Model comparison
Gemma 7B vs Qwen1.5-14B
Qwen1.5-14B is the stronger model overall, scoring 32.7 to 30.0 on the Noometry Index.
Last verified . 14 shared benchmarks.
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Alibaba (Qwen)Summary
- They share 14 benchmarks with published results for both. Gemma 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 writing & preference, where Qwen1.5-14B leads 33.6 to 27.1.
Side by side
| Gemma 7B | Qwen1.5-14B | |
|---|---|---|
| Provider | Alibaba (Qwen) | |
| Noometry Index | 30.0 | 32.7 |
| Released | 2024-02-21 | 2024-02-04 |
| Weights | Open | Open |
| Context window | — | — |
| Max output | — | — |
| Input $ / M tokens | — | — |
| Output $ / M tokens | — | — |
| Results tracked | 27 | 17 |
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Category by category
Coding Qwen1.5-14B leads
Gemma 7B: 30.5 (#294), Qwen1.5-14B: 33.1 (#263)
| Benchmark | Gemma 7B | Qwen1.5-14B |
|---|---|---|
| LMArena Coding | 1048 | 1138 |
| HumanEval+ | 28.7% | — |
| MBPP+ | 43.4% | — |
Reasoning Qwen1.5-14B leads
Gemma 7B: 19.9 (#249), Qwen1.5-14B: 21.4 (#223)
| Benchmark | Gemma 7B | Qwen1.5-14B |
|---|---|---|
| LMArena Hard Prompts | 1042 | 1113 |
| Adversarial NLI | 48.7% | — |
| BIG-Bench Hard | 55.1% | — |
| Epoch Capabilities Index | 111.99 | — |
| HellaSwag | 82.2% | — |
| PIQA | 81.2% | — |
| WinoGrande | 79% | — |
Math Qwen1.5-14B leads
Gemma 7B: 31.2 (#228), Qwen1.5-14B: 32.4 (#215)
| Benchmark | Gemma 7B | Qwen1.5-14B |
|---|---|---|
| LMArena Math | 1066 | 1125 |
| GSM8K | 46.4% | — |
Knowledge Qwen1.5-14B leads
Gemma 7B: 27.3 (#252), Qwen1.5-14B: 29.8 (#232)
| Benchmark | Gemma 7B | Qwen1.5-14B |
|---|---|---|
| LMArena Expert | 1001 | 1094 |
| MMLU | 66.1% | 68.6% |
| ARC (AI2) Challenge | 78.3% | — |
| BoolQ | 83.2% | — |
| OpenBookQA | 78.6% | — |
| TriviaQA | 72.3% | — |
Multilingual Qwen1.5-14B leads
Gemma 7B: 25.1 (#287), Qwen1.5-14B: 30.7 (#262)
| Benchmark | Gemma 7B | Qwen1.5-14B |
|---|---|---|
| LMArena Non-English | 999 | 1095 |
| LMArena Chinese | 1035 | 1147 |
| LMArena French | 1025 | 1116 |
| LMArena Russian | 993 | 1046 |
| LMArena German | — | 1043 |
| LMArena Japanese | — | 1019 |
| LMArena Spanish | — | 1085 |
Instruction Following Qwen1.5-14B leads
Gemma 7B: 51.5 (#295), Qwen1.5-14B: 56.8 (#271)
| Benchmark | Gemma 7B | Qwen1.5-14B |
|---|---|---|
| LMArena Instruction Following | 1017 | 1102 |
Long Context Qwen1.5-14B leads
Gemma 7B: 31.1 (#282), Qwen1.5-14B: 33.7 (#257)
| Benchmark | Gemma 7B | Qwen1.5-14B |
|---|---|---|
| LMArena Longer Query | 1022 | 1113 |
Writing & Preference Qwen1.5-14B leads
Gemma 7B: 27.1 (#302), Qwen1.5-14B: 33.6 (#276)
| Benchmark | Gemma 7B | Qwen1.5-14B |
|---|---|---|
| LMArena Text | 1056 | 1128 |
| LMArena Creative Writing | 1024 | 1091 |
| LMArena Multi-Turn | 963 | 1110 |
Frequently asked questions
Is Gemma 7B better than Qwen1.5-14B?
Qwen1.5-14B is the stronger model overall, scoring 32.7 to 30.0 on the Noometry Index.
Is Gemma 7B or Qwen1.5-14B better for coding?
Qwen1.5-14B scores higher on coding benchmarks: 33.1 versus 30.5 in the Noometry coding category.
How many benchmarks do Gemma 7B and Qwen1.5-14B share?
14 benchmarks have published results for both models. Gemma 7B has 27 scored results on Noometry and Qwen1.5-14B has 17.