AI 正成为 AI 最大客户:OpenRouter 上智能体 token 用量激增 14 倍

The Decoder:AI News(RSS)·2026-08-23 18:02·2天前·Matthias Bastian
AI 导读

OpenRouter 分析师 Peter Walker 称,2026 年 2 月 6 日可能是人类消耗 token 量最后一次超过 AI 智能体。此后智能体 token 用量增长 14 倍,从 0.51 万亿增至 7.3 万亿,而人类用量仅增长 2.8 倍。近 70% 的智能体 token 消耗来自缓存提示词,计费费率更低,实际成本增速低于原始数字。

The Decoder:AI News(RSS)
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AI 正成为 AI 最大客户:OpenRouter 上智能体 token 用量激增 14 倍

2026-08-23 18:02· 2天前· Matthias Bastian
AI 导读

OpenRouter 分析师 Peter Walker 称,2026 年 2 月 6 日可能是人类消耗 token 量最后一次超过 AI 智能体。此后智能体 token 用量增长 14 倍,从 0.51 万亿增至 7.3 万亿,而人类用量仅增长 2.8 倍。近 70% 的智能体 token 消耗来自缓存提示词,计费费率更低,实际成本增速低于原始数字。

AI is using more and more AI. According to OpenRouter analyst Peter Walker, February 6, 2026, may have been the last day humans consumed more tokens than AI agents. Agentic token usage has grown 14x since then, while human usage is up just 2.8x. Agents increasingly work on their own over longer stretches, spinning up additional AI processes along the way. But nearly 70 percent of agent token usage comes from cached prompts, which are billed at much lower rates, so actual costs aren't rising as fast as the raw numbers suggest.

Since February 2026, token consumption by AI agents on OpenRouter has jumped from 0.51 trillion to 7.3 trillion tokens, a roughly 14x increase. Human usage grew just 2.8x over the same period. | Image: OpenRouter

OpenRouter skews toward open-weight models, which tend to be less token-efficient than models from OpenAI or Anthropic. But the trend likely looks similar at the major labs. Token inflation already started with reasoning models, which think longer before they respond even if they shouldn't.

Peter Walker

来源:The Decoder:AI News(RSS)· the-decoder.com