#91)

| Benchmark | Llama 2-70B | Mistral Large 4 |
|---|---|---|
| LMArena Math | 1091 | 1488 |
| OTIS Mock AIME 2024-2025 | 0% | — |
| MATH Level 5 | 3.3% | — |
| GSM8K | 69.6% | — |

## Knowledge

- Llama 2-70B: 7.4 (#310)
- Mistral Large 4: 36.6 (#166)

| Benchmark | Llama 2-70B | Mistral Large 4 |
|---|---|---|
| LMArena Expert | 1039 | 1447 |
| GPQA Diamond | 26.3% | — |
| SimpleQA Verified | — | 20% |
| ARC (AI2) Challenge | 78.3% | — |
| BoolQ | 88.6% | — |
| MMLU | 69.9% | — |
| OpenBookQA | 60.2% | — |
| TriviaQA | 87.6% | — |

## Multilingual

- Llama 2-70B: 27.7 (#274)
- Mistral Large 4: 52.6 (#82)

| Benchmark | Llama 2-70B | Mistral Large 4 |
|---|---|---|
| LMArena Non-English | 1045 | 1415 |
| LMArena Chinese | 995 | 1491 |
| LMArena Russian | 1083 | 1414 |
| LMArena French | 1090 | — |
| LMArena German | 1041 | — |
| LMArena Japanese | 927 | — |
| LMArena Korean | 964 | — |
| LMArena Spanish | 1143 | — |

## Instruction Following

- Llama 2-70B: 54.9 (#278)
- Mistral Large 4: 75.0 (#76)

| Benchmark | Llama 2-70B | Mistral Large 4 |
|---|---|---|
| LMArena Instruction Following | 1071 | 1424 |

## Long Context

- Llama 2-70B: 32.3 (#270)
- Mistral Large 4: 43.6 (#89)

| Benchmark | Llama 2-70B | Mistral Large 4 |
|---|---|---|
| LMArena Longer Query | 1062 | 1429 |

## Writing & Preference

- Llama 2-70B: 32.3 (#279)
- Mistral Large 4: 60.4 (#97)

| Benchmark | Llama 2-70B | Mistral Large 4 |
|---|---|---|
| LMArena Text | 1115 | 1427 |
| LMArena Creative Writing | 1075 | 1361 |
| LMArena Multi-Turn | 1088 | 1424 |

## FAQ

### Is Llama 2-70B better than Mistral Large 4?

Mistral Large 4 is the stronger model overall, scoring 43.1 to 24.4 on the Noometry Index.

### Is Llama 2-70B or Mistral Large 4 better for coding?

Mistral Large 4 scores higher on coding benchmarks: 48.6 versus 31.4 in the Noometry coding category.

### How many benchmarks do Llama 2-70B and Mistral Large 4 share?

12 benchmarks have published results for both models. Llama 2-70B has 35 scored results on Noometry and Mistral Large 4 has 15.