Make is the visual workflow automation platform built by the team formerly known as Integromat. Scenarios combine drag-and-drop modules into flows with routers, iterators, aggregators, and error handlers. 2,000+ integrations, plus HTTP and webhook modules for anything else.
Pricing runs $0 to $29+/month after a May 2026 price drop. Credits replaced operations as the billing unit in August 2025 to reflect AI-module cost.
System Verdict
Pick Make if workflows branch, loop, or run at volume. Credit-based billing costs roughly a third of Zapier at equivalent workloads, and the May 2026 price drop widened the gap. The canvas handles routers and iterators natively instead of bolting them on. Native modules for GPT, Claude, and Gemini sit alongside SaaS connectors in one scenario.
Skip it if the integration library matters more than the canvas. Zapier ships 9,000+ connectors to Make’s 2,000+. Non-technical users land faster on Zapier. Regulated teams needing self-host belong on n8n.
Who pays which tier: Free for 1,000-credit testing, Core $9/mo for most teams, Pro $16/mo for priority execution and custom variables, Teams $29/mo for collaboration, Enterprise custom for governance and scale.
Key Facts
| Core product | Scenarios (visual multi-step workflows) |
| Integration count | 2,000+ apps |
| AI modules | OpenAI frontier models · Claude Opus 4.7 · Gemini 3.1 Pro · Stability AI |
| Billing unit | Credits (replaced operations, August 2025) |
| Pricing | Free · Core $9 · Pro $16 · Teams $29 · Enterprise custom |
| Free tier | 1,000 credits/mo · 2 active scenarios · 15-min interval |
| Self-host | None |
| Logic support | Routers, iterators, aggregators, error handlers, filters |
| Template library | 10,000+ community and official |
Every data point above was verified against vendor documentation on 2026-05-13. See Sources.
What it actually is
A visual automation canvas where each app connector is a module and data flows through the pipes you draw. Scenarios trigger on events and pass structured data through routers (branching), iterators (loops), and aggregators (collection) before landing in downstream modules.
Credits replaced operations as the billing unit in August 2025. Each module execution consumes credits. AI modules cost more per call than basic connectors, which is why the unit switched.
The moat is the pricing model, not the tool itself. Where Zapier charges per step of a multi-step workflow, Make charges per operation at roughly a third the cost. Complex scenarios stay affordable. The trade-off is a steeper learning curve and a narrower integration library.
When to pick Make
- Workflows loop or branch more than twice. Routers and iterators are first-class. Zapier Paths feel bolted on past 3-4 branches.
- Monthly task volume passes 5,000. Zapier task pricing inflates fast. Make’s Core plan covers 10,000 credits for $9 after the May 2026 cut.
- AI sits inside the workflow. Native OpenAI frontier models, Claude Opus 4.7, and Gemini 3.1 Pro modules handle text generation, classification, and extraction without webhook gymnastics.
- The operator is technical but not a developer. The canvas assumes comfort with data structures and conditional logic, not code.
- Predictable cost matters. Credit pricing stays flat as the workflow grows. Per-task models punish every new step.
When to pick something else
- Maximum integration breadth: Zapier ships 9,000+ apps, more than four times Make’s count. Long-tail SaaS tools are usually on Zapier first.
- Self-hosting or data residency: n8n. Free to self-host with unlimited executions.
- LangChain-native LLM pipelines: Langflow. Visual canvas for RAG, multi-agent, and retrieval chains.
- Customer-facing conversational agents: Voiceflow. Built for support and voice, not ops workflows.
- Non-technical first-time users: Zapier. Lower learning curve, AI Copilot builds flows from prompts.
Pricing
Subscription pricing via make.com/pricing. Annual billing saves roughly 15% over monthly rates.
| Plan | Monthly | Credits | Key limits | Who’s it for |
|---|---|---|---|---|
| Free | $0 | 1,000/mo | 2 active scenarios, 15-min interval | Testing |
| Core | $9 | 10,000/mo | Unlimited scenarios, 1-min interval | Most teams land here |
| Pro | $16 | 10,000/mo | Priority execution, custom variables, full-text log search | Growing ops |
| Teams | $29 | 10,000/mo | Team management, shared scenarios, roles | Collaborative teams |
| Enterprise | Custom | Custom | SSO, 24/7 support, enterprise apps, governance, Value Engineering team | Regulated orgs |
Prices verified 2026-05-13 via Make pricing. May 2026 cut: Core $10.59 to $9, Pro $18.82 to $16, Teams $34.12 to $29. Additional credits remain available as add-ons. Credits replaced operations as the billing unit in August 2025.
Against the alternatives
| Make | Zapier | n8n | |
|---|---|---|---|
| Integration count | 2,000+ | 9,000+ | 500+ |
| Pricing model | Credits (per module action) | Tasks (per action) | Executions (cloud) or free (self-host) |
| Cost at 10,000 ops | ~$9/mo Core | ~$103.50+/mo Company | Free self-host |
| Branching and loops | Native routers and iterators | Paths on Professional | Native |
| Self-host | None | None | Yes, free |
| AI integration | Modules for GPT, Claude, Gemini | Agents + Central | Native AI Agent nodes |
| Learning curve | Moderate | Lowest | Steepest |
| Best viewed as | Cost-efficient specialist | Incumbent generalist | Developer-friendly open source |
Failure modes
- Interface lag on large scenarios. Canvases with 50+ modules slow the browser. Heavy users split long scenarios into sub-flows.
- Fewer integrations than Zapier. 2,000+ covers mainstream SaaS. Niche tools may need HTTP modules and hand-built OAuth.
- AI modules burn credits faster. A single OpenAI frontier models call can consume several credits. Credit forecasts built on non-AI modules underestimate real cost.
- Credits model is newer than many guides. Content published before August 2025 still references operations. Plan sizing needs to use current pricing, not old articles.
- No native AI agents. Modules call LLMs but do not run autonomous agent loops. n8n ships true AI Agent nodes.
- Cloud only. No self-host path. Data routes through Make servers.
- No workflow export to other platforms. Migration to n8n or Zapier is a rebuild.
Methodology
This page was produced by the aipedia.wiki editorial pipeline, an automated system that ingests vendor documentation, verifies pricing and model details against primary sources, and generates the editorial analysis you are reading. No individual human wrote this review. Scoring follows the four-dimension rubric at /about/scoring/ (Utility × Value × Moat × Longevity, unweighted average). Last verified 2026-05-13 against the Make pricing page and Make’s help center billing notes.
FAQ
Is Make free? Yes. The Free plan includes 1,000 credits/month, 2 active scenarios, and 15-minute scheduling intervals. Suitable for testing and light personal automations (Make pricing).
How much does Make cost at scale? Core is $9/mo for 10,000 credits after the May 2026 price cut. Pro is $16/mo adding priority execution and custom variables. Teams is $29/mo for collaboration. Enterprise is custom (Make pricing).
Make vs Zapier? Make costs roughly a third of Zapier at equivalent volume. Zapier ships 9,000+ integrations vs Make’s 2,000+. Pick Make for complex workflows and cost efficiency, Zapier for maximum app coverage and simpler setup.
What changed with credits? Credits replaced operations as the billing unit in August 2025. AI modules cost more per call than basic connectors, and the credit system accommodates that variance. Plan sizing based on old operations counts may underestimate cost.
Can Make be self-hosted? No. Make is cloud-only. n8n is the standard pick for self-hosted workflow automation.
Sources
- Make pricing: current plan rates and credit limits
- Make product pages: scenario features and canvas capabilities
- Make integrations directory: live app count
- Make billing notes: credits migration from operations
Related
- Category: AI Automation
- Comparisons: n8n vs Make vs Zapier · Clay vs Make
