Model comparison
Gemma 3n E4b IT vs Qwen3 32B
Qwen3 32B is the stronger model overall, scoring 39.2 to 37.3 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 3n E4b IT scores higher in 0 categories and Qwen3 32B in 8 categories; 6 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Qwen3 32B leads 40.0 to 34.2.
- The biggest single-benchmark swing is Kagi LLM Benchmark: 31.5% for Gemma 3n E4b IT and 54.9% for Qwen3 32B.
Side by side
| Gemma 3n E4b IT | Qwen3 32B | |
|---|---|---|
| Provider | Alibaba (Qwen) | |
| Noometry Index | 37.3 | 39.2 |
| Released | — | 2025-04 |
| Weights | Open | Open |
| Context window | — | 131K |
| Max output | — | 16K |
| Input $ / M tokens | — | $0.70 |
| Output $ / M tokens | — | $2.80 |
| Results tracked | 18 | 26 |
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Category by category
Coding Too close to call
Gemma 3n E4b IT: 37.0 (#198), Qwen3 32B: 37.7 (#190)
| Benchmark | Gemma 3n E4b IT | Qwen3 32B |
|---|---|---|
| LMArena Coding | 1268 | 1358 |
| Aider Polyglot | — | 40% |
| SciCode | — | 35.4% |
Agentic & Tool Use Not comparable
Gemma 3n E4b IT: —, Qwen3 32B: 32.6 (#62)
| Benchmark | Gemma 3n E4b IT | Qwen3 32B |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 48.7% |
Reasoning Too close to call
Gemma 3n E4b IT: 19.9 (#247), Qwen3 32B: 20.2 (#241)
| Benchmark | Gemma 3n E4b IT | Qwen3 32B |
|---|---|---|
| Kagi LLM Benchmark | 31.5% | 54.9% |
| LMArena Hard Prompts | 1284 | 1334 |
| CritPt | — | 0.3% |
| Chess Puzzles | — | 5% |
| DTBench | — | 67.5% |
| LMCA | — | 17.3% |
| Epoch Capabilities Index | — | 138.51 |
Math Qwen3 32B leads
Gemma 3n E4b IT: 35.1 (#188), Qwen3 32B: 39.7 (#99)
| Benchmark | Gemma 3n E4b IT | Qwen3 32B |
|---|---|---|
| LMArena Math | 1251 | 1399 |
| OTIS Mock AIME 2024-2025 | — | 66.9% |
Knowledge Qwen3 32B leads
Gemma 3n E4b IT: 34.2 (#198), Qwen3 32B: 40.0 (#125)
| Benchmark | Gemma 3n E4b IT | Qwen3 32B |
|---|---|---|
| LMArena Expert | 1246 | 1362 |
| GPQA Diamond | — | 65.7% |
| Vectara Hallucination Rate | — | 5.9% |
Multilingual Qwen3 32B leads
Gemma 3n E4b IT: 43.4 (#183), Qwen3 32B: 45.6 (#167)
| Benchmark | Gemma 3n E4b IT | Qwen3 32B |
|---|---|---|
| LMArena Non-English | 1285 | 1317 |
| LMArena Chinese | 1309 | 1357 |
| LMArena German | 1311 | 1341 |
| LMArena Russian | 1288 | 1311 |
| LMArena French | 1330 | — |
| LMArena Japanese | 1272 | — |
| LMArena Korean | 1259 | — |
| LMArena Spanish | 1305 | — |
Instruction Following Qwen3 32B leads
Gemma 3n E4b IT: 66.1 (#210), Qwen3 32B: 68.9 (#179)
| Benchmark | Gemma 3n E4b IT | Qwen3 32B |
|---|---|---|
| LMArena Instruction Following | 1255 | 1305 |
Long Context Qwen3 32B leads
Gemma 3n E4b IT: 38.7 (#191), Qwen3 32B: 43.8 (#87)
| Benchmark | Gemma 3n E4b IT | Qwen3 32B |
|---|---|---|
| LMArena Longer Query | 1276 | 1327 |
| Fiction.LiveBench | — | 74.2% |
Writing & Preference Qwen3 32B leads
Gemma 3n E4b IT: 50.1 (#186), Qwen3 32B: 52.9 (#163)
| Benchmark | Gemma 3n E4b IT | Qwen3 32B |
|---|---|---|
| LMArena Text | 1306 | 1340 |
| LMArena Creative Writing | 1287 | 1297 |
| LMArena Multi-Turn | 1276 | 1331 |
Frequently asked questions
Is Gemma 3n E4b IT better than Qwen3 32B?
Qwen3 32B is the stronger model overall, scoring 39.2 to 37.3 on the Noometry Index.
Is Gemma 3n E4b IT or Qwen3 32B better for coding?
They score almost the same on coding (37.0 vs 37.7); test both on your own repository before choosing.
How many benchmarks do Gemma 3n E4b IT and Qwen3 32B share?
14 benchmarks have published results for both models. Gemma 3n E4b IT has 18 scored results on Noometry and Qwen3 32B has 26.