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

> Qwen3.5-Flash is the stronger model overall, scoring 42.3 to 28.6 on the Noometry Index.

- Canonical page: https://noometry.com/compare/llama-2-7b-vs-qwen3-5-flash
- Last updated: 2026-10-10
- Shared benchmarks: 17

## Summary

- They share 17 benchmarks with published results for both. Llama 2-7B scores higher in 0 categories and Qwen3.5-Flash in 8 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Qwen3.5-Flash leads 58.2 to 28.1.
- The biggest single-benchmark swing is Chess Puzzles: 0% for Llama 2-7B and 21% for Qwen3.5-Flash.
- Llama 2-7B has downloadable open weights; the other is API-only.

## Snapshot

| | Llama 2-7B | Qwen3.5-Flash |
|---|---|---|
| Provider | Meta | Alibaba (Qwen) |
| Noometry Index | 28.6 | 42.3 |
| Rank | 315 | 105 |
| Context | — | 1M |
| Input $/M | — | $0.10 |
| Output $/M | — | $0.40 |
| Weights | Open | Proprietary |

## Coding

- Llama 2-7B: 28.7 (#302)
- Qwen3.5-Flash: 33.9 (#234)

| Benchmark | Llama 2-7B | Qwen3.5-Flash |
|---|---|---|
| LMArena Coding | 1002 | 1412 |
| LMArena WebDev | — | 1243 |
| ALE-Bench | — | 221.8 |

## Agentic & Tool Use

- Llama 2-7B: —
- Qwen3.5-Flash: —

| Benchmark | Llama 2-7B | Qwen3.5-Flash |
|---|---|---|
| Vending-Bench 2 | — | 462.69 |

## Reasoning

- Llama 2-7B: 15.1 (#309)
- Qwen3.5-Flash: 32.9 (#63)

| Benchmark | Llama 2-7B | Qwen3.5-Flash |
|---|---|---|
| Chess Puzzles | 0% | 21% |
| LMArena Hard Prompts | 1009 | 1404 |
| Epoch Capabilities Index | 98.54 | 143.98 |
| Mystery Game Puzzles | — | 20% |
| DTBench | — | 82.9% |
| LMCA | — | 29.1% |
| BIG-Bench Hard | 39.2% | — |
| HellaSwag | 77.2% | — |
| LAMBADA | 73.3% | — |
| PIQA | 78.8% | — |
| WinoGrande | 69.2% | — |

## Math

- Llama 2-7B: 28.2 (#231)
- Qwen3.5-Flash: 36.3 (#117)

| Benchmark | Llama 2-7B | Qwen3.5-Flash |
|---|---|---|
| LMArena Math | 1042 | 1407 |
| FrontierMath (Tiers 1-3) | — | 18.2% |
| OTIS Mock AIME 2024-2025 | — | 84.4% |
| FrontierMath (Feb 2025 set) | — | 6.2% |
| FrontierMath Tier 4 (v1) | — | 0% |
| GSM8K | 16.7% | — |

## Knowledge

- Llama 2-7B: 27.7 (#243)
- Qwen3.5-Flash: 43.2 (#84)

| Benchmark | Llama 2-7B | Qwen3.5-Flash |
|---|---|---|
| LMArena Expert | 1036 | 1408 |
| GPQA Diamond | — | 82.3% |
| SimpleQA Verified | — | 20.3% |
| Vectara Hallucination Rate | — | 10.5% |
| ARC (AI2) Challenge | 45.9% | — |
| BoolQ | 77.9% | — |
| MMLU | 45.8% | — |
| OpenBookQA | 58.6% | — |
| TriviaQA | 73.7% | — |

## Multimodal

- Llama 2-7B: —
- Qwen3.5-Flash: —

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

## Multilingual

- Llama 2-7B: 23.9 (#288)
- Qwen3.5-Flash: 50.7 (#116)

| Benchmark | Llama 2-7B | Qwen3.5-Flash |
|---|---|---|
| LMArena Non-English | 973 | 1385 |
| LMArena Chinese | 973 | 1446 |
| LMArena French | 969 | 1412 |
| LMArena German | 978 | 1389 |
| LMArena Russian | 995 | 1379 |
| LMArena Spanish | 1007 | 1399 |
| LMArena Japanese | — | 1369 |
| LMArena Korean | — | 1344 |

## Instruction Following

- Llama 2-7B: 51.0 (#293)
- Qwen3.5-Flash: 72.8 (#133)

| Benchmark | Llama 2-7B | Qwen3.5-Flash |
|---|---|---|
| LMArena Instruction Following | 1006 | 1374 |

## Long Context

- Llama 2-7B: 30.4 (#282)
- Qwen3.5-Flash: 42.4 (#119)

| Benchmark | Llama 2-7B | Qwen3.5-Flash |
|---|---|---|
| LMArena Longer Query | 999 | 1392 |

## Writing & Preference

- Llama 2-7B: 28.1 (#293)
- Qwen3.5-Flash: 58.2 (#117)

| Benchmark | Llama 2-7B | Qwen3.5-Flash |
|---|---|---|
| LMArena Text | 1053 | 1397 |
| LMArena Creative Writing | 1033 | 1343 |
| LMArena Multi-Turn | 1029 | 1393 |

## FAQ

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

Qwen3.5-Flash is the stronger model overall, scoring 42.3 to 28.6 on the Noometry Index.

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

Qwen3.5-Flash scores higher on coding benchmarks: 33.9 versus 28.7 in the Noometry coding category.

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

17 benchmarks have published results for both models. Llama 2-7B has 29 scored results on Noometry and Qwen3.5-Flash has 32.