Make vs Zapier: choose for the workflow you actually need
Compare Make credits and Zapier tasks for one workflow, including polling, branching, free-plan limits, and the option to keep what you already use.
In this guide
Choose between Make and Zapier by checking the exact work you need done, then counting how each service bills that work. An app appearing in both directories does not establish that both can perform your required action.
Make is worth considering when you want to lay out several routes and follow the data through them. Zapier is worth considering when its connector fits your task well, especially if a polling trigger will spend much of its time finding nothing: those checks do not use Zapier tasks. Neither point establishes a universal winner.
If an app’s built-in automation, an already-paid plan, or a maintained script on suitable existing hosting already does the job, you may need neither subscription. Include that option before comparing new purchases.
This comparison is for someone who can name one input, the desired output, and an approximate monthly volume. The result is a shortlist and a usage estimate, ready for a small test in your own approved test environment.
Compare the same job
Write your requirement in one sentence. For example: “For each new form submission, add a spreadsheet row and send one internal notification.” Then add the number of submissions, acceptable delay, and any exceptions.
Open the Make integration directory and Zapier app directory. Look up the source app’s exact trigger—the event that starts the automation—and the destination app’s exact action. Check that each exposes the fields you need and that your app account permits the connection. If a required action or field is absent, stop comparing headline prices until you have a supported way to perform it.
Plan details below were checked on September 25, 2026. A scenario is Make’s name for a workflow; a Zap is Zapier’s.
| Decision point | Make | Zapier |
|---|---|---|
| Ordinary billing unit | Credits consumed by module work; most non-AI operations use one credit | Tasks consumed by successful actions; some products have different rates |
| Scheduled checking for new data, called polling | A standard trigger check uses a credit even when empty | Trigger checks do not use tasks |
| Conditional routes | Routers themselves use no credits; filters control which work runs | Filter and Paths steps themselves use no tasks |
| Work after a branch | Count the modules that process the data on every matching route | Count successful actions on every matching path |
| Free-plan starting boundary | 1,000 credits/month, two active scenarios, scheduled runs at least 15 minutes apart | 100 tasks/month and two-step Zaps: a trigger and one action |
Make documents credits, polling, routers, and filters separately. Zapier’s rules are in its task guide. The free-plan boundaries come from the Make and Zapier pricing pages. A feature being free to count does not mean every plan includes it.
Count a month before comparing its price
Here is an illustrative calculation, not a completed integration. Assume 500 submissions in a 30-day month. Every submission produces one row and one notification. Each step uses an ordinary one-credit Make module or one-task Zapier action, with no searches, AI, retries, or extra processing.
| Way the input arrives | Make estimate | Zapier estimate |
|---|---|---|
| One instant trigger run for each submission | 500 trigger credits + 1,000 action credits = 1,500 credits | 500 × 2 successful actions = 1,000 tasks |
| One polling check every 15 minutes, all day | 30 × 24 × 4 checks + 1,000 action credits = 3,880 credits | 1,000 tasks; the checks add none |
An instant trigger receives an event when the source sends it. It is an option only if the particular integration supports it; changing a label in your estimate cannot turn a polling trigger into one.
If 100 submissions also need a third action on a conditional branch, add 100 ordinary credits or tasks. If two branches both match, count both. If one input expands into ten items, count the downstream work on all ten. This is why the number of boxes in an editor is not a monthly bill.
The units in the table are different products, so “1,500 is more than 1,000” tells you nothing about which subscription costs less. Open each pricing page with an allowance large enough for its estimate. Match the payment term and currency, record the full amount due, and check taxes and charges from the connected apps separately. The example’s two actions also exceed the two-step structure of Zapier Free.
If Make remains on your shortlist, the Make pricing guide takes the credit estimate through feature-plan and billing-term checks.
Include the cost of keeping it working
For either shortlist candidate, identify who will check failures, reconnect expired app permissions, and repair a mapping when a source field changes. Make that person part of the decision: an unfamiliar workflow that nobody can maintain is a poor saving.
Keep some room for tests, bursts, and reprocessing. In Zapier, a previously successful action can consume another task when an entire run is replayed. AI and code steps can also follow different rates from the ordinary actions above. Check those rates separately instead of multiplying every step by one. Both points are covered in the task usage rules; Make documents its exceptions in Credits.
Before paying, record what happens at the allowance limit. Check Make’s extra-credit settings and Zapier’s pay-per-task setting: automatic additional spending and held work have different consequences. Do not enable either merely to complete a comparison.
Make the next decision small
Your shortlist is ready when one option supports every required trigger and action, its delay is acceptable, and its allowance fits your estimate with room for ordinary variation. Keep your current solution if it already meets those conditions at an acceptable maintenance cost.
If you already have an authorized test environment, the next check is one synthetic record through the selected integration. Confirm both destination results and the recorded usage before expanding it. A connector listing or this calculation cannot establish that your own fields, account permissions, and error handling work together.
Sources and useful links
- Make operations and bundles: how one input can produce several downstream module runs.
- Make credits: fixed rates and usage-dependent exceptions.
- Make scheduling: how polling frequency affects trigger credits.
- Zapier task accounting: successful actions, polling, exceptions, and allowance behavior.
- Make pricing and Zapier pricing: check the required features, selected allowance, and payment term before committing.