The heat of large models in the financial industry is unprecedented, with banks, insurance companies, and brokerage firms all making moves. However, three major obstacles—immature technology, compliance restrictions, and a lack of use cases—constrain their application. Currently, large models are limited to shallow areas such as intelligent customer service in financial scenarios, remaining far from core business functions. The technology of large models itself has defects in accuracy and judgment, which do not meet the 100% accuracy requirements of the financial sector. The training and use of large models must comply with data security regulations and are affected by compliance restrictions. The promotion of large models requires rich use case support, but currently, financial scenarios are not diverse enough.