# DeepSeek-V3.2-Speciale vs Gemma 2 9B

> DeepSeek-V3.2-Speciale is the stronger model overall, scoring 39.1 to 25.7 on the Noometry Index.

- Canonical page: https://noometry.com/compare/deepseek-v3-2-speciale-vs-gemma-2-9b
- Last updated: 2026-10-10
- Shared benchmarks: 1

## Summary

- They share 1 benchmark with published results for both. DeepSeek-V3.2-Speciale scores higher in 3 categories and Gemma 2 9B in 0 categories; 3 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where DeepSeek-V3.2-Speciale leads 32.1 to 15.3.

## Snapshot

| | DeepSeek-V3.2-Speciale | Gemma 2 9B |
|---|---|---|
| Provider | DeepSeek | Google |
| Noometry Index | 39.1 | 25.7 |
| Rank | 159 | 334 |
| Context | 128K | — |
| Input $/M | $0.58 | — |
| Output $/M | $1.68 | — |
| Weights | Open | Open |

## Coding

- DeepSeek-V3.2-Speciale: 39.9 (#136)
- Gemma 2 9B: 29.0 (#299)

| Benchmark | DeepSeek-V3.2-Speciale | Gemma 2 9B |
|---|---|---|
| WeirdML | 46.7% | — |
| BigCodeBench Instruct | — | 34.7% |
| LiveBench Coding | — | 22.5% |
| LMArena Coding | — | 1174 |
| BigCodeBench Complete | — | 40.6% |

## Reasoning

- DeepSeek-V3.2-Speciale: 32.1 (#65)
- Gemma 2 9B: 15.3 (#306)

| Benchmark | DeepSeek-V3.2-Speciale | Gemma 2 9B |
|---|---|---|
| SimpleBench | 52.6% | — |
| LiveBench Reasoning | — | 15.2% |
| LMArena Hard Prompts | — | 1172 |
| LiveBench Data Analysis | — | 36.4% |
| Epoch Capabilities Index | — | 119.78 |
| LiveBench | — | 28.7% |
| PIQA | — | 83.7% |

## Math

- DeepSeek-V3.2-Speciale: —
- Gemma 2 9B: 9.3 (#312)

| Benchmark | DeepSeek-V3.2-Speciale | Gemma 2 9B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | — | 0.6% |
| LiveBench Math | — | 19.8% |
| LMArena Math | — | 1183 |
| MATH Level 5 | — | 21% |
| GSM8K | — | 84.9% |

## Knowledge

- DeepSeek-V3.2-Speciale: —
- Gemma 2 9B: 9.7 (#300)

| Benchmark | DeepSeek-V3.2-Speciale | Gemma 2 9B |
|---|---|---|
| GPQA Diamond | — | 27.5% |
| LMArena Expert | — | 1147 |
| BoolQ | — | 85.7% |
| MMLU | — | 72.1% |

## Multilingual

- DeepSeek-V3.2-Speciale: —
- Gemma 2 9B: 36.8 (#233)

| Benchmark | DeepSeek-V3.2-Speciale | Gemma 2 9B |
|---|---|---|
| LMArena Non-English | — | 1188 |
| LMArena Chinese | — | 1185 |
| LMArena French | — | 1189 |
| LMArena German | — | 1186 |
| LMArena Japanese | — | 1144 |
| LMArena Korean | — | 1137 |
| LMArena Russian | — | 1200 |
| LMArena Spanish | — | 1200 |

## Instruction Following

- DeepSeek-V3.2-Speciale: —
- Gemma 2 9B: 57.8 (#264)

| Benchmark | DeepSeek-V3.2-Speciale | Gemma 2 9B |
|---|---|---|
| LiveBench Instruction Following | — | 52.6% |
| LMArena Instruction Following | — | 1178 |

## Long Context

- DeepSeek-V3.2-Speciale: —
- Gemma 2 9B: 36.3 (#228)

| Benchmark | DeepSeek-V3.2-Speciale | Gemma 2 9B |
|---|---|---|
| LMArena Longer Query | — | 1197 |

## Writing & Preference

- DeepSeek-V3.2-Speciale: 46.1 (#217)
- Gemma 2 9B: 32.3 (#276)

| Benchmark | DeepSeek-V3.2-Speciale | Gemma 2 9B |
|---|---|---|
| EQ-Bench Creative Writing | 1276 | 841 |
| LMArena Text | — | 1207 |
| LMArena Creative Writing | — | 1206 |
| LMArena Multi-Turn | — | 1193 |
| LiveBench Language | — | 25.5% |

## FAQ

### Is DeepSeek-V3.2-Speciale better than Gemma 2 9B?

DeepSeek-V3.2-Speciale is the stronger model overall, scoring 39.1 to 25.7 on the Noometry Index.

### Is DeepSeek-V3.2-Speciale or Gemma 2 9B better for coding?

DeepSeek-V3.2-Speciale scores higher on coding benchmarks: 39.9 versus 29.0 in the Noometry coding category.

### How many benchmarks do DeepSeek-V3.2-Speciale and Gemma 2 9B share?

1 benchmark has published results for both models. DeepSeek-V3.2-Speciale has 3 scored results on Noometry and Gemma 2 9B has 35.