# DeepSeek-V3.2-Speciale vs Gemma 2B

> DeepSeek-V3.2-Speciale is the stronger model overall, scoring 39.7 to 29.6 on the Noometry Index.

- Canonical page: https://noometry.com/compare/deepseek-v3-2-speciale-vs-gemma-2b
- Last updated: 2026-10-11
- Shared benchmarks: 0

## Summary

- The widest gap is in writing & preference, where DeepSeek-V3.2-Speciale leads 46.0 to 24.0.

## Snapshot

| | DeepSeek-V3.2-Speciale | Gemma 2B |
|---|---|---|
| Provider | DeepSeek | Google |
| Noometry Index | 39.7 | 29.6 |
| Rank | 162 | 307 |
| Context | 128K | — |
| Input $/M | $0.58 | — |
| Output $/M | $1.68 | — |
| Weights | Open | Open |

## Coding

- DeepSeek-V3.2-Speciale: 40.4 (#140)
- Gemma 2B: 29.4 (#305)

| Benchmark | DeepSeek-V3.2-Speciale | Gemma 2B |
|---|---|---|
| WeirdML | 46.7% | — |
| LMArena Coding | — | 1010 |
| HumanEval+ | — | 20.7% |
| MBPP+ | — | 34.1% |

## Reasoning

- DeepSeek-V3.2-Speciale: 32.9 (#73)
- Gemma 2B: 18.8 (#275)

| Benchmark | DeepSeek-V3.2-Speciale | Gemma 2B |
|---|---|---|
| SimpleBench | 52.6% | — |
| LMArena Hard Prompts | — | 989 |
| BIG-Bench Hard | — | 35.2% |
| Epoch Capabilities Index | — | 94.2 |
| HellaSwag | — | 71.4% |
| PIQA | — | 77.3% |
| WinoGrande | — | 65.4% |

## Math

- DeepSeek-V3.2-Speciale: —
- Gemma 2B: 30.0 (#239)

| Benchmark | DeepSeek-V3.2-Speciale | Gemma 2B |
|---|---|---|
| LMArena Math | — | 1009 |
| GSM8K | — | 17.7% |

## Knowledge

- DeepSeek-V3.2-Speciale: —
- Gemma 2B: —

| Benchmark | DeepSeek-V3.2-Speciale | Gemma 2B |
|---|---|---|
| ARC (AI2) Challenge | — | 42.1% |
| BoolQ | — | 69.4% |
| MMLU | — | 42.3% |
| TriviaQA | — | 53.2% |

## Multilingual

- DeepSeek-V3.2-Speciale: —
- Gemma 2B: 23.0 (#294)

| Benchmark | DeepSeek-V3.2-Speciale | Gemma 2B |
|---|---|---|
| LMArena Non-English | — | 958 |
| LMArena Chinese | — | 986 |
| LMArena Russian | — | 937 |

## Instruction Following

- DeepSeek-V3.2-Speciale: —
- Gemma 2B: 48.5 (#302)

| Benchmark | DeepSeek-V3.2-Speciale | Gemma 2B |
|---|---|---|
| LMArena Instruction Following | — | 970 |

## Long Context

- DeepSeek-V3.2-Speciale: —
- Gemma 2B: 29.9 (#291)

| Benchmark | DeepSeek-V3.2-Speciale | Gemma 2B |
|---|---|---|
| LMArena Longer Query | — | 981 |

## Writing & Preference

- DeepSeek-V3.2-Speciale: 46.0 (#222)
- Gemma 2B: 24.0 (#308)

| Benchmark | DeepSeek-V3.2-Speciale | Gemma 2B |
|---|---|---|
| LMArena Text | — | 1002 |
| LMArena Creative Writing | — | 987 |
| EQ-Bench Creative Writing | 1276 | — |
| LMArena Multi-Turn | — | 945 |

## FAQ

### Is DeepSeek-V3.2-Speciale better than Gemma 2B?

DeepSeek-V3.2-Speciale is the stronger model overall, scoring 39.7 to 29.6 on the Noometry Index.

### Is DeepSeek-V3.2-Speciale or Gemma 2B better for coding?

DeepSeek-V3.2-Speciale scores higher on coding benchmarks: 40.4 versus 29.4 in the Noometry coding category.

### How many benchmarks do DeepSeek-V3.2-Speciale and Gemma 2B share?

0 benchmarks have published results for both models. DeepSeek-V3.2-Speciale has 3 scored results on Noometry and Gemma 2B has 23.