Opsmeter.io
AI Cost & Inference Control
OpenAI calculator
OpenAI cost calculator
Use provider-specific pricing assumptions, cached-token coverage, and request volume to estimate OpenAI spend before deployment or budget review.
Teams often estimate OpenAI spend from rough totals and miss cached-token savings, cost-per-request drift, and user concentration risk.
Result summary
Total monthly cost
$237.51
Cost per request
$0.0008
Cached input savings
$39.69
Cost per user
$0.01
Monthly input spend
$86.31
Monthly output spend
$151.20
Projected OpenAI spend is $237.51, with $0.0008 per request and $39.69 in cached-input savings.
Why this matters operationally
Provider-specific planning
Model OpenAI request cost with actual input/output pricing and cached-token assumptions.
Budget confidence
Estimate spend before traffic or prompt changes hit the invoice.
Live follow-through
Turn this estimate into endpoint and tenant guardrails once the feature ships.
How to use this estimate
Set OpenAI traffic assumptions
Enter average tokens and monthly request volume for the workload you are planning.
Apply live and cached pricing
Separate standard input cost from cached input cost to see effective unit economics.
Review spend and savings
Use cost per request, cost per user, and cached-token savings to sanity-check the workload.
Turn estimates into live guardrails
Use this estimate to set endpoint, tenant, and prompt-level OpenAI guardrails in production.