# Gemma 3n E4b IT vs Qwen2.5 32B Instruct

> Gemma 3n E4b IT is the stronger model overall, scoring 36.7 to 29.7 on the Noometry Index.

- Canonical page: https://noometry.com/compare/gemma-3n-e4b-it-vs-qwen2-5-32b-instruct
- Last updated: 2026-10-10
- Shared benchmarks: 0

## Summary

- The widest gap is in math, where Gemma 3n E4b IT leads 32.5 to 15.3.
- Gemma 3n E4b IT is cheaper at $0.06 / $0.12 per million input/output tokens, against $0.70 / $2.80 for Qwen2.5 32B Instruct.
- Qwen2.5 32B Instruct accepts more context: 131K tokens versus 33K.

## Snapshot

| | Gemma 3n E4b IT | Qwen2.5 32B Instruct |
|---|---|---|
| Provider | Google | Alibaba (Qwen) |
| Noometry Index | 36.7 | 29.7 |
| Rank | 203 | 291 |
| Context | 33K | 131K |
| Input $/M | $0.06 | $0.70 |
| Output $/M | $0.12 | $2.80 |
| Weights | Open | Open |

## Coding

- Gemma 3n E4b IT: 36.4 (#193)
- Qwen2.5 32B Instruct: 38.1 (#165)

| Benchmark | Gemma 3n E4b IT | Qwen2.5 32B Instruct |
|---|---|---|
| BigCodeBench Instruct | — | 45% |
| LMArena Coding | 1269 | — |
| BigCodeBench Complete | — | 52.3% |

## Reasoning

- Gemma 3n E4b IT: 19.2 (#239)
- Qwen2.5 32B Instruct: 18.5 (#262)

| Benchmark | Gemma 3n E4b IT | Qwen2.5 32B Instruct |
|---|---|---|
| Kagi LLM Benchmark | 31.5% | — |
| Chess Puzzles | — | 0% |
| LMArena Hard Prompts | 1284 | — |
| Epoch Capabilities Index | — | 128.52 |

## Math

- Gemma 3n E4b IT: 32.5 (#186)
- Qwen2.5 32B Instruct: 15.3 (#289)

| Benchmark | Gemma 3n E4b IT | Qwen2.5 32B Instruct |
|---|---|---|
| OTIS Mock AIME 2024-2025 | — | 7.4% |
| LMArena Math | 1251 | — |
| MATH Level 5 | — | 56.1% |

## Knowledge

- Gemma 3n E4b IT: 33.6 (#193)
- Qwen2.5 32B Instruct: 24.9 (#259)

| Benchmark | Gemma 3n E4b IT | Qwen2.5 32B Instruct |
|---|---|---|
| GPQA Diamond | — | 46.1% |
| LMArena Expert | 1245 | — |

## Multilingual

- Gemma 3n E4b IT: 43.5 (#179)
- Qwen2.5 32B Instruct: —

| Benchmark | Gemma 3n E4b IT | Qwen2.5 32B Instruct |
|---|---|---|
| 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

- Gemma 3n E4b IT: 66.3 (#205)
- Qwen2.5 32B Instruct: —

| Benchmark | Gemma 3n E4b IT | Qwen2.5 32B Instruct |
|---|---|---|
| LMArena Instruction Following | 1255 | — |

## Long Context

- Gemma 3n E4b IT: 38.8 (#185)
- Qwen2.5 32B Instruct: —

| Benchmark | Gemma 3n E4b IT | Qwen2.5 32B Instruct |
|---|---|---|
| LMArena Longer Query | 1277 | — |

## Writing & Preference

- Gemma 3n E4b IT: 50.3 (#181)
- Qwen2.5 32B Instruct: —

| Benchmark | Gemma 3n E4b IT | Qwen2.5 32B Instruct |
|---|---|---|
| LMArena Text | 1306 | — |
| LMArena Creative Writing | 1287 | — |
| LMArena Multi-Turn | 1276 | — |

## FAQ

### Is Gemma 3n E4b IT better than Qwen2.5 32B Instruct?

Gemma 3n E4b IT is the stronger model overall, scoring 36.7 to 29.7 on the Noometry Index.

### Which is cheaper, Gemma 3n E4b IT or Qwen2.5 32B Instruct?

Gemma 3n E4b IT is cheaper. It lists at $0.06 per million input tokens and $0.12 per million output tokens; Qwen2.5 32B Instruct lists at $0.70 and $2.80.

### Is Gemma 3n E4b IT or Qwen2.5 32B Instruct better for coding?

Qwen2.5 32B Instruct scores higher on coding benchmarks: 38.1 versus 36.4 in the Noometry coding category.

### Which has the bigger context window?

Qwen2.5 32B Instruct does, with 131K tokens against 33K.

### How many benchmarks do Gemma 3n E4b IT and Qwen2.5 32B Instruct share?

0 benchmarks have published results for both models. Gemma 3n E4b IT has 18 scored results on Noometry and Qwen2.5 32B Instruct has 7.