TL;DR Caching in AI gateways is not one feature. It's two: L1 — Result cache skips the upstream model entirely. 100% savings per hit. L2 — Prompt cache (vendor-native) reduces cached input token cost 50-90%, but still calls the model. Most teams on OpenRouter, Portkey, or similar gateways get only L2. Adding L1 (Helicone or self-hosted Redis) compounds the savings. Real production math: a ty
AI Gateway Caching Explained — Why L1 + L2 Cache Layers Cut 90% of Your LLM Bill
tokenmixai·Dev.to··1 min read
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