Make Pricing 2026: Free, Core, Pro, Teams & Credits
Make pricing explained: Free, Core, Pro and Teams costs, credit usage, annual savings, AI-agent consumption, extra credits and plan value. Review plans.

Make uses credit-based pricing. A credit generally represents one module action executed inside a scenario, such as reading a record, creating a CRM object or adding a row to a spreadsheet. The Free plan includes 1,000 credits per month. At the currently displayed 10,000-credit level, Core costs $12 per month, Pro $21 and Teams $38. Enterprise is custom.
The key pricing lesson is that credits are not the same as workflow runs. If one scenario executes six modules, a successful run can consume roughly six credits. If that scenario loops over ten records, some modules may execute ten times. The workflow's architecture therefore has a direct effect on cost.
Quick verdict
Key takeaways
- Free costs $0 and includes 1,000 credits/month
- Core costs $12/month at 10,000 credits
- Pro costs $21/month at 10,000 credits
- Teams costs $38/month at 10,000 credits
- Enterprise pricing is custom
- Annual billing saves 15% or more
- Each module action generally counts as one credit
- Higher monthly credit tiers are available up to millions of credits
- Core, Pro and Teams can purchase extra credits if usage runs out
- Connected SaaS subscriptions and external AI APIs can add separate costs
Make pricing checked on September 24, 2026 against Make's official pricing page and current 10,000-credit plan selector.:
Visual automation platform for workflows, AI agents, integrations and MCP tools
Best for: Operations, marketing, sales and technical teams that need transparent visual automation across many SaaS apps, APIs and AI models.
- 9,000+ App Integrations
- Enterprise security and governance
- Make AI Agents
- Routers and Filters
- Execution Logs
- G2 reviewers consistently praise Make's broad automation capabilities and ability to connect many business applications in one visual workflow.
- The platform supports 3,000+ verified apps and can also connect custom systems through APIs, reducing the need for custom integration code.
- Make AI Agents combine adaptive AI reasoning with visible deterministic automation rather than hiding agent behavior in an opaque black box.
- G2 reviewers report a learning curve for more complex routers, iterators, data mapping and advanced multi-step scenarios.
- Credit consumption can become difficult to forecast because every module action in every scenario run contributes to usage.
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Make pricing plans at a glance
| Plan | Current price at displayed tier | Credits | Best fit |
|---|---|---|---|
| Free | $0 | 1,000/month | Learning and low-volume scenarios |
| Core | $12/month | 10,000/month | Production workflows, API access and one-minute schedules |
| Pro | $21/month | 10,000/month | Higher-performance automation and stronger execution tooling |
| Teams | $38/month | 10,000/month | Collaboration, roles and shared scenario templates |
| Enterprise | Custom | Custom | Large-scale automation with advanced security and support |
Make Free pricing
Free costs $0 and has no time limit. It includes 1,000 credits per month, the visual no-code builder, more than 3,000 apps, routers and filters, customer support and a 15-minute minimum scheduled interval.
Free is enough to learn the platform and run light personal automations. The 15-minute scheduling floor and 1,000-credit allowance become limiting once a workflow is business-critical or runs frequently.
Make Core pricing
Core costs $12 per month at the currently displayed 10,000-credit level. It adds unlimited active scenarios, scheduling down to one minute, higher data-transfer limits and Make API access.
Core is usually the most economical production tier for a small company because it unlocks the operational features many real workflows require without the price jump to Pro.
Make Pro pricing
Pro costs $21 per month at 10,000 credits. It includes everything in Core plus priority scenario execution, custom variables and full-text search across execution logs.
Priority execution can matter when workflows compete for shared platform resources during busy periods. Full-text log search also becomes valuable when a team needs to troubleshoot many production runs rather than manually opening individual executions.
Make Teams pricing
Teams costs $38 per month at the same displayed 10,000-credit level. It includes everything in Pro plus team roles and the ability to create and share scenario templates.
The plan is therefore about collaboration and governance rather than simply buying more credits. A solo automation builder generally receives more value by increasing the credit tier on Core or Pro than by moving to Teams solely for usage capacity.
Make Enterprise pricing
Enterprise is custom-priced. Current features include everything in Teams plus custom functions, enterprise app integrations, 24/7 support, access to Make's Value Engineering team, overage protection and advanced security features.
Enterprise should be evaluated as an operating platform rather than just a larger credit package. Buyers should ask about usage allowances, security controls, support SLAs, data retention and the commercial treatment of overages.
How Make credits work
Make says each module action in a scenario counts as a credit. If a workflow fetches a row, enriches it, updates a CRM record and sends a Slack message, those are separate module actions. The number of full business processes completed can therefore be much lower than the credit count.
Loops have an even bigger effect. A module processing 100 records can execute 100 times in one scenario run. Filters can help reduce downstream execution when they stop unnecessary items early.
Credit efficiency tips
Efficient scenario design can materially lower cost. Filter early so unwanted records do not continue through later modules. Batch records where connectors support it. Avoid duplicate lookups by storing reusable data. Remove modules that only reformat data if the transformation can be done inside another step.
For AI workflows, use the simplest model and tool chain that meets the requirement. An agent that repeatedly calls search, CRM and generation tools can consume far more credits than a deterministic scenario.
Higher Make credit tiers
Make's pricing selector currently scales from 10,000 credits into much larger allowances, including hundreds of thousands and millions of monthly credits. The subscription price changes according to the selected volume.
This makes Make suitable for organizations that grow from a few automations into a large automation portfolio without changing platforms. High-volume users should compare the marginal price per additional credit rather than only the headline plan.
What happens when Make credits run out?
Make says users can upgrade their subscription before the term ends, buy extra credits in bundles or enable automatic extra-credit purchasing on eligible Core, Pro and Teams plans. Webhook work can queue within available limits while credits are unavailable, and polling scenarios can resume looking for records after usage is restored.
Annual Make pricing
Make currently advertises annual billing as saving 15 percent or more compared with equivalent monthly billing. The exact annual total depends on the plan and selected credit tier, so buyers should use the live pricing selector rather than applying one fixed annual price to every usage level.
External costs to budget
Make subscription credits cover Make's orchestration, but connected products can charge separately. OpenAI, Anthropic or other model providers can add usage fees. Salesforce, HubSpot, NetSuite or other SaaS products may require their own subscriptions or API access. Storage, databases and external services remain separate from Make unless explicitly bundled by those providers.
Make AI Agent costs
AI Agents run inside Make's credit model. The agent itself can decide which tools to call, and those tool calls can trigger additional module executions. This makes agents more variable than fixed scenarios.
A useful practice is to compare an agentic workflow with a deterministic version. If the process has fixed rules, an ordinary scenario can often be cheaper and easier to predict. Use an AI Agent when the work truly requires judgment or interpretation.
Make cancellation and refunds
Self-serve subscriptions can be changed or canceled from account billing. Paid access follows the current billing term. Make does not publish a universal blanket refund promise for ordinary subscription use; refunds or credits depend on the applicable agreement, order and law.
Which Make plan offers the best value?
Choose Free for learning and small personal workflows. Choose Core for most production automation. Choose Pro when performance, variables and execution-log search matter. Choose Teams when multiple builders need roles and shared templates. Choose Enterprise when security, support and governance requirements are the main purchasing drivers.
Make pricing compared with alternatives
Zapier Professional currently starts at $19.99 per month on annual billing and uses task-based pricing, while Team starts at $69 per month. n8n Cloud Starter is €20 per month billed annually for 2,500 complete workflow executions with unlimited steps. Gumloop Pro starts at $37 per month with 20,000 credits, unlimited seats and usage-based AI economics after included capacity.
These units are fundamentally different. Make charges for module actions, Zapier charges tasks with different rates for some AI and programmatic actions, n8n charges full workflow executions regardless of step count, and Gumloop prices AI-agent usage around model, tool and compute cost. Compare the same business process on each system.
Related Make articles
Final pricing verdict
Make remains competitively priced at the entry level. Core at $12 for 10,000 credits can support substantial automation when scenarios are designed efficiently. Pro and Teams add operational and collaborative capabilities without forcing a move to enterprise pricing.
The biggest pricing risk is underestimating module execution. A workflow that looks like one business process can consume many credits, especially when it loops or invokes AI tools. Track actual scenario history for a representative week and use module executions—not workflow count—to decide the right tier.
Expert tip
— SearchSagar editorial team