Model comparison
Llama 2-13B vs Qwen3.6 Plus
Qwen3.6 Plus is the stronger model overall, scoring 47.5 to 29.6 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 Qwen3.6 Plus in 8 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Qwen3.6 Plus leads 62.2 to 29.8.
- The biggest single-benchmark swing is DTBench: 42.2% for Llama 2-13B and 81.9% for Qwen3.6 Plus.
- Llama 2-13B has downloadable open weights; the other is API-only.
Side by side
| Llama 2-13B | Qwen3.6 Plus | |
|---|---|---|
| Provider | Meta | Alibaba (Qwen) |
| Noometry Index | 29.6 | 47.5 |
| Released | 2023-07-18 | 2026-03-31 |
| Weights | Open | Proprietary |
| Context window | — | 1M |
| Max output | — | 66K |
| Input $ / M tokens | — | $0.50 |
| Output $ / M tokens | — | $3 |
| Results tracked | 32 | 37 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding Qwen3.6 Plus leads
Llama 2-13B: 30.9 (#291), Qwen3.6 Plus: 40.8 (#130)
| Benchmark | Llama 2-13B | Qwen3.6 Plus |
|---|---|---|
| LMArena Coding | 1062 | 1467 |
| SWE-bench Verified | — | 57.9% |
| LMArena WebDev | — | 1461 |
| SciCode | — | 40.7% |
| ALE-Bench | — | 670.15 |
Agentic & Tool Use Not comparable
Llama 2-13B: —, Qwen3.6 Plus: —
| Benchmark | Llama 2-13B | Qwen3.6 Plus |
|---|---|---|
| Vending-Bench 2 | — | 5,115 |
Reasoning Qwen3.6 Plus leads
Llama 2-13B: 12.8 (#337), Qwen3.6 Plus: 29.3 (#93)
| Benchmark | Llama 2-13B | Qwen3.6 Plus |
|---|---|---|
| Chess Puzzles | 0% | 17% |
| LMArena Hard Prompts | 1051 | 1449 |
| DTBench | 42.2% | 81.9% |
| Epoch Capabilities Index | 106.17 | 147.65 |
| NYT Connections (extended) | — | 60.3% |
| CritPt | — | 2.9% |
| Thematic Generalization | — | 59.5% |
| Mystery Game Puzzles | — | 12% |
| LMCA | — | 33.1% |
| BIG-Bench Hard | 58.2% | — |
| HellaSwag | 80.7% | — |
| LAMBADA | 76.5% | — |
| PIQA | 80.8% | — |
| WinoGrande | 72.8% | — |
Math Qwen3.6 Plus leads
Llama 2-13B: 31.1 (#229), Qwen3.6 Plus: 51.8 (#54)
| Benchmark | Llama 2-13B | Qwen3.6 Plus |
|---|---|---|
| LMArena Math | 1065 | 1450 |
| FrontierMath (Tiers 1-3) | — | 38.2% |
| OTIS Mock AIME 2024-2025 | — | 93.3% |
| FrontierMath (Feb 2025 set) | — | 26.2% |
| FrontierMath Tier 4 (v1) | — | 8.3% |
| GSM8K | 36.9% | — |
Knowledge Qwen3.6 Plus leads
Llama 2-13B: 28.1 (#249), Qwen3.6 Plus: 56.1 (#45)
| Benchmark | Llama 2-13B | Qwen3.6 Plus |
|---|---|---|
| LMArena Expert | 1030 | 1454 |
| GPQA Diamond | — | 88.4% |
| SimpleQA Verified | — | 44.1% |
| ARC (AI2) Challenge | 60.3% | — |
| BoolQ | 82.4% | — |
| MMLU | 55.6% | — |
| OpenBookQA | 57% | — |
| TriviaQA | 79.6% | — |
Multimodal Not comparable
Llama 2-13B: —, Qwen3.6 Plus: —
| Benchmark | Llama 2-13B | Qwen3.6 Plus |
|---|---|---|
| ScienceQA | 55.8% | — |
Multilingual Qwen3.6 Plus leads
Llama 2-13B: 26.5 (#279), Qwen3.6 Plus: 53.3 (#70)
| Benchmark | Llama 2-13B | Qwen3.6 Plus |
|---|---|---|
| LMArena Non-English | 1024 | 1424 |
| LMArena Chinese | 1001 | 1477 |
| LMArena French | 1044 | 1455 |
| LMArena German | 1009 | 1452 |
| LMArena Japanese | 894 | 1389 |
| LMArena Korean | 953 | 1379 |
| LMArena Russian | 1055 | 1434 |
| LMArena Spanish | 1087 | 1432 |
Instruction Following Qwen3.6 Plus leads
Llama 2-13B: 53.3 (#287), Qwen3.6 Plus: 75.0 (#74)
| Benchmark | Llama 2-13B | Qwen3.6 Plus |
|---|---|---|
| LMArena Instruction Following | 1045 | 1425 |
Long Context Qwen3.6 Plus leads
Llama 2-13B: 32.3 (#269), Qwen3.6 Plus: 45.2 (#49)
| Benchmark | Llama 2-13B | Qwen3.6 Plus |
|---|---|---|
| LMArena Longer Query | 1064 | 1439 |
| CL-bench | — | 20.3% |
Writing & Preference Qwen3.6 Plus leads
Llama 2-13B: 29.8 (#289), Qwen3.6 Plus: 62.2 (#82)
| Benchmark | Llama 2-13B | Qwen3.6 Plus |
|---|---|---|
| LMArena Text | 1084 | 1437 |
| LMArena Creative Writing | 1047 | 1404 |
| LMArena Multi-Turn | 1050 | 1438 |
Frequently asked questions
Is Llama 2-13B better than Qwen3.6 Plus?
Qwen3.6 Plus is the stronger model overall, scoring 47.5 to 29.6 on the Noometry Index.
Is Llama 2-13B or Qwen3.6 Plus better for coding?
Qwen3.6 Plus scores higher on coding benchmarks: 40.8 versus 30.9 in the Noometry coding category.
How many benchmarks do Llama 2-13B and Qwen3.6 Plus share?
20 benchmarks have published results for both models. Llama 2-13B has 32 scored results on Noometry and Qwen3.6 Plus has 37.