Workflow runs per month
2,000
Scheduled, webhook, or manual n8n executions.
n8n workflow cost planning
Forecast OpenAI usage inside n8n workflows by modeling workflow runs, AI nodes, tokens per step, and monthly automation volume.
Start with these editable numeric assumptions, then adjust the calculator fields to match your own traffic and token usage.
Workflow runs per month
2,000
Scheduled, webhook, or manual n8n executions.
AI steps per workflow
1
OpenAI nodes or HTTP calls that invoke a model per run.
Input tokens per step
1,200
Prompt instructions, fields, prior node output, and context.
Output tokens per step
600
Generated JSON, classification, summary, or drafted content.
Choose a model and edit the numeric assumptions for this n8n OpenAI workflow scenario.
Input price
$3.00 / 1M tokens
Output price
$12.00 / 1M tokens
This model uses placeholder example pricing. Verify the official source before using it for planning.
Estimate traffic and token usage for an average request.
Run the calculator to see usage volume and projected cost.
Use the result as a planning estimate, then validate against provider pricing and real usage once the workflow is live.
Estimate how much each AI-enabled workflow costs before adding retries or high-volume triggers.
Use the monthly estimate to compare OpenAI-powered workflows with manual operations or SaaS automation limits.
Trim large node outputs before sending them to OpenAI when workflow context is the main cost driver.
These options come from the central model data and are suggestions to evaluate, not claims that one model is best for every workload.
OpenAI
Tool-calling capable option to evaluate for structured workflows.
Input $3.00 / 1M, output $12.00 / 1M.
Open modelOpenAI
Tool-calling capable option to evaluate for structured workflows.
Input $1.00 / 1M, output $4.00 / 1M.
Open modelMove between use-case calculators, provider pages, and pricing comparisons without entering private content.
Short answers for estimating this scenario without sharing private prompts, documents, or customer data.
Each run that calls OpenAI creates one or more model requests. Multiply runs by AI steps and average token usage to estimate spend.
Yes. If workflows retry failed calls or branch into multiple AI steps, include those calls in the requests per day estimate.
No. The calculator only uses numeric assumptions and safe model/provider slugs, not workflow payloads or private text.