Model comparison
Llama 2-13B vs Qwen2.5-VL 72B Instruct
Llama 2-13B and Qwen2.5-VL 72B Instruct score almost the same on the Noometry Index (29.6 vs 29.9), so choose on price, context window or the category you care about most.
Last verified . 0 shared benchmarks.
Meta
Alibaba (Qwen)Summary
- The widest gap is in reasoning, where Qwen2.5-VL 72B Instruct leads 20.7 to 12.8.
Side by side
| Llama 2-13B | Qwen2.5-VL 72B Instruct | |
|---|---|---|
| Provider | Meta | Alibaba (Qwen) |
| Noometry Index | 29.6 | 29.9 |
| Released | 2023-07-18 | 2024-09 |
| Weights | Open | Open |
| Context window | — | 131K |
| Max output | — | 8K |
| Input $ / M tokens | — | $2.80 |
| Output $ / M tokens | — | $8.40 |
| Results tracked | 32 | 6 |
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Category by category
Coding Not comparable
Llama 2-13B: 30.9 (#291), Qwen2.5-VL 72B Instruct: —
| Benchmark | Llama 2-13B | Qwen2.5-VL 72B Instruct |
|---|---|---|
| LMArena Coding | 1062 | — |
Agentic & Tool Use Not comparable
Llama 2-13B: —, Qwen2.5-VL 72B Instruct: 18.6 (#144)
| Benchmark | Llama 2-13B | Qwen2.5-VL 72B Instruct |
|---|---|---|
| OSWorld | — | 5% |
Reasoning Qwen2.5-VL 72B Instruct leads
Llama 2-13B: 12.8 (#337), Qwen2.5-VL 72B Instruct: 20.7 (#233)
| Benchmark | Llama 2-13B | Qwen2.5-VL 72B Instruct |
|---|---|---|
| Kagi LLM Benchmark | — | 36% |
| 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-VL 72B Instruct: —
| Benchmark | Llama 2-13B | Qwen2.5-VL 72B Instruct |
|---|---|---|
| LMArena Math | 1065 | — |
| GSM8K | 36.9% | — |
Knowledge Not comparable
Llama 2-13B: 28.1 (#249), Qwen2.5-VL 72B Instruct: —
| Benchmark | Llama 2-13B | Qwen2.5-VL 72B Instruct |
|---|---|---|
| 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-VL 72B Instruct: 33.5 (#97)
| Benchmark | Llama 2-13B | Qwen2.5-VL 72B Instruct |
|---|---|---|
| LMArena Vision | — | 1107 |
| Video-MME | — | 73.5% |
| GeoBench | — | 62% |
| ScienceQA | 55.8% | — |
| SpatialViz-Bench | — | 33.3% |
Multilingual Not comparable
Llama 2-13B: 26.5 (#279), Qwen2.5-VL 72B Instruct: —
| Benchmark | Llama 2-13B | Qwen2.5-VL 72B 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-VL 72B Instruct: —
| Benchmark | Llama 2-13B | Qwen2.5-VL 72B Instruct |
|---|---|---|
| LMArena Instruction Following | 1045 | — |
Long Context Not comparable
Llama 2-13B: 32.3 (#269), Qwen2.5-VL 72B Instruct: —
| Benchmark | Llama 2-13B | Qwen2.5-VL 72B Instruct |
|---|---|---|
| LMArena Longer Query | 1064 | — |
Writing & Preference Not comparable
Llama 2-13B: 29.8 (#289), Qwen2.5-VL 72B Instruct: —
| Benchmark | Llama 2-13B | Qwen2.5-VL 72B Instruct |
|---|---|---|
| LMArena Text | 1084 | — |
| LMArena Creative Writing | 1047 | — |
| LMArena Multi-Turn | 1050 | — |
Frequently asked questions
Is Llama 2-13B better than Qwen2.5-VL 72B Instruct?
Llama 2-13B and Qwen2.5-VL 72B Instruct score almost the same on the Noometry Index (29.6 vs 29.9), so choose on price, context window or the category you care about most.
How many benchmarks do Llama 2-13B and Qwen2.5-VL 72B Instruct share?
0 benchmarks have published results for both models. Llama 2-13B has 32 scored results on Noometry and Qwen2.5-VL 72B Instruct has 6.