Model comparison
Llama 2-13B vs Qwen2-72B
Llama 2-13B and Qwen2-72B score almost the same on the Noometry Index (29.6 vs 30.0), so choose on price, context window or the category you care about most.
Last verified . 19 shared benchmarks.
Meta
Alibaba (Qwen)Summary
- They share 19 benchmarks with published results for both. Llama 2-13B scores higher in 3 categories and Qwen2-72B in 5 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Qwen2-72B leads 40.8 to 29.8.
Side by side
| Llama 2-13B | Qwen2-72B | |
|---|---|---|
| Provider | Meta | Alibaba (Qwen) |
| Noometry Index | 29.6 | 30.0 |
| Released | 2023-07-18 | 2024-06-07 |
| Weights | Open | Open |
| Context window | — | — |
| Max output | — | — |
| Input $ / M tokens | — | — |
| Output $ / M tokens | — | — |
| Results tracked | 32 | 26 |
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Category by category
Coding Llama 2-13B leads
Llama 2-13B: 30.9 (#291), Qwen2-72B: 29.1 (#310)
| Benchmark | Llama 2-13B | Qwen2-72B |
|---|---|---|
| LMArena Coding | 1062 | 1196 |
| WeirdML | — | 11.3% |
| BigCodeBench Instruct | — | 38.5% |
| BigCodeBench Complete | — | 54% |
Agentic & Tool Use Not comparable
Llama 2-13B: —, Qwen2-72B: 17.0 (#146)
| Benchmark | Llama 2-13B | Qwen2-72B |
|---|---|---|
| TheAgentCompany | — | 1.1% |
| METR Time Horizons | — | 29.9% |
Reasoning Qwen2-72B leads
Llama 2-13B: 12.8 (#337), Qwen2-72B: 23.2 (#181)
| Benchmark | Llama 2-13B | Qwen2-72B |
|---|---|---|
| LMArena Hard Prompts | 1051 | 1191 |
| Epoch Capabilities Index | 106.17 | 125.28 |
| Chess Puzzles | 0% | — |
| DTBench | 42.2% | — |
| BIG-Bench Hard | 58.2% | — |
| HellaSwag | 80.7% | — |
| LAMBADA | 76.5% | — |
| PIQA | 80.8% | — |
| WinoGrande | 72.8% | — |
Math Too close to call
Llama 2-13B: 31.1 (#229), Qwen2-72B: 30.2 (#236)
| Benchmark | Llama 2-13B | Qwen2-72B |
|---|---|---|
| LMArena Math | 1065 | 1235 |
| MATH Level 5 | — | 39.1% |
| GSM8K | 36.9% | — |
Knowledge Llama 2-13B leads
Llama 2-13B: 28.1 (#249), Qwen2-72B: 21.2 (#275)
| Benchmark | Llama 2-13B | Qwen2-72B |
|---|---|---|
| LMArena Expert | 1030 | 1171 |
| MMLU | 55.6% | 82.4% |
| GPQA Diamond | — | 40.8% |
| ARC (AI2) Challenge | 60.3% | — |
| BoolQ | 82.4% | — |
| OpenBookQA | 57% | — |
| TriviaQA | 79.6% | — |
Multimodal Not comparable
Llama 2-13B: —, Qwen2-72B: —
| Benchmark | Llama 2-13B | Qwen2-72B |
|---|---|---|
| ScienceQA | 55.8% | — |
Multilingual Qwen2-72B leads
Llama 2-13B: 26.5 (#279), Qwen2-72B: 35.9 (#244)
| Benchmark | Llama 2-13B | Qwen2-72B |
|---|---|---|
| LMArena Non-English | 1024 | 1176 |
| LMArena Chinese | 1001 | 1240 |
| LMArena French | 1044 | 1170 |
| LMArena German | 1009 | 1151 |
| LMArena Japanese | 894 | 1111 |
| LMArena Korean | 953 | 1083 |
| LMArena Russian | 1055 | 1169 |
| LMArena Spanish | 1087 | 1169 |
Instruction Following Qwen2-72B leads
Llama 2-13B: 53.3 (#287), Qwen2-72B: 61.7 (#241)
| Benchmark | Llama 2-13B | Qwen2-72B |
|---|---|---|
| LMArena Instruction Following | 1045 | 1181 |
Long Context Qwen2-72B leads
Llama 2-13B: 32.3 (#269), Qwen2-72B: 36.1 (#235)
| Benchmark | Llama 2-13B | Qwen2-72B |
|---|---|---|
| LMArena Longer Query | 1064 | 1192 |
Writing & Preference Qwen2-72B leads
Llama 2-13B: 29.8 (#289), Qwen2-72B: 40.8 (#241)
| Benchmark | Llama 2-13B | Qwen2-72B |
|---|---|---|
| LMArena Text | 1084 | 1203 |
| LMArena Creative Writing | 1047 | 1181 |
| LMArena Multi-Turn | 1050 | 1196 |
Frequently asked questions
Is Llama 2-13B better than Qwen2-72B?
Llama 2-13B and Qwen2-72B score almost the same on the Noometry Index (29.6 vs 30.0), so choose on price, context window or the category you care about most.
Is Llama 2-13B or Qwen2-72B better for coding?
Llama 2-13B scores higher on coding benchmarks: 30.9 versus 29.1 in the Noometry coding category.
How many benchmarks do Llama 2-13B and Qwen2-72B share?
19 benchmarks have published results for both models. Llama 2-13B has 32 scored results on Noometry and Qwen2-72B has 26.