Zhang Ping’an, Executive Director of Huawei, CEO of Huawei Cloud, unveiled Pangu Models 5.5 during his HDC 2025 keynote, featuring significant upgrades across five capabilities: natural language processing (NLP), computer vision (CV), multi-modal, prediction and scientific computing. Ping’an also showcased Pangu Models’ transformative applications in the agriculture, manufacturing and scientific research sectors.
Huawei Cloud’s Pangu Models focus on industry-facing applications. Pangu Models help customers tackle the most challenging issues in their specific scenarios and reimagine both operations and efficiency across numerous industries. Pangu Models 5.5 have been fully upgraded to deliver new value for industries.
Pangu Natural Language Processing (NLP) Model: The new 718B deep thinking model is a MoE model consisting of 256 experts. It has been drastically enhanced in knowledge reasoning, tool invoking and mathematics, and it is among the industry’s top-ranking models.
Pangu Models 5.5 have been upgraded to improve user experience in long-sequence processing, low hallucinations, integrated fast and slow thinking and agents. For example, Pangu enables the technology of adaptive fast and slow thinking integration. By building difficulty-aware fast and slow thinking data and adopting two-phased progressive training, the model can adaptively switch between fast and slow thinking based on the difficulty of problems. In this way, the model can provide agile replies to simple problems and perform deep thinking on complex problems, improving the overall model inference efficiency by eight times.
The Pangu DeepDiver uses key technologies such as long-chain problem synthesis and progressive rewards to achieve highly efficient execution in web page search and common Q&A. For example, DeepDiver can complete a more than 10-step complex Q&A within five minutes, and generate professional survey reports of over 10,000 words, greatly improving work efficiency for users.
Pangu Models aim to help industry customers build their own models without ‘reinventing the wheel’. Huawei Cloud provides enterprises with six core capabilities: Pangu foundation and industry-specific models, pre-training and post-training corpus, data engineering tool sets, model training tool sets, industry-specific judge models and industry-specific evaluation platforms. With Huawei Cloud ModelArts, enterprises can perform high-quality training, fine-tuning and reinforcement learning on their accumulated data assets, in this way quickly building their own professional models.
The Chinese Academy of Agricultural Sciences (CAAS) has trained Pangu foundation models using large volumes of professional literature and cross-species multi-omics data in order to build its own Agricultural Scientific Discovery Model focused on scientific crop breeding. This model implements precise agricultural knowledge Q&A, efficient genetic analysis and targeted site design to shorten the early R&D cycle and help researchers more accurately improve the target traits of crops. The CAAS team has already been successful in improving a rice strain based on the intelligent agricultural research system enabled by the Agricultural Scientific Discovery Model. This has led to the plant height being reduced by around 25% compared with conventional rice strains, while significantly improving lodging resistance and maintaining the same yield.
