# Llama 2-70B vs Mistral Small 3.2

> Mistral Small 3.2 is the stronger model overall, scoring 30.8 to 24.1 on the Noometry Index.

- Canonical page: https://noometry.com/compare/llama-2-70b-vs-mistral-small-3-2
- Last updated: 2026-10-10
- Shared benchmarks: 3

## Summary

- They share 3 benchmarks with published results for both. Llama 2-70B scores higher in 0 categories and Mistral Small 3.2 in 4 categories; 4 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Mistral Small 3.2 leads 26.8 to 7.4.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 0% for Llama 2-70B and 30.3% for Mistral Small 3.2.

## Snapshot

| | Llama 2-70B | Mistral Small 3.2 |
|---|---|---|
| Provider | Meta | Mistral AI |
| Noometry Index | 24.1 | 30.8 |
| Rank | 343 | 271 |
| Context | — | 256K |
| Input $/M | — | $0.0938 |
| Output $/M | — | $0.25 |
| Weights | Open | Open |

## Coding

- Llama 2-70B: 30.8 (#281)
- Mistral Small 3.2: —

| Benchmark | Llama 2-70B | Mistral Small 3.2 |
|---|---|---|
| LMArena Coding | 1079 | — |

## Reasoning

- Llama 2-70B: 13.7 (#324)
- Mistral Small 3.2: 17.5 (#282)

| Benchmark | Llama 2-70B | Mistral Small 3.2 |
|---|---|---|
| Epoch Capabilities Index | 113.59 | 131.73 |
| Kagi LLM Benchmark | — | 40.4% |
| Chess Puzzles | — | 1% |
| LMArena Hard Prompts | 1073 | — |
| DTBench | 41.6% | — |
| BIG-Bench Hard | 64.9% | — |
| CommonsenseQA 2.0 | 50% | — |
| ForecastBench | 51.4 | — |
| HellaSwag | 85.3% | — |
| LAMBADA | 78.9% | — |
| PIQA | 82.8% | — |
| WinoGrande | 80.2% | — |

## Math

- Llama 2-70B: 7.5 (#320)
- Mistral Small 3.2: 24.9 (#251)

| Benchmark | Llama 2-70B | Mistral Small 3.2 |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 0% | 30.3% |
| LMArena Math | 1091 | — |
| MATH Level 5 | 3.3% | — |
| GSM8K | 69.6% | — |

## Knowledge

- Llama 2-70B: 7.4 (#305)
- Mistral Small 3.2: 26.8 (#249)

| Benchmark | Llama 2-70B | Mistral Small 3.2 |
|---|---|---|
| GPQA Diamond | 26.3% | 49.1% |
| LMArena Expert | 1039 | — |
| ARC (AI2) Challenge | 78.3% | — |
| BoolQ | 88.6% | — |
| MMLU | 69.9% | — |
| OpenBookQA | 60.2% | — |
| TriviaQA | 87.6% | — |

## Multilingual

- Llama 2-70B: 27.9 (#269)
- Mistral Small 3.2: —

| Benchmark | Llama 2-70B | Mistral Small 3.2 |
|---|---|---|
| LMArena Non-English | 1045 | — |
| LMArena Chinese | 994 | — |
| LMArena French | 1089 | — |
| LMArena German | 1041 | — |
| LMArena Japanese | 927 | — |
| LMArena Korean | 964 | — |
| LMArena Russian | 1083 | — |
| LMArena Spanish | 1142 | — |

## Instruction Following

- Llama 2-70B: 55.1 (#273)
- Mistral Small 3.2: —

| Benchmark | Llama 2-70B | Mistral Small 3.2 |
|---|---|---|
| LMArena Instruction Following | 1071 | — |

## Long Context

- Llama 2-70B: 32.2 (#265)
- Mistral Small 3.2: —

| Benchmark | Llama 2-70B | Mistral Small 3.2 |
|---|---|---|
| LMArena Longer Query | 1062 | — |

## Writing & Preference

- Llama 2-70B: 32.5 (#274)
- Mistral Small 3.2: 45.1 (#219)

| Benchmark | Llama 2-70B | Mistral Small 3.2 |
|---|---|---|
| LMArena Text | 1115 | — |
| LMArena Creative Writing | 1075 | — |
| EQ-Bench Creative Writing | — | 1255 |
| LMArena Multi-Turn | 1088 | — |

## FAQ

### Is Llama 2-70B better than Mistral Small 3.2?

Mistral Small 3.2 is the stronger model overall, scoring 30.8 to 24.1 on the Noometry Index.

### How many benchmarks do Llama 2-70B and Mistral Small 3.2 share?

3 benchmarks have published results for both models. Llama 2-70B has 35 scored results on Noometry and Mistral Small 3.2 has 6.