Model comparison
Llama 2-7B vs Qwen2-72B
Llama 2-7B and Qwen2-72B score almost the same on the Noometry Index (29.1 vs 30.0), so choose on price, context window or the category you care about most.
Last verified . 17 shared benchmarks.
Meta
Alibaba (Qwen)Summary
- They share 17 benchmarks with published results for both. Llama 2-7B scores higher in 3 categories and Qwen2-72B in 5 categories; 6 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Qwen2-72B leads 40.8 to 28.0.
Side by side
| Llama 2-7B | Qwen2-72B | |
|---|---|---|
| Provider | Meta | Alibaba (Qwen) |
| Noometry Index | 29.1 | 30.0 |
| Released | 2023-07-18 | 2024-06-07 |
| Weights | Open | Open |
| Context window | — | — |
| Max output | — | — |
| Input $ / M tokens | — | — |
| Output $ / M tokens | — | — |
| Results tracked | 29 | 26 |
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Category by category
Coding Too close to call
Llama 2-7B: 29.2 (#307), Qwen2-72B: 29.1 (#310)
| Benchmark | Llama 2-7B | Qwen2-72B |
|---|---|---|
| LMArena Coding | 1002 | 1196 |
| WeirdML | — | 11.3% |
| BigCodeBench Instruct | — | 38.5% |
| BigCodeBench Complete | — | 54% |
Agentic & Tool Use Not comparable
Llama 2-7B: —, Qwen2-72B: 17.0 (#146)
| Benchmark | Llama 2-7B | Qwen2-72B |
|---|---|---|
| TheAgentCompany | — | 1.1% |
| METR Time Horizons | — | 29.9% |
Reasoning Qwen2-72B leads
Llama 2-7B: 15.7 (#312), Qwen2-72B: 23.2 (#181)
| Benchmark | Llama 2-7B | Qwen2-72B |
|---|---|---|
| LMArena Hard Prompts | 1009 | 1191 |
| Epoch Capabilities Index | 99.06 | 125.28 |
| Chess Puzzles | 0% | — |
| BIG-Bench Hard | 39.2% | — |
| HellaSwag | 77.2% | — |
| LAMBADA | 73.3% | — |
| PIQA | 78.8% | — |
| WinoGrande | 69.2% | — |
Math Too close to call
Llama 2-7B: 30.7 (#233), Qwen2-72B: 30.2 (#236)
| Benchmark | Llama 2-7B | Qwen2-72B |
|---|---|---|
| LMArena Math | 1042 | 1235 |
| MATH Level 5 | — | 39.1% |
| GSM8K | 16.7% | — |
Knowledge Llama 2-7B leads
Llama 2-7B: 28.2 (#248), Qwen2-72B: 21.2 (#275)
| Benchmark | Llama 2-7B | Qwen2-72B |
|---|---|---|
| LMArena Expert | 1036 | 1171 |
| MMLU | 45.8% | 82.4% |
| GPQA Diamond | — | 40.8% |
| ARC (AI2) Challenge | 45.9% | — |
| BoolQ | 77.9% | — |
| OpenBookQA | 58.6% | — |
| TriviaQA | 73.7% | — |
Multimodal Not comparable
Llama 2-7B: —, Qwen2-72B: —
| Benchmark | Llama 2-7B | Qwen2-72B |
|---|---|---|
| ScienceQA | 43.1% | — |
Multilingual Qwen2-72B leads
Llama 2-7B: 23.8 (#293), Qwen2-72B: 35.9 (#244)
| Benchmark | Llama 2-7B | Qwen2-72B |
|---|---|---|
| LMArena Non-English | 973 | 1176 |
| LMArena Chinese | 973 | 1240 |
| LMArena French | 970 | 1170 |
| LMArena German | 978 | 1151 |
| LMArena Russian | 995 | 1169 |
| LMArena Spanish | 1007 | 1169 |
| LMArena Japanese | — | 1111 |
| LMArena Korean | — | 1083 |
Instruction Following Qwen2-72B leads
Llama 2-7B: 50.8 (#298), Qwen2-72B: 61.7 (#241)
| Benchmark | Llama 2-7B | Qwen2-72B |
|---|---|---|
| LMArena Instruction Following | 1006 | 1181 |
Long Context Qwen2-72B leads
Llama 2-7B: 30.4 (#287), Qwen2-72B: 36.1 (#235)
| Benchmark | Llama 2-7B | Qwen2-72B |
|---|---|---|
| LMArena Longer Query | 999 | 1192 |
Writing & Preference Qwen2-72B leads
Llama 2-7B: 28.0 (#298), Qwen2-72B: 40.8 (#241)
| Benchmark | Llama 2-7B | Qwen2-72B |
|---|---|---|
| LMArena Text | 1053 | 1203 |
| LMArena Creative Writing | 1033 | 1181 |
| LMArena Multi-Turn | 1029 | 1196 |
Frequently asked questions
Is Llama 2-7B better than Qwen2-72B?
Llama 2-7B and Qwen2-72B score almost the same on the Noometry Index (29.1 vs 30.0), so choose on price, context window or the category you care about most.
Is Llama 2-7B or Qwen2-72B better for coding?
They score almost the same on coding (29.2 vs 29.1); test both on your own repository before choosing.
How many benchmarks do Llama 2-7B and Qwen2-72B share?
17 benchmarks have published results for both models. Llama 2-7B has 29 scored results on Noometry and Qwen2-72B has 26.