Generative AI ROI Calculator
Model LLM ROI using request volume, token load, token pricing, platform run cost, and per-request value assumptions.
This is the LLM unit-economics model. It is distinct from generic ROI because token economics and request throughput are explicit inputs.
Use it when model pricing and request scale dominate economics, and when leadership needs direct visibility into inference cost sensitivity. It is built for prompt-driven products where throughput assumptions can change quickly.
Monthly inference cost
$520.00
Total monthly run cost
$5,520.00
Annual net benefit
$365,760.00
Payback period
2.95 months
How This Model Works
Uses request volume and input-output token assumptions to estimate inference spend.
Adds platform and operations cost for full monthly run-rate.
Compares run-rate against per-request value assumptions and estimates payback.
Field Definitions
Use these definitions to set assumptions consistently before comparing results across teams.
Requests / month
Expected monthly generation requests at steady-state usage.
Avg input tokens / request
Average input token volume per request including system and user context.
Avg output tokens / request
Average output token volume produced per response.
Input token cost per 1M
Provider pricing for one million input tokens for the chosen model class.
Output token cost per 1M
Provider pricing for one million output tokens for the chosen model class.
Platform/ops cost / month
Monthly non-token run cost, such as orchestration, observability, and governance.
Estimated value per request
Conservative business value captured per successful response.
Implementation cost
One-time build, integration, and launch cost for the solution.
Frequently Asked Questions
+Why split input and output token rates?
Many model pricing schedules charge input and output tokens differently.
+What is per-request value?
Estimated business value captured from each successful generated output.
+When should I use this over generic ROI?
When request throughput and model pricing are first-order economic drivers.
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