# DeepSeek-V3.2-Speciale vs ERNIE 5.0 0110

> ERNIE 5.0 0110 is the stronger model overall, scoring 41.8 to 39.7 on the Noometry Index.

- Canonical page: https://noometry.com/compare/deepseek-v3-2-speciale-vs-ernie-5-0
- Last updated: 2026-10-12
- Shared benchmarks: 0

## Summary

- The widest gap is in writing & preference, where ERNIE 5.0 0110 leads 63.1 to 46.0.
- DeepSeek-V3.2-Speciale has downloadable open weights; the other is API-only.

## Snapshot

| | DeepSeek-V3.2-Speciale | ERNIE 5.0 0110 |
|---|---|---|
| Provider | DeepSeek | Baidu |
| Noometry Index | 39.7 | 41.8 |
| Rank | 162 | 129 |
| Context | 128K | — |
| Input $/M | $0.58 | — |
| Output $/M | $1.68 | — |
| Weights | Open | Proprietary |

## Coding

- DeepSeek-V3.2-Speciale: 40.4 (#140)
- ERNIE 5.0 0110: 43.0 (#94)

| Benchmark | DeepSeek-V3.2-Speciale | ERNIE 5.0 0110 |
|---|---|---|
| WeirdML | 46.7% | — |
| LMArena Coding | — | 1455 |

## Reasoning

- DeepSeek-V3.2-Speciale: 32.9 (#73)
- ERNIE 5.0 0110: 17.0 (#297)

| Benchmark | DeepSeek-V3.2-Speciale | ERNIE 5.0 0110 |
|---|---|---|
| SimpleBench | 52.6% | — |
| NYT Connections (extended) | — | 10.3% |
| Thematic Generalization | — | 41.7% |
| LMArena Hard Prompts | — | 1445 |

## Math

- DeepSeek-V3.2-Speciale: —
- ERNIE 5.0 0110: 39.3 (#110)

| Benchmark | DeepSeek-V3.2-Speciale | ERNIE 5.0 0110 |
|---|---|---|
| LMArena Math | — | 1437 |

## Knowledge

- DeepSeek-V3.2-Speciale: —
- ERNIE 5.0 0110: 39.8 (#128)

| Benchmark | DeepSeek-V3.2-Speciale | ERNIE 5.0 0110 |
|---|---|---|
| LMArena Expert | — | 1428 |

## Multimodal

- DeepSeek-V3.2-Speciale: —
- ERNIE 5.0 0110: 39.9 (#53)

| Benchmark | DeepSeek-V3.2-Speciale | ERNIE 5.0 0110 |
|---|---|---|
| LMArena Vision | — | 1249 |

## Multilingual

- DeepSeek-V3.2-Speciale: —
- ERNIE 5.0 0110: 54.1 (#49)

| Benchmark | DeepSeek-V3.2-Speciale | ERNIE 5.0 0110 |
|---|---|---|
| LMArena Non-English | — | 1436 |
| LMArena Chinese | — | 1512 |
| LMArena French | — | 1467 |
| LMArena German | — | 1460 |
| LMArena Japanese | — | 1382 |
| LMArena Korean | — | 1406 |
| LMArena Russian | — | 1446 |
| LMArena Spanish | — | 1473 |

## Instruction Following

- DeepSeek-V3.2-Speciale: —
- ERNIE 5.0 0110: 74.5 (#92)

| Benchmark | DeepSeek-V3.2-Speciale | ERNIE 5.0 0110 |
|---|---|---|
| LMArena Instruction Following | — | 1413 |

## Long Context

- DeepSeek-V3.2-Speciale: —
- ERNIE 5.0 0110: 43.4 (#95)

| Benchmark | DeepSeek-V3.2-Speciale | ERNIE 5.0 0110 |
|---|---|---|
| LMArena Longer Query | — | 1422 |

## Writing & Preference

- DeepSeek-V3.2-Speciale: 46.0 (#222)
- ERNIE 5.0 0110: 63.1 (#66)

| Benchmark | DeepSeek-V3.2-Speciale | ERNIE 5.0 0110 |
|---|---|---|
| LMArena Text | — | 1445 |
| LMArena Creative Writing | — | 1426 |
| EQ-Bench Creative Writing | 1276 | — |
| LMArena Multi-Turn | — | 1434 |

## FAQ

### Is DeepSeek-V3.2-Speciale better than ERNIE 5.0 0110?

ERNIE 5.0 0110 is the stronger model overall, scoring 41.8 to 39.7 on the Noometry Index.

### Is DeepSeek-V3.2-Speciale or ERNIE 5.0 0110 better for coding?

ERNIE 5.0 0110 scores higher on coding benchmarks: 43.0 versus 40.4 in the Noometry coding category.

### How many benchmarks do DeepSeek-V3.2-Speciale and ERNIE 5.0 0110 share?

0 benchmarks have published results for both models. DeepSeek-V3.2-Speciale has 3 scored results on Noometry and ERNIE 5.0 0110 has 20.