# DeepSeek-V3.2-Speciale vs GPT-4.5

> DeepSeek-V3.2-Speciale is the stronger model overall, scoring 39.7 to 37.2 on the Noometry Index.

- Canonical page: https://noometry.com/compare/deepseek-v3-2-speciale-vs-gpt-4-5
- Last updated: 2026-10-12
- Shared benchmarks: 3

## Summary

- They share 3 benchmarks with published results for both. DeepSeek-V3.2-Speciale scores higher in 1 category and GPT-4.5 in 2 categories; 3 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where DeepSeek-V3.2-Speciale leads 32.9 to 13.9.
- The biggest single-benchmark swing is SimpleBench: 52.6% for DeepSeek-V3.2-Speciale and 34.5% for GPT-4.5.
- DeepSeek-V3.2-Speciale has downloadable open weights; the other is API-only.

## Snapshot

| | DeepSeek-V3.2-Speciale | GPT-4.5 |
|---|---|---|
| Provider | DeepSeek | OpenAI |
| Noometry Index | 39.7 | 37.2 |
| Rank | 162 | 208 |
| Context | 128K | — |
| Input $/M | $0.58 | — |
| Output $/M | $1.68 | — |
| Weights | Open | Proprietary |

## Coding

- DeepSeek-V3.2-Speciale: 40.4 (#140)
- GPT-4.5: 42.2 (#109)

| Benchmark | DeepSeek-V3.2-Speciale | GPT-4.5 |
|---|---|---|
| WeirdML | 46.7% | 39.4% |
| Aider Polyglot | — | 44.9% |
| LiveBench Coding | — | 75.2% |
| LMArena Coding | — | 1396 |

## Agentic & Tool Use

- DeepSeek-V3.2-Speciale: —
- GPT-4.5: 27.9 (#97)

| Benchmark | DeepSeek-V3.2-Speciale | GPT-4.5 |
|---|---|---|
| Cybench | — | 17.5% |

## Reasoning

- DeepSeek-V3.2-Speciale: 32.9 (#73)
- GPT-4.5: 13.9 (#330)

| Benchmark | DeepSeek-V3.2-Speciale | GPT-4.5 |
|---|---|---|
| SimpleBench | 52.6% | 34.5% |
| ARC-AGI-2 | — | 0.8% |
| ARC-AGI-1 | — | 10.3% |
| EnigmaEval | — | 3.2% |
| LiveBench Reasoning | — | 71.1% |
| LMArena Hard Prompts | — | 1403 |
| LiveBench Data Analysis | — | 64.3% |
| Epoch Capabilities Index | — | 136.74 |
| ForecastBench | — | 61.7 |
| LiveBench | — | 69% |

## Math

- DeepSeek-V3.2-Speciale: —
- GPT-4.5: 32.6 (#211)

| Benchmark | DeepSeek-V3.2-Speciale | GPT-4.5 |
|---|---|---|
| OTIS Mock AIME 2024-2025 | — | 37.8% |
| LiveBench Math | — | 69.3% |
| LMArena Math | — | 1412 |
| MATH Level 5 | — | 78.6% |

## Knowledge

- DeepSeek-V3.2-Speciale: —
- GPT-4.5: 32.5 (#211)

| Benchmark | DeepSeek-V3.2-Speciale | GPT-4.5 |
|---|---|---|
| GPQA Diamond | — | 68.7% |
| Humanity's Last Exam | — | 5.4% |
| Confabulations | — | 13.6% |
| LMArena Expert | — | 1394 |

## Multimodal

- DeepSeek-V3.2-Speciale: —
- GPT-4.5: 37.6 (#71)

| Benchmark | DeepSeek-V3.2-Speciale | GPT-4.5 |
|---|---|---|
| LMArena Vision | — | 1195 |
| VPCT | — | 45% |

## Multilingual

- DeepSeek-V3.2-Speciale: —
- GPT-4.5: 52.5 (#83)

| Benchmark | DeepSeek-V3.2-Speciale | GPT-4.5 |
|---|---|---|
| LMArena Non-English | — | 1413 |
| LMArena Chinese | — | 1421 |
| LMArena French | — | 1418 |
| LMArena German | — | 1457 |
| LMArena Japanese | — | 1416 |
| LMArena Korean | — | 1392 |
| LMArena Russian | — | 1419 |

## Instruction Following

- DeepSeek-V3.2-Speciale: —
- GPT-4.5: 72.6 (#134)

| Benchmark | DeepSeek-V3.2-Speciale | GPT-4.5 |
|---|---|---|
| LiveBench Instruction Following | — | 72.3% |
| LMArena Instruction Following | — | 1404 |

## Long Context

- DeepSeek-V3.2-Speciale: —
- GPT-4.5: 40.4 (#155)

| Benchmark | DeepSeek-V3.2-Speciale | GPT-4.5 |
|---|---|---|
| Fiction.LiveBench | — | 63.9% |
| LMArena Longer Query | — | 1406 |

## Writing & Preference

- DeepSeek-V3.2-Speciale: 46.0 (#222)
- GPT-4.5: 56.9 (#134)

| Benchmark | DeepSeek-V3.2-Speciale | GPT-4.5 |
|---|---|---|
| EQ-Bench Creative Writing | 1276 | 1258 |
| LMArena Text | — | 1417 |
| LMArena Creative Writing | — | 1394 |
| Short-Story Creative Writing | — | 75.6% |
| LMArena Multi-Turn | — | 1444 |
| LiveBench Language | — | 61.5% |

## FAQ

### Is DeepSeek-V3.2-Speciale better than GPT-4.5?

DeepSeek-V3.2-Speciale is the stronger model overall, scoring 39.7 to 37.2 on the Noometry Index.

### Is DeepSeek-V3.2-Speciale or GPT-4.5 better for coding?

GPT-4.5 scores higher on coding benchmarks: 42.2 versus 40.4 in the Noometry coding category.

### How many benchmarks do DeepSeek-V3.2-Speciale and GPT-4.5 share?

3 benchmarks have published results for both models. DeepSeek-V3.2-Speciale has 3 scored results on Noometry and GPT-4.5 has 42.