# Llama 2-13B vs Llama 2-70B

> Llama 2-13B is the stronger model overall, scoring 29.1 to 24.1 on the Noometry Index.

- Canonical page: https://noometry.com/compare/llama-2-13b-vs-llama-2-70b
- Last updated: 2026-10-10
- Shared benchmarks: 30

## Summary

- They share 30 benchmarks with published results for both. Llama 2-13B scores higher in 3 categories and Llama 2-70B in 5 categories; 6 gaps are clear of the uncertainty.
- The widest gap is in math, where Llama 2-13B leads 28.7 to 7.5.

## Snapshot

| | Llama 2-13B | Llama 2-70B |
|---|---|---|
| Provider | Meta | Meta |
| Noometry Index | 29.1 | 24.1 |
| Rank | 304 | 343 |
| Context | — | — |
| Input $/M | — | — |
| Output $/M | — | — |
| Weights | Open | Open |

## Coding

- Llama 2-13B: 30.4 (#287)
- Llama 2-70B: 30.8 (#281)

| Benchmark | Llama 2-13B | Llama 2-70B |
|---|---|---|
| LMArena Coding | 1062 | 1079 |

## Reasoning

- Llama 2-13B: 12.3 (#333)
- Llama 2-70B: 13.7 (#324)

| Benchmark | Llama 2-13B | Llama 2-70B |
|---|---|---|
| LMArena Hard Prompts | 1051 | 1073 |
| DTBench | 42.2% | 41.6% |
| BIG-Bench Hard | 58.2% | 64.9% |
| Epoch Capabilities Index | 105.8 | 113.59 |
| HellaSwag | 80.7% | 85.3% |
| LAMBADA | 76.5% | 78.9% |
| PIQA | 80.8% | 82.8% |
| WinoGrande | 72.8% | 80.2% |
| Chess Puzzles | 0% | — |
| CommonsenseQA 2.0 | — | 50% |
| ForecastBench | — | 51.4 |

## Math

- Llama 2-13B: 28.7 (#226)
- Llama 2-70B: 7.5 (#320)

| Benchmark | Llama 2-13B | Llama 2-70B |
|---|---|---|
| LMArena Math | 1065 | 1091 |
| GSM8K | 36.9% | 69.6% |
| OTIS Mock AIME 2024-2025 | — | 0% |
| MATH Level 5 | — | 3.3% |

## Knowledge

- Llama 2-13B: 27.5 (#244)
- Llama 2-70B: 7.4 (#305)

| Benchmark | Llama 2-13B | Llama 2-70B |
|---|---|---|
| LMArena Expert | 1030 | 1039 |
| ARC (AI2) Challenge | 60.3% | 78.3% |
| BoolQ | 82.4% | 88.6% |
| MMLU | 55.6% | 69.9% |
| OpenBookQA | 57% | 60.2% |
| TriviaQA | 79.6% | 87.6% |
| GPQA Diamond | — | 26.3% |

## Multimodal

- Llama 2-13B: —
- Llama 2-70B: —

| Benchmark | Llama 2-13B | Llama 2-70B |
|---|---|---|
| ScienceQA | 55.8% | — |

## Multilingual

- Llama 2-13B: 26.7 (#274)
- Llama 2-70B: 27.9 (#269)

| Benchmark | Llama 2-13B | Llama 2-70B |
|---|---|---|
| LMArena Non-English | 1024 | 1045 |
| LMArena Chinese | 1001 | 994 |
| LMArena French | 1043 | 1089 |
| LMArena German | 1009 | 1041 |
| LMArena Japanese | 894 | 927 |
| LMArena Korean | 953 | 964 |
| LMArena Russian | 1055 | 1083 |
| LMArena Spanish | 1086 | 1142 |

## Instruction Following

- Llama 2-13B: 53.5 (#282)
- Llama 2-70B: 55.1 (#273)

| Benchmark | Llama 2-13B | Llama 2-70B |
|---|---|---|
| LMArena Instruction Following | 1046 | 1071 |

## Long Context

- Llama 2-13B: 32.3 (#264)
- Llama 2-70B: 32.2 (#265)

| Benchmark | Llama 2-13B | Llama 2-70B |
|---|---|---|
| LMArena Longer Query | 1064 | 1062 |

## Writing & Preference

- Llama 2-13B: 30.0 (#284)
- Llama 2-70B: 32.5 (#274)

| Benchmark | Llama 2-13B | Llama 2-70B |
|---|---|---|
| LMArena Text | 1085 | 1115 |
| LMArena Creative Writing | 1047 | 1075 |
| LMArena Multi-Turn | 1050 | 1088 |

## FAQ

### Is Llama 2-13B better than Llama 2-70B?

Llama 2-13B is the stronger model overall, scoring 29.1 to 24.1 on the Noometry Index.

### Is Llama 2-13B or Llama 2-70B better for coding?

They score almost the same on coding (30.4 vs 30.8); test both on your own repository before choosing.

### How many benchmarks do Llama 2-13B and Llama 2-70B share?

30 benchmarks have published results for both models. Llama 2-13B has 32 scored results on Noometry and Llama 2-70B has 35.
