About this n8n Workflow Cost Calculator
Use this calculator to estimate monthly n8n workflow costs across hosted, self-hosted, or hybrid automation setups.
When to use it
- Compare hosted n8n pricing against self-hosted compute costs.
- Estimate per-customer workflow cost for AI automation services.
- Budget scheduled workflows before increasing trigger frequency.
How to use this calculator
- Enter expected workflow executions per month.
- Add the average runtime per execution in seconds.
- Enter any per-execution fee, compute cost per hour, and fixed monthly cost.
- Review total monthly cost and cost per execution.
Key assumptions
- Runtime is averaged across all executions.
- Compute pricing is treated as a flat hourly rate.
- The calculator runs locally in the browser and does not inspect workflow data.
Accuracy and testing
Review formula sources, default test cases, assumptions, unit handling, rounding rules, and changelog for this calculator.
How this calculator works
Inputs explained
Executions per month
Expected number of workflow runs in a monthly period.
Average runtime seconds
Average wall-clock time one execution runs before finishing.
Price per execution
Any direct per-execution platform or metering charge.
Compute cost per hour
The hourly cost of servers, containers, or worker compute used by the workflow.
Fixed monthly cost
Base subscription, hosting, monitoring, or platform cost that applies regardless of usage.
Understanding your results
Example scenarios
Light support automation
5,000 monthly executions at 8 seconds each uses about 11.1 runtime hours before fixed and per-execution fees.
AI enrichment pipeline
20,000 executions at 30 seconds each uses about 166.7 runtime hours, so compute cost may matter even when per-execution fees are small.
Key Features
- Instant Calculation
- Private & Secure
- Mobile Optimized
Tips & Best Practices
- Use production execution history for runtime estimates when available.
- Separate expensive AI/API calls from workflow platform costs for clearer margins.
- Watch long-running workflows because runtime can dominate self-hosted cost.