Model comparison
Llama 2-13B vs Qwen2.5 32B Instruct
Llama 2-13B and Qwen2.5 32B Instruct score almost the same on the Noometry Index (29.1 vs 29.7), so choose on price, context window or the category you care about most.
Last verified . 2 shared benchmarks.
Meta
Alibaba (Qwen)Summary
- They share 2 benchmarks with published results for both. Llama 2-13B 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 2-13B leads 28.7 to 15.3.
Side by side
| Llama 2-13B | Qwen2.5 32B Instruct | |
|---|---|---|
| Provider | Meta | Alibaba (Qwen) |
| Noometry Index | 29.1 | 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 | 32 | 7 |
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Category by category
Coding Qwen2.5 32B Instruct leads
Llama 2-13B: 30.4 (#287), Qwen2.5 32B Instruct: 38.1 (#165)
| Benchmark | Llama 2-13B | Qwen2.5 32B Instruct |
|---|---|---|
| BigCodeBench Instruct | — | 45% |
| LMArena Coding | 1062 | — |
| BigCodeBench Complete | — | 52.3% |
Reasoning Qwen2.5 32B Instruct leads
Llama 2-13B: 12.3 (#333), Qwen2.5 32B Instruct: 18.5 (#262)
| Benchmark | Llama 2-13B | Qwen2.5 32B Instruct |
|---|---|---|
| Chess Puzzles | 0% | 0% |
| Epoch Capabilities Index | 105.8 | 128.52 |
| LMArena Hard Prompts | 1051 | — |
| DTBench | 42.2% | — |
| BIG-Bench Hard | 58.2% | — |
| HellaSwag | 80.7% | — |
| LAMBADA | 76.5% | — |
| PIQA | 80.8% | — |
| WinoGrande | 72.8% | — |
Math Llama 2-13B leads
Llama 2-13B: 28.7 (#226), Qwen2.5 32B Instruct: 15.3 (#289)
| Benchmark | Llama 2-13B | Qwen2.5 32B Instruct |
|---|---|---|
| OTIS Mock AIME 2024-2025 | — | 7.4% |
| LMArena Math | 1065 | — |
| MATH Level 5 | — | 56.1% |
| GSM8K | 36.9% | — |
Knowledge Llama 2-13B leads
Llama 2-13B: 27.5 (#244), Qwen2.5 32B Instruct: 24.9 (#259)
| Benchmark | Llama 2-13B | Qwen2.5 32B Instruct |
|---|---|---|
| GPQA Diamond | — | 46.1% |
| LMArena Expert | 1030 | — |
| ARC (AI2) Challenge | 60.3% | — |
| BoolQ | 82.4% | — |
| MMLU | 55.6% | — |
| OpenBookQA | 57% | — |
| TriviaQA | 79.6% | — |
Multimodal Not comparable
Llama 2-13B: —, Qwen2.5 32B Instruct: —
| Benchmark | Llama 2-13B | Qwen2.5 32B Instruct |
|---|---|---|
| ScienceQA | 55.8% | — |
Multilingual Not comparable
Llama 2-13B: 26.7 (#274), Qwen2.5 32B Instruct: —
| Benchmark | Llama 2-13B | Qwen2.5 32B Instruct |
|---|---|---|
| LMArena Non-English | 1024 | — |
| LMArena Chinese | 1001 | — |
| LMArena French | 1043 | — |
| LMArena German | 1009 | — |
| LMArena Japanese | 894 | — |
| LMArena Korean | 953 | — |
| LMArena Russian | 1055 | — |
| LMArena Spanish | 1086 | — |
Instruction Following Not comparable
Llama 2-13B: 53.5 (#282), Qwen2.5 32B Instruct: —
| Benchmark | Llama 2-13B | Qwen2.5 32B Instruct |
|---|---|---|
| LMArena Instruction Following | 1046 | — |
Long Context Not comparable
Llama 2-13B: 32.3 (#264), Qwen2.5 32B Instruct: —
| Benchmark | Llama 2-13B | Qwen2.5 32B Instruct |
|---|---|---|
| LMArena Longer Query | 1064 | — |
Writing & Preference Not comparable
Llama 2-13B: 30.0 (#284), Qwen2.5 32B Instruct: —
| Benchmark | Llama 2-13B | Qwen2.5 32B Instruct |
|---|---|---|
| LMArena Text | 1085 | — |
| LMArena Creative Writing | 1047 | — |
| LMArena Multi-Turn | 1050 | — |
Frequently asked questions
Is Llama 2-13B better than Qwen2.5 32B Instruct?
Llama 2-13B and Qwen2.5 32B Instruct score almost the same on the Noometry Index (29.1 vs 29.7), so choose on price, context window or the category you care about most.
Is Llama 2-13B or Qwen2.5 32B Instruct better for coding?
Qwen2.5 32B Instruct scores higher on coding benchmarks: 38.1 versus 30.4 in the Noometry coding category.
How many benchmarks do Llama 2-13B and Qwen2.5 32B Instruct share?
2 benchmarks have published results for both models. Llama 2-13B has 32 scored results on Noometry and Qwen2.5 32B Instruct has 7.