Model comparison
Llama 2-13B vs Qwen3.6 Max Preview
Qwen3.6 Max Preview is the stronger model overall, scoring 51.5 to 29.6 on the Noometry Index.
Last verified . 17 shared benchmarks.
Meta
Alibaba (Qwen)Summary
- They share 17 benchmarks with published results for both. Llama 2-13B scores higher in 0 categories and Qwen3.6 Max Preview in 8 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Qwen3.6 Max Preview leads 63.8 to 29.8.
- The biggest single-benchmark swing is DTBench: 42.2% for Llama 2-13B and 87.2% for Qwen3.6 Max Preview.
- Llama 2-13B has downloadable open weights; the other is API-only.
Side by side
| Llama 2-13B | Qwen3.6 Max Preview | |
|---|---|---|
| Provider | Meta | Alibaba (Qwen) |
| Noometry Index | 29.6 | 51.5 |
| Released | 2023-07-18 | 2026-04-20 |
| Weights | Open | Proprietary |
| Context window | — | 262K |
| Max output | — | 66K |
| Input $ / M tokens | — | $1.30 |
| Output $ / M tokens | — | $7.80 |
| Results tracked | 32 | 29 |
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Category by category
Coding Qwen3.6 Max Preview leads
Llama 2-13B: 30.9 (#291), Qwen3.6 Max Preview: 48.7 (#54)
| Benchmark | Llama 2-13B | Qwen3.6 Max Preview |
|---|---|---|
| LMArena Coding | 1062 | 1471 |
| SWE-bench Verified | — | 76.7% |
| LMArena WebDev | — | 1482 |
Agentic & Tool Use Not comparable
Llama 2-13B: —, Qwen3.6 Max Preview: —
| Benchmark | Llama 2-13B | Qwen3.6 Max Preview |
|---|---|---|
| Vending-Bench 2 | — | 4,254 |
Reasoning Qwen3.6 Max Preview leads
Llama 2-13B: 12.8 (#337), Qwen3.6 Max Preview: 41.7 (#53)
| Benchmark | Llama 2-13B | Qwen3.6 Max Preview |
|---|---|---|
| Chess Puzzles | 0% | 20% |
| LMArena Hard Prompts | 1051 | 1457 |
| DTBench | 42.2% | 87.2% |
| Epoch Capabilities Index | 106.17 | 149.24 |
| SimpleBench | — | 63% |
| NYT Connections (extended) | — | 74.1% |
| Mystery Game Puzzles | — | 19% |
| LMCA | — | 42.5% |
| BIG-Bench Hard | 58.2% | — |
| HellaSwag | 80.7% | — |
| LAMBADA | 76.5% | — |
| PIQA | 80.8% | — |
| WinoGrande | 72.8% | — |
Math Qwen3.6 Max Preview leads
Llama 2-13B: 31.1 (#229), Qwen3.6 Max Preview: 54.1 (#46)
| Benchmark | Llama 2-13B | Qwen3.6 Max Preview |
|---|---|---|
| LMArena Math | 1065 | 1465 |
| OTIS Mock AIME 2024-2025 | — | 91.1% |
| FrontierMath (Feb 2025 set) | — | 23.1% |
| FrontierMath Tier 4 (v1) | — | 4.2% |
| GSM8K | 36.9% | — |
Knowledge Qwen3.6 Max Preview leads
Llama 2-13B: 28.1 (#249), Qwen3.6 Max Preview: 57.6 (#39)
| Benchmark | Llama 2-13B | Qwen3.6 Max Preview |
|---|---|---|
| LMArena Expert | 1030 | 1478 |
| GPQA Diamond | — | 87.4% |
| SimpleQA Verified | — | 52% |
| ARC (AI2) Challenge | 60.3% | — |
| BoolQ | 82.4% | — |
| MMLU | 55.6% | — |
| OpenBookQA | 57% | — |
| TriviaQA | 79.6% | — |
Multimodal Not comparable
Llama 2-13B: —, Qwen3.6 Max Preview: —
| Benchmark | Llama 2-13B | Qwen3.6 Max Preview |
|---|---|---|
| ScienceQA | 55.8% | — |
Multilingual Qwen3.6 Max Preview leads
Llama 2-13B: 26.5 (#279), Qwen3.6 Max Preview: 54.2 (#48)
| Benchmark | Llama 2-13B | Qwen3.6 Max Preview |
|---|---|---|
| LMArena Non-English | 1024 | 1437 |
| LMArena Chinese | 1001 | 1487 |
| LMArena French | 1044 | 1449 |
| LMArena Russian | 1055 | 1445 |
| LMArena Spanish | 1087 | 1454 |
| LMArena German | 1009 | — |
| LMArena Japanese | 894 | — |
| LMArena Korean | 953 | — |
Instruction Following Qwen3.6 Max Preview leads
Llama 2-13B: 53.3 (#287), Qwen3.6 Max Preview: 75.7 (#55)
| Benchmark | Llama 2-13B | Qwen3.6 Max Preview |
|---|---|---|
| LMArena Instruction Following | 1045 | 1438 |
Long Context Qwen3.6 Max Preview leads
Llama 2-13B: 32.3 (#269), Qwen3.6 Max Preview: 44.6 (#61)
| Benchmark | Llama 2-13B | Qwen3.6 Max Preview |
|---|---|---|
| LMArena Longer Query | 1064 | 1457 |
Writing & Preference Qwen3.6 Max Preview leads
Llama 2-13B: 29.8 (#289), Qwen3.6 Max Preview: 63.8 (#60)
| Benchmark | Llama 2-13B | Qwen3.6 Max Preview |
|---|---|---|
| LMArena Text | 1084 | 1447 |
| LMArena Creative Writing | 1047 | 1435 |
| LMArena Multi-Turn | 1050 | 1456 |
Frequently asked questions
Is Llama 2-13B better than Qwen3.6 Max Preview?
Qwen3.6 Max Preview is the stronger model overall, scoring 51.5 to 29.6 on the Noometry Index.
Is Llama 2-13B or Qwen3.6 Max Preview better for coding?
Qwen3.6 Max Preview scores higher on coding benchmarks: 48.7 versus 30.9 in the Noometry coding category.
How many benchmarks do Llama 2-13B and Qwen3.6 Max Preview share?
17 benchmarks have published results for both models. Llama 2-13B has 32 scored results on Noometry and Qwen3.6 Max Preview has 29.