Model comparison
Gemma 3n E4b IT vs Qwen3-VL 235B-A22B
Qwen3-VL 235B-A22B is the stronger model overall, scoring 43.2 to 37.3 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 0 categories and Qwen3-VL 235B-A22B in 8 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Qwen3-VL 235B-A22B leads 60.2 to 50.1.
Side by side
| Gemma 3n E4b IT | Qwen3-VL 235B-A22B | |
|---|---|---|
| Provider | Alibaba (Qwen) | |
| Noometry Index | 37.3 | 43.2 |
| Released | — | 2025-04 |
| Weights | Open | Open |
| Context window | — | 131K |
| Max output | — | 33K |
| Input $ / M tokens | — | $0.70 |
| Output $ / M tokens | — | $2.80 |
| Results tracked | 18 | 18 |
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Category by category
Coding Qwen3-VL 235B-A22B leads
Gemma 3n E4b IT: 37.0 (#198), Qwen3-VL 235B-A22B: 42.4 (#100)
| Benchmark | Gemma 3n E4b IT | Qwen3-VL 235B-A22B |
|---|---|---|
| LMArena Coding | 1268 | 1439 |
Reasoning Qwen3-VL 235B-A22B leads
Gemma 3n E4b IT: 19.9 (#247), Qwen3-VL 235B-A22B: 29.3 (#92)
| Benchmark | Gemma 3n E4b IT | Qwen3-VL 235B-A22B |
|---|---|---|
| LMArena Hard Prompts | 1284 | 1428 |
| Kagi LLM Benchmark | 31.5% | — |
Math Qwen3-VL 235B-A22B leads
Gemma 3n E4b IT: 35.1 (#188), Qwen3-VL 235B-A22B: 39.0 (#118)
| Benchmark | Gemma 3n E4b IT | Qwen3-VL 235B-A22B |
|---|---|---|
| LMArena Math | 1251 | 1426 |
Knowledge Qwen3-VL 235B-A22B leads
Gemma 3n E4b IT: 34.2 (#198), Qwen3-VL 235B-A22B: 40.3 (#121)
| Benchmark | Gemma 3n E4b IT | Qwen3-VL 235B-A22B |
|---|---|---|
| LMArena Expert | 1246 | 1442 |
Multimodal Not comparable
Gemma 3n E4b IT: —, Qwen3-VL 235B-A22B: 39.8 (#55)
| Benchmark | Gemma 3n E4b IT | Qwen3-VL 235B-A22B |
|---|---|---|
| LMArena Vision | — | 1247 |
Multilingual Qwen3-VL 235B-A22B leads
Gemma 3n E4b IT: 43.4 (#183), Qwen3-VL 235B-A22B: 51.9 (#97)
| Benchmark | Gemma 3n E4b IT | Qwen3-VL 235B-A22B |
|---|---|---|
| LMArena Non-English | 1285 | 1405 |
| LMArena Chinese | 1309 | 1463 |
| LMArena French | 1330 | 1452 |
| LMArena German | 1311 | 1424 |
| LMArena Japanese | 1272 | 1385 |
| LMArena Korean | 1259 | 1394 |
| LMArena Russian | 1288 | 1408 |
| LMArena Spanish | 1305 | 1428 |
Instruction Following Qwen3-VL 235B-A22B leads
Gemma 3n E4b IT: 66.1 (#210), Qwen3-VL 235B-A22B: 74.2 (#101)
| Benchmark | Gemma 3n E4b IT | Qwen3-VL 235B-A22B |
|---|---|---|
| LMArena Instruction Following | 1255 | 1406 |
Long Context Qwen3-VL 235B-A22B leads
Gemma 3n E4b IT: 38.7 (#191), Qwen3-VL 235B-A22B: 43.4 (#98)
| Benchmark | Gemma 3n E4b IT | Qwen3-VL 235B-A22B |
|---|---|---|
| LMArena Longer Query | 1276 | 1420 |
Writing & Preference Qwen3-VL 235B-A22B leads
Gemma 3n E4b IT: 50.1 (#186), Qwen3-VL 235B-A22B: 60.2 (#99)
| Benchmark | Gemma 3n E4b IT | Qwen3-VL 235B-A22B |
|---|---|---|
| LMArena Text | 1306 | 1420 |
| LMArena Creative Writing | 1287 | 1366 |
| LMArena Multi-Turn | 1276 | 1428 |
Frequently asked questions
Is Gemma 3n E4b IT better than Qwen3-VL 235B-A22B?
Qwen3-VL 235B-A22B is the stronger model overall, scoring 43.2 to 37.3 on the Noometry Index.
Is Gemma 3n E4b IT or Qwen3-VL 235B-A22B better for coding?
Qwen3-VL 235B-A22B scores higher on coding benchmarks: 42.4 versus 37.0 in the Noometry coding category.
How many benchmarks do Gemma 3n E4b IT and Qwen3-VL 235B-A22B share?
17 benchmarks have published results for both models. Gemma 3n E4b IT has 18 scored results on Noometry and Qwen3-VL 235B-A22B has 18.