Cost dilemma for large model deployment spawns new platform roles
Since the third quarter of 2026, as the penetration rate of multimodal large models in finance, healthcare, manufacturing and other fields has risen rapidly, enterprise-level customers have become increasingly sensitive to API call costs. The traditional pay-per-use model has exposed pain points such as uncontrollable budgets and high cost fluctuations in large-scale deployment scenarios. Against this backdrop, multiple cloud service providers and AI infrastructure providers began to restructure the platform ecosystem, establishing aggregated AI hubs to centrally manage dispersed model resources and introducing a token wholesale model that allows enterprises to lock in long-term low prices through pre-purchasing or subscription. This change is seen as a key turning point for large models moving from 'trial' to 'production'.
Aggregated AI hub platform launched: Token wholesale and AI relay station dual drive
In mid-October 2026, the first AI hub platform jointly built by leading cloud providers and multiple model vendors was officially launched. The core highlight of the platform is the construction of a 'token relay station' network covering mainstream closed-source and open-source models. Enterprise users can access hundreds of models through a unified interface and obtain token quotas at wholesale prices. According to the platform operator, thanks to large-scale procurement agreements and underlying inference optimization, the platform can offer the cheapest token prices on the market, with the cost of calls for some long-tail models dropping by over 40% compared to direct purchase.
In addition, the platform has simultaneously opened its AI API relay station capabilities, supporting request forwarding in private deployment and hybrid cloud scenarios to ensure data stays within the domain. For small and medium developers, the platform also launched an 'AI channel agent' recruitment program, allowing partners to distribute token packages as agents and enjoy tiered commissions. This AI large model agency model lowers the barrier to ecosystem participation and enables more vertical industry solution providers to quickly integrate large model capabilities.
New policy regulations: API service compliance drives channel ecosystem restructuring
While platform innovation accelerates, in October 2026, the Cyberspace Administration of China and the Ministry of Industry and Information Technology jointly issued the 'Generative AI API Service Management Measures (Trial).' The new regulations explicitly require API service providers to implement traceable management of downstream calls and encourage traffic distribution and auditing through compliant token relay stations. This means that unauthorized direct-connection agency models will gradually exit the market, while certified AI channel agents will become mainstream.
An industry expert involved in policy discussions pointed out that the new regulations curb gray arbitrage activities on one hand, and on the other hand provide space for compliant development of formal AI hubs and token agency platforms. IT procurement heads at several large enterprises said they are making 'whether to connect to a compliant AI relay station' a hard criterion for selecting model vendors. This trend is expected to further activate demand in the token wholesale market, pushing the industry from 'on-demand scattered purchases' to a standardized 'wholesale subscription' model.
Industry outlook: Both cost and service matter, platform competition enters differentiation phase
With a series of platform announcements and policy implementations in October, the AI large model industry is shifting from a model capability competition to an ecosystem service competition. The era of simply competing on model benchmark scores is over; enterprises are more concerned with 'actual deployment costs' and 'channel compliance.' AI hub platforms, by integrating token wholesale, relay station compliance, and channel agent management, are becoming the core hub connecting model vendors and end customers.
It is foreseeable that within the next six months, more value-added services based on token agency will emerge, such as intelligent routing, failover, and cost optimization suggestions. For small and medium enterprises, achieving inclusive access to AI capabilities through the cheapest token combinations and efficient relay networks is no longer a distant prospect. The two-way drive of policy and market will accelerate China's large model industry into a mature stage.