# Llama 2-13B vs Qwen1.5-72B

> Qwen1.5-72B is the stronger model overall, scoring 30.3 to 29.1 on the Noometry Index.

- Canonical page: https://noometry.com/compare/llama-2-13b-vs-qwen1-5-72b
- Last updated: 2026-10-10
- Shared benchmarks: 17

## Summary

- They share 17 benchmarks with published results for both. Llama 2-13B scores higher in 1 category and Qwen1.5-72B in 7 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Llama 2-13B leads 27.5 to 11.5.

## Snapshot

| | Llama 2-13B | Qwen1.5-72B |
|---|---|---|
| Provider | Meta | Alibaba (Qwen) |
| Noometry Index | 29.1 | 30.3 |
| Rank | 304 | 282 |
| Context | — | — |
| Input $/M | — | — |
| Output $/M | — | — |
| Weights | Open | Open |

## Coding

- Llama 2-13B: 30.4 (#287)
- Qwen1.5-72B: 31.4 (#272)

| Benchmark | Llama 2-13B | Qwen1.5-72B |
|---|---|---|
| LMArena Coding | 1062 | 1166 |
| BigCodeBench Instruct | — | 33.2% |
| BigCodeBench Complete | — | 40.3% |
| HumanEval+ | — | 59.1% |
| MBPP+ | — | 61.6% |

## Reasoning

- Llama 2-13B: 12.3 (#333)
- Qwen1.5-72B: 21.2 (#201)

| Benchmark | Llama 2-13B | Qwen1.5-72B |
|---|---|---|
| LMArena Hard Prompts | 1051 | 1148 |
| Chess Puzzles | 0% | — |
| DTBench | 42.2% | — |
| BIG-Bench Hard | 58.2% | — |
| Epoch Capabilities Index | 105.8 | — |
| HellaSwag | 80.7% | — |
| LAMBADA | 76.5% | — |
| PIQA | 80.8% | — |
| WinoGrande | 72.8% | — |

## Math

- Llama 2-13B: 28.7 (#226)
- Qwen1.5-72B: 30.7 (#205)

| Benchmark | Llama 2-13B | Qwen1.5-72B |
|---|---|---|
| LMArena Math | 1065 | 1164 |
| GSM8K | 36.9% | — |

## Knowledge

- Llama 2-13B: 27.5 (#244)
- Qwen1.5-72B: 11.5 (#295)

| Benchmark | Llama 2-13B | Qwen1.5-72B |
|---|---|---|
| LMArena Expert | 1030 | 1136 |
| GPQA Diamond | — | 28.8% |
| ARC (AI2) Challenge | 60.3% | — |
| BoolQ | 82.4% | — |
| MMLU | 55.6% | — |
| OpenBookQA | 57% | — |
| TriviaQA | 79.6% | — |

## Multimodal

- Llama 2-13B: —
- Qwen1.5-72B: —

| Benchmark | Llama 2-13B | Qwen1.5-72B |
|---|---|---|
| ScienceQA | 55.8% | — |

## Multilingual

- Llama 2-13B: 26.7 (#274)
- Qwen1.5-72B: 33.4 (#248)

| Benchmark | Llama 2-13B | Qwen1.5-72B |
|---|---|---|
| LMArena Non-English | 1024 | 1135 |
| LMArena Chinese | 1001 | 1186 |
| LMArena French | 1043 | 1158 |
| LMArena German | 1009 | 1084 |
| LMArena Japanese | 894 | 1061 |
| LMArena Korean | 953 | 1049 |
| LMArena Russian | 1055 | 1104 |
| LMArena Spanish | 1086 | 1110 |

## Instruction Following

- Llama 2-13B: 53.5 (#282)
- Qwen1.5-72B: 59.6 (#251)

| Benchmark | Llama 2-13B | Qwen1.5-72B |
|---|---|---|
| LMArena Instruction Following | 1046 | 1142 |

## Long Context

- Llama 2-13B: 32.3 (#264)
- Qwen1.5-72B: 35.0 (#238)

| Benchmark | Llama 2-13B | Qwen1.5-72B |
|---|---|---|
| LMArena Longer Query | 1064 | 1157 |

## Writing & Preference

- Llama 2-13B: 30.0 (#284)
- Qwen1.5-72B: 37.4 (#253)

| Benchmark | Llama 2-13B | Qwen1.5-72B |
|---|---|---|
| LMArena Text | 1085 | 1166 |
| LMArena Creative Writing | 1047 | 1137 |
| LMArena Multi-Turn | 1050 | 1160 |

## FAQ

### Is Llama 2-13B better than Qwen1.5-72B?

Qwen1.5-72B is the stronger model overall, scoring 30.3 to 29.1 on the Noometry Index.

### Is Llama 2-13B or Qwen1.5-72B better for coding?

Qwen1.5-72B scores higher on coding benchmarks: 31.4 versus 30.4 in the Noometry coding category.

### How many benchmarks do Llama 2-13B and Qwen1.5-72B share?

17 benchmarks have published results for both models. Llama 2-13B has 32 scored results on Noometry and Qwen1.5-72B has 22.
