Model comparison
Gemma 3n E4b IT vs QwQ-32B
QwQ-32B is the stronger model overall, scoring 39.8 to 37.3 on the Noometry Index.
Last verified . 17 shared benchmarks.
Google
Alibaba (Qwen)Summary
- They share 17 benchmarks with published results for both. Gemma 3n E4b IT scores higher in 1 category and QwQ-32B in 7 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in long context, where QwQ-32B leads 49.0 to 38.7.
Side by side
| Gemma 3n E4b IT | QwQ-32B | |
|---|---|---|
| Provider | Alibaba (Qwen) | |
| Noometry Index | 37.3 | 39.8 |
| Released | — | 2024-11-28 |
| Weights | Open | Open |
| Context window | — | — |
| Max output | — | — |
| Input $ / M tokens | — | — |
| Output $ / M tokens | — | — |
| Results tracked | 18 | 36 |
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Category by category
Coding Gemma 3n E4b IT leads
Gemma 3n E4b IT: 37.0 (#198), QwQ-32B: 35.4 (#226)
| Benchmark | Gemma 3n E4b IT | QwQ-32B |
|---|---|---|
| LMArena Coding | 1268 | 1333 |
| Aider Polyglot | — | 20.9% |
| BigCodeBench Instruct | — | 44.6% |
| LiveBench Coding | — | 72.2% |
| BigCodeBench Complete | — | 54.4% |
Reasoning QwQ-32B leads
Gemma 3n E4b IT: 19.9 (#247), QwQ-32B: 23.7 (#174)
| Benchmark | Gemma 3n E4b IT | QwQ-32B |
|---|---|---|
| LMArena Hard Prompts | 1284 | 1325 |
| Kagi LLM Benchmark | 31.5% | — |
| Chess Puzzles | — | 5% |
| LiveBench Reasoning | — | 83.5% |
| LiveBench Data Analysis | — | 65% |
| Epoch Capabilities Index | — | 137.6 |
| ForecastBench | — | 58.3 |
| LiveBench | — | 72% |
Math QwQ-32B leads
Gemma 3n E4b IT: 35.1 (#188), QwQ-32B: 38.0 (#143)
| Benchmark | Gemma 3n E4b IT | QwQ-32B |
|---|---|---|
| LMArena Math | 1251 | 1359 |
| OTIS Mock AIME 2024-2025 | — | 59.2% |
| LiveBench Math | — | 77.8% |
Knowledge QwQ-32B leads
Gemma 3n E4b IT: 34.2 (#198), QwQ-32B: 37.2 (#158)
| Benchmark | Gemma 3n E4b IT | QwQ-32B |
|---|---|---|
| LMArena Expert | 1246 | 1324 |
| GPQA Diamond | — | 65.3% |
| Confabulations | — | 15.6% |
Multilingual QwQ-32B leads
Gemma 3n E4b IT: 43.4 (#183), QwQ-32B: 44.8 (#176)
| Benchmark | Gemma 3n E4b IT | QwQ-32B |
|---|---|---|
| LMArena Non-English | 1285 | 1305 |
| LMArena Chinese | 1309 | 1378 |
| LMArena French | 1330 | 1336 |
| LMArena German | 1311 | 1313 |
| LMArena Japanese | 1272 | 1262 |
| LMArena Korean | 1259 | 1279 |
| LMArena Russian | 1288 | 1297 |
| LMArena Spanish | 1305 | 1354 |
Instruction Following QwQ-32B leads
Gemma 3n E4b IT: 66.1 (#210), QwQ-32B: 72.6 (#137)
| Benchmark | Gemma 3n E4b IT | QwQ-32B |
|---|---|---|
| LMArena Instruction Following | 1255 | 1297 |
| LiveBench Instruction Following | — | 81.8% |
Long Context QwQ-32B leads
Gemma 3n E4b IT: 38.7 (#191), QwQ-32B: 49.0 (#11)
| Benchmark | Gemma 3n E4b IT | QwQ-32B |
|---|---|---|
| LMArena Longer Query | 1276 | 1308 |
| Fiction.LiveBench | — | 83.3% |
Writing & Preference Too close to call
Gemma 3n E4b IT: 50.1 (#186), QwQ-32B: 50.6 (#180)
| Benchmark | Gemma 3n E4b IT | QwQ-32B |
|---|---|---|
| LMArena Text | 1306 | 1329 |
| LMArena Creative Writing | 1287 | 1288 |
| LMArena Multi-Turn | 1276 | 1314 |
| Short-Story Creative Writing | — | 80.2% |
| EQ-Bench Creative Writing | — | 1257 |
| LiveBench Language | — | 51.4% |
Frequently asked questions
Is Gemma 3n E4b IT better than QwQ-32B?
QwQ-32B is the stronger model overall, scoring 39.8 to 37.3 on the Noometry Index.
Is Gemma 3n E4b IT or QwQ-32B better for coding?
Gemma 3n E4b IT scores higher on coding benchmarks: 37.0 versus 35.4 in the Noometry coding category.
How many benchmarks do Gemma 3n E4b IT and QwQ-32B share?
17 benchmarks have published results for both models. Gemma 3n E4b IT has 18 scored results on Noometry and QwQ-32B has 36.