n8n charges per run.
Make per step. Zapier per task.
n8n vs Make vs Zapier — three pricing models that diverge fast at scale. Whether you're comparing Make.com vs n8n for your team or weighing all three, here's the cost breakdown and the decision tree we use with clients.
We've built production workflows on all three. This is our honest breakdown.
Pricing Models
The Fundamental Difference
All three platforms charge differently. The model matters more than the headline price — a complex 20-step workflow can cost 20× more on Zapier than n8n for the same number of runs.
One workflow run = 1 execution, regardless of how many nodes it touches. A 50-node workflow running 5,000 times = 5,000 executions.
Best for complex, multi-step workflows at high volume.
Cloud from $50/mo (10k executions). Self-hosted: free.
Each module step = 1 operation. A 20-module scenario running 5,000 times = 100,000 operations. More granular than Zapier tasks.
Best for moderate-complexity workflows at moderate volume.
From $9/mo (10k ops). Additional ops at $9/10k.
Each action step = 1 task. A 20-action Zap running 5,000 times = 100,000 tasks. Triggers are usually free; actions are counted.
Best for simple 2–3 step automations at low volume.
From $19.99/mo (750 tasks). Scales steeply with volume.
Real Cost Example
What 100k Operations/Month Actually Costs
Scenario: 20 workflow steps per run, 5,000 runs per month = 100,000 step-level operations. This is typical for a mid-size ops team running daily automations across Salesforce, Slack, and a database.
The bottom line
The same workload costs 8–12× more on Zapier than Make, and 20–30× more than n8n. A team spending $500/month on Zapier can run the same workflows on n8n self-hosted for $20/month — saving $5,760/year. The gap widens further as volume grows, because n8n's per-execution model doesn't multiply with workflow complexity.
AI Agent Depth
n8n is the Only One Built for AI Agents
Make and Zapier can call LLM APIs via HTTP modules — but they don't have an agent primitive. n8n ships a native AI Agent node that reasons, remembers, and calls other workflow nodes as tools.
n8n — native agent
- ✓Native AI Agent node — no HTTP wiring needed
- ✓In-context memory + vector store (Pinecone, Weaviate)
- ✓Any n8n node usable as an agent tool
- ✓GPT-4o, Claude, Gemini, Ollama, and custom endpoints
- ✓LangChain integration for multi-agent orchestration
- ✓Reasoning loops — agent decides what to do next
Make — API calls only
- ✓Can call any LLM API via HTTP module
- ✓Some native AI modules (Make AI)
- ✗No native "agent" concept — no reasoning loops
- ✗No structured memory — stateless per-scenario run
- ✗No native tool-use or function-calling support
- ✗No LangChain / multi-agent orchestration
Zapier — natural language UI only
- ✓Zapier AI helps build automations in natural language
- ✓Can call LLM APIs via Webhooks by Zapier
- ✗No native agent, memory, or reasoning node
- ✗AI features focused on workflow creation, not agent logic
- ✗No tool calling, no multi-agent support
- ✗Not designed for autonomous agent workflows
If your automation needs an LLM to decide what to do, loop until a condition is met, or use retrieved context from a vector store — n8n is the only realistic choice of the three. Make and Zapier are linear workflow tools; n8n is becoming an agent orchestration platform.
Feature Comparison
Capability by Capability
✓ Full support · ~ Partial / workaround · ✗ Not supported
| Feature | n8n | Make | Zapier |
|---|---|---|---|
Open-source / self-hostable n8n community edition is free and self-hostable; Make and Zapier are cloud-only SaaS | ✓ | ✗ | ✗ |
Native AI agent node n8n has a native Agent node with memory, tool use, and LangChain; others route through HTTP to LLM APIs | ✓ | ~ | ~ |
Visual flow canvas Make's canvas is the best designed; n8n is a functional node graph; Zapier is a linear step list | ~ | ✓ | ✗ |
Integration count Zapier has the most apps; all three cover the common SaaS stack; n8n fills gaps with HTTP/webhook nodes | 422+ | 2,000+ | 7,000+ |
JavaScript & Python code nodes n8n supports both JS and Python natively; Make and Zapier have limited JavaScript only | ✓ | ~ | ~ |
Pricing model Execution = entire workflow run; operation = each module step; task = each action step | Per execution | Per operation | Per task |
Error handling & retry logic n8n and Make have proper error branches and retry config; Zapier error handling is limited | ✓ | ✓ | ~ |
Workflow versioning / rollback n8n and Make support version history and rollback; Zapier does not have rollback | ✓ | ✓ | ✗ |
HIPAA / on-prem data control Self-hosted n8n gives full data sovereignty and PHI control; Make and Zapier are US-hosted SaaS | ✓ | ✗ | ✗ |
Human-in-the-loop / approval n8n has wait-for-webhook approval nodes; Make has limited approval flows; Zapier has none natively | ✓ | ~ | ✗ |
Sub-workflows / modularity n8n and Make support calling workflows from within workflows; Zapier Paths is more limited | ✓ | ✓ | ~ |
Free tier n8n self-hosted is free forever; Make and Zapier free tiers are trial-level usage only | Unlimited (self-host) | 1,000 ops/mo | 100 tasks/mo |
Decision Matrix
When to Pick Each Platform
No universally right answer exists. Each platform wins in a specific context.
When control, cost, and AI depth matter more than time-to-first-automation.
- →Building AI agent workflows with native LLM nodes, memory, and tool use
- →Backend engineers on the team who can own self-hosted infrastructure
- →Volume above 50k executions/month — per-execution pricing wins decisively
- →Need data sovereignty, HIPAA compliance, or on-prem deployment
- →Complex logic requiring Python/JS code nodes and custom API integrations
When your team needs the best UX and 2,000+ integrations without code.
- →Non-technical or mixed teams who build and maintain automations themselves
- →Operations, marketing, and RevOps workflows at moderate volume
- →Complex multi-branch scenarios that need visual clarity to manage
- →Teams wanting production-grade tooling without infrastructure ownership
- →Mid-range volume where Make's per-operation pricing beats Zapier significantly
When the specific app you need is only on Zapier or the team values zero friction.
- →The app you need is only on Zapier — 7,000+ integrations covers niche tools
- →Non-technical team needs the lowest possible learning curve
- →Low-volume automations where per-task cost is not the constraint
- →Quick one-off automations during product prototyping or MVP validation
- →Already invested in the Zapier ecosystem with many existing Zaps
Our default recommendation
For teams building AI-powered workflows or running high-volume automation, n8n is the strongest long-term choice: open-source, per-execution pricing, and native AI agent nodes create durable cost and capability advantages. For non-technical teams that need to move quickly without a dedicated engineer, Make is the best designed option at a fraction of Zapier's cost. Zapier is right when app coverage is the deciding factor.
Our Role
We Build on All Three. Here's How.
Hestur AI builds production workflow automation on n8n, Make, and Zapier. We choose the platform based on your team structure, volume, and whether AI agent depth is a requirement.
n8n engagements
Our preferred platform for any AI-native automation work. We architect n8n self-hosted deployments, build multi-agent pipelines with LangChain and vector store memory, and integrate with RAG systems for document-aware workflows.
AI agent orchestration, document processing, high-volume data pipelines, HIPAA-compliant healthcare workflows.
Make engagements
Common for RevOps and marketing clients who have non-technical operations teams. We set up the Make infrastructure, build the complex scenarios, then hand off to the client's team to manage via the visual canvas.
Sales automation, marketing ops, CRM sync, e-commerce order workflows, reporting pipelines.
Zapier engagements
We build on Zapier when a client already has Zapier in their stack and the use case is straightforward enough that migrating isn't worth the friction. We also help teams audit Zapier costs and recommend migration paths to n8n when the ROI case is clear.
Legacy Zap audits, cost-reduction migrations to n8n, simple trigger-action automations.
FAQ
Questions We Hear Most
Is n8n cheaper than Make and Zapier?+
Yes, significantly. n8n charges per workflow execution (one run = one execution regardless of how many steps), while Make charges per operation (each module step) and Zapier charges per task (each action step). For a 20-step workflow running 5,000 times per month (100,000 step-level operations), Zapier costs $400–600/month, Make costs ~$97/month, and n8n Cloud costs ~$50/month. n8n self-hosted costs ~$20/month for a small VPS with unlimited executions.
Can n8n be self-hosted for free?+
Yes. n8n Community Edition is open-source and free to self-host. You pay only for your server infrastructure — typically $5–20/month for a VPS. Self-hosted n8n gives you unlimited workflow executions, full data sovereignty, and the ability to run in a HIPAA-compliant environment. Make and Zapier are cloud-only with no self-hosted option.
Which is best for AI agent workflows — n8n, Make, or Zapier?+
n8n is the clear winner for AI agent workflows. It has a native AI Agent node with memory (in-context and vector store), tool use, LangChain integration, and support for reasoning loops. Make and Zapier can call LLM APIs via HTTP modules, but neither has a native agent primitive — they are linear workflow tools, not agent orchestration platforms.
Does Make have more integrations than n8n?+
Yes. Make has 2,000+ integrations, Zapier has 7,000+, and n8n has 422+. However, n8n covers the common SaaS stack and fills integration gaps with HTTP, webhook, and GraphQL nodes. For most production automation use cases, n8n's integration library is sufficient. The difference matters mainly when you need a specific niche app that n8n doesn't have a native node for.
When should I choose Make over n8n or Zapier?+
Choose Make when your team is non-technical or mixed, and the people building automations need a great visual interface without writing code. Make's canvas is the best designed of the three. It also has 2,000+ integrations, reasonable per-operation pricing (much cheaper than Zapier at scale), and strong error handling — making it suitable for production use without engineering overhead.
n8n vs Make.com: what is the core difference?+
n8n is code-friendly and AI-native: you can drop into JavaScript or Python inside any node, self-host it for free, and it has a built-in AI Agent node with memory and tool use. Make.com is the more polished no-code canvas, with more native integrations (2,000+ vs n8n's 422+) and a gentler learning curve for non-technical teams. Pick n8n if you want control, self-hosting, or AI agent workflows. Pick Make if your team needs a visual-first tool and doesn't want to touch code.
Not Sure Which Platform Fits?
Book a 30-minute call. We'll review your existing stack, workflow complexity, and team structure. We'll give you a clear platform recommendation backed by a cost projection.