AI cost management for product teams
Control LLM token spend and AI API spend before they break your budget.
LLM cost intelligence for developers. Forecast every workflow so AI costs never surprise you again.
Free calculatorsNo AI API key requiredBuilt for teams
AI budget controlTeam forecast
Projected monthly API spend$12,840
Cost per active user$0.43
Budget risk avoided$3,180/mo
Model price watchlist3 tracked
The problem
AI teams are shipping faster than their budgets can keep up.
Long prompts, higher output volume, model upgrades, retries, vector search, and tool subscriptions can turn a promising AI feature into an unpredictable monthly bill.
Token spend is hard to predict
Input context, chat history, retrieved documents, and long responses compound quickly as usage grows.
Model prices and names change
Teams need a simple way to compare providers and understand how price changes affect forecasts.
Finance lacks product-level visibility
Engineering teams often know the prompts, while finance sees only the invoice after the fact.
AI subscriptions stack up
API bills, SaaS tools, observability, storage, and add-ons create budget pressure across teams.
Commercial SaaS workflow
From free calculators to team AI cost planning.
Start with browser-based calculators, then move serious teams toward repeatable budget planning, model price checks, uploads, and report-ready data.
Estimate token usage
Use the free AI token calculator to understand prompt, context, and response size before making API calls.
Forecast API budgets
Model per-request, daily, monthly, yearly, and 100 / 1,000 / 10,000-user cost scenarios.
Compare model economics
Choose between OpenAI, Claude, Gemini, DeepSeek, Grok, and other models based on real unit costs.
Analyze usage in bulk
Upload CSV or XLSX prompt samples to estimate token cost across many rows before launch.
Prepare price monitoring
Build a watchlist so provider pricing changes do not silently damage product margins.
Prepare team reports
Turn project usage, uploads, model mix, and budget limits into report-ready data for engineering and finance.
Who it is for
View pricingBuilt for founders, AI builders, and teams that need cost accountability.
AI SaaS founders
Validate margins before pricing your own AI product.
Product and engineering teams
Choose the right model for each workflow and keep token budgets visible.
Finance and operations
Translate AI usage into monthly forecasts, budget limits, and team reports.
Latest guides
View all guidesLearn how to control LLM token spend before it becomes a margin problem.
How to Reduce LLM Token Costs: 10 Practical Ways to Lower AI API Spend
A practical guide to lowering LLM token costs with prompt optimization, model routing, caching, batch processing, and AI API budget planning.
10 min read - Updated 2026-06-19OpenAI API Cost Calculator: How to Estimate Monthly AI Spend
A practical guide to forecasting OpenAI API spend from tokens, requests per day, active users, and model pricing.
6 min read - Updated 2026-06-16Input Tokens vs Output Tokens: Why AI API Costs Are Different
Understand the difference between input and output tokens and why output tokens usually drive a large share of AI API bills.
5 min read - Updated 2026-06-16Live calculator
View pricingStart with a practical AI API budget forecast.
Live estimate
Usage assumptions
Per-user cost estimate
Monthly cost per user$0.76Estimated for one active user from the request volume above and 30 days per month
Per request$0.0032
Daily per user$0.03
Yearly per user$9.20