# Llama 3-8B vs Qwen3.7 Plus

> Qwen3.7 Plus is the stronger model overall, scoring 45.0 to 25.3 on the Noometry Index. Llama 3-8B costs 5.0× less per token, which makes it the better buy when Qwen3.7 Plus's lead doesn't matter for your workload.

- Canonical page: https://noometry.com/compare/llama-3-8b-vs-qwen3-7-plus
- Last updated: 2026-10-10
- Shared benchmarks: 22

## Summary

- They share 22 benchmarks with published results for both. Llama 3-8B scores higher in 0 categories and Qwen3.7 Plus in 8 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Qwen3.7 Plus leads 54.9 to 7.8.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 1.9% for Llama 3-8B and 93.3% for Qwen3.7 Plus.
- Llama 3-8B is cheaper at $0.14 / $0.14 per million input/output tokens, against $0.40 / $1.60 for Qwen3.7 Plus.
- Qwen3.7 Plus accepts more context: 1M tokens versus 8K.
- Llama 3-8B has downloadable open weights; the other is API-only.

## Snapshot

| | Llama 3-8B | Qwen3.7 Plus |
|---|---|---|
| Provider | Meta | Alibaba (Qwen) |
| Noometry Index | 25.3 | 45.0 |
| Rank | 338 | 66 |
| Context | 8K | 1M |
| Input $/M | $0.14 | $0.40 |
| Output $/M | $0.14 | $1.60 |
| Weights | Open | Proprietary |

## Coding

- Llama 3-8B: 30.5 (#285)
- Qwen3.7 Plus: 36.1 (#200)

| Benchmark | Llama 3-8B | Qwen3.7 Plus |
|---|---|---|
| LMArena Coding | 1152 | 1473 |
| FrontierCode | — | 10.2% |
| SciCode | — | 45.5% |
| BigCodeBench Instruct | 31.9% | — |
| BigCodeBench Complete | 36.9% | — |
| HumanEval+ | 56.7% | — |
| MBPP+ | 54.8% | — |

## Agentic & Tool Use

- Llama 3-8B: —
- Qwen3.7 Plus: 21.2 (#130)

| Benchmark | Llama 3-8B | Qwen3.7 Plus |
|---|---|---|
| OSWorld 2.0 | — | 2.8% |

## Reasoning

- Llama 3-8B: 13.8 (#321)
- Qwen3.7 Plus: 38.4 (#54)

| Benchmark | Llama 3-8B | Qwen3.7 Plus |
|---|---|---|
| Chess Puzzles | 0% | 24% |
| LMArena Hard Prompts | 1133 | 1460 |
| DTBench | 43.9% | 84% |
| Epoch Capabilities Index | 116.33 | 147.39 |
| NYT Connections (extended) | — | 74.8% |
| CritPt | — | 9.1% |
| Mystery Game Puzzles | — | 17% |
| LMCA | — | 37.6% |
| Adversarial NLI | 57.3% | — |
| ForecastBench | 58.6 | — |
| WinoGrande | 75.7% | — |

## Math

- Llama 3-8B: 8.3 (#317)
- Qwen3.7 Plus: 49.3 (#47)

| Benchmark | Llama 3-8B | Qwen3.7 Plus |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 1.9% | 93.3% |
| LMArena Math | 1151 | 1467 |
| FrontierMath (Tiers 1-3) | — | 34.4% |
| MATH Level 5 | 6.1% | — |

## Knowledge

- Llama 3-8B: 7.8 (#303)
- Qwen3.7 Plus: 54.9 (#46)

| Benchmark | Llama 3-8B | Qwen3.7 Plus |
|---|---|---|
| GPQA Diamond | 26.1% | 87.9% |
| LMArena Expert | 1113 | 1467 |
| ARC (AI2) Challenge | 82.8% | — |
| MMLU | 68.8% | — |
| OpenBookQA | 82.6% | — |
| TriviaQA | 67.7% | — |

## Multimodal

- Llama 3-8B: —
- Qwen3.7 Plus: 41.2 (#30)

| Benchmark | Llama 3-8B | Qwen3.7 Plus |
|---|---|---|
| LMArena Vision | — | 1281 |
| LMArena Document | — | 1444 |

## Multilingual

- Llama 3-8B: 31.0 (#256)
- Qwen3.7 Plus: 55.0 (#36)

| Benchmark | Llama 3-8B | Qwen3.7 Plus |
|---|---|---|
| LMArena Non-English | 1098 | 1445 |
| LMArena Chinese | 1076 | 1510 |
| LMArena French | 1158 | 1471 |
| LMArena German | 1104 | 1471 |
| LMArena Japanese | 967 | 1411 |
| LMArena Korean | 1003 | 1416 |
| LMArena Russian | 1109 | 1457 |
| LMArena Spanish | 1172 | 1453 |

## Instruction Following

- Llama 3-8B: 58.7 (#255)
- Qwen3.7 Plus: 75.9 (#49)

| Benchmark | Llama 3-8B | Qwen3.7 Plus |
|---|---|---|
| LMArena Instruction Following | 1127 | 1439 |

## Long Context

- Llama 3-8B: 34.2 (#246)
- Qwen3.7 Plus: 44.5 (#61)

| Benchmark | Llama 3-8B | Qwen3.7 Plus |
|---|---|---|
| LMArena Longer Query | 1128 | 1454 |

## Writing & Preference

- Llama 3-8B: 37.7 (#251)
- Qwen3.7 Plus: 64.5 (#54)

| Benchmark | Llama 3-8B | Qwen3.7 Plus |
|---|---|---|
| LMArena Text | 1166 | 1454 |
| LMArena Creative Writing | 1150 | 1439 |
| LMArena Multi-Turn | 1152 | 1459 |

## FAQ

### Is Llama 3-8B better than Qwen3.7 Plus?

Qwen3.7 Plus is the stronger model overall, scoring 45.0 to 25.3 on the Noometry Index. Llama 3-8B costs 5.0× less per token, which makes it the better buy when Qwen3.7 Plus's lead doesn't matter for your workload.

### Which is cheaper, Llama 3-8B or Qwen3.7 Plus?

Llama 3-8B is cheaper. It lists at $0.14 per million input tokens and $0.14 per million output tokens; Qwen3.7 Plus lists at $0.40 and $1.60.

### Is Llama 3-8B or Qwen3.7 Plus better for coding?

Qwen3.7 Plus scores higher on coding benchmarks: 36.1 versus 30.5 in the Noometry coding category.

### Which has the bigger context window?

Qwen3.7 Plus does, with 1M tokens against 8K.

### How many benchmarks do Llama 3-8B and Qwen3.7 Plus share?

22 benchmarks have published results for both models. Llama 3-8B has 34 scored results on Noometry and Qwen3.7 Plus has 32.