Agent costs and caching
Estimate the cost of a task, including retries and the cache assumptions behind it.
01 · Read the guide
How Prompt Caching Actually Works (And Why Yours Isn't) →Prompt caching can cut LLM cost by ~90% on repeated context — but only if you understand the prefix-match rule. Here are the silent invalidators that quietly drop your cache hit rate to zero.
02 · Try the tool
Calculate a task's token cost →Compare local scenarios with dated provider price sources.
One small test
Start with measured input and output tokens. Compare no-cache and cached runs, include retries, and keep infrastructure and tool charges separate.
Keep reading
- How Prompt Caching Actually Works (And Why Yours Isn't)
Prompt caching can cut LLM cost by ~90% on repeated context — but only if you understand the prefix-match rule. Here are the silent invalidators that quietly drop your cache hit rate to zero.
- How I Cut My LLM API Bill by 60% Without Touching My Agents
Real numbers from building production AI agents: the token-budget loops, model routing tricks, and cost audit habits that dropped my monthly LLM spend from $340 to $136.
- The Real Cost of Running a Personal AI Team (My Numbers)
An honest breakdown of what it actually costs per month to run a 7-agent autonomous AI system — LLM API spend, Cloud Run, Firestore, and the tools nobody talks about. Real numbers from a solo AI builder.
- Can Your AI App Afford a Free Tier? Budget the Outcome, Not the Chat
RevenueCat's subscription data explains the pressure on free AI. A practical guide to trial budgets, conversion, retention, and usage limits without confusing benchmarks with profit.