Rohan Paul (@rohanpaul_ai) · 2026/10/12 02:08:43
智能体集群驱动 Token 消耗激增：廉价模型承接主要流量，传统按席位定价模式面临失效风险
智能体集群架构通过将父代理的规划任务与子代理的窄域执行分离，使得大量可验证的低复杂度 Token 流向低成本模型。这种机制导致智能体 Token 消耗量呈指数级增长（半年内增长 14 倍），彻底打破了依赖人类提示频率预测推理成本的商业假设，迫使 AI 软件从固定订阅制转向基于实际用量的计量计费模式。
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Rohan Paul (@rohanpaul_ai) · 2026-10-11 18
Agent swarms send most new token volume to cheaper models, so agent token counts will outrun frontier-model revenue.
In a swarm, a parent agent plans while child agents handle narrow jobs like searching files or running tests. Narrow jobs are usually easy to check, so developers can route them to the cheapest model that passes.
And this massive token-explosion is also the major reason, flat-rate and per-seat pricing for AI software will give way to metering, because it relied on human prompting speed to cap usage. A person sends only so many prompts a day, so vendors could charge per user and still predict inference bills. But that equation will not hold with agent swarms working 24x7.
↳ 引用 @a16z (a16z): Your next users are machines
Agents burn nearly 5x the tokens people do, up 14x in six months
