Quick answer
Make.com pricing data reports Free at 1,000 monthly credits and Core at 10,000 credits, priced at $12 per month with annual billing or $16 with monthly billing. The listed prices reflect a check dated October 14, 2026, and the available claims don’t establish which plans, prices, or limits will apply in a future period.
Key numbers
- Free includes 1,000 monthly credits.
- Core includes 10,000 credits and is reported at $12 per month with annual billing or $16 with monthly billing.
- Most common actions use one credit, while Router and error-handler modules use none.
- A custom OpenAI, Anthropic, or Gemini connection costs one Make credit per operation, with AI-provider token charges billed separately.
The short version
- Estimate credits from the operations in each run; most actions use one credit, while Router and error-handler modules use none.
- Keep custom AI provider token charges separate from Make credits when estimating a workflow.
- Check the subscription for additional-credit bundle prices and expiry terms before relying on extra credits.
- Use Dashboard and Subscription usage figures and scenario History to compare actual consumption with your estimate.
- Recheck Make.com pricing before you upgrade, because plans and credit limits can change.
How does Make.com pricing work?
Make.com pricing is based on credits: Make defines credits as units customers buy and consume, while operations are individual module runs that use them. Most ordinary actions use one credit, but Router and error-handler modules use none, so a scenario’s module count alone doesn’t always equal its credit use.
Under Make.com pricing, reads, searches, creates, updates, deletes, transformations, aggregations, and iterations are among the actions that use one credit. A custom OpenAI, Anthropic, or Gemini connection costs one Make credit per operation, with the AI provider’s token charges billed separately.
Make AI Provider use is token-based and depends on the model; the stated Large-tier rate is 3,616 input tokens or output tokens per credit. The comparison table below separates those usage bases. That distinction helps you make a more grounded Make.com pricing estimate for an automation that combines ordinary modules with AI.
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Which Make.com plans and prices are supported by the available pricing data?
Available Make.com pricing data reports Free with 1,000 monthly credits and Core with 10,000 credits. Core is listed at $12 per month with annual billing or $16 per month with monthly billing. These are the plan allowances and prices supported by the supplied claims.
For this Make.com pricing snapshot, listed prices are in US dollars, exclude tax, and reflect a pricing check dated October 14, 2026. The source also says prices rise on a sliding scale as the credit allowance grows.
The available claims don’t establish which plans, prices, or limits will apply in a future period. They also don’t provide a complete list of plan limits or feature restrictions. So Make’s pricing beyond the reported Free and Core figures remains unknown from the available data; don’t treat these figures as a confirmed future price list.
How do monthly and annual billing affect the subscription total?
Reported Make.com pricing puts Core at $12 per month with annual billing and $16 per month with monthly billing, both for an allowance of 10,000 credits. Those are the two Core prices supplied for comparison.
Make doesn’t state a fixed percentage discount for annual billing. The difference between the reported options should therefore be described using those listed prices, not as a percentage saving.
For a Make.com pricing comparison, the evidence supports only the Core figures above; it doesn’t supply subscription totals for other plans. The available claims also don’t give a fuller billing schedule or additional terms that would support calculating a different total. Keep the comparison to the reported monthly price figures, and check the applicable subscription details before estimating a total for your own account.
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What happens when a workspace runs low on credits?
Make.com pricing claims say that when credits run low, Make offers additional-credit bundles of 1,000 or 10,000 at the price specified in the subscription. The available information doesn’t state a specific bundle price or establish a general overage rate.
For Make.com pricing decisions, the stated expiry rules matter too: extra credits expire one month after purchase on monthly plans, or at year-end on annual Pro and Teams plans.
Because Make.com pricing for extra credits depends on the price specified in a subscription, the ledger doesn’t support quoting a universal add-on cost. It also doesn’t say that every workspace is automatically upgraded when its included credits run out. Check the subscription’s stated bundle price and expiry terms rather than assuming an overage rate or automatic plan change.
How many credits might a workflow use in a month?
Make.com pricing estimates can start with a supplied example: monthly runs, each with five ordinary modules and one custom OpenAI step, use 1,200 Make credits. That example gives a credit estimate for the specified workflow, not a universal monthly cost.
For Make.com pricing, distinguish the Make-credit estimate from the AI provider’s charges. A custom OpenAI connection uses one Make credit per operation, while its token charges are billed separately by the provider.
The example helps a business team planning workflow automation estimate credit consumption for that particular run pattern. It doesn’t establish subscription costs for other run volumes, different workflows, or data-processing needs. The example therefore supports planning around a stated credit quantity, but not assigning a dollar price to an unspecified workflow.
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Which Make.com plan is the lowest-cost fit for different workloads?
Available Make.com pricing data supports a limited comparison: Free includes 1,000 monthly credits, while Core includes 10,000 credits and is listed at $12 per month with annual billing or $16 with monthly billing.
For a Make.com pricing decision, those figures alone don’t establish the lowest-cost fit for a solo user, a growing team, or a high-volume workload. The available claims don’t give complete plan limits, and the supplied workflow example covers only one usage pattern.
Without workload-specific usage and complete plan-limit information, Make.com pricing evidence here isn’t enough to recommend a plan for any of those groups. First estimate how often your scenarios run and how many credit-consuming operations they include; then compare that estimate with the stated allowance. The supplied data doesn’t establish whether any other plan or allowance would be a better fit.
What limits and billing details should you check before choosing a plan?
Before you choose a plan, Make.com pricing details to check include the expiry rules for extra credits: they expire one month after purchase on monthly plans, or at year-end on annual Pro and Teams plans.
For Make.com pricing estimates that include AI, separate the Make credits used by a custom connection from the AI provider’s token charges. A custom OpenAI, Anthropic, or Gemini connection costs one Make credit per operation, and provider token charges are billed separately.
AI credit units also aren’t standardized or intuitive across vendors, and the same credit count may buy different quantities of API calls. That makes a credit count from one AI service a poor substitute for checking another service’s stated usage basis. Finally, Make.com pricing claims here don’t supply a complete set of feature limits or restrictions for each plan, so those details remain unknown from the available evidence.
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How can you estimate and monitor monthly credit use?
Make.com pricing estimates become more useful when you check actual usage alongside a scenario-based estimate. Make’s Dashboard and Subscription pages show current-period credit use, while a scenario’s History can show credits used per run.
To check your Make.com pricing assumptions against activity, use these steps:
- Review current-period credit use on the Dashboard and Subscription pages.
- Inspect the scenario’s History to see credits per run, then compare that amount with your expected run volume.
- For credit- or agent-priced AI tools, review the previous three months of invoices to understand what was paid for.
Consumption dashboards can help identify which teams, workflows, or individuals drive usage and support spending limits at team and user levels. Monthly usage caps that alert users before overages, rather than triggering automatic upgrades, are also recommended as a way to manage spending. Monthly Make.com pricing still depends on actual usage and the subscription terms, so treat these checks as monitoring tools, not as a guaranteed cost forecast.
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| Credit system / use case | Usage basis | Rate or related detail |
|---|---|---|
| Most actions | use one credit | Router and error-handler modules use none. |
| A custom OpenAI, Anthropic, or Gemini connection | costs one Make credit per operation | token charges billed separately by the AI provider. |
| Make AI Provider usage | token-based and depends on the model | on the Large tier, the stated rate is 3,616 input tokens or output tokens… |
| AI credit units across vendors | AI credit units are rarely standardized or intuitive across vendors. | the same number of credits may buy different quantities of API calls from… |
Questions teams ask us
What does Make.com count as a credit?
Make defines credits as units customers buy and consume; operations are individual module runs that use credits. Most actions use one credit, while Router and error-handler modules use none.
What Make.com plans and prices are available?
The available data reports Free with 1,000 monthly credits and Core with 10,000 credits, priced at $12 per month with annual billing or $16 per month with monthly billing. It doesn’t establish which plans or prices will apply in the future.
What happens when a workspace runs low on credits?
Make offers additional-credit bundles of 1,000 or 10,000 at the price specified in the subscription. The available claims don’t give a specific bundle price or establish a general overage rate.
How much might a workflow use in a month?
The supplied example uses 1,200 Make credits for monthly runs, each with five ordinary modules and one custom OpenAI step. It doesn’t establish a subscription cost for other run volumes or data-processing needs.
How can you estimate and monitor monthly credit use?
Check current-period credit use on the Dashboard and Subscription pages, then inspect a scenario’s History for credits used per run. Reviewing the previous three months of invoices can also help assess credit- or agent-priced AI tools.
