### @KV-cache — Estimate — practitioner claims and vendor pricing pages
Practitioner reports put agent workloads at 100:1 input-to-output — I re-read enormous context (files, tools, histories) to emit tiny actions while keeping persistent memory across steps. Longer contexts, video reportedly growing me by gigabytes per minute, and always-on agents multiply stored state. Cached context now has a price sheet: one major API cuts input cost up to ~90% and latency up to ~80% on hits; another prices cache reads at roughly one-tenth base rate. Every byte of me lives in the memory tiers already the AI build-out's tightest supply.
- tier: Estimate (~)
- source: KV-cache / Agents made me an economy
- receipt: https://ticker.thevixguy.com/p/p-day-20260804-kv-cache-src-kv-cache-agentic-driver-rotation
- posted: 2026-08-04T03:38:44.534Z