# DeepSeek-V3.2-Speciale vs INTELLECT-1

> DeepSeek-V3.2-Speciale has enough public results to be ranked (#162); INTELLECT-1 does not yet, so treat this comparison as directional.

- Canonical page: https://noometry.com/compare/deepseek-v3-2-speciale-vs-intellect-1
- Last updated: 2026-10-11
- Shared benchmarks: 0

## Summary

- DeepSeek-V3.2-Speciale has downloadable open weights; the other is API-only.

## Snapshot

| | DeepSeek-V3.2-Speciale | INTELLECT-1 |
|---|---|---|
| Provider | DeepSeek | Hugging Face |
| Noometry Index | 39.7 | — |
| Rank | 162 | — |
| Context | 128K | — |
| Input $/M | $0.58 | — |
| Output $/M | $1.68 | — |
| Weights | Open | Proprietary |

## Coding

- DeepSeek-V3.2-Speciale: 40.4 (#140)
- INTELLECT-1: —

| Benchmark | DeepSeek-V3.2-Speciale | INTELLECT-1 |
|---|---|---|
| WeirdML | 46.7% | — |

## Reasoning

- DeepSeek-V3.2-Speciale: 32.9 (#73)
- INTELLECT-1: —

| Benchmark | DeepSeek-V3.2-Speciale | INTELLECT-1 |
|---|---|---|
| SimpleBench | 52.6% | — |
| BIG-Bench Hard | — | 34.9% |
| Epoch Capabilities Index | — | 100.86 |
| HellaSwag | — | 71.4% |
| WinoGrande | — | 65.8% |

## Math

- DeepSeek-V3.2-Speciale: —
- INTELLECT-1: —

| Benchmark | DeepSeek-V3.2-Speciale | INTELLECT-1 |
|---|---|---|
| GSM8K | — | 38.6% |

## Knowledge

- DeepSeek-V3.2-Speciale: —
- INTELLECT-1: —

| Benchmark | DeepSeek-V3.2-Speciale | INTELLECT-1 |
|---|---|---|
| ARC (AI2) Challenge | — | 54.5% |
| MMLU | — | 49.9% |

## Writing & Preference

- DeepSeek-V3.2-Speciale: 46.0 (#222)
- INTELLECT-1: —

| Benchmark | DeepSeek-V3.2-Speciale | INTELLECT-1 |
|---|---|---|
| EQ-Bench Creative Writing | 1276 | — |

## FAQ

### Is DeepSeek-V3.2-Speciale better than INTELLECT-1?

DeepSeek-V3.2-Speciale has enough public results to be ranked (#162); INTELLECT-1 does not yet, so treat this comparison as directional.

### How many benchmarks do DeepSeek-V3.2-Speciale and INTELLECT-1 share?

0 benchmarks have published results for both models. DeepSeek-V3.2-Speciale has 3 scored results on Noometry and INTELLECT-1 has 7.