Model comparison
Gemma 3n E4b IT vs Qwen3 8B
Gemma 3n E4b IT is the stronger model overall, scoring 37.3 to 33.7 on the Noometry Index.
Last verified . 0 shared benchmarks.
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Alibaba (Qwen)Summary
- The widest gap is in reasoning, where Gemma 3n E4b IT leads 19.9 to 16.6.
Side by side
| Gemma 3n E4b IT | Qwen3 8B | |
|---|---|---|
| Provider | Alibaba (Qwen) | |
| Noometry Index | 37.3 | 33.7 |
| Released | — | 2025-04 |
| Weights | Open | Open |
| Context window | — | 131K |
| Max output | — | 8K |
| Input $ / M tokens | — | $0.18 |
| Output $ / M tokens | — | $0.70 |
| Results tracked | 18 | 11 |
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Category by category
Coding Gemma 3n E4b IT leads
Gemma 3n E4b IT: 37.0 (#198), Qwen3 8B: 34.0 (#248)
| Benchmark | Gemma 3n E4b IT | Qwen3 8B |
|---|---|---|
| SciCode | — | 22.6% |
| LMArena Coding | 1268 | — |
Agentic & Tool Use Not comparable
Gemma 3n E4b IT: —, Qwen3 8B: 30.2 (#78)
| Benchmark | Gemma 3n E4b IT | Qwen3 8B |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 42.6% |
Reasoning Gemma 3n E4b IT leads
Gemma 3n E4b IT: 19.9 (#247), Qwen3 8B: 16.6 (#303)
| Benchmark | Gemma 3n E4b IT | Qwen3 8B |
|---|---|---|
| Kagi LLM Benchmark | 31.5% | — |
| CritPt | — | 0% |
| Chess Puzzles | — | 5% |
| LMArena Hard Prompts | 1284 | — |
| DTBench | — | 59.7% |
| LMCA | — | 8.8% |
| Epoch Capabilities Index | — | 136.17 |
Math Too close to call
Gemma 3n E4b IT: 35.1 (#188), Qwen3 8B: 34.9 (#191)
| Benchmark | Gemma 3n E4b IT | Qwen3 8B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | — | 56.1% |
| LMArena Math | 1251 | — |
Knowledge Qwen3 8B leads
Gemma 3n E4b IT: 34.2 (#198), Qwen3 8B: 36.1 (#173)
| Benchmark | Gemma 3n E4b IT | Qwen3 8B |
|---|---|---|
| GPQA Diamond | — | 56.8% |
| Vectara Hallucination Rate | — | 4.8% |
| LMArena Expert | 1246 | — |
Multilingual Not comparable
Gemma 3n E4b IT: 43.4 (#183), Qwen3 8B: —
| Benchmark | Gemma 3n E4b IT | Qwen3 8B |
|---|---|---|
| LMArena Non-English | 1285 | — |
| LMArena Chinese | 1309 | — |
| LMArena French | 1330 | — |
| LMArena German | 1311 | — |
| LMArena Japanese | 1272 | — |
| LMArena Korean | 1259 | — |
| LMArena Russian | 1288 | — |
| LMArena Spanish | 1305 | — |
Instruction Following Not comparable
Gemma 3n E4b IT: 66.1 (#210), Qwen3 8B: —
| Benchmark | Gemma 3n E4b IT | Qwen3 8B |
|---|---|---|
| LMArena Instruction Following | 1255 | — |
Long Context Too close to call
Gemma 3n E4b IT: 38.7 (#191), Qwen3 8B: 37.9 (#210)
| Benchmark | Gemma 3n E4b IT | Qwen3 8B |
|---|---|---|
| Fiction.LiveBench | — | 62.1% |
| LMArena Longer Query | 1276 | — |
Writing & Preference Not comparable
Gemma 3n E4b IT: 50.1 (#186), Qwen3 8B: —
| Benchmark | Gemma 3n E4b IT | Qwen3 8B |
|---|---|---|
| LMArena Text | 1306 | — |
| LMArena Creative Writing | 1287 | — |
| LMArena Multi-Turn | 1276 | — |
Frequently asked questions
Is Gemma 3n E4b IT better than Qwen3 8B?
Gemma 3n E4b IT is the stronger model overall, scoring 37.3 to 33.7 on the Noometry Index.
Is Gemma 3n E4b IT or Qwen3 8B better for coding?
Gemma 3n E4b IT scores higher on coding benchmarks: 37.0 versus 34.0 in the Noometry coding category.
How many benchmarks do Gemma 3n E4b IT and Qwen3 8B share?
0 benchmarks have published results for both models. Gemma 3n E4b IT has 18 scored results on Noometry and Qwen3 8B has 11.