📄 中文摘要
在对 AI API 调用进行审计时，发现每月支出高达 1200 美元，其中 70% 的请求都发送到了 GPT-4。许多任务其实可以由更便宜的模型完成，例如电子邮件摘要、工单分类和从文本中提取名称等，这些都不需要高达 0.03 美元/请求的 GPT-4。大多数 AI 应用程序将所有请求，包括简单请求，都发送到最昂贵的模型，这种做法类似于为了取信件而乘坐出租车。通过使用 TokenRouter，可以将这些简单任务的请求转发到更经济的模型，从而显著降低成本。
我通过一行代码将我的 LLM API 成本降低了 60%
出处: I Cut My LLM API Costs by 60% With One Line of Code
发布: 2026年3月27日
📄 English Summary
I Cut My LLM API Costs by 60% With One Line of Code
An audit of AI API calls revealed a monthly expenditure of $1,200, with 70% of requests directed to GPT-4. Many tasks, such as email summarization, ticket classification, and name extraction from text, do not require the capabilities of the expensive GPT-4 model, which costs $0.03 per request. Most AI applications send all requests, even simple ones, to the most expensive model, akin to taking a taxi to the mailbox. By implementing TokenRouter, these simpler tasks can be routed to more cost-effective models, significantly reducing expenses.