📄 中文摘要
在使用 LLM API 时，面对高昂的成本，尤其是免费用户的支出，作者分析了成本结构并提出了改进方案。通过实施提示缓存技术，避免每次调用时重复发送相同的系统提示，显著降低了费用。这种方法类似于不必为每节课购买新教科书，能够有效节省资源并提高效率。即使在低转换率的情况下，优化后的成本结构也能帮助实现可持续的商业模式。
我如何将 LLM API 成本降低了 88%
出处: How I Cut LLM API Costs by 88%
发布: 2026年2月25日
📄 English Summary
How I Cut LLM API Costs by 88%
Facing high costs associated with LLM API usage, especially for free users, the author analyzed the cost structure and proposed improvements. By implementing prompt caching, which prevents the need to resend the same system prompt for each API call, significant savings were achieved. This approach is akin to not having to purchase a new textbook for every class, effectively conserving resources and enhancing efficiency. Even with a low conversion rate, the optimized cost structure supports a sustainable business model.