Tools · Cost cap
AI Feature Cost Estimator
Before you ship an LLM feature, know what it costs at scale. Put in the traffic and the token shape; get cost per request, per month, and per year. Token rates are editable — set them to your provider’s current pricing.
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How it works: monthly cost = requests × (input tokens × input rate + output tokens × output rate) ÷ 1,000,000. Deterministic from published per-token pricing — it doesn’t model caching, batch discounts, or retries, so treat it as the floor of a budget, not the ceiling. The math runs in your browser; nothing is sent anywhere unless you ask for the readout below.
Want this estimate as a one-page readout?
Leave an email and I'll send back your numbers with the three things I'd check before you build — the cost levers, the caching this floor doesn't model, and where the budget breaks first. Written by me, not a sequence. Usually within a day.
Want this number capped in your app, not just estimated? The one-week Readiness Assessment models cost and latency against your real traffic and hands you a decision-first spec — $5,000 fixed, useful even if you build without me.