📄 中文摘要
随着产品的增长，LLM API 的费用不断攀升，许多企业面临着高昂的账单。数据显示，2026 年，平均 AI 驱动的 SaaS 产品将 30-50% 的基础设施预算用于 LLM API 调用。然而，许多开支是完全不必要的，主要原因在于大多数应用程序发送冗余查询、使用昂贵的模型处理简单任务，并传输过多的令牌。为了解决这一问题，采用更智能的使用方式至关重要。提供了五种经过实践验证的策略，可以在不降低质量的前提下，将 LLM API 成本降低 70-90%。
如何将 LLM API 成本降低 90%：有效的缓存、路由和提示工程
📄 English Summary
How to Cut Your LLM API Costs by 90%: Caching, Routing, and Prompt Engineering That Actually Work
The rising costs of LLM API usage are a common challenge for growing products, with many companies facing skyrocketing bills. By 2026, it is projected that the average AI-powered SaaS product will allocate 30-50% of its infrastructure budget to LLM API calls. However, much of this spending is unnecessary, primarily due to redundant queries, the use of expensive models for trivial tasks, and the transmission of excessive tokens. The solution lies not in using AI less, but in using it more intelligently. This guide presents five battle-tested strategies that can reduce LLM API costs by 70-90% without compromising quality.