# DeepSeek-V3.1 vs ERNIE 5.1

> DeepSeek-V3.1 and ERNIE 5.1 score almost the same on the Noometry Index (42.2 vs 43.1), so choose on price, context window or the category you care about most.

- Canonical page: https://noometry.com/compare/deepseek-v3-1-vs-ernie-5-1
- Last updated: 2026-10-10
- Shared benchmarks: 17

## Summary

- They share 17 benchmarks with published results for both. DeepSeek-V3.1 scores higher in 2 categories and ERNIE 5.1 in 6 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in long context, where ERNIE 5.1 leads 44.7 to 36.3.
- DeepSeek-V3.1 has downloadable open weights; the other is API-only.

## Snapshot

| | DeepSeek-V3.1 | ERNIE 5.1 |
|---|---|---|
| Provider | DeepSeek | Baidu |
| Noometry Index | 42.2 | 43.1 |
| Rank | 106 | 87 |
| Context | 164K | — |
| Input $/M | $0.25 | — |
| Output $/M | $0.95 | — |
| Weights | Open | Proprietary |

## Coding

- DeepSeek-V3.1: 39.8 (#140)
- ERNIE 5.1: 43.4 (#78)

| Benchmark | DeepSeek-V3.1 | ERNIE 5.1 |
|---|---|---|
| LMArena Coding | 1417 | 1488 |
| WeirdML | 38.4% | — |

## Agentic & Tool Use

- DeepSeek-V3.1: —
- ERNIE 5.1: —

| Benchmark | DeepSeek-V3.1 | ERNIE 5.1 |
|---|---|---|
| LMArena Search | — | 1227 |

## Reasoning

- DeepSeek-V3.1: 27.3 (#109)
- ERNIE 5.1: 20.9 (#209)

| Benchmark | DeepSeek-V3.1 | ERNIE 5.1 |
|---|---|---|
| LMArena Hard Prompts | 1417 | 1481 |
| SimpleBench | 40% | — |
| Kagi LLM Benchmark | 53.2% | — |
| NYT Connections (extended) | — | 23.4% |
| DTBench | 82.7% | — |
| LMCA | 24.3% | — |
| Epoch Capabilities Index | 139.92 | — |
| ForecastBench | 58 | — |

## Math

- DeepSeek-V3.1: 36.1 (#125)
- ERNIE 5.1: 37.5 (#96)

| Benchmark | DeepSeek-V3.1 | ERNIE 5.1 |
|---|---|---|
| LMArena Math | 1420 | 1481 |

## Knowledge

- DeepSeek-V3.1: 43.0 (#86)
- ERNIE 5.1: 41.2 (#103)

| Benchmark | DeepSeek-V3.1 | ERNIE 5.1 |
|---|---|---|
| LMArena Expert | 1403 | 1491 |
| Vectara Hallucination Rate | 5.5% | — |

## Multilingual

- DeepSeek-V3.1: 51.8 (#100)
- ERNIE 5.1: 55.7 (#28)

| Benchmark | DeepSeek-V3.1 | ERNIE 5.1 |
|---|---|---|
| LMArena Non-English | 1400 | 1455 |
| LMArena Chinese | 1470 | 1507 |
| LMArena French | 1447 | 1486 |
| LMArena German | 1412 | 1470 |
| LMArena Japanese | 1374 | 1422 |
| LMArena Korean | 1337 | 1428 |
| LMArena Russian | 1405 | 1459 |
| LMArena Spanish | 1429 | 1472 |

## Instruction Following

- DeepSeek-V3.1: 74.1 (#105)
- ERNIE 5.1: 76.9 (#35)

| Benchmark | DeepSeek-V3.1 | ERNIE 5.1 |
|---|---|---|
| LMArena Instruction Following | 1400 | 1460 |

## Long Context

- DeepSeek-V3.1: 36.3 (#227)
- ERNIE 5.1: 44.7 (#56)

| Benchmark | DeepSeek-V3.1 | ERNIE 5.1 |
|---|---|---|
| LMArena Longer Query | 1422 | 1462 |
| Fiction.LiveBench | 52.8% | — |

## Writing & Preference

- DeepSeek-V3.1: 60.5 (#93)
- ERNIE 5.1: 65.3 (#50)

| Benchmark | DeepSeek-V3.1 | ERNIE 5.1 |
|---|---|---|
| LMArena Text | 1420 | 1468 |
| LMArena Creative Writing | 1401 | 1440 |
| LMArena Multi-Turn | 1408 | 1471 |
| EQ-Bench Creative Writing | 1436 | — |

## FAQ

### Is DeepSeek-V3.1 better than ERNIE 5.1?

DeepSeek-V3.1 and ERNIE 5.1 score almost the same on the Noometry Index (42.2 vs 43.1), so choose on price, context window or the category you care about most.

### Is DeepSeek-V3.1 or ERNIE 5.1 better for coding?

ERNIE 5.1 scores higher on coding benchmarks: 43.4 versus 39.8 in the Noometry coding category.

### How many benchmarks do DeepSeek-V3.1 and ERNIE 5.1 share?

17 benchmarks have published results for both models. DeepSeek-V3.1 has 27 scored results on Noometry and ERNIE 5.1 has 19.