# DeepSeek-V3.2-Speciale vs Mercury

> DeepSeek-V3.2-Speciale is the stronger model overall, scoring 39.1 to 37.3 on the Noometry Index.

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

## Summary

- The widest gap is in reasoning, where DeepSeek-V3.2-Speciale leads 32.1 to 16.8.
- DeepSeek-V3.2-Speciale has downloadable open weights; the other is API-only.

## Snapshot

| | DeepSeek-V3.2-Speciale | Mercury |
|---|---|---|
| Provider | DeepSeek | Inception |
| Noometry Index | 39.1 | 37.3 |
| Rank | 159 | 192 |
| Context | 128K | — |
| Input $/M | $0.58 | — |
| Output $/M | $1.68 | — |
| Weights | Open | Proprietary |

## Coding

- DeepSeek-V3.2-Speciale: 39.9 (#136)
- Mercury: 38.1 (#164)

| Benchmark | DeepSeek-V3.2-Speciale | Mercury |
|---|---|---|
| WeirdML | 46.7% | — |
| LMArena Coding | — | 1323 |

## Reasoning

- DeepSeek-V3.2-Speciale: 32.1 (#65)
- Mercury: 16.8 (#288)

| Benchmark | DeepSeek-V3.2-Speciale | Mercury |
|---|---|---|
| SimpleBench | 52.6% | — |
| Kagi LLM Benchmark | — | 21.6% |
| LMArena Hard Prompts | — | 1284 |

## Multilingual

- DeepSeek-V3.2-Speciale: —
- Mercury: 41.7 (#201)

| Benchmark | DeepSeek-V3.2-Speciale | Mercury |
|---|---|---|
| LMArena Non-English | — | 1259 |

## Instruction Following

- DeepSeek-V3.2-Speciale: —
- Mercury: 65.3 (#220)

| Benchmark | DeepSeek-V3.2-Speciale | Mercury |
|---|---|---|
| LMArena Instruction Following | — | 1238 |

## Long Context

- DeepSeek-V3.2-Speciale: —
- Mercury: 38.3 (#193)

| Benchmark | DeepSeek-V3.2-Speciale | Mercury |
|---|---|---|
| LMArena Longer Query | — | 1264 |

## Writing & Preference

- DeepSeek-V3.2-Speciale: 46.1 (#217)
- Mercury: 46.2 (#216)

| Benchmark | DeepSeek-V3.2-Speciale | Mercury |
|---|---|---|
| LMArena Text | — | 1282 |
| LMArena Creative Writing | — | 1186 |
| EQ-Bench Creative Writing | 1276 | — |
| LMArena Multi-Turn | — | 1283 |

## FAQ

### Is DeepSeek-V3.2-Speciale better than Mercury?

DeepSeek-V3.2-Speciale is the stronger model overall, scoring 39.1 to 37.3 on the Noometry Index.

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

DeepSeek-V3.2-Speciale scores higher on coding benchmarks: 39.9 versus 38.1 in the Noometry coding category.

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

0 benchmarks have published results for both models. DeepSeek-V3.2-Speciale has 3 scored results on Noometry and Mercury has 9.