Opsmeter.io
AI Cost & Inference Control
LLM workload calculator
LLM cost calculator
Forecast blended LLM workload spend with current request volume and planned growth before budget, pricing, or capacity reviews.
Generic LLM plans miss how request growth changes monthly burn and unit cost once a workload starts scaling.
Result summary
Total monthly cost
$442.41
Forecast monthly requests
613,600
Cost per request
$0.0007
Feature workload cost
$119.45
Cost per user
$0.01
Feature workload requests
165,672
At 613,600 monthly requests, forecast spend is $442.41, with $0.0007 per request and $119.45 tied to active feature traffic.
Why this matters operationally
Forecast reliability
Model next-period spend with explicit traffic growth instead of static request volume.
Cross-team planning
Give product, finance, and platform teams one forward-looking cost baseline.
Guardrail calibration
Translate forecast volume into budget warnings and cost-per-request expectations.
How to use this estimate
Set current workload assumptions
Use current tokens, requests, and blended pricing for the active model mix.
Apply traffic growth
Forecast the request increase you expect next month or next rollout phase.
Read forecast outputs
Use projected requests, monthly burn, and feature workload cost to stress-test plans.
Turn estimates into live guardrails
Use the forecast here as the starting point, then compare forecast vs live burn inside one workspace.