Model comparison
Llama 2-13B vs Qwen Max
Qwen Max is the stronger model overall, scoring 34.4 to 29.1 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 2 categories and Qwen Max in 6 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Qwen Max leads 48.0 to 30.0.
- Llama 2-13B has downloadable open weights; the other is API-only.
Side by side
| Llama 2-13B | Qwen Max | |
|---|---|---|
| Provider | Meta | Alibaba (Qwen) |
| Noometry Index | 29.1 | 34.4 |
| Released | 2023-07-18 | 2024-04-03 |
| Weights | Open | Proprietary |
| Context window | — | 33K |
| Max output | — | 8K |
| Input $ / M tokens | — | $1.60 |
| Output $ / M tokens | — | $6.40 |
| Results tracked | 32 | 23 |
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Category by category
Coding Too close to call
Llama 2-13B: 30.4 (#287), Qwen Max: 30.3 (#288)
| Benchmark | Llama 2-13B | Qwen Max |
|---|---|---|
| LMArena Coding | 1062 | 1288 |
| Aider Polyglot | — | 21.8% |
Reasoning Qwen Max leads
Llama 2-13B: 12.3 (#333), Qwen Max: 24.1 (#154)
| Benchmark | Llama 2-13B | Qwen Max |
|---|---|---|
| LMArena Hard Prompts | 1051 | 1270 |
| Chess Puzzles | 0% | — |
| DTBench | 42.2% | — |
| BIG-Bench Hard | 58.2% | — |
| Epoch Capabilities Index | 105.8 | — |
| HellaSwag | 80.7% | — |
| LAMBADA | 76.5% | — |
| PIQA | 80.8% | — |
| WinoGrande | 72.8% | — |
Math Llama 2-13B leads
Llama 2-13B: 28.7 (#226), Qwen Max: 21.0 (#272)
| Benchmark | Llama 2-13B | Qwen Max |
|---|---|---|
| LMArena Math | 1065 | 1275 |
| OTIS Mock AIME 2024-2025 | — | 16.1% |
| MATH Level 5 | — | 67.2% |
| FrontierMath (Feb 2025 set) | — | 1% |
| GSM8K | 36.9% | — |
Knowledge Qwen Max leads
Llama 2-13B: 27.5 (#244), Qwen Max: 30.3 (#222)
| Benchmark | Llama 2-13B | Qwen Max |
|---|---|---|
| LMArena Expert | 1030 | 1248 |
| GPQA Diamond | — | 56.1% |
| ARC (AI2) Challenge | 60.3% | — |
| BoolQ | 82.4% | — |
| MMLU | 55.6% | — |
| OpenBookQA | 57% | — |
| TriviaQA | 79.6% | — |
Multimodal Not comparable
Llama 2-13B: —, Qwen Max: —
| Benchmark | Llama 2-13B | Qwen Max |
|---|---|---|
| ScienceQA | 55.8% | — |
Multilingual Qwen Max leads
Llama 2-13B: 26.7 (#274), Qwen Max: 42.0 (#197)
| Benchmark | Llama 2-13B | Qwen Max |
|---|---|---|
| LMArena Non-English | 1024 | 1263 |
| LMArena Chinese | 1001 | 1254 |
| LMArena French | 1043 | 1329 |
| LMArena German | 1009 | 1254 |
| LMArena Japanese | 894 | 1205 |
| LMArena Korean | 953 | 1141 |
| LMArena Russian | 1055 | 1274 |
| LMArena Spanish | 1086 | 1290 |
Instruction Following Qwen Max leads
Llama 2-13B: 53.5 (#282), Qwen Max: 66.7 (#203)
| Benchmark | Llama 2-13B | Qwen Max |
|---|---|---|
| LMArena Instruction Following | 1046 | 1262 |
Long Context Qwen Max leads
Llama 2-13B: 32.3 (#264), Qwen Max: 39.4 (#175)
| Benchmark | Llama 2-13B | Qwen Max |
|---|---|---|
| LMArena Longer Query | 1064 | 1289 |
| Fiction.LiveBench | — | 66.7% |
Writing & Preference Qwen Max leads
Llama 2-13B: 30.0 (#284), Qwen Max: 48.0 (#200)
| Benchmark | Llama 2-13B | Qwen Max |
|---|---|---|
| LMArena Text | 1085 | 1282 |
| LMArena Creative Writing | 1047 | 1248 |
| LMArena Multi-Turn | 1050 | 1277 |
Frequently asked questions
Is Llama 2-13B better than Qwen Max?
Qwen Max is the stronger model overall, scoring 34.4 to 29.1 on the Noometry Index.
Is Llama 2-13B or Qwen Max better for coding?
They score almost the same on coding (30.4 vs 30.3); test both on your own repository before choosing.
How many benchmarks do Llama 2-13B and Qwen Max share?
17 benchmarks have published results for both models. Llama 2-13B has 32 scored results on Noometry and Qwen Max has 23.