Baidu, unknown

# ERNIE 5.0 0110

> ERNIE 5.0 0110 by Baidu. Ranked #129 of 354 with a Noometry Index of 41.8. Scores, sources and comparisons.
- Canonical page: https://noometry.com/models/ernie-5-0
- Last updated: 2026-10-10
- Title: ERNIE 5.0 0110 Benchmarks, Price & Rank (October 2026)

ERNIE 5.0 0110 by Baidu ranks 129th of 354 ranked models on the Noometry Index as of October 2026, with a score of 41.8. Its strongest category is multilingual, where it ranks 49th.

Last verified October 10, 2026

## Specifications

- **Noometry rank:** #129 of 354
- **Index score:** 41.8
- **Evidence:** Confirmed 20 results
- **Provider:** [![](/logos/baidu.svg) Baidu](https://noometry.com/providers/baidu)
- **Released:** Unknown
- **Weights:** Unknown
- **Reasoning:** Unknown
- **Context window:** —
- **Max output:** —
- **Input price:** Not listed
- **Output price:** Not listed
- **Blended price:** Not listed
- **Output speed:** Not measured
- **Value:** Not ranked
- **Knowledge cutoff:** Unknown

## Category scores

Each category score combines every public result we have in that category.

ERNIE 5.0 0110 category scores

1.  Coding 43.0
2.  Reasoning 17.0
3.  Math 39.3
4.  Knowledge 39.8
5.  Multimodal 39.9
6.  Multilingual 54.1
7.  Instruction Following 74.5
8.  Long Context 43.4
9.  Writing & Preference 63.1
10.  020406080

ERNIE 5.0 0110 category ranks
| Category | Score | Rank | Results |
| --- | --- | --- | --- |
| [Coding](https://noometry.com/best/coding) | 43.0 | #94 | 1 |
| [Reasoning](https://noometry.com/best/reasoning) | 17.0 | #297 | 3 |
| [Math](https://noometry.com/best/math) | 39.3 | #110 | 1 |
| [Knowledge](https://noometry.com/best/knowledge) | 39.8 | #128 | 1 |
| [Multimodal](https://noometry.com/best/multimodal) | 39.9 | #53 | 1 |
| [Multilingual](https://noometry.com/best/multilingual) | 54.1 | #49 | 1 |
| [Instruction Following](https://noometry.com/best/instruction-following) | 74.5 | #92 | 1 |
| [Long Context](https://noometry.com/best/long-context) | 43.4 | #95 | 1 |
| [Writing & Preference](https://noometry.com/best/writing) | 63.1 | #66 | 3 |

## Strengths and weaknesses

Categories where ERNIE 5.0 0110 places highest and lowest among the models ranked in each, with its score against that category's median.

### Strongest categories

ERNIE 5.0 0110: strongest categories
| Category | Score | vs median | Rank |
| --- | --- | --- | --- |
| [Multilingual](https://noometry.com/best/multilingual) | 54.1 | +6.7 | #49 of 297, top 17% |
| [Writing & Preference](https://noometry.com/best/writing) | 63.1 | +9.4 | #66 of 312, top 22% |
| [Coding](https://noometry.com/best/coding) | 43.0 | +4.3 | #94 of 340, top 28% |

### Weakest categories

ERNIE 5.0 0110: weakest categories
| Category | Score | vs median | Rank |
| --- | --- | --- | --- |
| [Reasoning](https://noometry.com/best/reasoning) | 17.0 | −6.6 | #297 of 350, top 85% |
| [Multimodal](https://noometry.com/best/multimodal) | 39.9 | +1.3 | #53 of 128, top 42% |
| [Knowledge](https://noometry.com/best/knowledge) | 39.8 | +2.5 | #128 of 314, top 41% |

## Closest competitors

The models ranked just above and below ERNIE 5.0 0110. When scores are this close, price and speed are often the better way to choose.

Models ranked closest to ERNIE 5.0 0110
| Model | Rank | Score | Blended $/M | Speed |  |
| --- | --- | --- | --- | --- | --- |
| [GPT-5.4 nano](https://noometry.com/models/gpt-5-4-nano) | #125 | 41.9 | $0.46 | 19 | [Compare](https://noometry.com/compare/ernie-5-0-vs-gpt-5-4-nano) |
| [Amazon Nova Experimental Chat 10 09](https://noometry.com/models/amazon-nova-experimental-chat-10-09) | #126 | 41.9 | — | — | [Compare](https://noometry.com/compare/amazon-nova-experimental-chat-10-09-vs-ernie-5-0) |
| [Qwen3.5 27B](https://noometry.com/models/qwen3-5-27b) | #127 | 41.9 | $0.82 | — | [Compare](https://noometry.com/compare/ernie-5-0-vs-qwen3-5-27b) |
| [GPT-5 Mini](https://noometry.com/models/gpt-5-mini) | #128 | 41.8 | $0.69 | 3 | [Compare](https://noometry.com/compare/ernie-5-0-vs-gpt-5-mini) |
| [Granite 4.2 30b](https://noometry.com/models/granite-4-2-30b) | #130 | 41.8 | — | — | [Compare](https://noometry.com/compare/ernie-5-0-vs-granite-4-2-30b) |
| [Muse Glimmer](https://noometry.com/models/muse-glimmer) | #131 | 41.7 | — | — | [Compare](https://noometry.com/compare/ernie-5-0-vs-muse-glimmer) |
| [o4-mini](https://noometry.com/models/o4-mini) | #132 | 41.6 | $1.93 | 6 | [Compare](https://noometry.com/compare/ernie-5-0-vs-o4-mini) |
| [Gemini 3.5 Flash Lite](https://noometry.com/models/gemini-3-5-flash-lite) | #133 | 41.5 | $0.85 | — | [Compare](https://noometry.com/compare/ernie-5-0-vs-gemini-3-5-flash-lite) |

Sponsored placements are available on pages like this one. [Advertise on Noometry](https://noometry.com/advertise)

## Benchmark results

Every published result we track, with its source. Bold rows are the ones used for ranking; where several exist we prefer independent runs over self-reported numbers.

### Coding

ERNIE 5.0 0110 Coding benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [LMArena Coding](https://noometry.com/benchmarks/arena-coding) | 1455 | #77 of 294, top 27% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena Coding](https://noometry.com/benchmarks/arena-coding) | 1426 |  |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena Coding](https://noometry.com/benchmarks/arena-coding) | 1412 |  |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |

### Reasoning

ERNIE 5.0 0110 Reasoning benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [NYT Connections (extended)](https://noometry.com/benchmarks/nyt-connections) | 10.3% | #87 of 91, top 96% |  | [Lech Mazur benchmarks](https://github.com/lechmazur/nyt-connections) |  |
| [Thematic Generalization](https://noometry.com/benchmarks/thematic-generalization) | 41.7% | #19 of 23, top 83% |  | [Lech Mazur benchmarks](https://github.com/lechmazur/generalization) |  |
| [LMArena Hard Prompts](https://noometry.com/benchmarks/arena-hard-prompts) | 1421 |  |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena Hard Prompts](https://noometry.com/benchmarks/arena-hard-prompts) | 1445 | #71 of 297, top 24% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena Hard Prompts](https://noometry.com/benchmarks/arena-hard-prompts) | 1438 |  |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |

### Math

ERNIE 5.0 0110 Math benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [LMArena Math](https://noometry.com/benchmarks/arena-math) | 1410 |  |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena Math](https://noometry.com/benchmarks/arena-math) | 1405 |  |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena Math](https://noometry.com/benchmarks/arena-math) | 1437 | #76 of 285, top 27% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |

### Knowledge

ERNIE 5.0 0110 Knowledge benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [LMArena Expert](https://noometry.com/benchmarks/arena-expert) | 1423 |  |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena Expert](https://noometry.com/benchmarks/arena-expert) | 1428 | #99 of 273, top 37% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena Expert](https://noometry.com/benchmarks/arena-expert) | 1419 |  |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |

### Multimodal

ERNIE 5.0 0110 Multimodal benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [LMArena Vision](https://noometry.com/benchmarks/arena-vision) | 1249 | #56 of 122, top 46% |  | [LMArena](https://lmarena.ai/leaderboard/vision) | 2026-10-09 |

### Multilingual

ERNIE 5.0 0110 Multilingual benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [LMArena Non-English](https://noometry.com/benchmarks/arena-non-english) | 1435 |  |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena Non-English](https://noometry.com/benchmarks/arena-non-english) | 1427 |  |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena Non-English](https://noometry.com/benchmarks/arena-non-english) | 1436 | #49 of 297, top 17% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena Chinese](https://noometry.com/benchmarks/arena-chinese) | 1493 |  |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena Chinese](https://noometry.com/benchmarks/arena-chinese) | 1512 | #32 of 285, top 12% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena Chinese](https://noometry.com/benchmarks/arena-chinese) | 1500 |  |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena French](https://noometry.com/benchmarks/arena-french) | 1459 |  |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena French](https://noometry.com/benchmarks/arena-french) | 1467 | #42 of 223, top 19% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena German](https://noometry.com/benchmarks/arena-german) | 1436 |  |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena German](https://noometry.com/benchmarks/arena-german) | 1460 | #34 of 231, top 15% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena Japanese](https://noometry.com/benchmarks/arena-japanese) | 1382 | #76 of 211, top 37% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena Korean](https://noometry.com/benchmarks/arena-korean) | 1372 |  |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena Korean](https://noometry.com/benchmarks/arena-korean) | 1406 | #47 of 213, top 23% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena Russian](https://noometry.com/benchmarks/arena-russian) | 1437 |  |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena Russian](https://noometry.com/benchmarks/arena-russian) | 1400 |  |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena Russian](https://noometry.com/benchmarks/arena-russian) | 1446 | #48 of 283, top 17% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena Spanish](https://noometry.com/benchmarks/arena-spanish) | 1473 | #19 of 226, top 9% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena Spanish](https://noometry.com/benchmarks/arena-spanish) | 1424 |  |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena Spanish](https://noometry.com/benchmarks/arena-spanish) | 1447 |  |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |

### Instruction Following

ERNIE 5.0 0110 Instruction Following benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [LMArena Instruction Following](https://noometry.com/benchmarks/arena-instruction-following) | 1402 |  |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena Instruction Following](https://noometry.com/benchmarks/arena-instruction-following) | 1393 |  |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena Instruction Following](https://noometry.com/benchmarks/arena-instruction-following) | 1413 | #82 of 298, top 28% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |

### Long Context

ERNIE 5.0 0110 Long Context benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [LMArena Longer Query](https://noometry.com/benchmarks/arena-longer-query) | 1422 | #89 of 291, top 31% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena Longer Query](https://noometry.com/benchmarks/arena-longer-query) | 1407 |  |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena Longer Query](https://noometry.com/benchmarks/arena-longer-query) | 1410 |  |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |

### Writing & Preference

ERNIE 5.0 0110 Writing & Preference benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [LMArena Text](https://noometry.com/benchmarks/arena-text) | 1430 |  |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena Text](https://noometry.com/benchmarks/arena-text) | 1443 |  |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena Text](https://noometry.com/benchmarks/arena-text) | 1445 | #53 of 297, top 18% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena Creative Writing](https://noometry.com/benchmarks/arena-creative-writing) | 1426 | #51 of 295, top 18% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena Creative Writing](https://noometry.com/benchmarks/arena-creative-writing) | 1422 |  |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena Creative Writing](https://noometry.com/benchmarks/arena-creative-writing) | 1416 |  |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena Multi-Turn](https://noometry.com/benchmarks/arena-multi-turn) | 1434 | #79 of 295, top 27% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena Multi-Turn](https://noometry.com/benchmarks/arena-multi-turn) | 1419 |  |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena Multi-Turn](https://noometry.com/benchmarks/arena-multi-turn) | 1409 |  |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |

## Compare ERNIE 5.0 0110

-   [ERNIE 5.0 0110 vs GPT-5 Mini](https://noometry.com/compare/ernie-5-0-vs-gpt-5-mini)
-   [ERNIE 5.0 0110 vs Granite 4.2 30b](https://noometry.com/compare/ernie-5-0-vs-granite-4-2-30b)
-   [ERNIE 5.0 0110 vs Qwen3.5 27B](https://noometry.com/compare/ernie-5-0-vs-qwen3-5-27b)
-   [ERNIE 5.0 0110 vs Muse Glimmer](https://noometry.com/compare/ernie-5-0-vs-muse-glimmer)
-   [ERNIE 5.0 0110 vs Amazon Nova Experimental Chat 10 09](https://noometry.com/compare/amazon-nova-experimental-chat-10-09-vs-ernie-5-0)
-   [ERNIE 5.0 0110 vs o4-mini](https://noometry.com/compare/ernie-5-0-vs-o4-mini)
-   [ERNIE 5.0 0110 vs GPT-6 Astra](https://noometry.com/compare/ernie-5-0-vs-gpt-6-astra)
-   [ERNIE 5.0 0110 vs Claude Fable 5.1](https://noometry.com/compare/claude-fable-5-1-vs-ernie-5-0)
-   [ERNIE 5.0 0110 vs Gemini 3.8 Flash](https://noometry.com/compare/ernie-5-0-vs-gemini-3-8-flash)
-   [ERNIE 5.0 0110 vs Kimi K3](https://noometry.com/compare/ernie-5-0-vs-kimi-k3)
-   [ERNIE 5.0 0110 vs Grok 4.6](https://noometry.com/compare/ernie-5-0-vs-grok-4-6)
-   [ERNIE 5.0 0110 vs Qwen3.8 Max](https://noometry.com/compare/ernie-5-0-vs-qwen3-8-max)
-   [ERNIE 5.0 0110 vs GLM-5.3](https://noometry.com/compare/ernie-5-0-vs-glm-5-3)
-   [ERNIE 5.0 0110 vs Muse Spark 1.3](https://noometry.com/compare/ernie-5-0-vs-muse-spark-1-3)

## Other Baidu models

-   [ERNIE 5.1](https://noometry.com/models/ernie-5-1)43.8

## Frequently asked questions

### How good is ERNIE 5.0 0110?

ERNIE 5.0 0110 by Baidu ranks 129th of 354 ranked models on the Noometry Index as of October 2026, with a score of 41.8. Its strongest category is multilingual, where it ranks 49th.

### Is ERNIE 5.0 0110 open source?

Baidu has not published downloadable weights for ERNIE 5.0 0110 that we can confirm.

### What are ERNIE 5.0 0110's strengths and weaknesses?

Relative to other ranked models, ERNIE 5.0 0110 places best in multilingual, writing & preference, coding and lowest in reasoning, multimodal, knowledge.

### What is ERNIE 5.0 0110 best at?

Its best category is multilingual, where it ranks 49th on Noometry.

### Cite this page

Noometry. (2026). ERNIE 5.0 0110 benchmarks and pricing. Retrieved October 10, 2026, from https://noometry.com/models/ernie-5-0

Quote Noometry with a link back to this page. It is also available in [Markdown](https://noometry.com/md/models/ernie-5-0.md).