Zapier wins for accessibility — the widest app coverage (9,000+ integrations) and the simplest setup for someone who isn't technical, at the cost of pricing that scales badly at real volume. Make wins on cost-efficiency for a visual builder, delivering roughly 10x more operations per dollar than Zapier while still staying approachable for non-developers. n8n wins for technically confident teams: it's the most flexible, supports full two-way MCP for connecting AI agents, and self-hosted pricing eliminates per-execution costs entirely — the difference at 50,000 tasks a month is roughly £20 for n8n versus £940 for Zapier. All three connect your apps and add AI steps to a workflow; the real decision is how much that convenience costs once you're actually running it at scale.
Where each one actually wins
Zapier is built for someone who wants to connect two apps and get a working automation in minutes, with the broadest library of pre-built integrations in the category. Its AI Copilot adds one-way AI assistance to building a Zap, and for straightforward, lower-volume automations, nothing is faster to set up.
Make (formerly Integromat) gives you a visual canvas for branching, transforming, and combining data across a workflow, with far better cost-efficiency than Zapier at real volume since each individual module execution counts as one operation rather than each full automation run costing more per task. It's the stronger pick for a team that has outgrown Zapier's simplicity but doesn't want to write code.
n8n is open-source and self-hostable, eliminating per-execution pricing entirely for technical teams willing to run their own instance, and it has the deepest AI-agent integration of the three with full two-way MCP support. The tradeoff is a steeper setup curve — this is the choice for a team with some technical capacity, not a non-technical solo operator.
Quick comparison
| Tool | Core strength | Starting price | Best fit |
|---|---|---|---|
| Zapier | Widest app coverage, simplest setup | Freemium, from ~$19.99/mo | Non-technical, lower-volume automations |
| Make | Visual builder, best cost-efficiency | Freemium, from ~$9/mo | Outgrown Zapier, still no-code |
| n8n | Self-hosted, deepest AI-agent support | Free (self-hosted) or from $20/mo | Technical teams running real volume |
Which one should you actually use?
Start with Zapier if you're automating your first few workflows and want the widest range of pre-built integrations with the least setup friction. Move to Make once you've outgrown simple trigger-action Zaps and need real data transformation without paying Zapier's per-task rate at higher volume. Use n8n if you have the technical capacity to self-host and want to eliminate per-execution costs entirely, especially if you're building workflows that connect AI agents together.
FAQ
Is it expensive to switch from Zapier to Make or n8n later? Migrating existing automations takes real time regardless of direction, since each platform structures workflows differently — factor in migration effort, not just the sticker price difference, before committing to a switch purely for cost savings.
Do I need to know how to code to use any of these? No, all three are built around visual, no-code workflow building — n8n's self-hosting option is the only piece that benefits from some technical comfort, not the actual workflow-building process itself.
How is Make's operations-based pricing actually different from Zapier's tasks? A single Zap action always counts as one Zapier task, while a Make scenario doing the same job (fetch a record, transform it, send an email) counts as three separate operations — but Make's operations are priced low enough that this typically still comes out cheaper at real volume.
Can these tools actually run AI agents, or just simple automations? Yes, all three now support AI steps within a workflow, but n8n's native two-way MCP support makes it the most capable of the three specifically for building and connecting genuine AI agents rather than simple trigger-action automations.
Related guides
- Is My Business Ready for AI Agents? A Practical Readiness Check
- AI Agents vs Automation: What's the Difference in 2026?
- Explore AI Agents tools
*Ratings and pricing reviewed monthly. Last updated September 2026.*
Bogdex · Founder & editor, woska
Bogdex builds and curates woska, testing AI tools against real workflows to judge which ones actually save time rather than which have the longest feature list.