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AI API Prompt Budget & Monthly Spend Forecaster

Forecast monthly and annual API infrastructure costs based on daily active users, requests per user, average prompt length, and cached token discounts.

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1. Traffic & Usage Parameters

1,000 users
10 queries/day
1 (Occasional) 10 (Daily Workflow) 50 (Heavy Power User) 150 (Automated Tool)
1,500 tokens
400 tokens

2. Model & Architecture Tuning

Live Prices Synced
Live prices
35% Cache Hit

Applies 50% - 90% discount to cached input tokens on repeated system prompts and RAG contexts.

1.0x (Direct Call)
$20.00 / mo

Used to compute SaaS gross margin after AI compute costs.

Monthly Projected Spend
$2,295.00
৳ 2,79,990 BDT
Annual Run-Rate
$27,540.00
Estimated 12-month cloud bill
Cost Per Active User
$2.30 / mo
$0.0076 / request
SaaS Gross Margin
88.5%
Net Profit: $17,705 / mo
Monthly Query Throughput
300,000

10,000 queries/day across active users

Total Tokens Processed
570.0M Tokens/mo

450M Input | 120M Output

Cache Savings Realized
$393.75 / mo

Reduced input cost by 35%

What-If Cost Optimization Scenarios

See how your monthly burn changes if you route traffic or background workers to high-efficiency models.

Model Architecture Monthly API Burn Annual Burn Cost / User / Mo Monthly Difference Runway Impact

Recommended Breakeven Subscription:

To maintain a healthy 75% gross SaaS software margin, charge at least $9.20/month per active subscriber.

Production Optimization Recommendation:

Use prompt caching and consider a dual-model tiering pattern: route 80% of classification and simple queries to a low-cost model (e.g. GPT-4o-mini or Gemini 1.5 Flash) and reserve flagship models for complex reasoning.

Informational & Educational Disclaimer

This tool is designed for informational and educational estimation purposes only. Calculations are based on user-provided inputs and standard mathematical formulas. For official tax, legal, or financial decisions, please consult certified professionals or official government publications.

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