n8n vs Zapier vs Make: Which Automation Tool to Use in 2026?

n8n, Zapier, and Make are the three biggest names in workflow automation, and they now compete as much on AI agents as on the classic "connect two apps" job. The short version: Zapier wins on raw integration count and ease of use, Make sits in the middle with a visual canvas and a credit-based meter, and n8n is the only one of the three that can be self-hosted for free, which matters a lot once you start running AI agents at volume. Below is what each platform actually charges, what "AI agent" means on each one, and which type of team each is built for.

Why workflow automation is the fight to watch in 2026

Workflow automation used to mean "when a form is submitted, add a row to a spreadsheet." In 2026 the same tools are being repositioned as the backbone of agentic AI: instead of a fixed if-this-then-that chain, you wire up an AI agent that can call tools, read context, and make its own routing decisions mid-workflow. All three platforms covered here have shipped agent-building features in the past year — n8n's AI Agent node and standalone autonomous agents, Zapier's Agents product, and Make's canvas-based agents paired with its "Make Grid" monitoring layer. That shift is also why the category is suddenly getting searched and written about so heavily: teams that already automated the easy stuff are now deciding which platform to trust with AI-driven decision-making, and the three platforms charge for that very differently.

Pricing model: per-execution vs per-task vs per-credit

This is the single biggest practical difference between the three, because it changes how a bill scales as you add steps to a workflow.

• n8n charges by workflow execution, not by the number of steps inside it. A ten-step workflow that runs once still counts as one execution. n8n's own pricing page states plans are "based on monthly workflow executions, regardless of complexity," with unlimited workflows, users, and integrations on every tier.
• Zapier charges by task, and a task is consumed by each successful action step (not by triggers, and not by built-in tools like Filter or Formatter). A five-step Zap that fires successfully burns multiple tasks per run, so cost scales with workflow complexity, not just with how often it runs.
• Make switched its billing unit from "operations" to credits as of late August 2026, per its own pricing page. Most actions consume one credit, though some advanced AI features use more, and unused credits expire at the end of the billing term.

In practice: if your workflows are short and you run them constantly, n8n's per-execution model tends to be cheapest. If your workflows are long and chatty but run occasionally, Zapier's per-task model can get expensive fast, which is the single most common complaint about Zapier once a team scales past simple automations.

Overage handling also differs in a way worth budgeting for. Zapier's own pricing page says that with pay-per-task enabled, usage beyond your plan is billed at 2.5× the base rate on monthly plans and 1.25× on annual plans, capped at 3× the subscription; with pay-per-task turned off, Zaps simply stop running once you hit the limit until the next billing cycle. Make's page says extra credits can be set to auto-purchase in blocks once you're close to running out, rather than hard-stopping your scenarios. n8n's cloud plans don't describe a pay-as-you-go overage mechanism on the public pricing page; exceeding your execution allowance is handled through plan upgrades rather than metered overage billing.

What each plan actually costs

Two caveats worth flagging. First, n8n's paid Business tier — €667/mo billed annually for 40,000 executions, per n8n's pricing page — is self-hosted only; n8n's own Cloud version of that tier is on a waitlist, which is unusual positioning for a "higher" plan. Second, Make's pricing page presents Core, Pro, Teams, and Business tiers through an interactive credit calculator rather than fixed published numbers, so exact monthly cost depends on the credit volume you select; check make.com/en/pricing directly before budgeting rather than trusting a cached screenshot.

Integration counts: breadth vs depth

Zapier is, by a wide margin, the broadest: its own pricing and product pages advertise 9,000+ supported apps, with unlimited "premium" app access from the Pro plan up. Make's pricing page advertises 3,000+ native apps (a separate FAQ note on the same site cites "1,000+ third-party apps," a narrower subset of the same catalog). n8n's official integrations directory lists 2,465 integrations as of this writing, plus the ability to call any REST API with its generic HTTP Request node or write a custom node — so n8n's practical reach is larger than the native-node count suggests, just with more setup work.

For AI agents specifically, n8n's AI product page states that an agent can use "600+ native integrations" as callable tools, on top of your own workflows. That is a separate, smaller figure from the 2,465 total integration count, and reflects which nodes are currently wired up to be agent-usable rather than the platform's full catalog.

AI agent and automation capabilities

All three vendors now sell "agents" as a named feature, but the implementations differ:

• n8n offers two agent patterns, per its own AI product page: an AI Agent node that runs as one step inside a larger workflow (good for predictable, listable steps), and standalone autonomous agents with persistent session memory and their own identity, which other workflows can call through a "Message an Agent" node. Cross-session memory is opt-in and needs an OpenAI credential; each agent turn counts as one execution, and sub-agent or tool calls inside that turn don't add extra billed executions.
• Zapier positions Zapier Agents as AI "teammates" you build in minutes and equip with company knowledge, able to act across its full app catalog on a schedule or on command; Zapier Copilot helps assemble agents conversationally. Prebuilt templates cover tasks like lead enrichment, meeting prep, and support-ticket triage. The free plan includes 400 agent activities per month.
• Make builds agents directly on its existing visual canvas, with step-by-step reasoning logs for transparency, and pairs them with "Make Grid," a live monitoring map of agents, apps, and workflows together with an MCP server/client for linking internal and external tools. Make's own messaging frames agents as handling judgment calls — like routing a lead or triaging an incident — rather than following a fixed branch.

None of these vendor pages publish independently verified benchmark numbers for agent accuracy or speed, so treat any specific performance claims from the companies themselves as marketing rather than tested fact.

Ease of use vs technical control

Zapier is built for the least technical user: its editor is a linear, step-by-step list, templates cover thousands of common use cases, and the free plan is genuinely usable for simple two-step automations. The tradeoff is that complex, branching logic gets awkward in a linear interface, and task-based billing punishes exactly the kind of multi-step workflow you'd build once you outgrow the basics.

Make's canvas is node-based and visual like n8n's, but leans toward a more guided, less code-adjacent experience — you can see an entire scenario's branches and routers on screen at once, which suits people who think visually but don't want to write expressions or scripts.

n8n sits at the technical end: it exposes a full code node (JavaScript/Python), lets you drop in raw HTTP requests, and version-controls workflows via Git on paid plans. That flexibility is also what makes self-hosting viable for teams with the engineering capacity to run it. If you want an API-style integration explainer before going further, Pandromeda's plain-English guide to how APIs work is a useful primer, since most custom automation work ends up calling REST APIs directly at some point.

Governance features follow the same split. n8n's Business and Enterprise self-hosted tiers add SSO/LDAP, queue-mode execution for scaling workloads, and Git-based version control, per its pricing page. Zapier's higher plans add shared folders, unlimited premium app access, and team-level permissions, with Enterprise pricing arranged directly with sales. Make's own pricing page confirms an Enterprise tier billed by invoice/wire transfer for larger organizations, plus a published Start-up Plan giving 50% off the Business plan to organizations under 20 employees; exactly which features separate Business from Enterprise isn't broken out on the public pricing page itself.

Self-hosting: the real differentiator

This is the clearest structural difference between the three. n8n publishes a free, self-hostable Community Edition on GitHub under its Sustainable Use License (plus a separate Enterprise license for paid features) — you can run it on your own infrastructure with no execution cap and no license fee, as long as you're not reselling n8n itself as a hosted service. Zapier and Make are both cloud-only SaaS products with no self-hosted or on-premise deployment option in their published plans; everything runs through the vendor's own servers. For teams with strict data-residency requirements, that makes n8n effectively the only one of the three that can keep automation data entirely in-house.

Which platform should you actually use?

There's no universal winner, but the decision tends to sort along a few lines:

• Pick Zapier if you want the broadest app support, the gentlest learning curve, and you mostly run short, simple automations where task-based billing stays cheap.
• Pick Make if you want a visual, branch-heavy builder for moderately complex scenarios and you're comfortable with a credit-based meter rather than a flat per-run count.
• Pick n8n if you (or your engineering team) want the lowest cost at scale, need self-hosting for compliance or data residency, or are building AI agents that call a lot of tools and need fine control over memory, models, and execution limits.

Plenty of teams actually run more than one: Zapier or Make for simple, team-owned automations that non-engineers maintain, and a self-hosted n8n instance for the engineering-owned, high-volume, or AI-agent workflows where per-execution billing and in-house hosting pay off.

What next

Before committing budget, pull the current numbers yourself rather than relying on any article, including this one — all three vendors update pricing and credit/task allowances outside of a fixed schedule. Start with a free trial on whichever platform matches your technical comfort level: Zapier's 100-task free plan and Make's 1,000-credit free plan both let you build and test a real workflow before paying anything, and n8n's Community Edition can be self-hosted for free indefinitely. If your team is also comparing adjacent developer tooling, Pandromeda's existing look at Linear vs Jira on pricing and features and its explainer on what MCP (Model Context Protocol) actually is are both useful next reads, since MCP is increasingly how these automation platforms connect agents to outside tools.

Written byFelix Moreau

Felix Moreau writes Pandromeda's software coverage and how-to guides. He covers Windows, macOS and Linux updates, the apps people rely on, emulators and developer tools, and turns official documentation into clear, numbered steps that work on the current version.

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