Make vs Zapier
Both automate workflows across your apps, but they bill differently and aim at different users: Make is the leaner, more visual engine, Zapier is the easiest and most connected. Here is how they compare on pricing, power, app breadth, and reviews.
By Kshitij Maheshwari, co-founder · Updated June 2026
Same job, different billing meter
Both connect your apps and run automated workflows. They split on how they meter usage, and that meter decides the cost.
A visual scenario canvas with routers, iterators, and granular error handling. Each module run is one operation (now marketed as a credit), and the per-unit price is low.
The easiest builder and the widest app catalog at 8,000+. Each successful action step is one task, and the task price climbs as volume and step count grow.
- ✓You run complex, multi-step, data-heavy automations
- ✓You want a visual canvas and lower cost at volume
- ✓Someone on the team can absorb a steeper learning curve
- ✓You want the fastest path to a working automation
- ✓You need the widest app catalog for niche tools
- ✓Most of your work is simple app-to-app glue
Short on time? We'll tell you which fits your stack.
What each tool actually is
Make
A visual automation platform (formerly Integromat) built on a drag-and-drop scenario canvas. It connects 3,000+ apps, handles branching, loops, and HTTP calls, and bills per operation, which keeps high-volume, multi-step flows affordable. Best for teams that want power and cost efficiency on complex data pipelines and can absorb a steeper learning curve.
Visit MakeZapier
The most widely used no-code automation tool, built on a linear step-by-step builder anyone can learn fast. It connects 8,000+ apps, the broadest catalog in the category, and bills per task. Best for teams that want the quickest path to a working automation and the best odds that their niche tool has a native connector.
Visit ZapierMake vs Zapier, side by side
The facts that decide it, verified from each tool's official site in June 2026.
| Dimension | Make | Zapier |
|---|---|---|
| Best for | Complex, high-volume, data-heavy flows | Fast, simple app-to-app automations |
| Billing unit | Operation (each module run, now "credits") | Task (each successful action step) |
| Builder paradigm | Visual drag-and-drop scenario canvas | Linear step builder (+ Canvas for mapping) |
| App connectors | 3,000+ | 8,000+ (9,000+ via MCP) |
| Branching and loops | Native routers, iterators, aggregators | Paths (paid); limited native looping |
| AI agents | Make AI Agents, AI modules, Make Grid | Zapier Agents, Copilot, Chatbots, MCP |
| Learning curve | Steeper, visual logic takes time | Easiest, fastest to first automation |
| Entry paid price | Core $9/mo, 10,000 operations | Professional $19.99/mo, 750 tasks |
| Free plan | 1,000 operations/mo | 100 tasks/mo, single-action Zaps only |
| Self-hosting | Cloud only | Cloud only |
Prices are USD, annual billing. Make's exact cost rises with the operation allowance you select. Numbers verified June 2026, confirm the current plan on Make and Zapier before you buy.
What each one can and cannot do
A capability check, scored the same way for both tools.
| Capability | Make | Zapier |
|---|---|---|
| Visual builder canvas | ✓ core | ✓ Canvas layer |
| No-code, easy to learn | Limited steeper curve | ✓ fastest |
| Branching and routing | ✓ routers | ✓ Paths (paid) |
| Loops and iterators | ✓ built in | Limited |
| Granular error handling | ✓ handlers, rollback | ✓ auto-replay |
| Webhooks and HTTP | ✓ full HTTP | ✓ paid plans |
| Built-in data store | ✓ Data stores | ✓ Zapier Tables |
| AI agents and modules | ✓ | ✓ |
| Prompt-to-build | ✓ | ✓ Copilot |
| Full automation API | ✓ 300+ endpoints | Limited developer tools |
| 8,000+ app connectors | Limited 3,000+ | ✓ 8,000+ |
| Low cost per unit at scale | ✓ | Limited pricey at scale |
"Limited" means available but not a core strength. Both are mature platforms, so most rows are a tie on capability and split on how the feature is delivered.
What real users say
Public review scores and the themes that come up most, checked June 2026. Counts drift, so the live links are the source of truth.
Make
Praised for: power and flexibility on complex multi-step data flows, far more operations per dollar, and the visual scenario canvas.
Watch-outs: a steeper learning curve than Zapier, the occasional reliability or edge-case complaint, and an operations meter that can be hard to forecast.
Zapier
Praised for: ease of use and a shallow learning curve, the unmatched breadth of app connectors, and how fast you can stand up a working automation.
Watch-outs: cost that climbs steeply as task volume grows, weaker handling of genuinely complex branching or looping logic, and a Free plan capped at single-action Zaps.
Both carry large review bases on G2 and Capterra. Counts move over time, so the live links are the source of truth.
Where each one actually wins
Six things separate these tools in practice. Here is the honest call on each.
Operations vs tasks, the pricing meter
Edge: MakeThis is the issue that decides most of the bill. Make counts an operation every time a module runs (triggers, filters, routers, and iterators all count), and now markets that unit as a credit. Zapier counts a task per successful action step, and the trigger usually does not count. Both meters grow with step count and run frequency, but Make's per-unit price is much lower, so the same workflow costs less to run on Make at volume.
Ease of setup and learning curve
Edge: ZapierZapier's linear step-by-step builder gets a non-technical user to a working automation faster than anything else in the category. Make's visual canvas shows data flowing between modules, which is clearer for complex logic, but it asks more of you up front, especially once routers, iterators, and error handlers enter the picture. For speed to first automation, Zapier wins.
Complex, multi-step workflows
Edge: MakeMake's native routers, iterators, aggregators, and granular error handling make it the better home for deep branching and array-heavy data work, the kind of enrichment and routing pipelines a GTM team builds. Zapier handles multi-step Zaps and added Paths for branching, but its linear model gets harder to manage as the logic deepens. For real orchestration, Make pulls ahead.
App breadth and connectors
Edge: ZapierZapier's 8,000+ connectors (and 9,000+ via its MCP server) are its signature advantage. The bigger the catalog, the better the odds your exact niche tool has a native, maintained connector. Make covers the major GTM stack well at 3,000+, and its full HTTP and webhook modules let a technical team hit any REST API directly when a native module is missing. For coverage out of the box, Zapier wins.
Cost forecasting and budgeting
Edge: splitMake is cheaper to run, but its operation count can surprise you, since an iterator over a 100-row array burns 100-plus operations. Zapier's task count is more predictable, one task per successful action, which makes the monthly bill easier to forecast even though it is higher. So Zapier is easier to budget, Make is cheaper if you budget correctly. Which matters more depends on your appetite for managing the meter.
AI agents and automation
Edge: tieBoth invested heavily in AI through 2025 and 2026. Zapier ships Zapier Agents, Copilot for prompt-to-build, Chatbots, Tables, Interfaces, and an MCP server. Make ships Make AI Agents, AI modules, prompt-to-build, and Make Grid, with paid plans connecting to OpenAI, Anthropic, and others. The feature sets are comparable, just different flavors, so this one comes down to which workflow you prefer.
Want the right one picked for your stack?
We run both inside live campaigns. Tell us your workflows and we'll call it.
What each one costs in 2026
Verified from each official pricing page in June 2026. Read the seat model, not just the headline number.
Make
USD / per operation- Free
1,000 operations/mo, core features, 2 scenarios$0 - Core
10,000 operations, unlimited scenarios, API access$9/mo - Pro
Adds priority execution and full log search$16/mo - Teams
Adds multi-user roles and shared templates$29/mo
Annual billing, monthly is roughly 15 to 30% more. Paid tiers start at a 10,000-operation base and the price rises with the operation allowance you select. Enterprise is custom.
Zapier
USD / per task- Free
100 tasks/mo, single-action Zaps only$0 - Professional
750 tasks, multi-step Zaps, webhooks, paths$19.99/mo - Team
2,000 tasks, unlimited users, shared connections~$69/mo - Enterprise
Advanced admin, SAML SSO, observabilityCustom
Annual billing, monthly is roughly 33 to 50% more ($29.99 Professional, $103.50 Team). Both paid tiers scale task allowances and price upward on a slider.
True cost at scale. The entry economics favor Make heavily: Core gives 10,000 operations for $9, against Zapier Professional's 750 tasks for $19.99, roughly 13 times the units for under half the price. Multi-step workflows burn units on both, but at very different rates. A 5-step flow that runs 1,000 times a month sits comfortably inside Core's 10,000 operations, while the same load blows past Zapier's 2,000-task Team base and forces a higher tier. Zapier is cheaper to start thinking about, Make is cheaper to actually run at volume.
What neither tool does well
Both are automation engines, so they share the same blind spots. Worth knowing before you expect either to carry your whole motion.
Both move data between apps. Neither tells you which accounts to chase or why. That is go-to-market thinking, not plumbing.
An automation only moves what you feed it. Garbage leads in still means garbage leads out, no matter how clean the workflow.
Apps change endpoints and limits, so scenarios and Zaps break quietly. Someone has to own them, or the pipeline stalls.
An automation tool wires up the workflow, but it will not tell you who to target or when. Want the right accounts found, timed, and worked for you? That is the signal-based outbound we run, and here is how it works.
Our take, after running both
The choice comes down to workflow complexity and volume, not one tool being better. Here is how we'd call it in three situations.
Routers, iterators, and a low per-operation price make Make the home for real enrichment and routing pipelines that run a lot.
For a few app-to-app automations a non-technical team can build in minutes, Zapier's ease and 8,000+ connectors win.
If you want self-hosting or execution-based pricing and can run the infrastructure, n8n is the third path. See our n8n vs Make comparison.
Not sure which fits? We run signal-based outbound for early-stage teams and will tell you straight.
Book a Fit Check
Co-founder of Real Good GTM. He has been the first business hire and Chief of Staff at seed-stage B2B startups, building outbound pipeline before any playbook existed. This comparison comes from running these tools on live campaigns, not from a spec sheet.
Connect on LinkedInQuestions buyers ask
What is the difference between operations and tasks?
Is Make cheaper than Zapier?
Which is easier to learn, Make or Zapier?
Which handles complex, multi-step workflows better?
How many apps does each connect to?
Do both Make and Zapier have AI agents in 2026?
When should I look at n8n instead?
More from Real Good GTM
n8n vs Make
Self-hosted and execution-priced, the third automation path.
Signal-based outbound
Outbound triggered by real buying signals, not job titles.
The 60-day plan
What actually happens when we run your outbound.
The two of us
Who runs your account, and why founder-led matters.
Not sure which fits your motion?
Book a fit check. We'll look at your channels, your market, and how you sell today, and tell you straight which tool, or which stack, actually fits.
Book a Fit CheckNo hard sell. No fake numbers. Real good work speaks for itself.