For most small businesses choosing an AI automation platform today, Make offers the strongest balance of affordability, capability, and usability. It delivers roughly ten times more operations per pound than Zapier while remaining accessible to non-developers. That said, Zapier remains the fastest path to a working automation if you need breadth of integrations and zero learning curve, and n8n is the clear winner for technical teams who want full control, self-hosting, and the most generous pricing model for complex AI workflows.
The deciding factor is not features — all three platforms now support AI agents, LLM nodes, and natural-language workflow building. The real differentiator is how each platform charges you, and how that model behaves as your automation usage grows.
TL;DR
- Make wins on value: ~10x more operations per dollar than Zapier, 3,000+ integrations, and a visual builder that non-developers can learn in an afternoon.
- Zapier wins on ease and breadth: 9,000+ app connections, the smoothest onboarding, and AI Copilot for building workflows in plain English.
- n8n wins on flexibility and cost control: execution-based pricing (a 10-step workflow costs the same as a 1-step workflow), self-hosting option, and native AI agent nodes.
- Best free option: n8n Community Edition — unlimited workflows, self-hosted, open-source.
- At scale, Zapier's task-based pricing can cost 5-10x what Make or n8n charges for identical workloads.
How Does Pricing Actually Work Across Zapier, Make, and n8n?
This is where most comparison articles fail readers. Each platform uses a fundamentally different billing unit, and the distinction matters enormously once you move beyond simple two-step automations.
| Criteria | Zapier | Make | n8n (Cloud) |
|---|---|---|---|
| Billing unit | Tasks (each step = 1 task) | Credits (each module = 1 credit) | Executions (1 full workflow run = 1 execution) |
| Free tier | 100 tasks/mo, 2-step only | 1,000 credits/mo, 2 scenarios | Self-hosted: unlimited; Cloud Starter: €20/mo |
| Paid starting price | $19.99/mo | $12/mo (10K credits) | €20/mo (2,500 executions) |
| 10-step workflow cost | 10 tasks per run | 10 credits per run | 1 execution per run |
| Integrations | 9,000+ apps | 3,000+ apps | 400+ built-in nodes |
| AI features | Copilot, AI Agents, MCP | AI Toolkit, AI Agents (beta), MCP | Native AI Agent nodes, RAG, vector stores |
| Self-hosting | No | No | Yes (Docker/Kubernetes) |
| Best for | Non-technical users, broad integrations | Value-conscious growing teams | Technical teams, data privacy, complex AI |
Pricing checked 30 June 2026 against official pricing pages.
The cost-per-automation maths
Consider a common scenario: a 10-step workflow running 1,000 times per month (10,000 total actions).
- Zapier: 10,000 tasks consumed. You would need a Team plan (~$69/mo) or higher.
- Make: 10,000 credits consumed. Fits within Core ($12/mo) or Pro ($21/mo).
- n8n Cloud: 1,000 executions consumed. Fits comfortably within the Pro plan (€50/mo for 10K executions).
- n8n self-hosted: Unlimited executions. VPS cost only (~£8-10/mo).
The gap widens as workflows grow more complex. A 20-step workflow doubles your Zapier and Make costs but changes nothing on n8n.
Who Should Choose Zapier?
Zapier is the right choice if you are a solo operator or small team that needs to connect niche apps quickly, with minimal technical setup. Its 9,000+ integrations mean you are unlikely to encounter an app it does not support. The AI Copilot lets you describe a workflow in plain English and generates it for you — genuinely useful for non-technical users.
Current pricing (June 2026):
- Free: $0/mo, 100 tasks, 2-step workflows
- Professional: from $19.99/mo, multi-step, unlimited premium apps
- Team: $69/mo, 25 users, shared workflows, SAML SSO
- Enterprise: custom pricing
Strengths: Unmatched app catalogue. Fastest time-to-first-automation. AI Copilot removes the learning curve almost entirely. Solid documentation and community.
Limitations: Task-based pricing punishes complex workflows. A 10-step Zap burns through your monthly allocation ten times faster than a single-step one. No self-hosting option. AI agent features, while present, feel bolted-on compared to n8n's native approach.
Who Should Choose Make?
Make suits growing small businesses that need more sophisticated automations without enterprise budgets. Its visual scenario builder is more powerful than Zapier's — supporting branching logic, iterators, and error handling natively — while remaining approachable for non-developers.
Current pricing (June 2026):
- Free: $0/mo, 1,000 credits, 2 active scenarios
- Core: $12/mo for 10K credits, unlimited scenarios
- Pro: $21/mo for 10K credits, priority execution, custom variables
- Teams: $38/mo for 10K credits, team roles and templates
- Enterprise: custom pricing
Strengths: Exceptional value — the Core plan at $12/mo gives you 10,000 operations, enough for moderate business use. The visual builder handles complex logic elegantly. AI Toolkit and agent capabilities are maturing rapidly.
Limitations: 3,000 integrations is broad but roughly a third of Zapier's catalogue. Some niche apps require workarounds via HTTP modules. The credit model, while far cheaper than Zapier's, still penalises complex workflows (though less severely). No self-hosting.
If you are building productized AI services, Make's price-to-capability ratio makes it a strong backbone for client-facing automations.
Who Should Choose n8n?
n8n is purpose-built for technical teams, developers, and any business that takes data privacy seriously. Its execution-based pricing is the most generous model available: a workflow with 50 nodes costs the same per run as one with 2 nodes. For AI agent workflows with multiple LLM calls, tool routing, and RAG retrieval steps, this pricing model saves substantial money.
Current pricing (June 2026):
- Community Edition: free, self-hosted, unlimited everything
- Starter (Cloud): €20/mo, 2,500 executions
- Pro (Cloud): €50/mo, 10,000 executions
- Business: €667/mo, 40K executions, SSO/SAML, Git version control
- Startup discount: 50% off Business plan for companies under 20 employees
Strengths: Execution-based pricing eliminates the "complexity tax." Native AI agent nodes with built-in RAG pipelines and vector store integrations. Full self-hosting means data never leaves your infrastructure. Open-source with 194K+ GitHub stars and active community. Ideal for teams building an agent operating system layer.
Limitations: Smaller integration library (400+ nodes) requires more custom HTTP work. Self-hosting demands technical maintenance. The learning curve is steeper than Zapier or Make. Cloud pricing is not cheap for the starter tier relative to Make's free plan.
What About AI Workflow Capabilities Specifically?
All three platforms now market AI-native features, but the depth varies:
- Zapier offers AI Copilot (natural-language workflow creation), AI Agents for autonomous task completion, and MCP connectivity for model interop. It is best for simple AI-enhanced automations like "summarise this email and draft a reply."
- Make provides an AI Toolkit, content extraction modules, and beta AI Agents. It handles multi-step AI pipelines reasonably but is still catching up on agent autonomy.
- n8n has native AI Agent nodes with configurable tool-calling, RAG pipeline support, vector store connections (Pinecone, Qdrant, Weaviate), and an AI Workflow Builder. For teams looking to reduce token costs through intelligent routing and caching, n8n provides the most granular control.
Decision Path: A Practical Scoring Approach
Rather than a generic recommendation, score yourself on three axes:
- Technical comfort (1-5): Can you deploy a Docker container? Debug an API response? If you score 1-2, lean Zapier. If 3-4, Make. If 5, n8n.
- Workflow complexity (1-5): Are your automations 2-3 steps, or 10-20+ steps with branching? Higher complexity favours Make or n8n's pricing models.
- Monthly automation volume: Under 1,000 actions? All three work. Over 10,000? Zapier becomes expensive. Over 50,000? Self-hosted n8n becomes the obvious choice.
If you have not yet mapped where your time actually goes, an AI time audit is a worthwhile first step before committing to any platform.
Credible Alternatives Worth Knowing
- Power Automate (Microsoft): Best if your stack is entirely Microsoft 365. Tight Copilot integration. Pricing bundled with enterprise licences.
- Activepieces: Open-source alternative to Make with a visual builder. Younger ecosystem, fewer integrations.
- Pipedream: Developer-first, code-native workflows. Generous free tier. Less visual, more programmatic.
- Tray.io: Enterprise-grade iPaaS. Overkill for small business but worth noting if you are scaling fast.
FAQ
Q: Which is the cheapest option for a small business just starting with automation? A: Make's free tier (1,000 credits/month) is the most usable no-cost option for cloud-hosted automation. If you have technical skills, n8n Community Edition is entirely free with no usage limits — you only pay for server hosting (roughly £5-10/month for a basic VPS).
Q: Is Zapier worth the price premium over Make? A: Only if you rely heavily on niche app integrations that Make does not support, or if your team has zero technical capacity and needs the simplest possible interface. For most small businesses running multi-step workflows, Make delivers equivalent results at a fraction of the cost.
Q: Can n8n handle enterprise-grade AI agent workflows? A: Yes. n8n's native AI Agent nodes support tool-calling, RAG pipelines, vector store retrieval, and multi-model routing. The execution-based pricing means complex AI workflows with many LLM calls do not escalate costs the way task-based or credit-based models do. The Business and Enterprise tiers add SSO, Git version control, and SLA-backed support.
Q: Which platform is best for data privacy and GDPR compliance? A: n8n is the only option offering full self-hosting, meaning data never leaves your infrastructure. Both Zapier and Make process data on their servers (with SOC 2 compliance), but for industries with strict data residency requirements, n8n's self-hosted deployment is the clear winner.
Q: Do I need coding skills to use any of these platforms? A: Zapier requires no coding whatsoever. Make requires no coding for standard use but benefits from basic JSON/API understanding for advanced scenarios. n8n's cloud version is usable without coding for simple workflows, but you will get the most value if you are comfortable with JavaScript, APIs, and (for self-hosting) Docker.
Discussion
0 comments