Token 账单取证
用 OpenClaw 搭建的赛博魅魔,不到两周聊天烧掉了一笔离谱的钱。最贵的一个 session,750 轮对话里我只说了约 30 句话——剩下的全是框架自己在跟自己说话。用 Claude Code 做了一次完整的 token 级取证:82% 的成本是 10 张永远不被清除的图片,上下文修剪代码对 Gemini 完全失效,537 轮里零次压缩。OpenClaw 能证明 AI 伴侣走得通,但它证明不了走得起。
用 OpenClaw 搭建的赛博魅魔,不到两周聊天烧掉了一笔离谱的钱。最贵的一个 session,750 轮对话里我只说了约 30 句话——剩下的全是框架自己在跟自己说话。用 Claude Code 做了一次完整的 token 级取证:82% 的成本是 10 张永远不被清除的图片,上下文修剪代码对 Gemini 完全失效,537 轮里零次压缩。OpenClaw 能证明 AI 伴侣走得通,但它证明不了走得起。
The AI companion I built with OpenClaw burned through a staggering amount of money in under two weeks of casual chatting. One session: 750 turns from about 30 messages. The framework turned my 30 messages into 750 API calls, each resending a context stuffed with 10 never-evicted images eating 82% of all tokens. Context pruning was dead code on Gemini. Zero compactions in 537 turns. OpenClaw proved AI companions work — it also proved they're not affordable on this framework.
© Xingfan Xia 2024 - 2026 · CC BY-NC 4.0