Model comparison
Gemma 3n E4b IT vs Qwen2.5-Coder-32B
Gemma 3n E4b IT is the stronger model overall, scoring 37.3 to 33.4 on the Noometry Index.
Last verified . 12 shared benchmarks.
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Alibaba (Qwen)Summary
- They share 12 benchmarks with published results for both. Gemma 3n E4b IT scores higher in 7 categories and Qwen2.5-Coder-32B in 1 category; 6 gaps are clear of the uncertainty.
- The widest gap is in coding, where Gemma 3n E4b IT leads 37.0 to 22.6.
Side by side
| Gemma 3n E4b IT | Qwen2.5-Coder-32B | |
|---|---|---|
| Provider | Alibaba (Qwen) | |
| Noometry Index | 37.3 | 33.4 |
| Released | — | 2024-09-18 |
| Weights | Open | Open |
| Context window | — | 33K |
| Max output | — | 29K |
| Input $ / M tokens | — | $0.66 |
| Output $ / M tokens | — | $1 |
| Results tracked | 18 | 31 |
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Category by category
Coding Gemma 3n E4b IT leads
Gemma 3n E4b IT: 37.0 (#198), Qwen2.5-Coder-32B: 22.6 (#333)
| Benchmark | Gemma 3n E4b IT | Qwen2.5-Coder-32B |
|---|---|---|
| LMArena Coding | 1268 | 1276 |
| SWE-bench Verified (bash only) | — | 9% |
| Aider Polyglot | — | 16.4% |
| BigCodeBench Instruct | — | 49% |
| LiveBench Coding | — | 56.9% |
| BigCodeBench Complete | — | 58% |
| HumanEval+ | — | 87.2% |
| MBPP+ | — | 77% |
Reasoning Qwen2.5-Coder-32B leads
Gemma 3n E4b IT: 19.9 (#247), Qwen2.5-Coder-32B: 21.2 (#225)
| Benchmark | Gemma 3n E4b IT | Qwen2.5-Coder-32B |
|---|---|---|
| LMArena Hard Prompts | 1284 | 1251 |
| Kagi LLM Benchmark | 31.5% | — |
| LiveBench Reasoning | — | 42.1% |
| LiveBench Data Analysis | — | 49.9% |
| Epoch Capabilities Index | — | 119.49 |
| HellaSwag | — | 83% |
| LiveBench | — | 46.2% |
| WinoGrande | — | 80.8% |
Math Gemma 3n E4b IT leads
Gemma 3n E4b IT: 35.1 (#188), Qwen2.5-Coder-32B: 33.3 (#204)
| Benchmark | Gemma 3n E4b IT | Qwen2.5-Coder-32B |
|---|---|---|
| LMArena Math | 1251 | 1251 |
| LiveBench Math | — | 46.6% |
| GSM8K | — | 93% |
Knowledge Too close to call
Gemma 3n E4b IT: 34.2 (#198), Qwen2.5-Coder-32B: 33.4 (#203)
| Benchmark | Gemma 3n E4b IT | Qwen2.5-Coder-32B |
|---|---|---|
| LMArena Expert | 1246 | 1221 |
| ARC (AI2) Challenge | — | 70.5% |
| MMLU | — | 79.1% |
Multilingual Gemma 3n E4b IT leads
Gemma 3n E4b IT: 43.4 (#183), Qwen2.5-Coder-32B: 37.8 (#235)
| Benchmark | Gemma 3n E4b IT | Qwen2.5-Coder-32B |
|---|---|---|
| LMArena Non-English | 1285 | 1205 |
| LMArena Chinese | 1309 | 1222 |
| LMArena Russian | 1288 | 1228 |
| LMArena French | 1330 | — |
| LMArena German | 1311 | — |
| LMArena Japanese | 1272 | — |
| LMArena Korean | 1259 | — |
| LMArena Spanish | 1305 | — |
Instruction Following Gemma 3n E4b IT leads
Gemma 3n E4b IT: 66.1 (#210), Qwen2.5-Coder-32B: 61.4 (#245)
| Benchmark | Gemma 3n E4b IT | Qwen2.5-Coder-32B |
|---|---|---|
| LMArena Instruction Following | 1255 | 1223 |
| LiveBench Instruction Following | — | 58.7% |
Long Context Too close to call
Gemma 3n E4b IT: 38.7 (#191), Qwen2.5-Coder-32B: 38.0 (#208)
| Benchmark | Gemma 3n E4b IT | Qwen2.5-Coder-32B |
|---|---|---|
| LMArena Longer Query | 1276 | 1251 |
Writing & Preference Gemma 3n E4b IT leads
Gemma 3n E4b IT: 50.1 (#186), Qwen2.5-Coder-32B: 41.6 (#240)
| Benchmark | Gemma 3n E4b IT | Qwen2.5-Coder-32B |
|---|---|---|
| LMArena Text | 1306 | 1230 |
| LMArena Creative Writing | 1287 | 1174 |
| LMArena Multi-Turn | 1276 | 1222 |
| LiveBench Language | — | 23.3% |
Frequently asked questions
Is Gemma 3n E4b IT better than Qwen2.5-Coder-32B?
Gemma 3n E4b IT is the stronger model overall, scoring 37.3 to 33.4 on the Noometry Index.
Is Gemma 3n E4b IT or Qwen2.5-Coder-32B better for coding?
Gemma 3n E4b IT scores higher on coding benchmarks: 37.0 versus 22.6 in the Noometry coding category.
How many benchmarks do Gemma 3n E4b IT and Qwen2.5-Coder-32B share?
12 benchmarks have published results for both models. Gemma 3n E4b IT has 18 scored results on Noometry and Qwen2.5-Coder-32B has 31.