# Llama 2-7B vs Qwen3.5-9B

> Qwen3.5-9B is the stronger model overall, scoring 33.8 to 29.1 on the Noometry Index.

- Canonical page: https://noometry.com/compare/llama-2-7b-vs-qwen3-5-9b
- Last updated: 2026-10-12
- Shared benchmarks: 2

## Summary

- They share 2 benchmarks with published results for both. Llama 2-7B scores higher in 0 categories and Qwen3.5-9B in 4 categories; 4 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Qwen3.5-9B leads 46.0 to 28.2.
- The biggest single-benchmark swing is Chess Puzzles: 0% for Llama 2-7B and 12% for Qwen3.5-9B.

## Snapshot

| | Llama 2-7B | Qwen3.5-9B |
|---|---|---|
| Provider | Meta | Alibaba (Qwen) |
| Noometry Index | 29.1 | 33.8 |
| Rank | 317 | 236 |
| Context | — | 262K |
| Input $/M | — | $0.10 |
| Output $/M | — | $0.15 |
| Weights | Open | Open |

## Coding

- Llama 2-7B: 29.2 (#307)
- Qwen3.5-9B: 35.9 (#217)

| Benchmark | Llama 2-7B | Qwen3.5-9B |
|---|---|---|
| SciCode | — | 27.5% |
| LMArena Coding | 1002 | — |

## Agentic & Tool Use

- Llama 2-7B: —
- Qwen3.5-9B: 14.5 (#151)

| Benchmark | Llama 2-7B | Qwen3.5-9B |
|---|---|---|
| Terminal-Bench | — | 9.2% |

## Reasoning

- Llama 2-7B: 15.7 (#312)
- Qwen3.5-9B: 23.1 (#182)

| Benchmark | Llama 2-7B | Qwen3.5-9B |
|---|---|---|
| Chess Puzzles | 0% | 12% |
| Epoch Capabilities Index | 99.06 | 139.46 |
| CritPt | — | 0.3% |
| LMArena Hard Prompts | 1009 | — |
| DTBench | — | 71.2% |
| LMCA | — | 24.5% |
| BIG-Bench Hard | 39.2% | — |
| HellaSwag | 77.2% | — |
| LAMBADA | 73.3% | — |
| PIQA | 78.8% | — |
| WinoGrande | 69.2% | — |

## Math

- Llama 2-7B: 30.7 (#233)
- Qwen3.5-9B: 34.8 (#192)

| Benchmark | Llama 2-7B | Qwen3.5-9B |
|---|---|---|
| MathArena Final-Answer Competitions | — | 48.5% |
| OTIS Mock AIME 2024-2025 | — | 61.7% |
| LMArena Math | 1042 | — |
| GSM8K | 16.7% | — |

## Knowledge

- Llama 2-7B: 28.2 (#248)
- Qwen3.5-9B: 46.0 (#84)

| Benchmark | Llama 2-7B | Qwen3.5-9B |
|---|---|---|
| GPQA Diamond | — | 79% |
| LMArena Expert | 1036 | — |
| ARC (AI2) Challenge | 45.9% | — |
| BoolQ | 77.9% | — |
| MMLU | 45.8% | — |
| OpenBookQA | 58.6% | — |
| TriviaQA | 73.7% | — |

## Multimodal

- Llama 2-7B: —
- Qwen3.5-9B: —

| Benchmark | Llama 2-7B | Qwen3.5-9B |
|---|---|---|
| ScienceQA | 43.1% | — |

## Multilingual

- Llama 2-7B: 23.8 (#293)
- Qwen3.5-9B: —

| Benchmark | Llama 2-7B | Qwen3.5-9B |
|---|---|---|
| LMArena Non-English | 973 | — |
| LMArena Chinese | 973 | — |
| LMArena French | 970 | — |
| LMArena German | 978 | — |
| LMArena Russian | 995 | — |
| LMArena Spanish | 1007 | — |

## Instruction Following

- Llama 2-7B: 50.8 (#298)
- Qwen3.5-9B: —

| Benchmark | Llama 2-7B | Qwen3.5-9B |
|---|---|---|
| LMArena Instruction Following | 1006 | — |

## Long Context

- Llama 2-7B: 30.4 (#287)
- Qwen3.5-9B: —

| Benchmark | Llama 2-7B | Qwen3.5-9B |
|---|---|---|
| LMArena Longer Query | 999 | — |

## Writing & Preference

- Llama 2-7B: 28.0 (#298)
- Qwen3.5-9B: —

| Benchmark | Llama 2-7B | Qwen3.5-9B |
|---|---|---|
| LMArena Text | 1053 | — |
| LMArena Creative Writing | 1033 | — |
| LMArena Multi-Turn | 1029 | — |

## FAQ

### Is Llama 2-7B better than Qwen3.5-9B?

Qwen3.5-9B is the stronger model overall, scoring 33.8 to 29.1 on the Noometry Index.

### Is Llama 2-7B or Qwen3.5-9B better for coding?

Qwen3.5-9B scores higher on coding benchmarks: 35.9 versus 29.2 in the Noometry coding category.

### How many benchmarks do Llama 2-7B and Qwen3.5-9B share?

2 benchmarks have published results for both models. Llama 2-7B has 29 scored results on Noometry and Qwen3.5-9B has 10.