# Llama 3-70B vs Qwen3.7 Plus

> Qwen3.7 Plus is the stronger model overall, scoring 45.0 to 28.5 on the Noometry Index.

- Canonical page: https://noometry.com/compare/llama-3-70b-vs-qwen3-7-plus
- Last updated: 2026-10-10
- Shared benchmarks: 21

## Summary

- They share 21 benchmarks with published results for both. Llama 3-70B scores higher in 0 categories and Qwen3.7 Plus in 9 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in math, where Qwen3.7 Plus leads 49.3 to 12.0.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 4.3% for Llama 3-70B and 93.3% for Qwen3.7 Plus.
- Llama 3-70B has downloadable open weights; the other is API-only.

## Snapshot

| | Llama 3-70B | Qwen3.7 Plus |
|---|---|---|
| Provider | Meta | Alibaba (Qwen) |
| Noometry Index | 28.5 | 45.0 |
| Rank | 317 | 66 |
| Context | — | 1M |
| Input $/M | — | $0.40 |
| Output $/M | — | $1.60 |
| Weights | Open | Proprietary |

## Coding

- Llama 3-70B: 35.3 (#215)
- Qwen3.7 Plus: 36.1 (#200)

| Benchmark | Llama 3-70B | Qwen3.7 Plus |
|---|---|---|
| LMArena Coding | 1206 | 1473 |
| FrontierCode | — | 10.2% |
| SciCode | — | 45.5% |
| BigCodeBench Instruct | 43.6% | — |
| BigCodeBench Complete | 54.5% | — |
| HumanEval+ | 72% | — |
| MBPP+ | 69% | — |

## Agentic & Tool Use

- Llama 3-70B: 20.9 (#132)
- Qwen3.7 Plus: 21.2 (#130)

| Benchmark | Llama 3-70B | Qwen3.7 Plus |
|---|---|---|
| OSWorld 2.0 | — | 2.8% |
| Cybench | 5% | — |

## Reasoning

- Llama 3-70B: 17.4 (#284)
- Qwen3.7 Plus: 38.4 (#54)

| Benchmark | Llama 3-70B | Qwen3.7 Plus |
|---|---|---|
| LMArena Hard Prompts | 1195 | 1460 |
| DTBench | 54.2% | 84% |
| Epoch Capabilities Index | 122.91 | 147.39 |
| Kagi LLM Benchmark | 35.1% | — |
| NYT Connections (extended) | — | 74.8% |
| CritPt | — | 9.1% |
| Chess Puzzles | — | 24% |
| Mystery Game Puzzles | — | 17% |
| LMCA | — | 37.6% |
| ForecastBench | 57.1 | — |
| WinoGrande | 83.5% | — |

## Math

- Llama 3-70B: 12.0 (#299)
- Qwen3.7 Plus: 49.3 (#47)

| Benchmark | Llama 3-70B | Qwen3.7 Plus |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 4.3% | 93.3% |
| LMArena Math | 1218 | 1467 |
| FrontierMath (Tiers 1-3) | — | 34.4% |
| MATH Level 5 | 22.6% | — |

## Knowledge

- Llama 3-70B: 20.8 (#272)
- Qwen3.7 Plus: 54.9 (#46)

| Benchmark | Llama 3-70B | Qwen3.7 Plus |
|---|---|---|
| GPQA Diamond | 40.6% | 87.9% |
| LMArena Expert | 1149 | 1467 |
| MMLU | 79.3% | — |

## Multimodal

- Llama 3-70B: —
- Qwen3.7 Plus: 41.2 (#30)

| Benchmark | Llama 3-70B | Qwen3.7 Plus |
|---|---|---|
| LMArena Vision | — | 1281 |
| LMArena Document | — | 1444 |

## Multilingual

- Llama 3-70B: 33.8 (#246)
- Qwen3.7 Plus: 55.0 (#36)

| Benchmark | Llama 3-70B | Qwen3.7 Plus |
|---|---|---|
| LMArena Non-English | 1142 | 1445 |
| LMArena Chinese | 1114 | 1510 |
| LMArena French | 1231 | 1471 |
| LMArena German | 1169 | 1471 |
| LMArena Japanese | 1017 | 1411 |
| LMArena Korean | 1017 | 1416 |
| LMArena Russian | 1159 | 1457 |
| LMArena Spanish | 1241 | 1453 |

## Instruction Following

- Llama 3-70B: 62.8 (#233)
- Qwen3.7 Plus: 75.9 (#49)

| Benchmark | Llama 3-70B | Qwen3.7 Plus |
|---|---|---|
| LMArena Instruction Following | 1194 | 1439 |

## Long Context

- Llama 3-70B: 35.6 (#235)
- Qwen3.7 Plus: 44.5 (#61)

| Benchmark | Llama 3-70B | Qwen3.7 Plus |
|---|---|---|
| LMArena Longer Query | 1174 | 1454 |

## Writing & Preference

- Llama 3-70B: 43.0 (#225)
- Qwen3.7 Plus: 64.5 (#54)

| Benchmark | Llama 3-70B | Qwen3.7 Plus |
|---|---|---|
| LMArena Text | 1221 | 1454 |
| LMArena Creative Writing | 1210 | 1439 |
| LMArena Multi-Turn | 1223 | 1459 |

## FAQ

### Is Llama 3-70B better than Qwen3.7 Plus?

Qwen3.7 Plus is the stronger model overall, scoring 45.0 to 28.5 on the Noometry Index.

### Is Llama 3-70B or Qwen3.7 Plus better for coding?

They score almost the same on coding (35.3 vs 36.1); test both on your own repository before choosing.

### How many benchmarks do Llama 3-70B and Qwen3.7 Plus share?

21 benchmarks have published results for both models. Llama 3-70B has 31 scored results on Noometry and Qwen3.7 Plus has 32.
