n8n vs Zapier vs Make 2026: Real Pricing and AI Agents

Automation tools used to sell themselves on one promise: connect App A to App B without code. In 2026 that promise is table stakes. The real fight is over AI agents, pricing models that punish you at scale, and whether you can host the thing yourself. n8n, Zapier, and Make each answered those questions very differently — and the gap between them on a high-volume workload is now measured in multiples, not percentages.

This is a current, honest comparison. Pricing comes straight from each vendor's own page, the AI features are the ones actually shipping, and the recommendation at the end is based on how you work, not which brand spends most on ads. If you're choosing an automation tool in 2026, the deciding factor is usually one of three things: budget at scale, technical control, or app coverage.

The three platforms at a glance

They occupy distinct positions that have only sharpened over the past year.

• Zapier — the broadest and most beginner-friendly, with the largest app catalog (7,000+ integrations) and a billing model based on "tasks." Easiest to start, most expensive to scale.
• Make — the visual-canvas option from Europe. You build scenarios on a node graph, billed by "operations" (credits). It sits between Zapier's simplicity and n8n's power, usually at a meaningfully lower cost than Zapier.
• n8n — the developer-leaning, fair-code platform that's the only one of the three you can fully self-host. Billed by workflow executions on cloud, or effectively unlimited if you run it yourself.

Real pricing in 2026

This is where most comparisons hand-wave. Here are the actual numbers from each vendor's pricing page.

Zapier

Per Zapier's pricing page:

• Free — $0, with 100 tasks/month and two-step Zaps.
• Professional — from $19.99/month (billed annually), starting at 750 tasks and scaling up into the millions, with multi-step Zaps and webhooks.
• Team — from $69/month, adding up to 25 users, shared connections, and SAML SSO.
• Enterprise — custom pricing.

The catch is the "task" meter: every action step in a Zap counts, so costs climb fast as workflows get more complex.

Make

Per Make's pricing page:

• Free — $0, with 1,000 credits/month and 2 active scenarios.
• Core — $9/month for 10,000 credits.
• Pro — $16/month for 10,000 credits (with higher limits and larger file handling).
• Teams — $29/month for 10,000 credits.
• Enterprise — custom.

Make also unlocks 1-minute scheduling and unlimited active scenarios on every paid tier, versus the Free plan's 15-minute minimum.

n8n

Per n8n's pricing page, cloud plans are billed in euros:

• Starter — €20/month for 2,500 workflow executions.
• Pro — €50/month for 10,000 executions.
• Business — €667/month for 40,000 executions, with a self-hosted option.
• Enterprise — custom.

Crucially, n8n bills by execution, not by step. A single execution can run dozens of nodes for the same cost — a fundamentally different (and cheaper-at-scale) model than Zapier's per-task counter.

The cost picture at scale

The pattern that comparison after comparison confirms: as volume rises, Zapier becomes several times more expensive than Make at the same workload, and Make in turn costs several times more than self-hosted n8n. For low volumes the absolute numbers are small and convenience wins. For high volumes, the billing model — tasks vs. operations vs. executions — matters more than the sticker price.

Self-hosting: n8n's trump card

n8n is the only one of the three with a free, open-source Community Edition you can run on your own server. Per n8n's own materials, the self-hosted version is available on GitHub and runs under a fair-code license: free for community use, with advanced Business and Enterprise features gated behind a paid license key.

This is the single biggest differentiator in the comparison. Self-hosting means:

• No per-execution metering — you pay for your server, not your volume.
• Data stays on your infrastructure — important for regulated or privacy-sensitive workflows.
• No vendor lock-in on the core engine.

The trade-off is real: you own the uptime, the upgrades, and the debugging. Zapier and Make are fully managed; n8n self-hosted is yours to operate.

The 2026 story: AI agents in every tool

The defining shift of 2025–2026 is that all three platforms went from "connect apps" to "run AI agents" — the same agentic leap reshaping the best AI coding tools in 2026. Each native to OpenAI, Anthropic, and Google Gemini models, but the depth differs.

• n8n 2.0 (January 2026) leaned hardest into this, adding native LangChain integration, 70+ AI nodes, persistent agent memory, and support for self-hosted LLMs. For builders who want to wire up genuinely custom agentic workflows, it's the most flexible.
• Zapier shipped Zapier Agents — autonomous systems that execute tasks across its thousands of apps without step-by-step human setup. The appeal is reach: an agent that can touch almost any app you already use.
• Make introduced Maia, an AI assistant that builds scenarios from a plain-language description, plus Make AI Agents for autonomous execution. It's the most approachable on-ramp to agentic automation.

If AI agents are central to your plans, the choice mirrors the overall personalities: n8n for control and custom builds, Zapier for breadth, Make for ease.

Which automation tool should you pick?

Here's the straight recommendation by situation.

• Non-technical, need it working today → Zapier. Biggest app library, gentlest learning curve, and the best odds your obscure SaaS tool is already supported. Accept that scaling costs.
• Want visual power without breaking the bank → Make. The node-graph canvas is genuinely powerful, and at $9–$29/month the value is hard to beat for mid-complexity work.
• Technical, high volume, or privacy-sensitive → n8n, ideally self-hosted. The execution-based billing and free Community Edition make it dramatically cheaper at scale, and you keep your data.
• Building custom AI agents → n8n for control, Make for the quickest start, Zapier for maximum app reach.

A practical hybrid many teams land on: prototype fast in Zapier or Make, then migrate the high-volume, cost-sensitive workflows to self-hosted n8n once the patterns are proven.

FAQ

What's the difference between tasks, operations, and executions?

A Zapier task is one action step. A Make operation is roughly one module run in a scenario. An n8n execution is one full run of a workflow regardless of how many nodes it contains. That last model is why n8n gets cheaper as workflows grow more complex.

Is self-hosting n8n actually free?

The Community Edition is free and open-source; you only pay for the server it runs on. Advanced Business and Enterprise features require a paid license key, but core automation does not.

Can I move workflows between these platforms?

Not directly — there's no clean export-import between them. You rebuild. That's why it pays to think about scale and billing model before you've invested hundreds of workflows in one platform.

The bottom line

There's no universally best automation tool in 2026 — there's a best fit for your volume, your team's skills, and your data requirements. Zapier wins on coverage and approachability, Make on visual value, and n8n on cost-at-scale and self-hosting freedom. With all three now offering real AI agents, the agent feature set is no longer the tiebreaker; the billing model and how much control you want are. Start free, build a real workflow, and watch where the cost curve bends — that's the number that should decide it.