Model comparison
Llama 2-13B vs Qwen3.7 Flash
Qwen3.7 Flash is the stronger model overall, scoring 39.9 to 29.6 on the Noometry Index.
Last verified . 2 shared benchmarks.
Meta
Alibaba (Qwen)Summary
- They share 2 benchmarks with published results for both. Llama 2-13B 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 28.1.
- The biggest single-benchmark swing is Chess Puzzles: 0% for Llama 2-13B and 23% for Qwen3.7 Flash.
- Llama 2-13B has downloadable open weights; the other is API-only.
Side by side
| Llama 2-13B | Qwen3.7 Flash | |
|---|---|---|
| Provider | Meta | Alibaba (Qwen) |
| Noometry Index | 29.6 | 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 | 32 | 7 |
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Category by category
Coding Not comparable
Llama 2-13B: 30.9 (#291), Qwen3.7 Flash: —
| Benchmark | Llama 2-13B | Qwen3.7 Flash |
|---|---|---|
| LMArena Coding | 1062 | — |
Reasoning Qwen3.7 Flash leads
Llama 2-13B: 12.8 (#337), Qwen3.7 Flash: 28.2 (#108)
| Benchmark | Llama 2-13B | Qwen3.7 Flash |
|---|---|---|
| Chess Puzzles | 0% | 23% |
| Epoch Capabilities Index | 106.17 | 144.64 |
| NYT Connections (extended) | — | 43.8% |
| LMArena Hard Prompts | 1051 | — |
| Mystery Game Puzzles | — | 15% |
| DTBench | 42.2% | — |
| BIG-Bench Hard | 58.2% | — |
| HellaSwag | 80.7% | — |
| LAMBADA | 76.5% | — |
| PIQA | 80.8% | — |
| WinoGrande | 72.8% | — |
Math Qwen3.7 Flash leads
Llama 2-13B: 31.1 (#229), Qwen3.7 Flash: 38.3 (#140)
| Benchmark | Llama 2-13B | Qwen3.7 Flash |
|---|---|---|
| FrontierMath (Tiers 1-3) | — | 19.3% |
| OTIS Mock AIME 2024-2025 | — | 86.7% |
| LMArena Math | 1065 | — |
| GSM8K | 36.9% | — |
Knowledge Qwen3.7 Flash leads
Llama 2-13B: 28.1 (#249), Qwen3.7 Flash: 48.9 (#75)
| Benchmark | Llama 2-13B | Qwen3.7 Flash |
|---|---|---|
| GPQA Diamond | — | 82.3% |
| LMArena Expert | 1030 | — |
| ARC (AI2) Challenge | 60.3% | — |
| BoolQ | 82.4% | — |
| MMLU | 55.6% | — |
| OpenBookQA | 57% | — |
| TriviaQA | 79.6% | — |
Multimodal Not comparable
Llama 2-13B: —, Qwen3.7 Flash: —
| Benchmark | Llama 2-13B | Qwen3.7 Flash |
|---|---|---|
| ScienceQA | 55.8% | — |
Multilingual Not comparable
Llama 2-13B: 26.5 (#279), Qwen3.7 Flash: —
| Benchmark | Llama 2-13B | Qwen3.7 Flash |
|---|---|---|
| LMArena Non-English | 1024 | — |
| LMArena Chinese | 1001 | — |
| LMArena French | 1044 | — |
| LMArena German | 1009 | — |
| LMArena Japanese | 894 | — |
| LMArena Korean | 953 | — |
| LMArena Russian | 1055 | — |
| LMArena Spanish | 1087 | — |
Instruction Following Not comparable
Llama 2-13B: 53.3 (#287), Qwen3.7 Flash: —
| Benchmark | Llama 2-13B | Qwen3.7 Flash |
|---|---|---|
| LMArena Instruction Following | 1045 | — |
Long Context Not comparable
Llama 2-13B: 32.3 (#269), Qwen3.7 Flash: —
| Benchmark | Llama 2-13B | Qwen3.7 Flash |
|---|---|---|
| LMArena Longer Query | 1064 | — |
Writing & Preference Not comparable
Llama 2-13B: 29.8 (#289), Qwen3.7 Flash: —
| Benchmark | Llama 2-13B | Qwen3.7 Flash |
|---|---|---|
| LMArena Text | 1084 | — |
| LMArena Creative Writing | 1047 | — |
| LMArena Multi-Turn | 1050 | — |
Frequently asked questions
Is Llama 2-13B better than Qwen3.7 Flash?
Qwen3.7 Flash is the stronger model overall, scoring 39.9 to 29.6 on the Noometry Index.
How many benchmarks do Llama 2-13B and Qwen3.7 Flash share?
2 benchmarks have published results for both models. Llama 2-13B has 32 scored results on Noometry and Qwen3.7 Flash has 7.