Every week a client asks me some version of: "Which automation platform should we be on? Zapier? Make? n8n?" The answer depends on three variables — your technical comfort, your volume, and your AI ambitions — and the honest comparison is shorter than the marketing makes it.
The 30-second answer
- Zapier — for non-technical owners building simple workflows. 8,000+ integrations. Easiest to learn. Most expensive at scale.
- Make.com — middle ground. Visual canvas. 3,000+ integrations. Significantly cheaper than Zapier on complex flows.
- n8n — most powerful. Cheapest at scale (especially self-hosted). Steepest learning curve. The clear leader for AI-heavy workflows.
If you're not going to read the rest: Zapier if you want it working today and you don't care about cost. Make if you want a visual canvas with more depth and you're growing. n8n if you're technical and building AI agents.
The pricing model trap most people miss
This is the part everyone gets wrong. The three platforms charge for usage differently, and the difference compounds fast.
- Zapier charges per task. Every action in a workflow counts as a task. A workflow that checks a condition, enriches data, and updates your CRM is three tasks.
- n8n charges per execution. One complete workflow run = one execution, regardless of how many steps. A 20-step workflow costs the same as a 2-step workflow.
- Make sits in between — they charge "operations," which is closer to Zapier's task model but cheaper per operation.
The practical implication: for complex, high-volume workflows, n8n can be 80-90% cheaper than Zapier. If you self-host n8n, there's no execution limit at all.
Side-by-side, the way it actually matters
| What you care about | Zapier | Make.com | n8n |
|---|---|---|---|
| Time to first workflow | Under 10 min | ~1 hour | Half a day |
| Integrations | 8,000+ | 3,000+ | ~1,500 native, infinite via HTTP |
| Visual builder | Linear, basic | Canvas, multi-branch | Canvas, code-flexible |
| AI capability (2026) | Limited, accessible | Good, intermediate | Native AI agents, ~70 AI nodes |
| Cost at 10k runs/mo | $$$$ | $$ | $ (or free, self-hosted) |
| Best for | Solopreneurs, simple flows | Growing teams | Technical teams, AI builds |
The AI angle in 2026
If AI is central to what you're building, the answer is less ambiguous. n8n shipped a 2.0 release in January 2026 with native LangChain integration and roughly 70 AI nodes covering agent orchestration, vector storage, and tool calling. It's the clearest leader for teams building real AI workflows.
Make has caught up well — it integrates the major AI services into visual workflows with good depth, and it's a strong choice if you want AI capability without writing code.
Zapier focuses on democratizing AI access — making it usable by non-technical users — but the trade-off is limited customization. For "send a Slack message when a Notion page is updated, with a GPT-generated summary," Zapier is fine. For "orchestrate a multi-step agent that researches a lead, drafts an outbound email, and books a meeting," you'll outgrow it.
What we use, and why
At SyncBroad AI, we use both Make and n8n — for different reasons.
Make for client deployments. When we build a system that a client will eventually maintain themselves, Make is the lowest-friction handoff. The visual canvas reads like a flowchart, the learning curve is reasonable, and the cost is predictable.
n8n for internal AI orchestration. When we're building agent-led automation — the kind of workflow where an AI agent makes decisions and calls tools — n8n's native AI nodes and execution-based pricing make it the right call. Self-hosting it gives us unlimited runs at a flat cost.
We've used Zapier and still recommend it for the right buyer — typically a solo operator who wants automation working in the next hour and isn't going to scale past a few hundred runs a month.
The deciding question
If you're trying to make this call without reading 30 vendor blog posts, ask one question: do I want automation working this week, or do I want infrastructure that will still serve me at 10x volume?
Zapier wins the first race. n8n wins the second. Make is the only one that competes credibly in both.
Pick the one that matches the time horizon you're actually building for. The wrong answer here costs you migration pain in 18 months, which is worse than the friction of picking the harder tool now.
SyncBroad AI deploys client systems on Make, n8n, and the GoHighLevel ecosystem. Book a 15-minute demo if you want a look at how we choose for a specific operational problem.