# DeepSeek-V2.5 (Sep 2024) vs DeepSeek-V3.2-Speciale

> DeepSeek-V3.2-Speciale is the stronger model overall, scoring 39.1 to 37.0 on the Noometry Index.

- Canonical page: https://noometry.com/compare/deepseek-v2-5-vs-deepseek-v3-2-speciale
- Last updated: 2026-10-10
- Shared benchmarks: 0

## Summary

- The widest gap is in coding, where DeepSeek-V3.2-Speciale leads 39.9 to 31.3.

## Snapshot

| | DeepSeek-V2.5 (Sep 2024) | DeepSeek-V3.2-Speciale |
|---|---|---|
| Provider | DeepSeek | DeepSeek |
| Noometry Index | 37.0 | 39.1 |
| Rank | 197 | 159 |
| Context | — | 128K |
| Input $/M | — | $0.58 |
| Output $/M | — | $1.68 |
| Weights | Open | Open |

## Coding

- DeepSeek-V2.5 (Sep 2024): 31.3 (#274)
- DeepSeek-V3.2-Speciale: 39.9 (#136)

| Benchmark | DeepSeek-V2.5 (Sep 2024) | DeepSeek-V3.2-Speciale |
|---|---|---|
| Aider Polyglot | 17.8% | — |
| WeirdML | — | 46.7% |
| BigCodeBench Instruct | 48.6% | — |
| LMArena Coding | 1310 | — |
| BigCodeBench Complete | 53.2% | — |
| HumanEval+ | 83.5% | — |
| MBPP+ | 74.1% | — |

## Reasoning

- DeepSeek-V2.5 (Sep 2024): 24.5 (#145)
- DeepSeek-V3.2-Speciale: 32.1 (#65)

| Benchmark | DeepSeek-V2.5 (Sep 2024) | DeepSeek-V3.2-Speciale |
|---|---|---|
| SimpleBench | — | 52.6% |
| LMArena Hard Prompts | 1289 | — |

## Math

- DeepSeek-V2.5 (Sep 2024): 33.3 (#177)
- DeepSeek-V3.2-Speciale: —

| Benchmark | DeepSeek-V2.5 (Sep 2024) | DeepSeek-V3.2-Speciale |
|---|---|---|
| LMArena Math | 1289 | — |

## Knowledge

- DeepSeek-V2.5 (Sep 2024): 34.2 (#190)
- DeepSeek-V3.2-Speciale: —

| Benchmark | DeepSeek-V2.5 (Sep 2024) | DeepSeek-V3.2-Speciale |
|---|---|---|
| LMArena Expert | 1266 | — |

## Multilingual

- DeepSeek-V2.5 (Sep 2024): 42.7 (#188)
- DeepSeek-V3.2-Speciale: —

| Benchmark | DeepSeek-V2.5 (Sep 2024) | DeepSeek-V3.2-Speciale |
|---|---|---|
| LMArena Non-English | 1273 | — |
| LMArena Chinese | 1317 | — |
| LMArena French | 1288 | — |
| LMArena German | 1258 | — |
| LMArena Japanese | 1228 | — |
| LMArena Korean | 1209 | — |
| LMArena Russian | 1289 | — |
| LMArena Spanish | 1248 | — |

## Instruction Following

- DeepSeek-V2.5 (Sep 2024): 67.7 (#189)
- DeepSeek-V3.2-Speciale: —

| Benchmark | DeepSeek-V2.5 (Sep 2024) | DeepSeek-V3.2-Speciale |
|---|---|---|
| LMArena Instruction Following | 1280 | — |

## Long Context

- DeepSeek-V2.5 (Sep 2024): 39.5 (#169)
- DeepSeek-V3.2-Speciale: —

| Benchmark | DeepSeek-V2.5 (Sep 2024) | DeepSeek-V3.2-Speciale |
|---|---|---|
| LMArena Longer Query | 1301 | — |

## Writing & Preference

- DeepSeek-V2.5 (Sep 2024): 50.0 (#182)
- DeepSeek-V3.2-Speciale: 46.1 (#217)

| Benchmark | DeepSeek-V2.5 (Sep 2024) | DeepSeek-V3.2-Speciale |
|---|---|---|
| LMArena Text | 1294 | — |
| LMArena Creative Writing | 1285 | — |
| EQ-Bench Creative Writing | — | 1276 |
| LMArena Multi-Turn | 1297 | — |

## FAQ

### Is DeepSeek-V2.5 (Sep 2024) better than DeepSeek-V3.2-Speciale?

DeepSeek-V3.2-Speciale is the stronger model overall, scoring 39.1 to 37.0 on the Noometry Index.

### Is DeepSeek-V2.5 (Sep 2024) or DeepSeek-V3.2-Speciale better for coding?

DeepSeek-V3.2-Speciale scores higher on coding benchmarks: 39.9 versus 31.3 in the Noometry coding category.

### How many benchmarks do DeepSeek-V2.5 (Sep 2024) and DeepSeek-V3.2-Speciale share?

0 benchmarks have published results for both models. DeepSeek-V2.5 (Sep 2024) has 22 scored results on Noometry and DeepSeek-V3.2-Speciale has 3.