The president of ByteDance's Volcanic Engine, Tan Dai, disclosed the latest usage data of its Doubao large model at an event. Surprisingly, the token usage (the text unit of large models) of the Doubao large model increased from 120 billion tokens in May 2024 to over 3 trillion tokens in September 2025, representing a staggering growth of 253 times.
This data not only demonstrates the rapid popularity of the Doubao large model in the market but also reflects its potential for application across various industries. With the continuous advancement of AI technology, more and more companies are relying on large models to enhance work efficiency and innovation. The success of the Doubao large model marks that ByteDance's technical strength in the field of artificial intelligence has been widely recognized.
Tan Dai further pointed out at the launch event that Volcanic Engine is committed to promoting continuous technological innovation and providing better AI solutions for customers. He stated that the rapid growth of the Doubao large model is not only due to continuous technological iteration but also the strong rebound of market demand. With the acceleration of digital transformation, the demand for intelligent solutions among enterprises is increasing, and Volcanic Engine has seized this trend, further driving the usage of its products.
Through these data, it can be seen that the application of the Doubao large model is expanding in multiple fields, from content generation to intelligent customer service, and data analysis, etc. Its wide applicability has enabled enterprises to achieve higher productivity. Nowadays, the Doubao large model has become an important tool for many enterprises to enhance their competitiveness.
Through the success of the Doubao large model, ByteDance has not only enhanced its influence in the AI field, but also provided inspiration for more enterprises on how to use large model technology to achieve digital transformation and business growth, which will become the key to future development.
