# Llama 13b vs Qwen2.5 7B Instruct

> Qwen2.5 7B Instruct is the stronger model overall, scoring 28.6 to 23.9 on the Noometry Index.

- Canonical page: https://noometry.com/compare/llama-13b-vs-qwen2-5-7b-instruct
- Last updated: 2026-10-10
- Shared benchmarks: 2

## Summary

- They share 2 benchmarks with published results for both. Llama 13b scores higher in 1 category and Qwen2.5 7B Instruct in 4 categories; 4 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Qwen2.5 7B Instruct leads 48.8 to 13.9.

## Snapshot

| | Llama 13b | Qwen2.5 7B Instruct |
|---|---|---|
| Provider | Meta | Alibaba (Qwen) |
| Noometry Index | 23.9 | 28.6 |
| Rank | 344 | 314 |
| Context | — | 131K |
| Input $/M | — | $0.17 |
| Output $/M | — | $0.70 |
| Weights | Open | Open |

## Coding

- Llama 13b: 20.9 (#332)
- Qwen2.5 7B Instruct: 35.9 (#204)

| Benchmark | Llama 13b | Qwen2.5 7B Instruct |
|---|---|---|
| BigCodeBench Instruct | — | 37.6% |
| LMArena Coding | 683 | — |
| BigCodeBench Complete | — | 46.1% |

## Agentic & Tool Use

- Llama 13b: —
- Qwen2.5 7B Instruct: 23.5 (#117)

| Benchmark | Llama 13b | Qwen2.5 7B Instruct |
|---|---|---|
| BALROG | — | 7.8% |

## Reasoning

- Llama 13b: 13.4 (#327)
- Qwen2.5 7B Instruct: 14.3 (#317)

| Benchmark | Llama 13b | Qwen2.5 7B Instruct |
|---|---|---|
| Epoch Capabilities Index | 100.09 | 118.44 |
| Chess Puzzles | — | 0% |
| LMArena Hard Prompts | 728 | — |
| DTBench | — | 47.7% |
| LMCA | — | 6.4% |
| BIG-Bench Hard | 37.9% | — |
| HellaSwag | 79.2% | — |
| LAMBADA | 75.2% | — |
| PIQA | 80.1% | — |
| WinoGrande | 73% | — |

## Math

- Llama 13b: 24.4 (#259)
- Qwen2.5 7B Instruct: 11.8 (#300)

| Benchmark | Llama 13b | Qwen2.5 7B Instruct |
|---|---|---|
| OTIS Mock AIME 2024-2025 | — | 2.5% |
| Omni-MATH | — | 29.4% |
| LMArena Math | 838 | — |
| GSM8K | 20.6% | — |

## Knowledge

- Llama 13b: —
- Qwen2.5 7B Instruct: 17.0 (#281)

| Benchmark | Llama 13b | Qwen2.5 7B Instruct |
|---|---|---|
| MMLU | 47.7% | 72.9% |
| GPQA Diamond | — | 35.5% |
| MMLU-Pro | — | 53.9% |
| GPQA (HELM) | — | 34.1% |
| ARC (AI2) Challenge | 52.7% | — |
| BoolQ | 78.7% | — |
| OpenBookQA | 56.4% | — |
| TriviaQA | 77.9% | — |

## Multimodal

- Llama 13b: —
- Qwen2.5 7B Instruct: —

| Benchmark | Llama 13b | Qwen2.5 7B Instruct |
|---|---|---|
| ScienceQA | 43.3% | — |

## Multilingual

- Llama 13b: 16.8 (#292)
- Qwen2.5 7B Instruct: —

| Benchmark | Llama 13b | Qwen2.5 7B Instruct |
|---|---|---|
| LMArena Non-English | 819 | — |

## Instruction Following

- Llama 13b: 36.9 (#300)
- Qwen2.5 7B Instruct: 63.4 (#226)

| Benchmark | Llama 13b | Qwen2.5 7B Instruct |
|---|---|---|
| IFEval | — | 74.1% |
| LMArena Instruction Following | 781 | — |

## Writing & Preference

- Llama 13b: 13.9 (#307)
- Qwen2.5 7B Instruct: 48.8 (#194)

| Benchmark | Llama 13b | Qwen2.5 7B Instruct |
|---|---|---|
| LMArena Text | 834 | — |
| LMArena Creative Writing | 794 | — |
| WildBench | — | 73.1% |
| LMArena Multi-Turn | 753 | — |

## FAQ

### Is Llama 13b better than Qwen2.5 7B Instruct?

Qwen2.5 7B Instruct is the stronger model overall, scoring 28.6 to 23.9 on the Noometry Index.

### Is Llama 13b or Qwen2.5 7B Instruct better for coding?

Qwen2.5 7B Instruct scores higher on coding benchmarks: 35.9 versus 20.9 in the Noometry coding category.

### How many benchmarks do Llama 13b and Qwen2.5 7B Instruct share?

2 benchmarks have published results for both models. Llama 13b has 21 scored results on Noometry and Qwen2.5 7B Instruct has 15.