LLM Prompt Caching Can Cut Input Costs Up to 90%
LLM prompt caching can cut agent loop input costs up to 90%. Compare OpenAI, Anthropic, Gemini, and Bedrock on TTLs, breakpoints, and real savings math.
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LLM prompt caching can cut agent loop input costs up to 90%. Compare OpenAI, Anthropic, Gemini, and Bedrock on TTLs, breakpoints, and real savings math.
OpenRouter data shows AI agent token usage passed human traffic on February 6, 2025, with 14x growth and ~70 percent cached. Here is how to audit your mix.
Learn LLM context window management with a token budget ledger, a stepwise compression ladder, and the prompt cache trap that punishes trimming.