Model comparison
Llama 2-13B vs Qwen3.5-Flash
Qwen3.5-Flash is the stronger model overall, scoring 42.3 to 29.1 on the Noometry Index.
Last verified . 20 shared benchmarks.
Meta
Alibaba (Qwen)Summary
- They share 20 benchmarks with published results for both. Llama 2-13B scores higher in 0 categories and Qwen3.5-Flash in 8 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Qwen3.5-Flash leads 58.2 to 30.0.
- The biggest single-benchmark swing is DTBench: 42.2% for Llama 2-13B and 82.9% for Qwen3.5-Flash.
- Llama 2-13B has downloadable open weights; the other is API-only.
Side by side
| Llama 2-13B | Qwen3.5-Flash | |
|---|---|---|
| Provider | Meta | Alibaba (Qwen) |
| Noometry Index | 29.1 | 42.3 |
| Released | 2023-07-18 | 2026-02-23 |
| Weights | Open | Proprietary |
| Context window | — | 1M |
| Max output | — | 66K |
| Input $ / M tokens | — | $0.10 |
| Output $ / M tokens | — | $0.40 |
| Results tracked | 32 | 32 |
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Category by category
Coding Qwen3.5-Flash leads
Llama 2-13B: 30.4 (#287), Qwen3.5-Flash: 33.9 (#234)
| Benchmark | Llama 2-13B | Qwen3.5-Flash |
|---|---|---|
| LMArena Coding | 1062 | 1412 |
| LMArena WebDev | — | 1243 |
| ALE-Bench | — | 221.8 |
Agentic & Tool Use Not comparable
Llama 2-13B: —, Qwen3.5-Flash: —
| Benchmark | Llama 2-13B | Qwen3.5-Flash |
|---|---|---|
| Vending-Bench 2 | — | 462.69 |
Reasoning Qwen3.5-Flash leads
Llama 2-13B: 12.3 (#333), Qwen3.5-Flash: 32.9 (#63)
| Benchmark | Llama 2-13B | Qwen3.5-Flash |
|---|---|---|
| Chess Puzzles | 0% | 21% |
| LMArena Hard Prompts | 1051 | 1404 |
| DTBench | 42.2% | 82.9% |
| Epoch Capabilities Index | 105.8 | 143.98 |
| Mystery Game Puzzles | — | 20% |
| LMCA | — | 29.1% |
| BIG-Bench Hard | 58.2% | — |
| HellaSwag | 80.7% | — |
| LAMBADA | 76.5% | — |
| PIQA | 80.8% | — |
| WinoGrande | 72.8% | — |
Math Qwen3.5-Flash leads
Llama 2-13B: 28.7 (#226), Qwen3.5-Flash: 36.3 (#117)
| Benchmark | Llama 2-13B | Qwen3.5-Flash |
|---|---|---|
| LMArena Math | 1065 | 1407 |
| FrontierMath (Tiers 1-3) | — | 18.2% |
| OTIS Mock AIME 2024-2025 | — | 84.4% |
| FrontierMath (Feb 2025 set) | — | 6.2% |
| FrontierMath Tier 4 (v1) | — | 0% |
| GSM8K | 36.9% | — |
Knowledge Qwen3.5-Flash leads
Llama 2-13B: 27.5 (#244), Qwen3.5-Flash: 43.2 (#84)
| Benchmark | Llama 2-13B | Qwen3.5-Flash |
|---|---|---|
| LMArena Expert | 1030 | 1408 |
| GPQA Diamond | — | 82.3% |
| SimpleQA Verified | — | 20.3% |
| Vectara Hallucination Rate | — | 10.5% |
| ARC (AI2) Challenge | 60.3% | — |
| BoolQ | 82.4% | — |
| MMLU | 55.6% | — |
| OpenBookQA | 57% | — |
| TriviaQA | 79.6% | — |
Multimodal Not comparable
Llama 2-13B: —, Qwen3.5-Flash: —
| Benchmark | Llama 2-13B | Qwen3.5-Flash |
|---|---|---|
| ScienceQA | 55.8% | — |
Multilingual Qwen3.5-Flash leads
Llama 2-13B: 26.7 (#274), Qwen3.5-Flash: 50.7 (#116)
| Benchmark | Llama 2-13B | Qwen3.5-Flash |
|---|---|---|
| LMArena Non-English | 1024 | 1385 |
| LMArena Chinese | 1001 | 1446 |
| LMArena French | 1043 | 1412 |
| LMArena German | 1009 | 1389 |
| LMArena Japanese | 894 | 1369 |
| LMArena Korean | 953 | 1344 |
| LMArena Russian | 1055 | 1379 |
| LMArena Spanish | 1086 | 1399 |
Instruction Following Qwen3.5-Flash leads
Llama 2-13B: 53.5 (#282), Qwen3.5-Flash: 72.8 (#133)
| Benchmark | Llama 2-13B | Qwen3.5-Flash |
|---|---|---|
| LMArena Instruction Following | 1046 | 1374 |
Long Context Qwen3.5-Flash leads
Llama 2-13B: 32.3 (#264), Qwen3.5-Flash: 42.4 (#119)
| Benchmark | Llama 2-13B | Qwen3.5-Flash |
|---|---|---|
| LMArena Longer Query | 1064 | 1392 |
Writing & Preference Qwen3.5-Flash leads
Llama 2-13B: 30.0 (#284), Qwen3.5-Flash: 58.2 (#117)
| Benchmark | Llama 2-13B | Qwen3.5-Flash |
|---|---|---|
| LMArena Text | 1085 | 1397 |
| LMArena Creative Writing | 1047 | 1343 |
| LMArena Multi-Turn | 1050 | 1393 |
Frequently asked questions
Is Llama 2-13B better than Qwen3.5-Flash?
Qwen3.5-Flash is the stronger model overall, scoring 42.3 to 29.1 on the Noometry Index.
Is Llama 2-13B or Qwen3.5-Flash better for coding?
Qwen3.5-Flash scores higher on coding benchmarks: 33.9 versus 30.4 in the Noometry coding category.
How many benchmarks do Llama 2-13B and Qwen3.5-Flash share?
20 benchmarks have published results for both models. Llama 2-13B has 32 scored results on Noometry and Qwen3.5-Flash has 32.