LLM Usage & Budget Modeler
Most LLM cost overruns happen because teams model a single use case in isolation rather than the full product. A production AI product has multiple LLM calls per user action: a user message triggers retrieval, a synthesis call, a moderation check, and a response. This modeler lets you define every LLM call in your product, assign usage rates, and project total monthly cost at current, 3x, and 10x scale — so you can design for unit economics before you hit a surprise AWS bill.
Inputs coming in next batch
The full calculator is in active build. When it ships, you'll be able to model:
- Number of distinct LLM call types in your product (e.g., summarization, Q&A, moderation)
- Per call type: provider, model, input tokens, output tokens
- Daily active users (current)
- Average LLM calls per user per day (by call type)
- Monthly growth rate
- Percentage of users on paid vs free tier (for model downgrade modeling)
- Safety margin percentage
Per call type: daily cost, monthly cost, cost per user. Total monthly LLM spend at current scale. Projected spend at 3x and 10x scale. LLM cost as percentage of revenue (enter your ARPU). Break-even user count where self-hosting becomes cheaper. Monthly budget with safety margin.
Frequently asked questions
The information and tools on this website are for general educational purposes only and do not constitute financial, investment, legal, or tax advice. Consult a licensed professional for decisions specific to your situation.