#API成本优化
3 related articles
·3 min
Prompt Caching: The API Cost Killer 90% of Developers Overlook
Prompt caching saves ~90% on repeated input tokens—the highest-leverage cost optimization on LLM APIs. Learn stable prefixes, real cost math, 5 prompt rules, and hit-rate debugging.
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·2 min
Prompt Caching Compared: Pricing, TTL, and Integration Guide Across Seven AI Providers
A cross-provider comparison of Prompt Caching across OpenAI, Anthropic, Gemini, DeepSeek, Mistral, xAI, and Qwen—covering pricing discounts, TTL, and integration methods. Reusing a 100K-token prefix can cut costs by 71%–93%, with selection and deployment advice included.
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·3 min
The Hidden Costs of AI APIs: Context Bloat, Rate Limiting, and Model Drift
Low prices on AI API pricing pages can be misleading. This article breaks down six hidden costs — context bloat, rate-limit retries, output token premiums, model drift, and vendor lock-in — and offers practical strategies like caching, model tiering, and daily reconciliation.
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