# DeepSeek-V3.2-Speciale vs Gemma 3n E4b IT

> DeepSeek-V3.2-Speciale is the stronger model overall, scoring 39.1 to 36.7 on the Noometry Index. Gemma 3n E4b IT costs 11× less per token, which makes it the better buy when DeepSeek-V3.2-Speciale's lead doesn't matter for your workload.

- Canonical page: https://noometry.com/compare/deepseek-v3-2-speciale-vs-gemma-3n-e4b-it
- Last updated: 2026-10-10
- Shared benchmarks: 0

## Summary

- The widest gap is in reasoning, where DeepSeek-V3.2-Speciale leads 32.1 to 19.2.
- Gemma 3n E4b IT is cheaper at $0.06 / $0.12 per million input/output tokens, against $0.58 / $1.68 for DeepSeek-V3.2-Speciale.
- DeepSeek-V3.2-Speciale accepts more context: 128K tokens versus 33K.

## Snapshot

| | DeepSeek-V3.2-Speciale | Gemma 3n E4b IT |
|---|---|---|
| Provider | DeepSeek | Google |
| Noometry Index | 39.1 | 36.7 |
| Rank | 159 | 203 |
| Context | 128K | 33K |
| Input $/M | $0.58 | $0.06 |
| Output $/M | $1.68 | $0.12 |
| Weights | Open | Open |

## Coding

- DeepSeek-V3.2-Speciale: 39.9 (#136)
- Gemma 3n E4b IT: 36.4 (#193)

| Benchmark | DeepSeek-V3.2-Speciale | Gemma 3n E4b IT |
|---|---|---|
| WeirdML | 46.7% | — |
| LMArena Coding | — | 1269 |

## Reasoning

- DeepSeek-V3.2-Speciale: 32.1 (#65)
- Gemma 3n E4b IT: 19.2 (#239)

| Benchmark | DeepSeek-V3.2-Speciale | Gemma 3n E4b IT |
|---|---|---|
| SimpleBench | 52.6% | — |
| Kagi LLM Benchmark | — | 31.5% |
| LMArena Hard Prompts | — | 1284 |

## Math

- DeepSeek-V3.2-Speciale: —
- Gemma 3n E4b IT: 32.5 (#186)

| Benchmark | DeepSeek-V3.2-Speciale | Gemma 3n E4b IT |
|---|---|---|
| LMArena Math | — | 1251 |

## Knowledge

- DeepSeek-V3.2-Speciale: —
- Gemma 3n E4b IT: 33.6 (#193)

| Benchmark | DeepSeek-V3.2-Speciale | Gemma 3n E4b IT |
|---|---|---|
| LMArena Expert | — | 1245 |

## Multilingual

- DeepSeek-V3.2-Speciale: —
- Gemma 3n E4b IT: 43.5 (#179)

| Benchmark | DeepSeek-V3.2-Speciale | Gemma 3n E4b IT |
|---|---|---|
| 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

- DeepSeek-V3.2-Speciale: —
- Gemma 3n E4b IT: 66.3 (#205)

| Benchmark | DeepSeek-V3.2-Speciale | Gemma 3n E4b IT |
|---|---|---|
| LMArena Instruction Following | — | 1255 |

## Long Context

- DeepSeek-V3.2-Speciale: —
- Gemma 3n E4b IT: 38.8 (#185)

| Benchmark | DeepSeek-V3.2-Speciale | Gemma 3n E4b IT |
|---|---|---|
| LMArena Longer Query | — | 1277 |

## Writing & Preference

- DeepSeek-V3.2-Speciale: 46.1 (#217)
- Gemma 3n E4b IT: 50.3 (#181)

| Benchmark | DeepSeek-V3.2-Speciale | Gemma 3n E4b IT |
|---|---|---|
| LMArena Text | — | 1306 |
| LMArena Creative Writing | — | 1287 |
| EQ-Bench Creative Writing | 1276 | — |
| LMArena Multi-Turn | — | 1276 |

## FAQ

### Is DeepSeek-V3.2-Speciale better than Gemma 3n E4b IT?

DeepSeek-V3.2-Speciale is the stronger model overall, scoring 39.1 to 36.7 on the Noometry Index. Gemma 3n E4b IT costs 11× less per token, which makes it the better buy when DeepSeek-V3.2-Speciale's lead doesn't matter for your workload.

### Which is cheaper, DeepSeek-V3.2-Speciale or Gemma 3n E4b IT?

Gemma 3n E4b IT is cheaper. It lists at $0.06 per million input tokens and $0.12 per million output tokens; DeepSeek-V3.2-Speciale lists at $0.58 and $1.68.

### Is DeepSeek-V3.2-Speciale or Gemma 3n E4b IT better for coding?

DeepSeek-V3.2-Speciale scores higher on coding benchmarks: 39.9 versus 36.4 in the Noometry coding category.

### Which has the bigger context window?

DeepSeek-V3.2-Speciale does, with 128K tokens against 33K.

### How many benchmarks do DeepSeek-V3.2-Speciale and Gemma 3n E4b IT share?

0 benchmarks have published results for both models. DeepSeek-V3.2-Speciale has 3 scored results on Noometry and Gemma 3n E4b IT has 18.