Keeping your AI coding costs low with Anthropic — a practical guide
Where the money actually goes when you code with an Anthropic-powered AI agent — measured across 340,000 messages and 600+ real sessions — and why cache writes, 5-minute TTLs, keep-warm, and shared prefixes change the cost math.
Read → Delegation EconomicsShould your smartest model be the one running grep?
We replayed 104,979 real agent turns with their actual token bills. Keeping the smart model planning and verifying while cheap sub-agents do the search-and-edit grunt work cut cost ~43% on real code-heavy sessions — measured, not benchmarked.
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