# Llama 2-7B vs Mistral Large 4

> Mistral Large 4 is the stronger model overall, scoring 43.1 to 29.1 on the Noometry Index.

- Canonical page: https://noometry.com/compare/llama-2-7b-vs-mistral-large-4
- Last updated: 2026-10-11
- Shared benchmarks: 12

## Summary

- They share 12 benchmarks with published results for both. Llama 2-7B scores higher in 0 categories and Mistral Large 4 in 8 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Mistral Large 4 leads 60.4 to 28.0.
- Llama 2-7B has downloadable open weights; the other is API-only.

## Snapshot

| | Llama 2-7B | Mistral Large 4 |
|---|---|---|
| Provider | Meta | Mistral AI |
| Noometry Index | 29.1 | 43.1 |
| Rank | 317 | 99 |
| Context | — | 1.05M |
| Input $/M | — | $0.68 |
| Output $/M | — | $2.09 |
| Weights | Open | Proprietary |

## Coding

- Llama 2-7B: 29.2 (#307)
- Mistral Large 4: 48.6 (#57)

| Benchmark | Llama 2-7B | Mistral Large 4 |
|---|---|---|
| LMArena Coding | 1002 | 1475 |
| LMArena WebDev | — | 1541 |

## Reasoning

- Llama 2-7B: 15.7 (#312)
- Mistral Large 4: 22.5 (#192)

| Benchmark | Llama 2-7B | Mistral Large 4 |
|---|---|---|
| LMArena Hard Prompts | 1009 | 1444 |
| NYT Connections (extended) | — | 27.4% |
| Chess Puzzles | 0% | — |
| BIG-Bench Hard | 39.2% | — |
| Epoch Capabilities Index | 99.06 | — |
| HellaSwag | 77.2% | — |
| LAMBADA | 73.3% | — |
| PIQA | 78.8% | — |
| WinoGrande | 69.2% | — |

## Math

- Llama 2-7B: 30.7 (#233)
- Mistral Large 4: 40.4 (#91)

| Benchmark | Llama 2-7B | Mistral Large 4 |
|---|---|---|
| LMArena Math | 1042 | 1488 |
| GSM8K | 16.7% | — |

## Knowledge

- Llama 2-7B: 28.2 (#248)
- Mistral Large 4: 36.6 (#166)

| Benchmark | Llama 2-7B | Mistral Large 4 |
|---|---|---|
| LMArena Expert | 1036 | 1447 |
| SimpleQA Verified | — | 20% |
| ARC (AI2) Challenge | 45.9% | — |
| BoolQ | 77.9% | — |
| MMLU | 45.8% | — |
| OpenBookQA | 58.6% | — |
| TriviaQA | 73.7% | — |

## Multimodal

- Llama 2-7B: —
- Mistral Large 4: —

| Benchmark | Llama 2-7B | Mistral Large 4 |
|---|---|---|
| ScienceQA | 43.1% | — |

## Multilingual

- Llama 2-7B: 23.8 (#293)
- Mistral Large 4: 52.6 (#82)

| Benchmark | Llama 2-7B | Mistral Large 4 |
|---|---|---|
| LMArena Non-English | 973 | 1415 |
| LMArena Chinese | 973 | 1491 |
| LMArena Russian | 995 | 1414 |
| LMArena French | 970 | — |
| LMArena German | 978 | — |
| LMArena Spanish | 1007 | — |

## Instruction Following

- Llama 2-7B: 50.8 (#298)
- Mistral Large 4: 75.0 (#76)

| Benchmark | Llama 2-7B | Mistral Large 4 |
|---|---|---|
| LMArena Instruction Following | 1006 | 1424 |

## Long Context

- Llama 2-7B: 30.4 (#287)
- Mistral Large 4: 43.6 (#89)

| Benchmark | Llama 2-7B | Mistral Large 4 |
|---|---|---|
| LMArena Longer Query | 999 | 1429 |

## Writing & Preference

- Llama 2-7B: 28.0 (#298)
- Mistral Large 4: 60.4 (#97)

| Benchmark | Llama 2-7B | Mistral Large 4 |
|---|---|---|
| LMArena Text | 1053 | 1427 |
| LMArena Creative Writing | 1033 | 1361 |
| LMArena Multi-Turn | 1029 | 1424 |

## FAQ

### Is Llama 2-7B better than Mistral Large 4?

Mistral Large 4 is the stronger model overall, scoring 43.1 to 29.1 on the Noometry Index.

### Is Llama 2-7B or Mistral Large 4 better for coding?

Mistral Large 4 scores higher on coding benchmarks: 48.6 versus 29.2 in the Noometry coding category.

### How many benchmarks do Llama 2-7B and Mistral Large 4 share?

12 benchmarks have published results for both models. Llama 2-7B has 29 scored results on Noometry and Mistral Large 4 has 15.