n8n vs Zapier vs Make: AI Automation Compared in 2026
Workflow automation has evolved from "connect apps A and B" to "build multi-step AI agents that process data, call LLMs, make decisions, and take actions." The three dominant platforms — Zapier, Make, and n8n — handle this in fundamentally different ways.
This comparison covers how each platform handles AI-powered automation, where the pricing and capability differences matter, and which platform is right for which user.
Quick comparison
| Feature | Zapier | Make | n8n |
|---|---|---|---|
| Ease of setup | Easiest | Moderate | Steepest learning curve |
| AI integrations | Good | Good | Best (code-level control) |
| Pricing model | Per task | Per operation | Per workflow run or self-host |
| Free tier | 100 tasks/month | 1,000 ops/month | Self-host free |
| Starting paid | $20/month | $9/month | $20/month (cloud) |
| Self-hosting | No | No | Yes |
| Custom code | Limited | Moderate | Full (Node.js, Python) |
| OpenAI/Claude integration | Yes | Yes | Yes |
Zapier
Zapier is the easiest automation platform to use and the most expensive at scale. Its strength is integrations: 7,000+ app connections that work without technical setup. For non-technical users building straightforward workflows, Zapier is the path of least resistance.
AI features:
Zapier has integrated LLM calls as a native action: "AI by Zapier" lets you send a prompt to GPT-4o or Claude without managing an API key. For simple LLM steps in a workflow — "summarize this email" or "classify this customer message" — it works without code.
Zapier Agents is the more ambitious product: you define a goal and available tools, and the agent decides how to achieve it. Still in maturing stages, it handles well-defined tasks but struggles with ambiguous objectives.
Pricing:
- Free: 100 tasks/month, single-step zaps only
- Professional: $20/month (750 tasks), multi-step zaps
- Team: $69/month (2,000 tasks), shared workspace
- Enterprise: Custom
The per-task pricing becomes expensive quickly with AI steps. A workflow that processes 1,000 emails through an LLM classification step uses 1,000 tasks. At Professional tier (750 tasks/month), you exceed the plan on day one.
Best for: Non-technical users who need simple app-to-app automation with occasional AI steps. The 7,000+ integrations and easy setup justify the higher per-task cost for workflows that run occasionally.
Make (formerly Integromat)
Make sits between Zapier and n8n: more visual and flexible than Zapier, more accessible than n8n for non-developers. Its scenario builder shows the data flow as a visual diagram, which makes debugging easier.
AI features:
Make has built-in OpenAI and Anthropic modules that handle text generation, image analysis, and embedding creation. The visual approach works well for LLM integration: you can see exactly what data flows into the LLM and what comes back.
Make's HTTP module lets you call any API, so you are not limited to the official integrations. This is important for newer AI services that Make does not have official modules for.
Pricing:
- Free: 1,000 operations/month, 2 active scenarios
- Core: $9/month — 10,000 ops/month
- Pro: $16/month — 10,000 ops/month, unlimited active scenarios, custom variables
- Teams: $29/month — 10,000 ops/month, team features
Make bills by "operations" — each module execution counts as one operation. A three-step scenario processes one item using three operations. This means Make is significantly cheaper than Zapier at equivalent volume.
Best for: Users who want more flexibility than Zapier without learning to self-host. The visual interface makes complex multi-branch AI workflows easier to debug. Good choice for marketing automation, data enrichment, and content operations.
n8n
n8n is the open-source automation platform. You can self-host it for free with no usage limits, or pay for n8n Cloud to avoid managing infrastructure. The learning curve is steeper than Zapier or Make, but the ceiling is substantially higher.
AI features:
n8n has the most complete AI workflow toolkit of the three. The AI Agent node handles multi-step reasoning with tool use. Built-in LangChain integration lets you build retrieval-augmented generation (RAG) pipelines, multi-agent workflows, and chains — things that require significant code in other platforms.
Direct database integration (Pinecone, Qdrant, Weaviate) for vector storage, with built-in embedding generation nodes, makes n8n the most capable platform for building AI knowledge bases and document Q&A systems.
You can write Node.js or Python code in any workflow step, which means if n8n does not have a built-in integration, you build it. This is essential for cutting-edge AI integrations that have not yet been packaged as official nodes.
Pricing:
- Self-hosted: Free, unlimited workflows and executions
- Starter: $20/month — 2,500 workflow executions/month, 5 active workflows
- Pro: $50/month — 10,000 executions/month, unlimited active workflows
- Enterprise: Custom
For teams comfortable with DevOps, self-hosting n8n on a $6/month VPS gives you unlimited automation with zero per-execution costs.
Best for: Developers and technical teams who want maximum control. Self-hosting for cost-conscious teams. Building AI pipelines that go beyond simple app-to-app automation.
How to choose
Choose Zapier if: You are non-technical, you need to connect specific business apps quickly, your workflows run infrequently, and the per-task pricing makes sense for your volume.
Choose Make if: You want a visual, understandable interface for moderate-complexity workflows at lower cost than Zapier. Good for teams where some members are technical and some are not.
Choose n8n if: You are technical, you want self-hosting control, you are building AI agents or RAG pipelines, or you need to process high volumes where Zapier and Make become expensive.
The AI automation space is evolving fast. All three platforms are shipping new AI features aggressively. Revisiting your choice annually is worth the time.