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Comparison

Zapier vs Make — the honest breakdown

Zapier vs Make.com: task pricing vs operations pricing, integrations, branching, error handling. The honest side-by-side from a working automation consultancy.

TL;DR

  • Pick Zapier if you need the widest integration catalog (6000+), fastest 1-step setup, and stay under 5K tasks/mo.
  • Pick Make if you build multi-step workflows with branching, need better visual debugging, or want more automation per dollar past ~2K tasks/mo.
  • Pick either Neither wins on AI or self-hosting — for that, look at n8n.

Feature-by-feature

FeatureZapierMake
Pricing modelPer taskPer operation (each step = 1 op)
Cost at 10K runs/mo (3-step workflow)$73/mo (Professional)$16/mo (Core, 30K ops)
Cost at 50K runs/mo (3-step)$500+/mo~$60/mo
Native integrations6000+1700+
Branching / conditional pathsPaths add-on, limitedFirst-class routers
Visual debuggerGoodExcellent — replay any op
1-step automation speed10 minutes15-20 minutes
Error retriesManual replayBuilt-in retry + break/rollback
Data residencyUS-hosted onlyEU-hosted only
AI / LLM nodesOpenAI, Anthropic (shallow)OpenAI, Anthropic (shallow)

FAQs

Is Make actually cheaper than Zapier?

For anything past a 2-step workflow at real volume, yes — often 5-10x cheaper. A 5-step Zap running 20K times/mo on Zapier costs $500+; the same on Make Core costs $30-50.

Can I migrate Zaps to Make?

Most 1-1. Multi-step Zaps with Paths need rebuilding as router modules. A typical SMB library of 20-40 Zaps takes 1-2 weeks including parallel testing.

Which is easier to learn?

Zapier's step-by-step editor is friendlier for absolute beginners. Make's canvas is more powerful but takes an afternoon to click. Anyone building > 5 workflows will prefer Make.

Should I use either instead of n8n?

Under 20K ops/mo with no data-residency or AI requirements, Make is a great cloud option. Past that, or if you need AI agents or Canadian hosting, n8n wins clearly.

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