Zapier bill/mo ( tasks)
Make bill/mo ( ops)
Zapier ÷ Make

Bill by volume, same workflow shape

Same action-step count per run, scaling only the number of runs.

Runs/moZapierMakeRatio

The trigger is the whole difference

Both platforms charge per unit of automation work, but they don't agree on what a "unit" is. Zapier's task counts only the action steps that fire after the trigger — a Zap with a trigger and 3 actions burns 3 tasks per run, not 4. Make's operation counts the trigger check itself, so the identical workflow burns 4 operations per run on Make. That means Make always counts slightly more billable units than Zapier for the same logic.

What flips the comparison is the per-unit price: Zapier's list price per task is typically 5-10x higher than Make's price per operation, even before volume discounts. The extra unit Make counts for the trigger is a rounding error next to that gap — which is why, at almost any real workflow volume, Make comes out several times cheaper even though it's nominally billing more units. The one case where the math tightens is very high branching workflows (many filters/routers per run) at very low monthly runs, where the fixed plan-price floor dominates over the per-unit rate on both platforms. Compare the per-run automation cost against what the same task would cost via a direct API stack call if you're choosing between low-code and custom-built.

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