n8n vs Make: Which Automation Platform Should You Build On?

n8n and Make are the two most capable alternatives to Zapier. Both use a visual canvas. Both handle complex multi-step workflows. Both are significantly cheaper than Zapier at volume. Both now ship native AI agent support, including MCP, as of 2026. But they are still built around different assumptions about who is using them and what they need.

The Core Difference

n8n is built for technical teams that want full control. Self-hosting is a first-class option. Code (JavaScript and Python) runs natively inside workflows. The AI integrations are deep. The complexity ceiling is effectively unlimited.

Make is built for broader adoption. It is cloud-only, no-code, and has a cleaner onboarding experience. It handles complex workflows well, better than Zapier, but its ceiling is lower than n8n’s when you hit the limits of what a no-code canvas can express.

Pricing

Plan	n8n (self-hosted)	n8n.cloud Starter	Make Free	Make Core	Make Pro
Price	~$5–15/mo (server)	~$20/mo	Free	$9/mo	$16/mo
Executions	Unlimited	2,500/mo	1,000 ops/mo	10,000 ops/mo	10,000 ops/mo
Code support	Yes	Yes	No	No	No
Self-hostable	Yes	No	No	No	No

At volume, self-hosted n8n is dramatically cheaper than Make. At low volume, Make’s free tier is hard to beat. For teams that want managed cloud without self-hosting, n8n.cloud and Make Core are comparable in price. Make Pro sits above Core for the same operations allowance, adding priority scenario execution and full-text log search, useful once a scenario is complex enough to need debugging.

For the current n8n plan prices in AUD, what counts as a billable execution, and the real cost of self-hosting, see n8n pricing in Australia.

AI Agents and MCP

This section changed the most in 2026. A year ago n8n had a clear AI advantage and Make’s AI support was closer to “call an API and use the response.” That gap has narrowed.

n8n builds AI agents with a dedicated AI Agent node that wraps an LLM with memory, tools, and a system prompt for multi-step, autonomous behaviour. It also has native MCP support on both ends: an MCP Client Tool node so an agent can call tools on an external MCP server, and an MCP Server Trigger that exposes an n8n workflow itself as an MCP endpoint other tools can call. Code nodes still cover anything the built-in nodes don’t.

Make shipped a rebuilt AI Agents app in February 2026, moving agent building into the scenario canvas with a live reasoning panel, in-canvas chat, and multi-modal file handling (an agent can take a PDF, image, or CSV as input and hand back a file, without a separate parsing step). In June 2026 it added its own MCP layer, including a Make MCP server and MCP toolboxes, so a Make scenario can act as an MCP client or server the same way n8n’s can.

The practical difference now is less “does it support AI” and more where the ceiling sits. n8n still gives more control over custom agent logic through code, and it’s the only one of the two you can self-host. Make gets a working agent live faster without writing anything, with a friendlier debugging view for non-developers. For businesses building on n8n automation specifically for the code flexibility and self-hosting, that reasoning still holds in 2026. It’s just no longer “Make can’t do AI.”

Self-Hosting and Data Control

n8n’s self-hosted version is genuinely production-grade. Companies run it on their own infrastructure, keep all workflow data on their servers, and pay only server costs.

Make has no self-hosting option. All data processes through Make’s cloud. For businesses with strict data residency requirements, particularly in finance, health, or legal, this is a disqualifying factor for Make.

Where Make Wins

Onboarding. Make’s interface is more polished and the initial setup is faster than n8n, particularly for non-developers. If your team is building automation without dedicated developers, Make’s lower friction matters.

Visual clarity. Make’s circular canvas, with data flowing visually between modules, is intuitive once learned. For people who are allergic to code but want sophisticated automation, Make’s no-code canvas goes further than Zapier without requiring the technical depth n8n can demand.

Specific integrations. Make’s 1,000+ integrations include some tools n8n lacks. If you use a specific SaaS that Make supports but n8n does not, that is a practical differentiator.

A faster start on AI agents. Make’s 2026 AI Agents app gets a working agent live in the canvas, with a reasoning panel to see why it made a decision, without writing code first.

Where n8n Wins

Custom agent logic. Both platforms build AI agents now, but n8n’s code nodes let you handle edge cases and logic the built-in tools don’t cover. For agents that need to do something non-standard, n8n is the better foundation.

Self-hosting and data control. No data leaves your infrastructure. This matters in regulated industries.

Code flexibility. When the visual interface cannot express what you need, JavaScript or Python can. Make has no equivalent.

Cost at volume. Self-hosted n8n’s flat server cost beats Make’s per-operation pricing at scale.

Complexity ceiling. Very complex workflows, conditional logic trees, recursive structures, custom data transformations, are more naturally expressed in n8n.

Which to Choose

Choose n8n if:

• You are building AI agents with custom or non-standard logic
• You have or can get technical support for setup and maintenance
• Data residency or self-hosting is a requirement
• Your workflow volume is high
• You want the highest possible complexity ceiling

Choose Make if:

• Your team is non-technical and code is not an option
• You want a polished, managed cloud experience without server management
• Your workflow volume is low-to-moderate
• You want an AI agent live quickly without writing code

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WhatWill AI builds on n8n for client automation and AI agent projects. Book a free discovery call to find out what we can build for your business.