Model comparison
Gemma 3n E4b IT vs Qwen3.5-9B
Gemma 3n E4b IT is the stronger model overall, scoring 36.7 to 33.3 on the Noometry Index.
Last verified . 0 shared benchmarks.
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Alibaba (Qwen)Summary
- The widest gap is in knowledge, where Qwen3.5-9B leads 46.0 to 33.6.
- Gemma 3n E4b IT is cheaper at $0.06 / $0.12 per million input/output tokens, against $0.10 / $0.15 for Qwen3.5-9B.
- Qwen3.5-9B accepts more context: 262K tokens versus 33K.
Side by side
| Gemma 3n E4b IT | Qwen3.5-9B | |
|---|---|---|
| Provider | Alibaba (Qwen) | |
| Noometry Index | 36.7 | 33.3 |
| Released | 2025-05-20 | 2026-02-23 |
| Weights | Open | Open |
| Context window | 33K | 262K |
| Max output | 33K | 66K |
| Input $ / M tokens | $0.06 | $0.10 |
| Output $ / M tokens | $0.12 | $0.15 |
| Results tracked | 18 | 10 |
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Category by category
Coding Gemma 3n E4b IT leads
Gemma 3n E4b IT: 36.4 (#193), Qwen3.5-9B: 35.3 (#213)
| Benchmark | Gemma 3n E4b IT | Qwen3.5-9B |
|---|---|---|
| SciCode | — | 27.5% |
| LMArena Coding | 1269 | — |
Agentic & Tool Use Not comparable
Gemma 3n E4b IT: —, Qwen3.5-9B: 14.4 (#143)
| Benchmark | Gemma 3n E4b IT | Qwen3.5-9B |
|---|---|---|
| Terminal-Bench | — | 9.2% |
Reasoning Qwen3.5-9B leads
Gemma 3n E4b IT: 19.2 (#239), Qwen3.5-9B: 22.5 (#178)
| Benchmark | Gemma 3n E4b IT | Qwen3.5-9B |
|---|---|---|
| Kagi LLM Benchmark | 31.5% | — |
| CritPt | — | 0.3% |
| Chess Puzzles | — | 12% |
| LMArena Hard Prompts | 1284 | — |
| DTBench | — | 71.2% |
| LMCA | — | 24.5% |
| Epoch Capabilities Index | — | 139.45 |
Math Qwen3.5-9B leads
Gemma 3n E4b IT: 32.5 (#186), Qwen3.5-9B: 33.5 (#174)
| Benchmark | Gemma 3n E4b IT | Qwen3.5-9B |
|---|---|---|
| MathArena Final-Answer Competitions | — | 48.5% |
| OTIS Mock AIME 2024-2025 | — | 61.7% |
| LMArena Math | 1251 | — |
Knowledge Qwen3.5-9B leads
Gemma 3n E4b IT: 33.6 (#193), Qwen3.5-9B: 46.0 (#77)
| Benchmark | Gemma 3n E4b IT | Qwen3.5-9B |
|---|---|---|
| GPQA Diamond | — | 79% |
| LMArena Expert | 1245 | — |
Multilingual Not comparable
Gemma 3n E4b IT: 43.5 (#179), Qwen3.5-9B: —
| Benchmark | Gemma 3n E4b IT | Qwen3.5-9B |
|---|---|---|
| LMArena Non-English | 1285 | — |
| LMArena Chinese | 1310 | — |
| LMArena French | 1330 | — |
| LMArena German | 1312 | — |
| LMArena Japanese | 1274 | — |
| LMArena Korean | 1259 | — |
| LMArena Russian | 1288 | — |
| LMArena Spanish | 1305 | — |
Instruction Following Not comparable
Gemma 3n E4b IT: 66.3 (#205), Qwen3.5-9B: —
| Benchmark | Gemma 3n E4b IT | Qwen3.5-9B |
|---|---|---|
| LMArena Instruction Following | 1255 | — |
Long Context Not comparable
Gemma 3n E4b IT: 38.8 (#185), Qwen3.5-9B: —
| Benchmark | Gemma 3n E4b IT | Qwen3.5-9B |
|---|---|---|
| LMArena Longer Query | 1277 | — |
Writing & Preference Not comparable
Gemma 3n E4b IT: 50.3 (#181), Qwen3.5-9B: —
| Benchmark | Gemma 3n E4b IT | Qwen3.5-9B |
|---|---|---|
| LMArena Text | 1306 | — |
| LMArena Creative Writing | 1287 | — |
| LMArena Multi-Turn | 1276 | — |
Frequently asked questions
Is Gemma 3n E4b IT better than Qwen3.5-9B?
Gemma 3n E4b IT is the stronger model overall, scoring 36.7 to 33.3 on the Noometry Index.
Which is cheaper, Gemma 3n E4b IT or Qwen3.5-9B?
Gemma 3n E4b IT is cheaper. It lists at $0.06 per million input tokens and $0.12 per million output tokens; Qwen3.5-9B lists at $0.10 and $0.15.
Is Gemma 3n E4b IT or Qwen3.5-9B better for coding?
Gemma 3n E4b IT scores higher on coding benchmarks: 36.4 versus 35.3 in the Noometry coding category.
Which has the bigger context window?
Qwen3.5-9B does, with 262K tokens against 33K.
How many benchmarks do Gemma 3n E4b IT and Qwen3.5-9B share?
0 benchmarks have published results for both models. Gemma 3n E4b IT has 18 scored results on Noometry and Qwen3.5-9B has 10.