Model comparison
Llama 2-13B vs Qwen1.5 4b Chat
Llama 2-13B and Qwen1.5 4b Chat score almost the same on the Noometry Index (29.6 vs 28.8), so choose on price, context window or the category you care about most.
Last verified . 13 shared benchmarks.
Meta
Alibaba (Qwen)Summary
- They share 13 benchmarks with published results for both. Llama 2-13B scores higher in 7 categories and Qwen1.5 4b Chat in 1 category; 7 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Llama 2-13B leads 29.8 to 23.8.
Side by side
| Llama 2-13B | Qwen1.5 4b Chat | |
|---|---|---|
| Provider | Meta | Alibaba (Qwen) |
| Noometry Index | 29.6 | 28.8 |
| Released | 2023-07-18 | — |
| Weights | Open | Open |
| Context window | — | — |
| Max output | — | — |
| Input $ / M tokens | — | — |
| Output $ / M tokens | — | — |
| Results tracked | 32 | 13 |
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Category by category
Coding Llama 2-13B leads
Llama 2-13B: 30.9 (#291), Qwen1.5 4b Chat: 29.1 (#308)
| Benchmark | Llama 2-13B | Qwen1.5 4b Chat |
|---|---|---|
| LMArena Coding | 1062 | 999 |
Reasoning Qwen1.5 4b Chat leads
Llama 2-13B: 12.8 (#337), Qwen1.5 4b Chat: 18.5 (#279)
| Benchmark | Llama 2-13B | Qwen1.5 4b Chat |
|---|---|---|
| LMArena Hard Prompts | 1051 | 976 |
| Chess Puzzles | 0% | — |
| 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 Too close to call
Llama 2-13B: 31.1 (#229), Qwen1.5 4b Chat: 30.4 (#234)
| Benchmark | Llama 2-13B | Qwen1.5 4b Chat |
|---|---|---|
| LMArena Math | 1065 | 1026 |
| GSM8K | 36.9% | — |
Knowledge Llama 2-13B leads
Llama 2-13B: 28.1 (#249), Qwen1.5 4b Chat: 26.7 (#255)
| Benchmark | Llama 2-13B | Qwen1.5 4b Chat |
|---|---|---|
| LMArena Expert | 1030 | 980 |
| ARC (AI2) Challenge | 60.3% | — |
| BoolQ | 82.4% | — |
| MMLU | 55.6% | — |
| OpenBookQA | 57% | — |
| TriviaQA | 79.6% | — |
Multimodal Not comparable
Llama 2-13B: —, Qwen1.5 4b Chat: —
| Benchmark | Llama 2-13B | Qwen1.5 4b Chat |
|---|---|---|
| ScienceQA | 55.8% | — |
Multilingual Llama 2-13B leads
Llama 2-13B: 26.5 (#279), Qwen1.5 4b Chat: 24.1 (#290)
| Benchmark | Llama 2-13B | Qwen1.5 4b Chat |
|---|---|---|
| LMArena Non-English | 1024 | 979 |
| LMArena Chinese | 1001 | 1024 |
| LMArena German | 1009 | 902 |
| LMArena Russian | 1055 | 952 |
| LMArena French | 1044 | — |
| LMArena Japanese | 894 | — |
| LMArena Korean | 953 | — |
| LMArena Spanish | 1087 | — |
Instruction Following Llama 2-13B leads
Llama 2-13B: 53.3 (#287), Qwen1.5 4b Chat: 49.0 (#300)
| Benchmark | Llama 2-13B | Qwen1.5 4b Chat |
|---|---|---|
| LMArena Instruction Following | 1045 | 978 |
Long Context Llama 2-13B leads
Llama 2-13B: 32.3 (#269), Qwen1.5 4b Chat: 30.1 (#290)
| Benchmark | Llama 2-13B | Qwen1.5 4b Chat |
|---|---|---|
| LMArena Longer Query | 1064 | 988 |
Writing & Preference Llama 2-13B leads
Llama 2-13B: 29.8 (#289), Qwen1.5 4b Chat: 23.8 (#309)
| Benchmark | Llama 2-13B | Qwen1.5 4b Chat |
|---|---|---|
| LMArena Text | 1084 | 997 |
| LMArena Creative Writing | 1047 | 969 |
| LMArena Multi-Turn | 1050 | 977 |
Frequently asked questions
Is Llama 2-13B better than Qwen1.5 4b Chat?
Llama 2-13B and Qwen1.5 4b Chat score almost the same on the Noometry Index (29.6 vs 28.8), so choose on price, context window or the category you care about most.
Is Llama 2-13B or Qwen1.5 4b Chat better for coding?
Llama 2-13B scores higher on coding benchmarks: 30.9 versus 29.1 in the Noometry coding category.
How many benchmarks do Llama 2-13B and Qwen1.5 4b Chat share?
13 benchmarks have published results for both models. Llama 2-13B has 32 scored results on Noometry and Qwen1.5 4b Chat has 13.