# DeepSeek-V3.2-Speciale vs Gemini 2.0 Flash (Feb 2025)

> DeepSeek-V3.2-Speciale is the stronger model overall, scoring 39.1 to 34.8 on the Noometry Index.

- Canonical page: https://noometry.com/compare/deepseek-v3-2-speciale-vs-gemini-2-0-flash
- Last updated: 2026-10-10
- Shared benchmarks: 3

## Summary

- They share 3 benchmarks with published results for both. DeepSeek-V3.2-Speciale scores higher in 2 categories and Gemini 2.0 Flash (Feb 2025) in 1 category; 3 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where DeepSeek-V3.2-Speciale leads 32.1 to 15.2.
- The biggest single-benchmark swing is SimpleBench: 52.6% for DeepSeek-V3.2-Speciale and 31.1% for Gemini 2.0 Flash (Feb 2025).
- DeepSeek-V3.2-Speciale has downloadable open weights; the other is API-only.

## Snapshot

| | DeepSeek-V3.2-Speciale | Gemini 2.0 Flash (Feb 2025) |
|---|---|---|
| Provider | DeepSeek | Google |
| Noometry Index | 39.1 | 34.8 |
| Rank | 159 | 223 |
| Context | 128K | — |
| Input $/M | $0.58 | — |
| Output $/M | $1.68 | — |
| Weights | Open | Proprietary |

## Coding

- DeepSeek-V3.2-Speciale: 39.9 (#136)
- Gemini 2.0 Flash (Feb 2025): 28.2 (#308)

| Benchmark | DeepSeek-V3.2-Speciale | Gemini 2.0 Flash (Feb 2025) |
|---|---|---|
| WeirdML | 46.7% | 25.8% |
| SWE-bench Verified (bash only) | — | 13.5% |
| Aider Polyglot | — | 38.2% |
| BigCodeBench Instruct | — | 45.9% |
| LiveBench Coding | — | 63.4% |
| LMArena Coding | — | 1351 |
| BigCodeBench Complete | — | 59.9% |
| CadEval | — | 30% |

## Agentic & Tool Use

- DeepSeek-V3.2-Speciale: —
- Gemini 2.0 Flash (Feb 2025): 28.0 (#85)

| Benchmark | DeepSeek-V3.2-Speciale | Gemini 2.0 Flash (Feb 2025) |
|---|---|---|
| TheAgentCompany | — | 11.4% |

## Reasoning

- DeepSeek-V3.2-Speciale: 32.1 (#65)
- Gemini 2.0 Flash (Feb 2025): 15.2 (#308)

| Benchmark | DeepSeek-V3.2-Speciale | Gemini 2.0 Flash (Feb 2025) |
|---|---|---|
| SimpleBench | 52.6% | 31.1% |
| ARC-AGI-2 | — | 1.3% |
| Kagi LLM Benchmark | — | 37.8% |
| EnigmaEval | — | 1.1% |
| LiveBench Reasoning | — | 78.2% |
| LMArena Hard Prompts | — | 1346 |
| DTBench | — | 63.2% |
| LiveBench Data Analysis | — | 69.4% |
| Epoch Capabilities Index | — | 135.36 |
| LiveBench | — | 66.9% |

## Math

- DeepSeek-V3.2-Speciale: —
- Gemini 2.0 Flash (Feb 2025): 36.1 (#127)

| Benchmark | DeepSeek-V3.2-Speciale | Gemini 2.0 Flash (Feb 2025) |
|---|---|---|
| OTIS Mock AIME 2024-2025 | — | 57.8% |
| Omni-MATH | — | 45.9% |
| LiveBench Math | — | 75.8% |
| LMArena Math | — | 1351 |
| MATH Level 5 | — | 82.2% |
| FrontierMath (Feb 2025 set) | — | 1.7% |

## Knowledge

- DeepSeek-V3.2-Speciale: —
- Gemini 2.0 Flash (Feb 2025): 32.0 (#207)

| Benchmark | DeepSeek-V3.2-Speciale | Gemini 2.0 Flash (Feb 2025) |
|---|---|---|
| GPQA Diamond | — | 64.1% |
| Humanity's Last Exam | — | 6.6% |
| MMLU-Pro | — | 73.7% |
| Confabulations | — | 12.4% |
| GPQA (HELM) | — | 55.6% |
| LMArena Expert | — | 1340 |
| MMLU | — | 79.7% |

## Multimodal

- DeepSeek-V3.2-Speciale: —
- Gemini 2.0 Flash (Feb 2025): 35.9 (#74)

| Benchmark | DeepSeek-V3.2-Speciale | Gemini 2.0 Flash (Feb 2025) |
|---|---|---|
| LMArena Vision | — | 1158 |
| GeoBench | — | 77% |

## Multilingual

- DeepSeek-V3.2-Speciale: —
- Gemini 2.0 Flash (Feb 2025): 47.6 (#144)

| Benchmark | DeepSeek-V3.2-Speciale | Gemini 2.0 Flash (Feb 2025) |
|---|---|---|
| LMArena Non-English | — | 1342 |
| LMArena Chinese | — | 1373 |
| LMArena French | — | 1390 |
| LMArena German | — | 1354 |
| LMArena Japanese | — | 1293 |
| LMArena Korean | — | 1314 |
| LMArena Russian | — | 1351 |
| LMArena Spanish | — | 1363 |

## Instruction Following

- DeepSeek-V3.2-Speciale: —
- Gemini 2.0 Flash (Feb 2025): 74.6 (#91)

| Benchmark | DeepSeek-V3.2-Speciale | Gemini 2.0 Flash (Feb 2025) |
|---|---|---|
| LiveBench Instruction Following | — | 85.8% |
| IFEval | — | 84.1% |
| LMArena Instruction Following | — | 1336 |

## Long Context

- DeepSeek-V3.2-Speciale: —
- Gemini 2.0 Flash (Feb 2025): 38.1 (#198)

| Benchmark | DeepSeek-V3.2-Speciale | Gemini 2.0 Flash (Feb 2025) |
|---|---|---|
| Fiction.LiveBench | — | 61.1% |
| LMArena Longer Query | — | 1345 |

## Writing & Preference

- DeepSeek-V3.2-Speciale: 46.1 (#217)
- Gemini 2.0 Flash (Feb 2025): 49.8 (#184)

| Benchmark | DeepSeek-V3.2-Speciale | Gemini 2.0 Flash (Feb 2025) |
|---|---|---|
| EQ-Bench Creative Writing | 1276 | 1128 |
| LMArena Text | — | 1354 |
| LMArena Creative Writing | — | 1340 |
| Short-Story Creative Writing | — | 73.8% |
| WildBench | — | 80% |
| LMArena Multi-Turn | — | 1350 |
| LiveBench Language | — | 51.3% |

## FAQ

### Is DeepSeek-V3.2-Speciale better than Gemini 2.0 Flash (Feb 2025)?

DeepSeek-V3.2-Speciale is the stronger model overall, scoring 39.1 to 34.8 on the Noometry Index.

### Is DeepSeek-V3.2-Speciale or Gemini 2.0 Flash (Feb 2025) better for coding?

DeepSeek-V3.2-Speciale scores higher on coding benchmarks: 39.9 versus 28.2 in the Noometry coding category.

### How many benchmarks do DeepSeek-V3.2-Speciale and Gemini 2.0 Flash (Feb 2025) share?

3 benchmarks have published results for both models. DeepSeek-V3.2-Speciale has 3 scored results on Noometry and Gemini 2.0 Flash (Feb 2025) has 54.