Model comparison
Llama 2-70B vs Qwen3.7 Flash
Qwen3.7 Flash is the stronger model overall, scoring 39.5 to 24.1 on the Noometry Index.
Last verified . 3 shared benchmarks.
Meta
Alibaba (Qwen)Summary
- They share 3 benchmarks with published results for both. Llama 2-70B scores higher in 0 categories and Qwen3.7 Flash in 3 categories; 3 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Qwen3.7 Flash leads 48.9 to 7.4.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 0% for Llama 2-70B and 86.7% for Qwen3.7 Flash.
- Llama 2-70B has downloadable open weights; the other is API-only.
Side by side
| Llama 2-70B | Qwen3.7 Flash | |
|---|---|---|
| Provider | Meta | Alibaba (Qwen) |
| Noometry Index | 24.1 | 39.5 |
| Released | 2023-07-18 | 2026-07-15 |
| Weights | Open | Proprietary |
| Context window | — | 1M |
| Max output | — | 131K |
| Input $ / M tokens | — | $0.03 |
| Output $ / M tokens | — | $0.13 |
| Results tracked | 35 | 7 |
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Category by category
Coding Not comparable
Llama 2-70B: 30.8 (#281), Qwen3.7 Flash: —
| Benchmark | Llama 2-70B | Qwen3.7 Flash |
|---|---|---|
| LMArena Coding | 1079 | — |
Reasoning Qwen3.7 Flash leads
Llama 2-70B: 13.7 (#324), Qwen3.7 Flash: 27.3 (#108)
| Benchmark | Llama 2-70B | Qwen3.7 Flash |
|---|---|---|
| Epoch Capabilities Index | 113.59 | 144.62 |
| NYT Connections (extended) | — | 43.8% |
| Chess Puzzles | — | 23% |
| LMArena Hard Prompts | 1073 | — |
| Mystery Game Puzzles | — | 15% |
| DTBench | 41.6% | — |
| BIG-Bench Hard | 64.9% | — |
| CommonsenseQA 2.0 | 50% | — |
| ForecastBench | 51.4 | — |
| HellaSwag | 85.3% | — |
| LAMBADA | 78.9% | — |
| PIQA | 82.8% | — |
| WinoGrande | 80.2% | — |
Math Qwen3.7 Flash leads
Llama 2-70B: 7.5 (#320), Qwen3.7 Flash: 37.3 (#100)
| Benchmark | Llama 2-70B | Qwen3.7 Flash |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 0% | 86.7% |
| FrontierMath (Tiers 1-3) | — | 19.3% |
| LMArena Math | 1091 | — |
| MATH Level 5 | 3.3% | — |
| GSM8K | 69.6% | — |
Knowledge Qwen3.7 Flash leads
Llama 2-70B: 7.4 (#305), Qwen3.7 Flash: 48.9 (#69)
| Benchmark | Llama 2-70B | Qwen3.7 Flash |
|---|---|---|
| GPQA Diamond | 26.3% | 82.3% |
| LMArena Expert | 1039 | — |
| ARC (AI2) Challenge | 78.3% | — |
| BoolQ | 88.6% | — |
| MMLU | 69.9% | — |
| OpenBookQA | 60.2% | — |
| TriviaQA | 87.6% | — |
Multilingual Not comparable
Llama 2-70B: 27.9 (#269), Qwen3.7 Flash: —
| Benchmark | Llama 2-70B | Qwen3.7 Flash |
|---|---|---|
| LMArena Non-English | 1045 | — |
| LMArena Chinese | 994 | — |
| LMArena French | 1089 | — |
| LMArena German | 1041 | — |
| LMArena Japanese | 927 | — |
| LMArena Korean | 964 | — |
| LMArena Russian | 1083 | — |
| LMArena Spanish | 1142 | — |
Instruction Following Not comparable
Llama 2-70B: 55.1 (#273), Qwen3.7 Flash: —
| Benchmark | Llama 2-70B | Qwen3.7 Flash |
|---|---|---|
| LMArena Instruction Following | 1071 | — |
Long Context Not comparable
Llama 2-70B: 32.2 (#265), Qwen3.7 Flash: —
| Benchmark | Llama 2-70B | Qwen3.7 Flash |
|---|---|---|
| LMArena Longer Query | 1062 | — |
Writing & Preference Not comparable
Llama 2-70B: 32.5 (#274), Qwen3.7 Flash: —
| Benchmark | Llama 2-70B | Qwen3.7 Flash |
|---|---|---|
| LMArena Text | 1115 | — |
| LMArena Creative Writing | 1075 | — |
| LMArena Multi-Turn | 1088 | — |
Frequently asked questions
Is Llama 2-70B better than Qwen3.7 Flash?
Qwen3.7 Flash is the stronger model overall, scoring 39.5 to 24.1 on the Noometry Index.
How many benchmarks do Llama 2-70B and Qwen3.7 Flash share?
3 benchmarks have published results for both models. Llama 2-70B has 35 scored results on Noometry and Qwen3.7 Flash has 7.