Zapier vs Make: Which No-Code Platform Should You Choose in 2026?
Zapier vs Make compared for 2026: pricing tiers, the credit vs task cost models, integration counts, and AI tools, so you pick the right automation platform.
If your search has narrowed down to two names, this is probably where you landed: Zapier, the platform almost everyone has already heard of, and Make, the one people keep telling you is cheaper. Both connect your apps and run workflows without writing code. Both can post a Slack message when a form gets submitted or push a new lead into your CRM the moment it arrives. The differences that actually matter show up once you look past the marketing pages and into how each platform charges you, and how each one behaves once a workflow grows past two or three steps.
This piece isn’t a three-way shootout. If you want n8n in the mix too, that ground is covered in Make vs Zapier vs n8n. Here we’re going deeper on just these two, because the choice between them turns on specifics a broader comparison can’t spend enough words on: how a credit actually gets consumed, what happens to your bill once a workflow scales past a handful of runs a day, and which builder actually helps you catch a broken step before it becomes a support ticket.
Pricing at comparable usage levels
Both platforms lead with a free tier, and both free tiers are built to get you hooked rather than to run your business on.
Zapier’s Free plan gives you 100 tasks a month, but restricts you to two-step Zaps: one trigger, one action. That’s fine for testing an idea, not for anything with a filter, a delay, or a second action. Once you need more, Zapier Professional runs $29.99/month billed monthly or $19.99/month billed annually, and includes 750+ tasks, multi-step Zaps, webhooks, filters, paths, and AI fields. Step up to Team at $103.50/month monthly or $69/month annually and you get 2,000+ tasks, room for 25 users, and SSO. Enterprise pricing is custom and negotiated directly.
Make’s Free plan gives you 1,000 credits a month across up to 2 active scenarios, but caps how often a scenario can run at a 15-minute minimum interval, so real-time triggers aren’t part of the free tier. Make Core costs $9/month billed annually and unlocks 10,000 credits, unlimited scenarios, a 1-minute minimum interval, and API access. Pro, at $16/month annually, adds full execution logs, custom variables, and priority execution. Teams, at $29/month annually, adds shared templates and role management for larger groups.
Line the entry paid tiers up side by side and the gap is obvious: Zapier Professional at $19.99/month annual versus Make Core at $9/month annual. Even Make Pro at $16/month, which adds features Zapier doesn’t offer until you’re deep into its plan structure, still undercuts Zapier’s cheapest paid tier. That gap only widens as usage grows, for reasons that have less to do with sticker price and more to do with how each platform counts what you’re actually paying for.
The real difference: credits vs. tasks
This is the part that trips people up when they compare the two platforms on price alone, because the unit being sold isn’t the same thing.
Zapier charges per completed action step. Every time an action in a Zap runs successfully, that’s one task, and overages are billed at 1.25x your plan’s per-task rate once you’re past your allotment, with automation pausing entirely once you hit 3x your limit. Make charges per credit, and every step in a scenario, whether it’s the trigger, an action, or a router, consumes one credit when it executes.
Here’s what that looks like on an actual workflow instead of in the abstract. Say you build an automation that watches a form submission, checks a condition, updates a CRM record, sends a Slack notification, logs the entry to a spreadsheet, and sends a confirmation email. That’s a trigger plus five action steps, and it runs 500 times in a month, which is a realistic volume for a small team’s lead-intake process.
On Zapier, only the action steps count as tasks, so five tasks per run times 500 runs works out to 2,500 tasks for the month. That blows past the Professional plan’s 750-task allotment by a wide margin, meaning you’re either eating overage charges at 1.25x or upgrading to Team just to keep that one workflow running comfortably.
On Make, every step in the scenario consumes a credit, including the trigger, so six credits per run times 500 runs comes to 3,000 credits for the month. That fits comfortably inside the Core plan’s 10,000-credit allowance, with room left over for other scenarios, all for $9/month.
The pattern holds generally: Make’s per-step credit cost tends to scale more gently for multi-step workflows run at moderate-to-high frequency, because you aren’t paying a premium tied to action count the way Zapier’s task model implicitly does. That flips for very simple, high-volume workflows, like a single-action Zap firing tens of thousands of times a month, where the two counts end up closer together. The bigger and more branched your workflow, the more the credit model tends to work in your favor.
Integration breadth: does the app-catalog gap matter to you
Zapier connects to more than 7,000 apps. Make connects to roughly 3,000. That’s a real gap, and it shows up most with smaller or niche SaaS tools, industry-specific software, and newer products that haven’t built a Make connector yet but show up in Zapier’s directory within weeks of launching.
For the tools most small businesses run day to day, Google Workspace, Slack, HubSpot, Salesforce, Stripe, Airtable, Notion, both platforms have solid native support. Where the gap bites is the long tail: a regional accounting tool, a vertical-specific CRM, an internal ticketing system your industry happens to use. If your stack leans toward mainstream SaaS, the catalog difference rarely matters. If you rely on something obscure, check both directories before committing.
Make partially closes the gap for technically inclined users through its generic HTTP and webhook modules, which let you call almost any API directly even without a dedicated connector. That works, but it requires you to understand the target API’s authentication and request format, which is a meaningfully higher bar than picking an app from a dropdown.
Interface and usability: linear list vs. visual canvas
Zapier presents a Zap as a linear, top-to-bottom list: trigger, then action, then action, laid out like a form. It’s genuinely easy to start with. You can build a working two-step Zap in a couple of minutes without reading documentation, and Zapier’s tutorial library and community content are the most extensive in the category by a comfortable margin.
Make represents a scenario as a visual canvas: modules as nodes, connected by lines showing the flow of data between them, with branches and routers visible as actual forks in the diagram rather than nested settings buried inside a step. That upfront visual layer takes a little longer to click with on day one, but it pays off once a workflow has more than a handful of steps or any conditional branching. Being able to see the whole flow at a glance, instead of scrolling through a flat list guessing which step feeds which, makes Make noticeably easier to audit and debug once things get complicated. Neither interface is flashy by 2026 standards; both would benefit from a visual refresh. But Make’s canvas format is the one built around the shape of complex automation, while Zapier’s list format is built around getting a beginner to a working result fast.
AI capabilities: neither is the clear leader yet
Zapier has pushed hard on AI positioning, adding AI fields to paid plans and copilot-style tools that help draft a Zap from a plain-language description. It’s a real feature set, but in day-to-day use it still reads more like an add-on layered onto an existing workflow builder than a rebuilt-from-the-ground-up AI-native product.
Make hasn’t made AI a centerpiece of its roadmap in the same way. You can still wire an AI model into a scenario, most commonly by calling an OpenAI or Anthropic endpoint through an HTTP module or a dedicated AI app module, but there’s less native tooling holding your hand through it compared to Zapier’s more guided AI fields.
If AI orchestration specifically is your top priority, evaluate both on that basis directly rather than assuming either platform’s general reputation carries over. For the more common case of dropping a single AI step into an otherwise ordinary workflow, both platforms can get you there.
Zapier vs. Make at a glance
| Category | Zapier | Make |
|---|---|---|
| Free plan | $0/mo, 100 tasks, two-step Zaps only | $0/mo, 1,000 credits, 2 active scenarios, 15-min minimum interval |
| Entry paid plan | Professional: $19.99/mo (annual), 750+ tasks | Core: $9/mo (annual), 10,000 credits |
| Mid-tier plan | Team: $69/mo (annual), 2,000+ tasks, 25 users, SSO | Pro: $16/mo (annual), full execution logs, custom variables |
| Collaboration plan | Enterprise: custom pricing | Teams: $29/mo (annual), shared templates, role management |
| Billing unit | 1 task per completed action step | 1 credit per step executed |
| Overage handling | 1.25x rate; pauses at 3x limit | Plan upgrade or additional credit packs |
| Integrations | 7,000+ | 3,000+ |
| Builder style | Linear, top-to-bottom step list | Visual node canvas |
| Best for | Broadest app coverage, fastest onboarding | Cost efficiency at scale, visual debugging |
Which one should you choose
Choose Zapier if the app you need to connect is niche enough that you’re not sure Make supports it, if you or your team have zero patience for a learning curve and need a working automation in the next ten minutes, or if you’re already deep in Zapier’s ecosystem with Zaps that would be costly to rebuild elsewhere.
Choose Make if you’re cost-conscious and your workflows involve more than two or three steps, if you want to actually see the shape of your automation rather than scroll through a list to reconstruct it mentally, or if the specific apps you rely on are mainstream enough that Make’s smaller catalog isn’t a real constraint. For a team running several multi-step workflows at meaningful volume, the credit model alone can mean paying a fraction of what the equivalent task-based plan would cost on Zapier.
Neither answer is wrong. Plenty of teams run both for different jobs: Zapier for the odd integration only it supports, Make for the core, high-frequency workflows where the savings add up. If you’re choosing just one to start with, match it to whichever cost model punishes your workflow shape less, not to brand recognition alone.
FAQs
Is Make actually cheaper than Zapier for the same workflow?
For most multi-step workflows run at moderate to high frequency, yes. Make’s per-step credit model tends to scale more gently than Zapier’s per-task model as a workflow gains steps, since Zapier bills each action step as a task regardless of how simple or complex the overall automation is. The gap narrows for very simple, single-action workflows run at very high volume.
Which platform is easier to learn for a first-time user?
Zapier. Its linear, form-like builder gets a beginner to a working two-step automation faster than Make’s visual canvas, and its tutorial and community content library is larger and more mature. Make’s builder rewards a bit more upfront learning with easier debugging once workflows get complex.
Does Zapier’s larger integration library matter for most small businesses?
Often not as much as it seems. Both platforms cover mainstream SaaS tools like Google Workspace, Slack, HubSpot, and Stripe thoroughly. The gap shows up mainly with niche, regional, or industry-specific software that hasn’t built a Make connector yet. Check both app directories for your specific tools before deciding.
Can I run a realistic multi-step workflow on either platform’s free tier?
Not comfortably on Zapier, since its free plan limits you to two-step Zaps. Make’s free plan allows multi-step scenarios across up to 2 active scenarios, though it caps how often a scenario can run at a 15-minute minimum interval, so it’s better suited to testing than to time-sensitive automation.
Which platform handles errors and debugging better?
Make’s visual canvas makes it easier to spot where a scenario broke, since branches and modules are shown as connected nodes rather than a flat list. Full execution logs are included from the Pro plan up. Zapier’s linear layout is straightforward for simple Zaps but gets harder to trace once paths and filters are involved.
Does either platform have a meaningful AI advantage right now?
Not a decisive one. Zapier has invested more visibly in AI fields and copilot-style building tools, but it still functions as an addition to an existing product rather than a rebuilt AI-first workflow engine. Make can call external AI APIs through HTTP or app modules but offers less native AI-specific tooling out of the box.
