Top LLM Gateways That Support Semantic Caching in 2026

Let me ask you something. How many times a day do your users ask your LLM app the same question, worded differently? "What is RAG?" and "Explain retrieval augmented generation to me" are the same question. You know it. I know it. But your LLM provider does not care. It charges you for both. Twice the tokens, twice the latency, same answer. This is where semantic caching comes in, and if you have not explored it yet, let me walk you through it before we look at the tools. TL;DR: Semantic caching matches LLM prompts by meaning, not exact strings, so rephrased questions return cached responses instead of burning tokens. I compared four tools that support it in 2026: Bifrost (fastest, most complete caching), LiteLLM (widest provider support), Kong AI Gateway (enterprise plugin), and GPTCache (standalone library). The right pick depends on your stack and what you need beyond caching. If you know what an LLM API call costs and have dealt with caching before, you are in the right place. What