Model comparison
Gemma 3n E4b IT vs Qwen1.5-110B
Gemma 3n E4b IT is the stronger model overall, scoring 36.7 to 33.6 on the Noometry Index.
Last verified . 17 shared benchmarks.
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Alibaba (Qwen)Summary
- They share 17 benchmarks with published results for both. Gemma 3n E4b IT scores higher in 7 categories and Qwen1.5-110B in 1 category; 8 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Gemma 3n E4b IT leads 50.3 to 38.1.
Side by side
| Gemma 3n E4b IT | Qwen1.5-110B | |
|---|---|---|
| Provider | Alibaba (Qwen) | |
| Noometry Index | 36.7 | 33.6 |
| Released | 2025-05-20 | 2024-04-25 |
| Weights | Open | Open |
| Context window | 33K | — |
| Max output | 33K | — |
| Input $ / M tokens | $0.06 | — |
| Output $ / M tokens | $0.12 | — |
| Results tracked | 18 | 20 |
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Category by category
Coding Gemma 3n E4b IT leads
Gemma 3n E4b IT: 36.4 (#193), Qwen1.5-110B: 32.4 (#260)
| Benchmark | Gemma 3n E4b IT | Qwen1.5-110B |
|---|---|---|
| LMArena Coding | 1269 | 1184 |
| BigCodeBench Instruct | — | 35% |
| BigCodeBench Complete | — | 44.4% |
Reasoning Qwen1.5-110B leads
Gemma 3n E4b IT: 19.2 (#239), Qwen1.5-110B: 21.7 (#192)
| Benchmark | Gemma 3n E4b IT | Qwen1.5-110B |
|---|---|---|
| LMArena Hard Prompts | 1284 | 1168 |
| Kagi LLM Benchmark | 31.5% | — |
| ForecastBench | — | 57.7 |
Math Gemma 3n E4b IT leads
Gemma 3n E4b IT: 32.5 (#186), Qwen1.5-110B: 31.1 (#199)
| Benchmark | Gemma 3n E4b IT | Qwen1.5-110B |
|---|---|---|
| LMArena Math | 1251 | 1185 |
Knowledge Gemma 3n E4b IT leads
Gemma 3n E4b IT: 33.6 (#193), Qwen1.5-110B: 30.7 (#217)
| Benchmark | Gemma 3n E4b IT | Qwen1.5-110B |
|---|---|---|
| LMArena Expert | 1245 | 1144 |
Multilingual Gemma 3n E4b IT leads
Gemma 3n E4b IT: 43.5 (#179), Qwen1.5-110B: 33.8 (#245)
| Benchmark | Gemma 3n E4b IT | Qwen1.5-110B |
|---|---|---|
| LMArena Non-English | 1285 | 1142 |
| LMArena Chinese | 1310 | 1206 |
| LMArena French | 1330 | 1150 |
| LMArena German | 1312 | 1123 |
| LMArena Japanese | 1274 | 1074 |
| LMArena Korean | 1259 | 1044 |
| LMArena Russian | 1288 | 1118 |
| LMArena Spanish | 1305 | 1141 |
Instruction Following Gemma 3n E4b IT leads
Gemma 3n E4b IT: 66.3 (#205), Qwen1.5-110B: 60.6 (#247)
| Benchmark | Gemma 3n E4b IT | Qwen1.5-110B |
|---|---|---|
| LMArena Instruction Following | 1255 | 1158 |
Long Context Gemma 3n E4b IT leads
Gemma 3n E4b IT: 38.8 (#185), Qwen1.5-110B: 35.0 (#237)
| Benchmark | Gemma 3n E4b IT | Qwen1.5-110B |
|---|---|---|
| LMArena Longer Query | 1277 | 1157 |
Writing & Preference Gemma 3n E4b IT leads
Gemma 3n E4b IT: 50.3 (#181), Qwen1.5-110B: 38.1 (#250)
| Benchmark | Gemma 3n E4b IT | Qwen1.5-110B |
|---|---|---|
| LMArena Text | 1306 | 1175 |
| LMArena Creative Writing | 1287 | 1148 |
| LMArena Multi-Turn | 1276 | 1160 |
Frequently asked questions
Is Gemma 3n E4b IT better than Qwen1.5-110B?
Gemma 3n E4b IT is the stronger model overall, scoring 36.7 to 33.6 on the Noometry Index.
Is Gemma 3n E4b IT or Qwen1.5-110B better for coding?
Gemma 3n E4b IT scores higher on coding benchmarks: 36.4 versus 32.4 in the Noometry coding category.
How many benchmarks do Gemma 3n E4b IT and Qwen1.5-110B share?
17 benchmarks have published results for both models. Gemma 3n E4b IT has 18 scored results on Noometry and Qwen1.5-110B has 20.