Identity
- Type
- big tech
- Country label
- China
- HQ country
- China
- Founding country
- China
- Parent
- not in the notes
- Parent country
- not in the notes
- Country basis
- the research notes
Where this comes from
Convention D1: a dual label, HQ first, when the HQ, founding or parent country differ.
Models by Class
Models
ModelClassOpennessParametersReleased
Pangu 5.5LLMJun 2025
Pangu-Weatherweather5 Jul 2023
Pangu Mine ModelLLM2023
SNN-MLPvision28 Mar 2022
GhostNetvision27 Nov 2019
QiYao-MECNU, Huawei (Huawei Cloud)time series–
Pangu 5.5 NLPLLM–
Pangu CVvision–
Pangu Multimodal and World Modelworld model–
Pangu Prediction Modeltime series–Links
Organisation
Huawei (Huawei Cloud)big tech, China
Huawei (Huawei Cloud)big tech, ChinaModels
Pangu 5.5Huawei (Huawei Cloud), LLM
Pangu-WeatherHuawei (Huawei Cloud), weather
Pangu Mine ModelHuawei (Huawei Cloud), LLM
SNN-MLPHuawei (Huawei Cloud), vision+6 more
Pangu 5.5Huawei (Huawei Cloud), LLM
Pangu-WeatherHuawei (Huawei Cloud), weather
Pangu Mine ModelHuawei (Huawei Cloud), LLM
SNN-MLPHuawei (Huawei Cloud), vision+6 moreModels 10
Pangu Prediction ModelHuawei (Huawei Cloud), time seriesDeveloper
Pangu 5.5Huawei (Huawei Cloud), LLMDeveloper
Pangu CVHuawei (Huawei Cloud), visionDeveloper
Pangu Multimodal and World ModelHuawei (Huawei Cloud), world modelDeveloper
Pangu 5.5 NLPHuawei (Huawei Cloud), LLMDeveloper
Pangu Mine ModelHuawei (Huawei Cloud), LLMDeveloper
QiYao-MECNU, Huawei (Huawei Cloud), time seriesDeveloper
GhostNetHuawei (Huawei Cloud), visionDeveloper
Pangu-WeatherHuawei (Huawei Cloud), weatherDeveloper
SNN-MLPHuawei (Huawei Cloud), visionDeveloperScores
| Benchmark | Model | Score | Who ran it | Setting |
|---|---|---|---|---|
| GIFT-Eval | QiYao-M | 0.461 CRPS (geo-mean, normalised to Seasonal Naive) | independent | pretrained; rank is average CRPS rank |
| GIFT-Eval | QiYao-M | 0.671 MASE (geo-mean, normalised to Seasonal Naive) | independent | pretrained |
| WeatherBench 2 | Pangu-Weather | 1.766 RMSE K | maintainer-run | T850 day 5, deterministic, Pangu-Weather (oper.) vs Analysis |
| WeatherBench 2 | Pangu-Weather | 133.8 RMSE m2/s2 | maintainer-run | Z500 day 3, deterministic, Pangu-Weather vs ERA5 |
| WeatherBench 2 | Pangu-Weather | 138.4 RMSE m2/s2 | maintainer-run | Z500 day 3, deterministic, Pangu-Weather (oper.) vs Analysis |
| WeatherBench 2 | Pangu-Weather | 294.3 RMSE m2/s2 | maintainer-run | Z500 day 5, deterministic, Pangu-Weather vs ERA5 |
| WeatherBench 2 | Pangu-Weather | 3.573 RMSE K | maintainer-run | T850 day 10, deterministic, Pangu-Weather (oper.) vs Analysis |
| WeatherBench 2 | Pangu-Weather | 304.4 RMSE m2/s2 | maintainer-run | Z500 day 5, deterministic, Pangu-Weather (oper.) vs Analysis |
| WeatherBench 2 | Pangu-Weather | 44.3 RMSE m2/s2 | maintainer-run | Z500 day 1, deterministic, Pangu-Weather vs ERA5 |
| WeatherBench 2 | Pangu-Weather | 45 RMSE m2/s2 | maintainer-run | Z500 day 1, deterministic, Pangu-Weather (oper.) vs Analysis |
| WeatherBench 2 | Pangu-Weather | 778.2 RMSE m2/s2 | maintainer-run | Z500 day 10, deterministic, Pangu-Weather vs ERA5 |
| WeatherBench 2 | Pangu-Weather | 799.8 RMSE m2/s2 | maintainer-run | Z500 day 10, deterministic, Pangu-Weather (oper.) vs Analysis |
Where this comes from
Every recorded score of this organisation's models, with who ran it. Scores from different settings are not directly comparable.
Sources
- GitHub - 198808xc/Pangu-Weather: An official implementation of Pangu-Weather github.com https://github.com/198808xc/Pangu-Weather
- aimagazine.com/articles/how-huawei-pangu-5-5-ai-models-trans... https://aimagazine.com/articles/how-huawei-pangu-5-5-ai-models-transform-industry-operations
- Cross-industry use cases for Huawei’s Pangu Models 5.5 showcased – Intelligent CIO APAC intelligentcio.com https://www.intelligentcio.com/apac/2025/06/24/cross-industry-use-cases-for-huaweis-pangu-models-5-5-showcased/
- Mining Technology mining-technology.com https://www.mining-technology.com/newsletters/huaweis-pangu-5-5-ai-intelligent-mining-in-action
- Indosat Ooredoo Hutchison Unveils the Largest Digital Intelligence Operations Center in Southeast East Asia, Marking a New Era in Intelligen lightreading.com https://www.lightreading.com/ai-machine-learning/indosat-ooredoo-hutchison-unveils-the-largest-digital-intelligence-operations-center-in-southeast-east-asia-marking-a-new-era-in-intelligence-native-telco
- Over 30 AI models have been trained at the scale of GPT-4 epoch.ai https://epoch.ai/data-insights/models-over-1e25-flop
To cite this page: Project AURION, AI Use-Cases Research & Innovation, "Huawei (Huawei Cloud)", https://aurion.semai.id/organisations/huawei/, records of October 2026.


