#Prompt Caching

The Prompt Cache Trick That Cut Our AI Bill by 90%

A practical systems guide to prompt caching architecture in 2026. We explain KV-cache prefix alignment, deterministic message structuring, cache lifetime optimization, and real-world billing reductions across OpenAI, Claude, and Gemini.

Context Window Wars: Do You Actually Need a Massive Context Model?

2M-10M token context windows vs retrieval accuracy. Why 'Needle in a Haystack' decay, prefill latency penalties, and financial token costs make RAG + prompt caching the smarter 2026 choice.

Prompt Caching Across Providers: A Real Cost Comparison for a Chat App

Cut prefill costs by 50-90%. A benchmark comparison of Anthropic explicit cache_control, OpenAI automatic prefix caching, and Google Gemini context caching.

1M Token Context Windows Are Table Stakes Now: So What Still Differentiates? (2026)