# DeepSeek-V3.2-Speciale vs Mercury 2

> DeepSeek-V3.2-Speciale and Mercury 2 score almost the same on the Noometry Index (39.1 vs 38.8), so choose on price, context window or the category you care about most.

- Canonical page: https://noometry.com/compare/deepseek-v3-2-speciale-vs-mercury-2
- 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 2 categories and Mercury 2 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 23.0.
- Mercury 2 is cheaper at $0.25 / $0.75 per million input/output tokens, against $0.58 / $1.68 for DeepSeek-V3.2-Speciale.
- DeepSeek-V3.2-Speciale has downloadable open weights; the other is API-only.

## Snapshot

| | DeepSeek-V3.2-Speciale | Mercury 2 |
|---|---|---|
| Provider | DeepSeek | Inception |
| Noometry Index | 39.1 | 38.8 |
| Rank | 159 | 167 |
| Context | 128K | 128K |
| Input $/M | $0.58 | $0.25 |
| Output $/M | $1.68 | $0.75 |
| Weights | Open | Proprietary |

## Coding

- DeepSeek-V3.2-Speciale: 39.9 (#136)
- Mercury 2: 33.2 (#250)

| Benchmark | DeepSeek-V3.2-Speciale | Mercury 2 |
|---|---|---|
| WeirdML | 46.7% | 43.2% |
| LMArena WebDev | — | 1170 |
| SciCode | — | 38.7% |
| LMArena Coding | — | 1391 |
| ALE-Bench | — | 785.58 |

## Reasoning

- DeepSeek-V3.2-Speciale: 32.1 (#65)
- Mercury 2: 23.0 (#170)

| Benchmark | DeepSeek-V3.2-Speciale | Mercury 2 |
|---|---|---|
| SimpleBench | 52.6% | — |
| CritPt | — | 0.8% |
| LMArena Hard Prompts | — | 1362 |

## Knowledge

- DeepSeek-V3.2-Speciale: —
- Mercury 2: 35.6 (#170)

| Benchmark | DeepSeek-V3.2-Speciale | Mercury 2 |
|---|---|---|
| Vectara Hallucination Rate | — | 12.3% |
| LMArena Expert | — | 1358 |

## Multilingual

- DeepSeek-V3.2-Speciale: —
- Mercury 2: 46.8 (#153)

| Benchmark | DeepSeek-V3.2-Speciale | Mercury 2 |
|---|---|---|
| LMArena Non-English | — | 1331 |
| LMArena Chinese | — | 1416 |
| LMArena Russian | — | 1303 |

## Instruction Following

- DeepSeek-V3.2-Speciale: —
- Mercury 2: 70.4 (#161)

| Benchmark | DeepSeek-V3.2-Speciale | Mercury 2 |
|---|---|---|
| LMArena Instruction Following | — | 1328 |

## Long Context

- DeepSeek-V3.2-Speciale: —
- Mercury 2: 40.4 (#149)

| Benchmark | DeepSeek-V3.2-Speciale | Mercury 2 |
|---|---|---|
| LMArena Longer Query | — | 1329 |

## Writing & Preference

- DeepSeek-V3.2-Speciale: 46.1 (#217)
- Mercury 2: 54.0 (#151)

| Benchmark | DeepSeek-V3.2-Speciale | Mercury 2 |
|---|---|---|
| LMArena Text | — | 1355 |
| LMArena Creative Writing | — | 1289 |
| EQ-Bench Creative Writing | 1276 | — |
| LMArena Multi-Turn | — | 1358 |

## FAQ

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

DeepSeek-V3.2-Speciale and Mercury 2 score almost the same on the Noometry Index (39.1 vs 38.8), so choose on price, context window or the category you care about most.

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

Mercury 2 is cheaper. It lists at $0.25 per million input tokens and $0.75 per million output tokens; DeepSeek-V3.2-Speciale lists at $0.58 and $1.68.

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

DeepSeek-V3.2-Speciale scores higher on coding benchmarks: 39.9 versus 33.2 in the Noometry coding category.

### Which has the bigger context window?

Both accept 128K tokens.

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

1 benchmark has published results for both models. DeepSeek-V3.2-Speciale has 3 scored results on Noometry and Mercury 2 has 17.