# Llama 2-7B vs Qwen3.8 Max

> Qwen3.8 Max is the stronger model overall, scoring 56.8 to 29.1 on the Noometry Index.

- Canonical page: https://noometry.com/compare/llama-2-7b-vs-qwen3-8-max
- 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 Qwen3.8 Max in 8 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in math, where Qwen3.8 Max leads 73.2 to 30.7.
- The biggest single-benchmark swing is Chess Puzzles: 0% for Llama 2-7B and 40% for Qwen3.8 Max.
- Llama 2-7B has downloadable open weights; the other is API-only.

## Snapshot

| | Llama 2-7B | Qwen3.8 Max |
|---|---|---|
| Provider | Meta | Alibaba (Qwen) |
| Noometry Index | 29.1 | 56.8 |
| Rank | 317 | 22 |
| Context | — | 1M |
| Input $/M | — | $2 |
| Output $/M | — | $6 |
| Weights | Open | Proprietary |

## Coding

- Llama 2-7B: 29.2 (#307)
- Qwen3.8 Max: 53.5 (#29)

| Benchmark | Llama 2-7B | Qwen3.8 Max |
|---|---|---|
| LMArena Coding | 1002 | 1502 |
| DeepSWE | — | 57.5% |
| LMArena WebDev | — | 1674 |
| FrontierSWE | — | 17.8% |
| SciCode | — | 53.2% |

## Agentic & Tool Use

- Llama 2-7B: —
- Qwen3.8 Max: 45.4 (#14)

| Benchmark | Llama 2-7B | Qwen3.8 Max |
|---|---|---|
| APEX-Agents | — | 63.3% |
| τ²-bench Banking | — | 55.1% |
| GDP.pdf | — | 23.2% |

## Reasoning

- Llama 2-7B: 15.7 (#312)
- Qwen3.8 Max: 54.4 (#26)

| Benchmark | Llama 2-7B | Qwen3.8 Max |
|---|---|---|
| Chess Puzzles | 0% | 40% |
| LMArena Hard Prompts | 1009 | 1496 |
| Epoch Capabilities Index | 99.06 | 156.41 |
| NYT Connections (extended) | — | 88.3% |
| CritPt | — | 20% |
| Mystery Game Puzzles | — | 38% |
| DTBench | — | 92% |
| LMCA | — | 46.2% |
| BIG-Bench Hard | 39.2% | — |
| HellaSwag | 77.2% | — |
| LAMBADA | 73.3% | — |
| PIQA | 78.8% | — |
| WinoGrande | 69.2% | — |

## Math

- Llama 2-7B: 30.7 (#233)
- Qwen3.8 Max: 73.2 (#20)

| Benchmark | Llama 2-7B | Qwen3.8 Max |
|---|---|---|
| LMArena Math | 1042 | 1499 |
| FrontierMath (Tiers 1-3) | — | 74.7% |
| FrontierMath Tier 4 | — | 46.3% |
| OTIS Mock AIME 2024-2025 | — | 100% |
| ProofBench | — | 58% |
| GSM8K | 16.7% | — |

## Knowledge

- Llama 2-7B: 28.2 (#248)
- Qwen3.8 Max: 61.7 (#27)

| Benchmark | Llama 2-7B | Qwen3.8 Max |
|---|---|---|
| LMArena Expert | 1036 | 1507 |
| GPQA Diamond | — | 92.7% |
| SimpleQA Verified | — | 47.3% |
| ARC (AI2) Challenge | 45.9% | — |
| BoolQ | 77.9% | — |
| MMLU | 45.8% | — |
| OpenBookQA | 58.6% | — |
| TriviaQA | 73.7% | — |

## Multimodal

- Llama 2-7B: —
- Qwen3.8 Max: 37.2 (#75)

| Benchmark | Llama 2-7B | Qwen3.8 Max |
|---|---|---|
| LMArena Vision | — | 1314 |
| Furniture Assembly | — | 20% |
| ScienceQA | 43.1% | — |

## Multilingual

- Llama 2-7B: 23.8 (#293)
- Qwen3.8 Max: 56.7 (#18)

| Benchmark | Llama 2-7B | Qwen3.8 Max |
|---|---|---|
| LMArena Non-English | 973 | 1472 |
| LMArena Chinese | 973 | 1538 |
| LMArena French | 970 | 1503 |
| LMArena German | 978 | 1483 |
| LMArena Russian | 995 | 1481 |
| LMArena Spanish | 1007 | 1492 |
| LMArena Japanese | — | 1467 |
| LMArena Korean | — | 1461 |

## Instruction Following

- Llama 2-7B: 50.8 (#298)
- Qwen3.8 Max: 77.6 (#17)

| Benchmark | Llama 2-7B | Qwen3.8 Max |
|---|---|---|
| LMArena Instruction Following | 1006 | 1479 |

## Long Context

- Llama 2-7B: 30.4 (#287)
- Qwen3.8 Max: 45.6 (#31)

| Benchmark | Llama 2-7B | Qwen3.8 Max |
|---|---|---|
| LMArena Longer Query | 999 | 1489 |

## Writing & Preference

- Llama 2-7B: 28.0 (#298)
- Qwen3.8 Max: 67.1 (#30)

| Benchmark | Llama 2-7B | Qwen3.8 Max |
|---|---|---|
| LMArena Text | 1053 | 1483 |
| LMArena Creative Writing | 1033 | 1479 |
| LMArena Multi-Turn | 1029 | 1489 |

## FAQ

### Is Llama 2-7B better than Qwen3.8 Max?

Qwen3.8 Max is the stronger model overall, scoring 56.8 to 29.1 on the Noometry Index.

### Is Llama 2-7B or Qwen3.8 Max better for coding?

Qwen3.8 Max scores higher on coding benchmarks: 53.5 versus 29.2 in the Noometry coding category.

### How many benchmarks do Llama 2-7B and Qwen3.8 Max share?

17 benchmarks have published results for both models. Llama 2-7B has 29 scored results on Noometry and Qwen3.8 Max has 39.