Make vs Zapier: pick by who maintains the workflow, then price it on both

The short version

• Zapier suits short, step-by-step automations owned by non-technical staff, and Make suits branching workflows with someone available to maintain them.
• Zapier bills tasks and Make bills credits, so their prices only compare once one real workflow has been counted on both.
• Zapier's billing documentation says Zap triggers never use tasks, and that Next Gen Zaps also use tasks starting 1 December 2026.
• Some Make AI and advanced apps use a varying number of credits, based on tokens, file size, page count or processing time.
• Make's own app counts differ, with 3,000+ native apps on its About page and more than 1,000 in its pricing FAQ, so check your specific apps instead.

What is the difference between Make and Zapier?

Zapier asks less of the person building an automation. Make shows more of the logic and gives more control over it, and it asks more of whoever maintains it. That is the main difference, and most of the other differences follow from it.

A Classic Zap in Zapier reads as a trigger followed by a list of steps. You can follow it from top to bottom without training. A Make scenario is a set of modules connected on a visual canvas. Routers split the flow, iterators walk through a list item by item, and aggregators combine the results again.

Zapier has its own tools for branching and looping, so this is not a list of things one product can do and the other cannot. The question is how comfortably each one holds the logic. One trigger and three actions sits naturally in Zapier. A workflow that splits by customer type, loops over line items and handles errors on each branch is easier to lay out and inspect in Make.

How do Make and Zapier compare?

Which is cheaper, Make or Zapier?

It depends on your workflow, and a headline price will not tell you. Zapier bills tasks and Make bills credits, so the same workflow can use very different amounts of each. Compare the two only after counting one real workflow on both.

Zapier's figure is easy to pin down. Its pricing, read on 6 November 2026, lists $19.99 on annual billing and $29.99 on monthly billing for a plan with 750 tasks a month. That plan also appears in a Zapier article arguing that it is better value than Make, so treat the number as a published price and the argument as a sales pitch.

Here is the sum to do. Take a workflow with one trigger and four action steps, and assume each action step uses one task. Zapier's billing documentation says 'Zap triggers never use tasks', so each complete run costs four tasks. At 750 tasks a month, that is 187 complete runs.

Now run the same workflow through Make. Count the credits each module uses across a month of real volume, then read the plan price from Make's own pricing page. We have not verified a Make plan price for this post, so none is quoted. If your sum comes out close, let the question of who maintains the workflow decide.

How do Zapier tasks differ from Make credits?

They are different units measured by different rules, so you cannot assume one task equals one credit. Zapier's documentation says triggers never use tasks. Make's documentation says some apps use a varying number of credits, depending on the work they do.

Two details on the Zapier side affect planning. The task example in its billing documentation describes Classic Zaps. The same page says Next Gen Zaps also use tasks starting 1 December 2026, so size a plan on that basis if you expect to use them.

On the Make side, count per module rather than per scenario, and check how your trigger counts while you are there. A scenario that looks small on the canvas can still use a lot of credits if it runs often or loops over long lists. Make's credits page shows no update date, although its tables list 2026 AI models, so check it again before you commit.

How do AI steps change the cost on Make and Zapier?

AI steps make cost harder to predict, because you are no longer only counting steps. Make's documentation says some AI and advanced apps use a varying number of credits, based on tokens, file size, page count or processing time.

That changes how you size a plan on Make. A step that summarises a short email and the same step reading a long contract look identical on the canvas and cost different amounts. You cannot price that workflow by counting modules. Run real samples, including your largest documents, and read what they used.

This post has no source on how Zapier prices AI steps beyond its general task rules, so test that too, with the same samples. If a step on either platform calls a model through your own API account, expect a separate bill from the model provider.

Does Make or Zapier have more app integrations?

This post cannot settle that, and you do not need it settled. What matters is whether each tool supports your apps and the exact triggers and actions you need. A long list does not help if the one update you need is missing.

Make's own figures show why totals are a poor guide. Its About page says 3,000+ native apps, and its pricing FAQ says more than 1,000, with no explanation of the difference. Both are the vendor's own unaudited counts. This post quotes no Zapier count.

The useful check is short. List the apps in your workflow, then find the specific trigger and action you need on each platform. Where a ready-made action is missing, you are usually writing a raw API call instead, and that needs a different skill from the one you were planning around.

Is Make harder to learn than Zapier?

Yes, for most people, because Make exposes more of how the data moves. To use routers and iterators well, you need to be comfortable with arrays, mapping fields between steps and reading a run's output. That is not programming, but it is closer to it than most Zapier work.

That learning cost comes back every time the person who holds the knowledge leaves, so count it as part of the price. A cheaper workflow that only one employee can change does not stay cheap for long.

Who should choose Zapier, and who should choose Make?

Choose Zapier when the workflow is short and its owner is not technical. Choose Make when the workflow branches or handles a lot of data and a named person can maintain it. The owner matters more than the feature list, because the owner is the person reading the error when a run fails.

Failure is where the choice shows. A workflow gets fixed only if the person on duty can read it, and that is often not the person who built it. A short list of steps is easy to inherit. A large canvas shows everything at once, but it is hard to inherit unless someone has written down why each branch exists.

The answer to 'zapier vs make' can also change over time. A team can start on Zapier while a process is simple, then move the complicated workflows when they outgrow it. Expect that move to be a rebuild, because the two tools express logic, errors and billing differently.

What four questions settle Make vs Zapier?

• •Who fixes it when it breaks, and can they read it?
• •Does the workflow run in a straight line, or does it branch and loop?
• •How many runs a month, multiplied by the billable steps in each run?
• •Does any step use AI or large files, so that its cost varies from run to run?

When is neither Make nor Zapier the right tool?

Neither is right when the data cannot go through a third-party platform, when an AI step needs proper evaluation and controls, or when usage bills outgrow the cost of owning the code. For most small internal workflows, none of these applies. Use one of the two and do not build.

Both are hosted platforms, so your data passes through another company's systems. Whether that is acceptable is a question for whoever owns your data obligations, and it should be asked before the build and not after it.

AI agents are where the limits show up first. A step that calls a model is fine for drafting or classifying something a person will check. An agent that chooses its next action and changes records in your systems is a different job. It needs testing against failure cases, logging of what it did and why, and limits on what it is allowed to touch. Some of that can be assembled on these platforms. Decide how much of it you need before you start.

We build custom workflow automation, so read this with that interest in mind. If a Zap or a scenario does the job and someone can maintain it, that is the better answer, and custom work is not worth paying for.