# DeepSeek-V3.2-Speciale vs o3-pro

> o3-pro is the stronger model overall, scoring 42.7 to 39.1 on the Noometry Index. DeepSeek-V3.2-Speciale costs 41× less per token, which makes it the better buy when o3-pro's lead doesn't matter for your workload.

- Canonical page: https://noometry.com/compare/deepseek-v3-2-speciale-vs-o3-pro
- 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 1 category and o3-pro in 2 categories; 3 gaps are clear of the uncertainty.
- The widest gap is in coding, where o3-pro leads 55.1 to 39.9.
- The biggest single-benchmark swing is WeirdML: 46.7% for DeepSeek-V3.2-Speciale and 58.2% for o3-pro.
- DeepSeek-V3.2-Speciale is cheaper at $0.58 / $1.68 per million input/output tokens, against $20 / $80 for o3-pro.
- o3-pro accepts more context: 200K tokens versus 128K.
- DeepSeek-V3.2-Speciale has downloadable open weights; the other is API-only.

## Snapshot

| | DeepSeek-V3.2-Speciale | o3-pro |
|---|---|---|
| Provider | DeepSeek | OpenAI |
| Noometry Index | 39.1 | 42.7 |
| Rank | 159 | 94 |
| Context | 128K | 200K |
| Input $/M | $0.58 | $20 |
| Output $/M | $1.68 | $80 |
| Weights | Open | Proprietary |

## Coding

- DeepSeek-V3.2-Speciale: 39.9 (#136)
- o3-pro: 55.1 (#22)

| Benchmark | DeepSeek-V3.2-Speciale | o3-pro |
|---|---|---|
| WeirdML | 46.7% | 58.2% |
| Aider Polyglot | — | 84.9% |

## Reasoning

- DeepSeek-V3.2-Speciale: 32.1 (#65)
- o3-pro: 24.1 (#152)

| Benchmark | DeepSeek-V3.2-Speciale | o3-pro |
|---|---|---|
| ARC-AGI-2 | — | 4.9% |
| SimpleBench | 52.6% | — |
| Kagi LLM Benchmark | — | 72.1% |
| ARC-AGI-1 | — | 59.3% |
| DTBench | — | 86.9% |
| LMCA | — | 38.5% |
| Epoch Capabilities Index | — | 147.43 |

## Knowledge

- DeepSeek-V3.2-Speciale: —
- o3-pro: 29.0 (#234)

| Benchmark | DeepSeek-V3.2-Speciale | o3-pro |
|---|---|---|
| Confabulations | — | 14.2% |
| Vectara Hallucination Rate | — | 23.3% |

## Long Context

- DeepSeek-V3.2-Speciale: —
- o3-pro: 72.1 (#1)

| Benchmark | DeepSeek-V3.2-Speciale | o3-pro |
|---|---|---|
| Fiction.LiveBench | — | 97.2% |

## Writing & Preference

- DeepSeek-V3.2-Speciale: 46.1 (#217)
- o3-pro: 57.1 (#128)

| Benchmark | DeepSeek-V3.2-Speciale | o3-pro |
|---|---|---|
| Short-Story Creative Writing | — | 84.4% |
| EQ-Bench Creative Writing | 1276 | — |

## FAQ

### Is DeepSeek-V3.2-Speciale better than o3-pro?

o3-pro is the stronger model overall, scoring 42.7 to 39.1 on the Noometry Index. DeepSeek-V3.2-Speciale costs 41× less per token, which makes it the better buy when o3-pro's lead doesn't matter for your workload.

### Which is cheaper, DeepSeek-V3.2-Speciale or o3-pro?

DeepSeek-V3.2-Speciale is cheaper. It lists at $0.58 per million input tokens and $1.68 per million output tokens; o3-pro lists at $20 and $80.

### Is DeepSeek-V3.2-Speciale or o3-pro better for coding?

o3-pro scores higher on coding benchmarks: 55.1 versus 39.9 in the Noometry coding category.

### Which has the bigger context window?

o3-pro does, with 200K tokens against 128K.

### How many benchmarks do DeepSeek-V3.2-Speciale and o3-pro share?

1 benchmark has published results for both models. DeepSeek-V3.2-Speciale has 3 scored results on Noometry and o3-pro has 12.