My dad unexpectedly lost his job when I was little. After a few frantic months, he finally found a new one a few states away—and it even paid more. My parents were initially thrilled…only to realize, after we'd moved, that the cost of living in Chicago is much higher than in Oklahoma. (But I'll be forever grateful that my young parents' naiveté let me grow up in a much cooler place. No offense to any Oklahomans reading this.)
When evaluating automation platforms, it's best to apply the lesson my parents learned the hard way. Make's entry price compared to a Zapier plan might look like a straightforward bargain. But then you start building: every trigger, filter, router branch, and action is another step on the meter. Polling schedules burn credits even when nothing new happens—and a failed run can still cost you.
Zapier and Make can both power serious workflows, but they price and package value differently. Here's how to actually compare them, so you can pick the platform with the cost of living that lets your money stretch the farthest.
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Zapier vs. Make pricing at a glance: Where the money really goes
Zapier's pricing is predictable, and it has the widest library of pre-built connectors—so it usually wins on total cost of ownership once you factor in usage and maintenance.
Make does offer a lower entry-level plan, which works fine if your stack is supported and your automations stay small. But even at 10,000 credits/month, it's easy to hit your limit when everything from a trigger to a search module costs a credit each.
Zapier | Make | |
|---|---|---|
Pricing plans | Free plan available; paid plans from $19.99/month | Free plan available; Paid plans from $12/month |
Pricing unit | Tasks on completed work actions only | Credits per step (triggers, search modules, actions)—which add up fast |
Integration count | 9,000+ | 3,000+ |
Built-in form builder | Yes, included on every plan | No |
Built-in database | Yes, included on every plan | Yes, included on every plan |
Make's credit model looks more affordable than it is, while you only pay for completed work with Zapier
Make bills in credits tied to steps. In practice, that means every single step of a workflow uses a credit. Your trigger uses a credit, as do things like actions and search modules.
For the true price tag, it's important to factor in a few things:
Polling and schedules consume credits on a timer, even when no new data is waiting—so you pay for "checking," not just for outcomes.
Errors and test runs can draw down credits depending on what executed. That means diagnosing a broken scenario has a meter attached.
Some modules cost more than one credit (for example, heavy code execution or certain AI-related actions), which makes back-of-napkin math harder.
Zapier, on the other hand, only charges for tasks based on work actions—the operations that actually move your business forward. You won't have to pay for every internal platform step you use to get there.
Filters, formatting, paths, and many other platform operations don't consume tasks in Zapier the way Make consumes credits for analogous steps. That can make a big difference when you're iterating: you can add guardrails and branching without automatically increasing your bill at each fork.
Similarly, when using Zapier Tables or Zapier Forms in your Zaps, neither triggers nor actions count toward your task usage. This lets organizations run high-volume data workflows and support agent-powered automations without driving up task consumption—which is ideal for enterprise-wide automation.
Function | Zapier | Make |
|---|---|---|
Filtering and formatting data | ♾️ Unlimited | ♾️ Unlimited |
Testing a workflow step | ♾️ Unlimited | Credits used |
Checking for new data in your trigger app | ♾️ Unlimited | Credits used |
Getting an error on a step | ♾️ Unlimited | Credits used |
Referencing data in built-in tables | ♾️ Unlimited | Credits used |
Executing an action in an integrated app | Tasks used | Credits used |
Imagine you build a workflow in Make that polls an API every five minutes. It can spend 20 credits per hour just checking for new data, whether or not anything arrives. The same workflow in Zapier might use a polling webhook trigger (no tasks until something happens) plus free filtering—so you only pay when there's actual work to do, not on an empty loop.
Make's pricing model incentivizes a less robust workflow, since you'd probably choose to poll the API every hour (or even every day) to save credits. But a workflow like that would have a much slower reaction time. And I heard someone say once that time is money.
Zapier also bills AI-powered tasks the same as non-AI tasks, which avoids a second layer of surprise when you add intelligence to a step. If you exceed your included tasks, you can usually buy additional tasks without jumping to the next plan tier. That option is useful when you have a short usage spike instead of a permanent upgrade.
For a deeper walkthrough of Make's tiers and credit math, see Make.com pricing: Is it worth it?
Zapier's integration library is in a different league
Value isn't only about pricing. As a runner and yoga enthusiast, a gym that costs $5/day is a no-go if it only has one sad exercise bike and a few rusty free weights. I'd still choose the $10/day gym with the workout equipment and classes I'm looking for.
In other words, a major factor in value is whether the automation platform integrates with the apps you use. Zapier offers 9,000+ pre-built integrations—and Make doesn't even have half that number.
That's the kind of gap you'll notice when you adopt a newer ATS, a niche industry tool, or a long-tail SaaS product. When you choose Zapier, you'll spend less time fruitlessly searching for integrations, sighing in defeat, and finally wiring custom HTTP modules.
Zapier connects your AI to your apps, while Make's MCP runs your existing scenarios
Both Zapier and Make have MCP support (so you can take actions in your tools from AI apps like Claude or ChatGPT), but they work very differently. Make's MCP server lets an AI client run scenarios you've already built in Make. You still have to build and maintain those scenarios first, and then the AI just executes them on demand.
Zapier MCP skips that step entirely. Connect it to Claude or ChatGPT once, and your AI has direct access to 9,000+ apps without building any workflows first. You choose which apps and actions the AI can access—like drafting a Google Doc, updating an Excel spreadsheet, or sending a Slack message—and then, when you tell the AI what to do, it just does it. And every action shows up in your history log.
If your team is already deep in Make's scenario library, that distinction might not matter much. But it's a big deal for anyone who wants their AI to act across their entire app stack without building the scaffolding to get there first.
Zapier offers advanced governance and credential security
It might not be flashy or high up on the feature list, but how each platform handles your credentials is the whole ballgame. If visibility and access control factor into your decision alongside monthly cost, it's worth building into the comparison.
Zapier uses OAuth-managed connections across all 9,000+ apps. Your credentials are never passed directly to your workflows or exposed to the tools running them. Just connect once, control access in one place, and you can revoke it just as quickly. Zapier MCP carries the same model: when your AI takes action through Zapier, it's operating through the same governed, OAuth-managed connections. Zapier's infrastructure is SOC 2 Type II certified.
Make handles authentication at the connection level. Scenarios reuse those connections, but access management can feel more distributed compared to platforms with centralized governance—especially when it comes to auditing or controlling what automations can access at scale.
Zapier vs. Make: Which is the better value?
If you're deciding purely on the headline monthly price, you might pick Make—just like my parents saw a bigger paycheck and started packing boxes. But once you're actually living inside the Make platform, the meter is always running. Every trigger, filter, and router branch adds up, and failed runs still cost you.
If you're deciding on value returned for dollars and hours spent—including usage surprises, integration coverage, governance, and feature set—Zapier is the better default for most organizations. The cost of living is just lower.
Choose Zapier when you want predictable automation costs tied to outcomes, the widest integration catalog, Tables included on all plans, and a path for non-technical builders to build safely with AI (without living in a credits dashboard).
For the full feature-by-feature breakdown, read Zapier vs. Make: Which is best?
Related reading:
This article was originally published in April 2026. The most recent update was in May 2026.
