Model comparison
Llama 2-13B vs Qwen2.5 14B Instruct
Llama 2-13B has enough public results to be ranked (#309); Qwen2.5 14B Instruct does not yet, so treat this comparison as directional.
Last verified . 1 shared benchmarks.
Meta
Alibaba (Qwen)Summary
- They share 1 benchmark with published results for both. Llama 2-13B scores higher in 0 categories and Qwen2.5 14B Instruct in 1 category; one gap is clear of the uncertainty.
- The widest gap is in coding, where Qwen2.5 14B Instruct leads 37.7 to 30.9.
Side by side
| Llama 2-13B | Qwen2.5 14B Instruct | |
|---|---|---|
| Provider | Meta | Alibaba (Qwen) |
| Noometry Index | 29.6 | 38.7 |
| Released | 2023-07-18 | 2024-09 |
| Weights | Open | Open |
| Context window | — | 131K |
| Max output | — | 8K |
| Input $ / M tokens | — | $0.35 |
| Output $ / M tokens | — | $1.40 |
| Results tracked | 32 | 3 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding Qwen2.5 14B Instruct leads
Llama 2-13B: 30.9 (#291), Qwen2.5 14B Instruct: 37.7 (#191)
| Benchmark | Llama 2-13B | Qwen2.5 14B Instruct |
|---|---|---|
| BigCodeBench Instruct | — | 39.8% |
| LMArena Coding | 1062 | — |
| BigCodeBench Complete | — | 52.2% |
Reasoning Not comparable
Llama 2-13B: 12.8 (#337), Qwen2.5 14B Instruct: —
| Benchmark | Llama 2-13B | Qwen2.5 14B Instruct |
|---|---|---|
| Chess Puzzles | 0% | — |
| LMArena Hard Prompts | 1051 | — |
| DTBench | 42.2% | — |
| BIG-Bench Hard | 58.2% | — |
| Epoch Capabilities Index | 106.17 | — |
| HellaSwag | 80.7% | — |
| LAMBADA | 76.5% | — |
| PIQA | 80.8% | — |
| WinoGrande | 72.8% | — |
Math Not comparable
Llama 2-13B: 31.1 (#229), Qwen2.5 14B Instruct: —
| Benchmark | Llama 2-13B | Qwen2.5 14B Instruct |
|---|---|---|
| LMArena Math | 1065 | — |
| GSM8K | 36.9% | — |
Knowledge Not comparable
Llama 2-13B: 28.1 (#249), Qwen2.5 14B Instruct: —
| Benchmark | Llama 2-13B | Qwen2.5 14B Instruct |
|---|---|---|
| MMLU | 55.6% | 79.9% |
| LMArena Expert | 1030 | — |
| ARC (AI2) Challenge | 60.3% | — |
| BoolQ | 82.4% | — |
| OpenBookQA | 57% | — |
| TriviaQA | 79.6% | — |
Multimodal Not comparable
Llama 2-13B: —, Qwen2.5 14B Instruct: —
| Benchmark | Llama 2-13B | Qwen2.5 14B Instruct |
|---|---|---|
| ScienceQA | 55.8% | — |
Multilingual Not comparable
Llama 2-13B: 26.5 (#279), Qwen2.5 14B Instruct: —
| Benchmark | Llama 2-13B | Qwen2.5 14B Instruct |
|---|---|---|
| LMArena Non-English | 1024 | — |
| LMArena Chinese | 1001 | — |
| LMArena French | 1044 | — |
| LMArena German | 1009 | — |
| LMArena Japanese | 894 | — |
| LMArena Korean | 953 | — |
| LMArena Russian | 1055 | — |
| LMArena Spanish | 1087 | — |
Instruction Following Not comparable
Llama 2-13B: 53.3 (#287), Qwen2.5 14B Instruct: —
| Benchmark | Llama 2-13B | Qwen2.5 14B Instruct |
|---|---|---|
| LMArena Instruction Following | 1045 | — |
Long Context Not comparable
Llama 2-13B: 32.3 (#269), Qwen2.5 14B Instruct: —
| Benchmark | Llama 2-13B | Qwen2.5 14B Instruct |
|---|---|---|
| LMArena Longer Query | 1064 | — |
Writing & Preference Not comparable
Llama 2-13B: 29.8 (#289), Qwen2.5 14B Instruct: —
| Benchmark | Llama 2-13B | Qwen2.5 14B Instruct |
|---|---|---|
| LMArena Text | 1084 | — |
| LMArena Creative Writing | 1047 | — |
| LMArena Multi-Turn | 1050 | — |
Frequently asked questions
Is Llama 2-13B better than Qwen2.5 14B Instruct?
Llama 2-13B has enough public results to be ranked (#309); Qwen2.5 14B Instruct does not yet, so treat this comparison as directional.
Is Llama 2-13B or Qwen2.5 14B Instruct better for coding?
Qwen2.5 14B Instruct scores higher on coding benchmarks: 37.7 versus 30.9 in the Noometry coding category.
How many benchmarks do Llama 2-13B and Qwen2.5 14B Instruct share?
1 benchmark has published results for both models. Llama 2-13B has 32 scored results on Noometry and Qwen2.5 14B Instruct has 3.