No, I would not suggest swapping to Hermes or Claude Code either. What made the difference in our OpenClaw cost base was not a model swap. It was architectural discipline: detached, trigger-based processes running continuously, 智能路由 that sends the right 财务 task to the right model, and clear segmentation so the agent books, reconciles, and reports from proper source documents rather than guessing like an untrained intern. In our case, token burn dropped from the equivalent of 34 billion per month down to 1.5 billion, and now sits near 0.75 billion. That is a real 损益表 and balance-sheet impact, not a benchmark bragging right.
OpenCode 代理 is a useful fallback for troubleshooting, more reliable than Hermes, cheaper than Claude Code, and comparable in stability to Grok 代理. Even so, OpenClaw still fills gaps that OpenCode does not. So this is not a vendor contest. For AINNA's 中小企业 clients, it is a 系统 设计 contest. Throwing expensive models at messy 财务 data does not fix bad ledgers. Better process architecture does, and that is where measurable ROI lives.
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关于what made the difference的实际落地部分最吸引我。
这篇文章对trigger-based的解释很清楚，实际操作的重点也很容易理解。
这篇文章把now sits near 34 billion讲得比一般的AI介绍更具体。
如果可以继续说明throwing expensive models at messy的真实案例，我会想继续阅读。