Zapier vs Make: Which Automation Tool Is Right for Your B2B Team?

Quick answer: Zapier wins on ease of use and app coverage (8,000+ native integrations). Make wins on cost — typically 3–5x cheaper per equivalent workflow at volume — and on handling complex, multi-branch logic.

If your team is non-technical and runs simple automations, Zapier is the right call. If you’re hitting task limits or building anything beyond basic trigger-action chains, Make is worth the learning curve.

If you’ve already seen zapier.com’s take on the zapier vs make debate and make.com’s version of the same comparison, you know what you’re working with: two vendor pages, each confidently declaring itself the winner. Not exactly a reliable place to make a decision that could cost your team $2,000 a year or more.

I’ve built workflows on both platforms and helped B2B teams evaluate and migrate between them. This is an independent breakdown — no stake in which one you pick.

The brief version: Zapier is easier, Make is cheaper at scale. But the pricing model difference between the two is genuinely confusing, and getting it wrong is how teams end up overpaying by a factor of three. We’ll work through real numbers below.

If you’re also considering n8n, we cover that too — you won’t need to leave this page. And if you’re evaluating how either platform fits into a broader go-to-market stack, my breakdown of AI tools that integrate across sales, marketing, and ops is worth a look alongside this one.

For teams already running CRM workflows, we also reference where automation fits into the Salesforce alternatives conversation later in this article.

Quick verdict: the 60-second answer

	Zapier	Make
Best for	Non-technical teams, quick setup, broad app coverage	Technical/ops teams, high-volume or complex workflows
Pricing unit	Tasks (triggers free, each action = 1 task)	Credits (every module run = 1 credit, including triggers)
Free tier	100 tasks/month	1,000 credits/month
Entry paid plan	$19.99/month (750 tasks, annual)	~$9/month (10,000 credits, annual)
Native integrations	8,000+	~3,000
Workflow builder	Linear, form-based	Visual canvas, drag-and-drop
Multi-branch logic	Limited (Paths feature)	Native — core design feature
AI features	Zapier Copilot, 450+ AI apps, MCP support	Make AI Agents (next-gen launched Feb 2026), 400+ AI integrations
Learning curve	Low	Medium
Self-hosting	No	No

Disclaimer: If you buy something using the links in this article, I may receive a commission at no extra cost to you.

Know that I only promote stuff that I use and trust for the sake of my readers and the reputation of this site.

Feature comparison: what each platform actually does

Workflow builder and ease of use

Zapier is built around simplicity. You pick a trigger, pick an action, map the fields, done. The linear form-based builder means anyone on your team can set up a working Zap in under ten minutes — no prior automation experience required.

That’s genuinely valuable if you’re running a lean ops team or don’t have someone who thinks in conditional logic.

Make takes a different approach. The visual canvas shows every connection in your workflow as a node diagram — you can see the full logic of a scenario at a glance, which makes complex workflows much easier to manage.

The tradeoff is that the learning curve is real. First-time Make users typically need a few hours to get comfortable with how data mapping, iterators, and error handlers work. It’s not hard, but it’s not as immediately intuitive as Zapier.

Here’s the thing: for teams that invest that initial time, Make’s builder pays dividends fast.

Being able to see a 15-step scenario laid out visually — with branches, error routes, and filters all visible at once — is a meaningful advantage over Zapier’s step-by-step form view once your automations get complex.

Integrations and app library

Zapier’s 8,000+ native integrations is a genuine differentiator. Per zapier.com’s pricing page (April 2026), that includes a wide range of niche and legacy apps that Make simply doesn’t cover natively.

If your stack includes specialized vertical software — older marketing platforms, industry-specific CRMs, niche project tools — Zapier is probably the safer bet without extra legwork.

Make’s ~3,000 native integrations sounds like a big gap, but it’s less of a gap in practice than it looks on paper. Make’s HTTP module lets technical teams build custom connections to virtually any REST API, so if your stack is modern and well-documented, the native app count matters less.

The apps Make does support also tend to have more available actions per integration, which matters when you need granular control.

Logic, branching, and complexity

This is where the two platforms genuinely diverge. Zapier’s Paths feature allows for some conditional branching, but it’s limited — nested conditions get unwieldy fast, and loops aren’t natively supported.

For most simple use cases, that’s fine. For anything involving iterating over lists, multi-branch routing, or complex data transformation, you’ll be fighting Zapier’s structure.

Make was designed from the ground up for complexity. Routers, iterators, aggregators, and full error-handling flows are native features, not workarounds. A scenario that would take multiple separate Zaps (or creative hacks) in Zapier is often a single, clean scenario in Make.

If your workflows involve processing arrays, looping through records, or routing data down different paths based on multiple conditions, Make handles it more elegantly.

Zapier vs Make pricing: the real cost at your workflow volume

This is the section that actually matters for most B2B teams evaluating these platforms. The pricing model difference between Zapier and Make is real, but it’s also more nuanced than the headline numbers suggest.

How Zapier’s task model works (and where costs spike)

Zapier charges per task — one successful action step equals one task. Crucially, triggers don’t count. Neither do filters or Paths logic steps.

So a Zap that watches for a new CRM lead, enriches the data, creates a Google Sheet row, and sends a Slack alert costs 3 tasks per run (the trigger is free, the three actions are not).

Per zapier.com’s pricing page (April 2026), Zapier’s paid plans break down as follows (annual billing):

Free: 100 tasks/month
Professional: $19.99/month — 750 tasks/month (starting tier; scales with task volume)
Team: $69/month — 2,000 tasks/month + 25 seats, shared Zaps, SAML SSO
Enterprise: Custom pricing

Within Professional and Team, pricing scales with task volume — Professional at 2,000 tasks/month runs $49/month; at 5,000 tasks $89/month; at 10,000 tasks $129/month (per zapier.com, April 2026).

The task model is predictable at low volume. Where it gets painful is scale — a team running 10,000 tasks/month on Professional pays $129/month, while the same workload on Make’s Pro plan (~$16/month) costs a fraction of that.

And on Zapier, you can’t selectively exclude steps from your count — every action fires against your limit.

How Make’s credit model works

Make switched from “operations” to a credit-based model in August 2025. For standard (non-AI) automations, the math is the same: 1 module run = 1 credit. But here’s the important difference from Zapier: Make counts triggers as credits.

That Gmail watch module, the webhook listener, the scheduled trigger — all consume credits.

Per make.com’s pricing page (April 2026), Make’s plans are:

Free: 1,000 credits/month, 2 active scenarios
Core: ~$9/month — 10,000 credits, unlimited scenarios
Pro: ~$16/month — 10,000 credits + priority execution, custom variables, full execution logs
Teams: ~$29/month — team roles, shared scenario library
Enterprise: Custom pricing

Extra credits are sold in 10,000-credit packs at roughly $9 per pack (per make.com, April 2026), making overage months reasonably predictable.

The “Make charges for triggers” nuance is why the apparent 10x price difference between the two platforms is really closer to 3–5x in practice. A 4-module Make scenario (trigger + 3 actions) costs 4 credits per run.

The equivalent Zapier Zap costs 3 tasks per run. The gap is real — just not as dramatic as the raw plan pricing makes it look.

Cost calculator: worked examples at three team sizes

These figures are based on April 2026 plan pricing from zapier.com and make.com. Add a “last verified” check before publishing.

Scenario	Workflow steps	Monthly runs	Zapier cost (approx)	Make cost (approx)
Small team, simple automations	3 steps	500 runs	$19.99/mo (Professional 750 tasks — tasks used: 1,000, slight overage)	~$9/mo (Core — credits used: ~2,000)
Growing team, moderate complexity	6 steps	2,000 runs	$49/mo (Professional 2,000 tasks — tasks used: 10,000, upgrade needed to $89/mo)	~$9/mo (Core — credits used: ~12,000, small overage)
Scaling team, complex multi-branch	10 steps	5,000 runs	$129/mo (Professional 10,000 tasks tier)	~$16–29/mo (Pro or Teams)

A note on the math: For Make, credit count = steps × runs (including trigger). For Zapier, task count = (steps − 1) × runs (trigger excluded). At high volume and step count, Make’s cost advantage widens significantly.

Who should choose Zapier

Look, Zapier earns its market position. Here’s when it’s genuinely the right call:

Your team is non-technical. If the person managing your automations doesn’t think in data structures, Zapier’s form-based builder is a real advantage. Setup is faster, mistakes are less costly, and onboarding new team members takes minutes, not hours.

You need niche or legacy app integrations. With 8,000+ native apps, Zapier covers more of the long tail than any other automation platform. If you’re connecting obscure vertical software, Zapier has a better shot at a native connector.

Your workflows are simple and your volume is low. Under 750 tasks a month with mostly 2–4 step Zaps? Zapier’s Professional plan starting at $19.99/month is a reasonable price for the convenience and reliability you get.

You want plug-and-play AI. Zapier Copilot lets non-technical users build Zaps using natural language, and the 450+ AI app integrations plus Zapier MCP support (added in 2026) mean AI workflow features are genuinely accessible without any configuration overhead.

Predictability matters more than cost. Zapier’s task model is simple to forecast. If finance needs a clean, predictable automation line item and you’re not hitting limits, the premium is worth it for the operational simplicity.

Who should choose Make

Make is the right platform for a specific kind of team — and that team should absolutely be using it.

You’re hitting Zapier’s task limits. This is the most common trigger for evaluating Make. If you’ve upgraded once and you’re already watching the task counter again, the math shifts decisively.

At 2,000+ monthly tasks across moderate complexity workflows, Make is typically 3–5x cheaper for equivalent output.

Your workflows have branching, loops, or data transformation. Multi-step conditional logic, iterating over arrays, aggregating data across multiple records — Make handles all of this natively. If you’re building workarounds in Zapier to approximate this behavior, Make will clean up your stack considerably.

For teams exploring Zapier alternatives because of complexity limits, Make is almost always the first option worth evaluating seriously.

You have at least one ops or technical person on the team. Make’s visual canvas is powerful, but it rewards users who are comfortable with logic. You don’t need a developer — but you do need someone willing to spend a few hours learning how scenarios, routers, and error handling work.

You need serious error handling. Make’s configurable error handlers, execution logs, and scenario replay (available on all plans as of October 2025, per make.com release notes) are significantly more robust than Zapier’s basic auto-retry.

If an automation failure has real business consequences, Make gives you more visibility and control.

You’re building AI workflows with custom LLM routing. Make AI Agents — relaunched in next-generation form in February 2026 with a visual reasoning panel and in-canvas debugging (per make.com’s announcement) — are genuinely more sophisticated for teams that need to see and control AI decision-making in their workflows.

Custom AI provider connections (OpenAI, Claude, Gemini) are available on all paid plans as of November 2025.

What about n8n? The three-way comparison in brief

A lot of people searching “zapier vs make” are also thinking about n8n. Here’s the honest take.

n8n is the developer-first option. It’s open-source, self-hostable, and genuinely powerful — and if your team has an in-house developer who wants complete control over your automation infrastructure, it deserves serious consideration.

The cost advantage over both Zapier and Make at high volume is real.

But if your team has no in-house developer, n8n is not the right choice. Full stop, regardless of the cost savings. Self-hosting requires infrastructure management.

Even n8n Cloud, the hosted version, assumes more technical comfort than either Zapier or Make.

The setup and maintenance overhead erases the cost savings for non-technical teams — and that’s before you account for debugging time when something breaks.

The one-sentence rule: if someone on your team would describe themselves as a developer, n8n is worth evaluating. If not, the Zapier vs Make decision is your real call.

For teams where n8n is a genuine option, my full n8n vs Zapier comparison walks through the technical tradeoffs, self-hosted vs cloud costs, and which workflows actually benefit from n8n’s flexibility.

And if you’re specifically looking at what comes after n8n, our breakdown of n8n alternatives covers the landscape.

Migrating from Zapier to Make: what to know before you switch

If you’ve read this far and you’re leaning toward Make, here’s the practical side of actually making the move.

What transfers easily. Most simple trigger-action Zaps have direct Make equivalents. A “new form submission → add to CRM → send Slack notification” workflow is straightforward to rebuild in Make.

The apps are usually available, the logic is the same, and the main work is remapping your data fields.

What requires rethinking. Multi-step Zaps with Zapier’s Paths feature don’t map directly to Make. In Make, conditional routing runs through a Router module — it’s more powerful, but the structure is different enough that you’ll need to redesign rather than copy.

Budget time for this: a complex 10-step Zap with branches might take an hour or two to properly rebuild as a Make scenario.

The trap nobody warns you about. Re-count your operation usage during the first 30 days in Make. It’s easy to underestimate credit consumption when you’re new to the platform — especially if your scenarios run on short intervals or include iterators that multiply credit usage across records.

An unexpected overage in month one isn’t a deal-breaker, but it’s avoidable if you do the math before you migrate.

The recommended approach. Run both platforms in parallel for 30 days before cancelling Zapier. Rebuild your highest-volume workflows in Make first, monitor the credit usage, confirm the scenarios are stable, then migrate the rest.

This costs a month of dual subscriptions — worth it to avoid automation gaps in production.

For a full breakdown of where Zapier’s task costs actually spike at each plan tier, that’s worth reading before you cancel your account.

Final verdict and our recommendation

Here’s how I’d call it.

Choose Zapier if your team is non-technical, your monthly task volume is under 1,000, your workflows are mostly 2–4 steps, or you need broad app coverage including niche tools. The simplicity premium is real and worth paying at this scale.

Choose Make if you’re hitting Zapier’s task limits, building complex multi-branch workflows, have someone on the team comfortable with logic and data mapping, or you’re running AI workflows that need custom LLM routing and full decision transparency. The learning curve pays for itself quickly, and the cost savings at volume are substantial.

Don’t jump to n8n unless you have a developer on the team. The cost advantage doesn’t survive the maintenance overhead for non-technical organizations.

One thing I’d push back on: the idea that you have to pick just one. A lot of B2B teams run Zapier for simple, business-critical integrations that need to be bulletproof and fast to fix, and Make for the high-volume or complex scenarios where cost efficiency and logic depth matter.

The platforms complement each other better than most comparisons acknowledge.

FAQ

Is Make cheaper than Zapier?

Yes, typically 3–5x cheaper per equivalent workflow at volume.

The headline difference looks larger because the pricing units differ — Make charges per credit (including triggers), Zapier charges per task (triggers excluded) — but even adjusted for that, Make offers significantly better value for complex, high-volume automation.

Per make.com and zapier.com pricing pages (April 2026), Make’s Core plan delivers 10,000 credits for ~$9/month vs Zapier’s Professional entry tier at $19.99/month for 750 tasks.

Is Zapier better than Make?

For simplicity and app coverage: yes. For cost at scale and complex logic: no. Zapier is the better choice for non-technical teams needing quick automations across a wide app library.

Make is the better choice for B2B teams running high-volume or multi-branch workflows where cost efficiency and logic depth matter.

Can I use Zapier and Make together?

Yes — many B2B teams use Zapier for simple, high-priority integrations and Make for complex or high-volume scenarios. The platforms aren’t mutually exclusive, and running both during a migration period is the recommended approach before fully switching.

How hard is it to switch from Zapier to Make?

Moderate effort. Simple trigger-action workflows transfer easily; multi-step Zaps with conditional logic need to be redesigned as Make scenarios rather than copied directly. Most teams run both platforms in parallel for 30 days before fully migrating to avoid automation gaps in production.

What is the difference between Zapier tasks and Make credits?

A Zapier task = one successful action step in a workflow (triggers are free). A Make credit = one module run, including triggers. This means Make’s cost advantage is smaller than raw plan pricing suggests — but still significant at scale.

A 4-step Make scenario costs 4 credits per run; the equivalent Zapier Zap costs 3 tasks per run (trigger excluded).

Does Make have more integrations than Zapier?

No. Zapier has 8,000+ native integrations vs Make’s ~3,000 (per each platform’s website, April 2026). However, Make’s HTTP module allows technical teams to connect to virtually any REST API, and Make’s native integrations tend to offer more available actions per app.

For teams with modern, well-documented stacks, the gap is smaller in practice than the raw numbers suggest.

What happened to Make operations? Is it now credits?

Make switched from “operations” to a credit-based pricing model in August 2025. For standard (non-AI) automations, the math is the same: 1 module run = 1 credit.

The change primarily affects AI-powered workflows, where credit consumption depends on token usage and can be higher than 1:1.