Model comparison
Llama 2-7B vs Qwen2.5 32B Instruct
Qwen2.5 32B Instruct is the stronger model overall, scoring 29.7 to 28.6 on the Noometry Index.
Last verified . 2 shared benchmarks.
Meta
Alibaba (Qwen)Summary
- They share 2 benchmarks with published results for both. Llama 2-7B scores higher in 2 categories and Qwen2.5 32B Instruct in 2 categories; 4 gaps are clear of the uncertainty.
- The widest gap is in math, where Llama 2-7B leads 28.2 to 15.3.
Side by side
| Llama 2-7B | Qwen2.5 32B Instruct | |
|---|---|---|
| Provider | Meta | Alibaba (Qwen) |
| Noometry Index | 28.6 | 29.7 |
| Released | 2023-07-18 | 2024-09 |
| Weights | Open | Open |
| Context window | — | 131K |
| Max output | — | 8K |
| Input $ / M tokens | — | $0.70 |
| Output $ / M tokens | — | $2.80 |
| Results tracked | 29 | 7 |
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Category by category
Coding Qwen2.5 32B Instruct leads
Llama 2-7B: 28.7 (#302), Qwen2.5 32B Instruct: 38.1 (#165)
| Benchmark | Llama 2-7B | Qwen2.5 32B Instruct |
|---|---|---|
| BigCodeBench Instruct | — | 45% |
| LMArena Coding | 1002 | — |
| BigCodeBench Complete | — | 52.3% |
Reasoning Qwen2.5 32B Instruct leads
Llama 2-7B: 15.1 (#309), Qwen2.5 32B Instruct: 18.5 (#262)
| Benchmark | Llama 2-7B | Qwen2.5 32B Instruct |
|---|---|---|
| Chess Puzzles | 0% | 0% |
| Epoch Capabilities Index | 98.54 | 128.52 |
| LMArena Hard Prompts | 1009 | — |
| BIG-Bench Hard | 39.2% | — |
| HellaSwag | 77.2% | — |
| LAMBADA | 73.3% | — |
| PIQA | 78.8% | — |
| WinoGrande | 69.2% | — |
Math Llama 2-7B leads
Llama 2-7B: 28.2 (#231), Qwen2.5 32B Instruct: 15.3 (#289)
| Benchmark | Llama 2-7B | Qwen2.5 32B Instruct |
|---|---|---|
| OTIS Mock AIME 2024-2025 | — | 7.4% |
| LMArena Math | 1042 | — |
| MATH Level 5 | — | 56.1% |
| GSM8K | 16.7% | — |
Knowledge Llama 2-7B leads
Llama 2-7B: 27.7 (#243), Qwen2.5 32B Instruct: 24.9 (#259)
| Benchmark | Llama 2-7B | Qwen2.5 32B Instruct |
|---|---|---|
| GPQA Diamond | — | 46.1% |
| LMArena Expert | 1036 | — |
| ARC (AI2) Challenge | 45.9% | — |
| BoolQ | 77.9% | — |
| MMLU | 45.8% | — |
| OpenBookQA | 58.6% | — |
| TriviaQA | 73.7% | — |
Multimodal Not comparable
Llama 2-7B: —, Qwen2.5 32B Instruct: —
| Benchmark | Llama 2-7B | Qwen2.5 32B Instruct |
|---|---|---|
| ScienceQA | 43.1% | — |
Multilingual Not comparable
Llama 2-7B: 23.9 (#288), Qwen2.5 32B Instruct: —
| Benchmark | Llama 2-7B | Qwen2.5 32B Instruct |
|---|---|---|
| LMArena Non-English | 973 | — |
| LMArena Chinese | 973 | — |
| LMArena French | 969 | — |
| LMArena German | 978 | — |
| LMArena Russian | 995 | — |
| LMArena Spanish | 1007 | — |
Instruction Following Not comparable
Llama 2-7B: 51.0 (#293), Qwen2.5 32B Instruct: —
| Benchmark | Llama 2-7B | Qwen2.5 32B Instruct |
|---|---|---|
| LMArena Instruction Following | 1006 | — |
Long Context Not comparable
Llama 2-7B: 30.4 (#282), Qwen2.5 32B Instruct: —
| Benchmark | Llama 2-7B | Qwen2.5 32B Instruct |
|---|---|---|
| LMArena Longer Query | 999 | — |
Writing & Preference Not comparable
Llama 2-7B: 28.1 (#293), Qwen2.5 32B Instruct: —
| Benchmark | Llama 2-7B | Qwen2.5 32B Instruct |
|---|---|---|
| LMArena Text | 1053 | — |
| LMArena Creative Writing | 1033 | — |
| LMArena Multi-Turn | 1029 | — |
Frequently asked questions
Is Llama 2-7B better than Qwen2.5 32B Instruct?
Qwen2.5 32B Instruct is the stronger model overall, scoring 29.7 to 28.6 on the Noometry Index.
Is Llama 2-7B or Qwen2.5 32B Instruct better for coding?
Qwen2.5 32B Instruct scores higher on coding benchmarks: 38.1 versus 28.7 in the Noometry coding category.
How many benchmarks do Llama 2-7B and Qwen2.5 32B Instruct share?
2 benchmarks have published results for both models. Llama 2-7B has 29 scored results on Noometry and Qwen2.5 32B Instruct has 7.