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Zapier vs Make
A plain-English comparison to help you choose between them.
Pick Zapier for the widest app catalogue, the fastest setup and automation nobody has to maintain; pick Make when your flows carry real logic, branching and volume, where its visual scenarios and credit-based pricing pull ahead. Simple and broad favours Zapier; complex and economical favours Make.
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Side by side
- Summary
Zapier is the broadest automation platform: thousands of apps connected through no-code trigger-action workflows, now layered with AI steps that draft, classify and decide inside flows, and agents that take on multi-step work across the connected tools. If two pieces of software need to talk, Zapier almost certainly speaks to both.
Its durability is the integration long tail: the niche tools nothing else connects. The AI layer builds on that reach rather than replacing it, which makes agents practical where they can actually touch everything.
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Per-task billing shapes the economics: high-volume automation gets expensive, and the heavy pipelines eventually justify a self-hosted alternative.
- Best for
- The broadest app-integration coverage anywhere
- No-code trigger-action automation in minutes
- AI steps that draft, classify and decide inside flows
- Agents working across the connected tools
- Automating the niche apps only Zapier supports
- Cost
- Freemium (Free tier + paid plans)
- Ease
- Openness
- Hosted service
- Data
- Action steps count as tasks (a 5-step Zap is 5 tasks/run); overages at 1.25×, capped at 3× the plan allocation. Batch operations scale non-linearly: one runaway Zap can consume most of a monthly limit. The sticker price is not the bill; monitor task consumption and set guardrails.
- Summary
Make is visual automation with engineering sensibilities: scenarios built on a canvas where branching, loops, error handling and data transformation are first-class, connecting thousands of apps at credit-based pricing that undercuts the per-task platforms at volume.
AI has become native: agents live inside the scenario builder as reusable, shareable components, with their reasoning and tool calls visible step by step, and a real-time visual map keeps a growing automation estate comprehensible.
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It rewards builders who think in flows: more capable than the simplest platforms, more approachable than code, with credit billing that still compounds at serious scale.
- Best for
- Branching, loops and error handling built visually
- High-volume automation at credit-based pricing
- Reusable AI agents inside scenarios, reasoning visible
- Data transformation between connected apps
- A visual map of the whole automation estate
- Cost
- Freemium (Free tier + paid plans)
- Ease
- Openness
- Hosted service
- Data
- Per Make's Help Center, "effective august 27th, 2025, we're replacing operations with credits as our billing unit," with existing operations converting 1:1. Standard modules stay at 1 credit, but native AI modules consume credits variably: per one 2026 review, "A workflow with AI Agents can consume 43-50 credits per execution (Small model), versus the few credits of a classic workflow." Extra credits cost 25% more than in-plan (Help Center, updated 6 Nov 2025), for both manual and auto-purchase. The sticker price is not the bill; consider calling AI APIs directly via HTTP for cost control.
Pricing
- Zapier
Free·from $19.99·from $69·Custom
Prices as of August 2026.
- Free
- Free
- Professional
- from $19.99per monthbilled annually; $29.99 per month if billed monthly
- Team
- from $69per monthbilled annually; $103.50 per month if billed monthly
- Enterprise
- Price on applicationno list price published
- Make
Free·from $9·from $16·from $29·Custom
Prices as of August 2026.
- Free
- Free
- Core
- from $9per monthbilled annually; $10.59 per month if billed monthly
- Pro
- from $16per monthbilled annually; $18.82 per month if billed monthly
- Teams
- from $29per monthbilled annually; $34.12 per month if billed monthly
- Enterprise
- Price on applicationno list price published
By area
Where each one pulls ahead, area by area.
| Area | Zapier | Make |
|---|---|---|
| By job | ||
| AI agents & automation | Zapier keeps the broadest connector catalogue in the category, so the odd niche application a business actually runs is almost certainly supported already | Make suits a second-stage estate, where a handful of processes are already automated and the next ones are more complex than trigger and action |
| Founders & entrepreneurs | Zapier wins on speed of setup and the widest app catalogue | Make gives a founder real logic and branching at startup prices, with a generous free tier that starts the automation habit before the budget exists |
| Operations | Zapier watches task volume against the plan before a flow is scaled, which is the number that decides whether per-task pricing still makes sense at the size the team has actually reached | Make handles the operational flows that carry real branching, iteration and error paths, priced by credits so sophisticated multi-step automation stays affordable at volume |
| By task | ||
| Automation & agents | Zapier adds the AI step that drafts, classifies and decides inside a flow, so judgement enters a process without the process moving to another platform to get it | Make builds branching, multi-path scenarios visually, iterates over a dataset and handles its errors explicitly rather than letting a failed run disappear quietly |
Common questions
Which is cheaper in practice?
At low volume they are comparable and the free tiers cover experimentation. As volume grows, Make's credit-based model usually undercuts Zapier's task-based pricing, sometimes substantially for busy multi-step flows. The honest calculation is your expected monthly steps priced on both models; the answer flips depending on workflow shape.
Is Make too complicated for non-technical users?
It asks more than Zapier: scenarios are visual flowcharts with logic, iteration and error paths, which is exactly its value and its learning curve. A motivated non-technical operator learns it in days, not weeks. If nobody wants to learn anything, Zapier's simplicity is the feature to buy.
Can I migrate from one to the other later?
There is no import button; migration means rebuilding flows, which is tedious rather than difficult. That makes the initial choice worth a moment's thought, but not paralysis: most teams' first automations are simple enough to rebuild in an afternoon. Document what you build and switching stays cheap.
Related comparisons
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Tool facts last checked August 2026