CAICT: June Domestic Token Daily Average Consumption Reaches Approximately 500 Trillion, Nearly 4x That of December 2025
According to data from the China Academy of Information and Communications Technology (CAICT), the daily average token consumption in China reached approximately 500 trillion in June 2026, a nearly 4x increase compared to December 2025. MaaS platforms have become the primary supply channel for large model services.
Key Takeaways
- Key Highlight：According to data from the China Academy of Information and Communications Technology (CAICT), the daily average token consumption in China reached approximately 500 trillion in June 2026, a nearly 4x increase compared to December 2025. MaaS platforms have become the primary supply channel for large model services.
- Innovation & Tech：Highlights advancements in CAICT, June, Domestic, demonstrating rapid progress in model capabilities.
- Industry Impact：Reported via IT之家 (CN), offering actionable signals for developers and technology leaders.
Data released by the China Academy of Information and Communications Technology (CAICT) shows that the daily average token consumption in China reached approximately 500 trillion in June 2026, a nearly 4x increase compared to December 2025. This data reflects the accelerated transition of domestic large models from the technology R&D phase to large-scale application deployment, with token invocation volume now serving as a core indicator of large model industry activity.
Behind the explosive growth in token consumption is the rapid adoption of the MaaS (Model as a Service) model. An increasing number of vendors are providing large model capabilities to developers through public cloud APIs, lowering the barrier to entry for AI applications. This shift in supply methods means that large models are evolving from exclusive tools for a select few enterprises into infrastructure akin to cloud computing.
However, the rapid growth of token services has also brought new challenges. Users lack intuitive criteria for judging differences in response speed, stability, and cost-effectiveness across token services offered by different platforms, making selection a widespread problem. The CAICT Artificial Intelligence Research Institute has therefore begun establishing a service performance evaluation system, aiming to provide the industry with standardized measurement benchmarks.
From an industry perspective, the sustained rise in token consumption places higher demands on computing infrastructure. Large-scale token invocations mean a sharp increase in inference computing demand, which will further drive investment in AI inference chips and computing networks. Meanwhile, the token economy is forming new business models, and pay-per-invocation service models may reshape the profit structure of the AI industry.
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Industry Insights & Analysis
As artificial intelligence rapidly evolves, breakthroughs surrounding CAICT, June, Domestic, Token are shifting toward scalable, robust real-world implementations.
Driven by both open-source ecosystems and proprietary model architectures, the integration between compute optimization, data engineering, and agentic workflows is accelerating. This development provides a strategic benchmark for upcoming AI tooling and developer workflows.