How much does AI lead scoring cost per lead?
Before committing to a model, most sales and RevOps teams want to estimate AI lead-scoring cost per lead. This page does exactly that with an interactive calculator, so instead of guessing you get a concrete monthly cost grounded in today's provider prices.
Results update automatically as you type.
- Input cost
- $0.00250
- Output cost
- $0.00500
- Per request
- $0.00750
- Per day
- $7.50
- Per month
- $225.00
Why this isn't trivial
The part people underestimate: each lead's context (firmographics, activity) is modest input with a short score output, so volume of leads sets the bill. In practice the biggest savings come from scoring in batches and caching enrichment data, so it is worth modelling before you commit.
How it's calculated
We estimate this by estimating input context per lead and a short score output, applied per lead. Every figure uses the current provider prices baked into the site (reviewed daily), and you can override any input to match your own assumptions.
Frequently asked questions
Is lead scoring input or output heavy?+
Input-leaning — lead context is the bulk; the score itself is tiny.
How do I keep it cheap?+
Batch leads and reuse enrichment context rather than refetching per call.
Are these prices up to date?+
Yes. The model prices behind this calculator are refreshed and reviewed daily, so your estimate reflects current provider rates rather than a stale snapshot.
Related
Estimates for planning. Pricing data last reviewed 28 July 2026.