Model comparison
Llama 2-7B vs Qwen1.5-14B
Qwen1.5-14B is the stronger model overall, scoring 32.7 to 29.1 on the Noometry Index.
Last verified . 16 shared benchmarks.
Meta
Alibaba (Qwen)Summary
- They share 16 benchmarks with published results for both. Llama 2-7B scores higher in 0 categories and Qwen1.5-14B in 8 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in multilingual, where Qwen1.5-14B leads 30.7 to 23.8.
Side by side
| Llama 2-7B | Qwen1.5-14B | |
|---|---|---|
| Provider | Meta | Alibaba (Qwen) |
| Noometry Index | 29.1 | 32.7 |
| Released | 2023-07-18 | 2024-02-04 |
| Weights | Open | Open |
| Context window | — | — |
| Max output | — | — |
| Input $ / M tokens | — | — |
| Output $ / M tokens | — | — |
| Results tracked | 29 | 17 |
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Category by category
Coding Qwen1.5-14B leads
Llama 2-7B: 29.2 (#307), Qwen1.5-14B: 33.1 (#263)
| Benchmark | Llama 2-7B | Qwen1.5-14B |
|---|---|---|
| LMArena Coding | 1002 | 1138 |
Reasoning Qwen1.5-14B leads
Llama 2-7B: 15.7 (#312), Qwen1.5-14B: 21.4 (#223)
| Benchmark | Llama 2-7B | Qwen1.5-14B |
|---|---|---|
| LMArena Hard Prompts | 1009 | 1113 |
| Chess Puzzles | 0% | — |
| BIG-Bench Hard | 39.2% | — |
| Epoch Capabilities Index | 99.06 | — |
| HellaSwag | 77.2% | — |
| LAMBADA | 73.3% | — |
| PIQA | 78.8% | — |
| WinoGrande | 69.2% | — |
Math Qwen1.5-14B leads
Llama 2-7B: 30.7 (#233), Qwen1.5-14B: 32.4 (#215)
| Benchmark | Llama 2-7B | Qwen1.5-14B |
|---|---|---|
| LMArena Math | 1042 | 1125 |
| GSM8K | 16.7% | — |
Knowledge Qwen1.5-14B leads
Llama 2-7B: 28.2 (#248), Qwen1.5-14B: 29.8 (#232)
| Benchmark | Llama 2-7B | Qwen1.5-14B |
|---|---|---|
| LMArena Expert | 1036 | 1094 |
| MMLU | 45.8% | 68.6% |
| ARC (AI2) Challenge | 45.9% | — |
| BoolQ | 77.9% | — |
| OpenBookQA | 58.6% | — |
| TriviaQA | 73.7% | — |
Multimodal Not comparable
Llama 2-7B: —, Qwen1.5-14B: —
| Benchmark | Llama 2-7B | Qwen1.5-14B |
|---|---|---|
| ScienceQA | 43.1% | — |
Multilingual Qwen1.5-14B leads
Llama 2-7B: 23.8 (#293), Qwen1.5-14B: 30.7 (#262)
| Benchmark | Llama 2-7B | Qwen1.5-14B |
|---|---|---|
| LMArena Non-English | 973 | 1095 |
| LMArena Chinese | 973 | 1147 |
| LMArena French | 970 | 1116 |
| LMArena German | 978 | 1043 |
| LMArena Russian | 995 | 1046 |
| LMArena Spanish | 1007 | 1085 |
| LMArena Japanese | — | 1019 |
Instruction Following Qwen1.5-14B leads
Llama 2-7B: 50.8 (#298), Qwen1.5-14B: 56.8 (#271)
| Benchmark | Llama 2-7B | Qwen1.5-14B |
|---|---|---|
| LMArena Instruction Following | 1006 | 1102 |
Long Context Qwen1.5-14B leads
Llama 2-7B: 30.4 (#287), Qwen1.5-14B: 33.7 (#257)
| Benchmark | Llama 2-7B | Qwen1.5-14B |
|---|---|---|
| LMArena Longer Query | 999 | 1113 |
Writing & Preference Qwen1.5-14B leads
Llama 2-7B: 28.0 (#298), Qwen1.5-14B: 33.6 (#276)
| Benchmark | Llama 2-7B | Qwen1.5-14B |
|---|---|---|
| LMArena Text | 1053 | 1128 |
| LMArena Creative Writing | 1033 | 1091 |
| LMArena Multi-Turn | 1029 | 1110 |
Frequently asked questions
Is Llama 2-7B better than Qwen1.5-14B?
Qwen1.5-14B is the stronger model overall, scoring 32.7 to 29.1 on the Noometry Index.
Is Llama 2-7B or Qwen1.5-14B better for coding?
Qwen1.5-14B scores higher on coding benchmarks: 33.1 versus 29.2 in the Noometry coding category.
How many benchmarks do Llama 2-7B and Qwen1.5-14B share?
16 benchmarks have published results for both models. Llama 2-7B has 29 scored results on Noometry and Qwen1.5-14B has 17.