Model comparison
Llama 2-7B vs Qwen3.7 Flash
Qwen3.7 Flash is the stronger model overall, scoring 39.9 to 29.1 on the Noometry Index.
Last verified . 2 shared benchmarks.
Meta
Alibaba (Qwen)Summary
- They share 2 benchmarks with published results for both. Llama 2-7B 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 28.2.
- The biggest single-benchmark swing is Chess Puzzles: 0% for Llama 2-7B and 23% for Qwen3.7 Flash.
- Llama 2-7B has downloadable open weights; the other is API-only.
Side by side
| Llama 2-7B | Qwen3.7 Flash | |
|---|---|---|
| Provider | Meta | Alibaba (Qwen) |
| Noometry Index | 29.1 | 39.9 |
| 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 | 29 | 7 |
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Category by category
Coding Not comparable
Llama 2-7B: 29.2 (#307), Qwen3.7 Flash: —
| Benchmark | Llama 2-7B | Qwen3.7 Flash |
|---|---|---|
| LMArena Coding | 1002 | — |
Reasoning Qwen3.7 Flash leads
Llama 2-7B: 15.7 (#312), Qwen3.7 Flash: 28.2 (#108)
| Benchmark | Llama 2-7B | Qwen3.7 Flash |
|---|---|---|
| Chess Puzzles | 0% | 23% |
| Epoch Capabilities Index | 99.06 | 144.64 |
| NYT Connections (extended) | — | 43.8% |
| LMArena Hard Prompts | 1009 | — |
| Mystery Game Puzzles | — | 15% |
| BIG-Bench Hard | 39.2% | — |
| HellaSwag | 77.2% | — |
| LAMBADA | 73.3% | — |
| PIQA | 78.8% | — |
| WinoGrande | 69.2% | — |
Math Qwen3.7 Flash leads
Llama 2-7B: 30.7 (#233), Qwen3.7 Flash: 38.3 (#140)
| Benchmark | Llama 2-7B | Qwen3.7 Flash |
|---|---|---|
| FrontierMath (Tiers 1-3) | — | 19.3% |
| OTIS Mock AIME 2024-2025 | — | 86.7% |
| LMArena Math | 1042 | — |
| GSM8K | 16.7% | — |
Knowledge Qwen3.7 Flash leads
Llama 2-7B: 28.2 (#248), Qwen3.7 Flash: 48.9 (#75)
| Benchmark | Llama 2-7B | Qwen3.7 Flash |
|---|---|---|
| GPQA Diamond | — | 82.3% |
| LMArena Expert | 1036 | — |
| ARC (AI2) Challenge | 45.9% | — |
| BoolQ | 77.9% | — |
| MMLU | 45.8% | — |
| OpenBookQA | 58.6% | — |
| TriviaQA | 73.7% | — |
Multimodal Not comparable
Llama 2-7B: —, Qwen3.7 Flash: —
| Benchmark | Llama 2-7B | Qwen3.7 Flash |
|---|---|---|
| ScienceQA | 43.1% | — |
Multilingual Not comparable
Llama 2-7B: 23.8 (#293), Qwen3.7 Flash: —
| Benchmark | Llama 2-7B | Qwen3.7 Flash |
|---|---|---|
| LMArena Non-English | 973 | — |
| LMArena Chinese | 973 | — |
| LMArena French | 970 | — |
| LMArena German | 978 | — |
| LMArena Russian | 995 | — |
| LMArena Spanish | 1007 | — |
Instruction Following Not comparable
Llama 2-7B: 50.8 (#298), Qwen3.7 Flash: —
| Benchmark | Llama 2-7B | Qwen3.7 Flash |
|---|---|---|
| LMArena Instruction Following | 1006 | — |
Long Context Not comparable
Llama 2-7B: 30.4 (#287), Qwen3.7 Flash: —
| Benchmark | Llama 2-7B | Qwen3.7 Flash |
|---|---|---|
| LMArena Longer Query | 999 | — |
Writing & Preference Not comparable
Llama 2-7B: 28.0 (#298), Qwen3.7 Flash: —
| Benchmark | Llama 2-7B | Qwen3.7 Flash |
|---|---|---|
| LMArena Text | 1053 | — |
| LMArena Creative Writing | 1033 | — |
| LMArena Multi-Turn | 1029 | — |
Frequently asked questions
Is Llama 2-7B better than Qwen3.7 Flash?
Qwen3.7 Flash is the stronger model overall, scoring 39.9 to 29.1 on the Noometry Index.
How many benchmarks do Llama 2-7B and Qwen3.7 Flash share?
2 benchmarks have published results for both models. Llama 2-7B has 29 scored results on Noometry and Qwen3.7 Flash has 7.