AI app budgeting

AI Cost Calculator

Estimate monthly AI product cost from active users, AI actions, model calls, tokens, embeddings, retry overhead, infrastructure, and budget buffer.

Estimate AI app cost

Start with an app scenario, replace usage and token assumptions, then share or export the budget.

  1. 1Pick scenarioStart from a copilot, bot, RAG, or agent.
  2. 2Set usageEnter users, actions, calls, and tokens.
  3. 3Check budgetReview model, embedding, and overhead cost.
  4. 4Share or exportCopy the link or download the CSV.
Estimated monthly AI cost$0.00
Cost per active user$0.00
Cost per AI action$0.00
LLM inference cost$0.00
Embedding cost$0.00
Vector DB and infra$0.00
Budget with buffer$0.00
Effective LLM calls0
Monthly LLM tokens0
ProviderModelLLM costTotal app costCost / actionBudget with buffer
Planning estimate: this calculator combines model pricing with workload assumptions. It is useful before launch, pricing changes, or a model migration, but provider billing pages remain the final source.
Product cost

Start from users and actions

Budget the AI feature the way a product team sees it: users, actions, calls, and monthly spend.

Token costs

Separate input and output

Change token assumptions for prompts, responses, cached context, retries, and model alternatives.

RAG and infra

Add fixed platform costs

Include embedding tokens and a monthly vector database or infrastructure line item in the same estimate.

How to use this AI cost calculator

Use this page when you need a high-level budget for a chatbot, AI workflow, SaaS feature, agent, or RAG-backed product. Start with realistic usage: active users, AI actions per user, and model calls per action. Then refine token counts with a token counter or a provider-specific calculator.

The comparison table uses the same workload across available OpenAI, Claude, and Gemini models. For deeper provider-specific rules, use the AI API pricing calculator, OpenAI API cost calculator, RAG cost calculator, or AI agent cost calculator.

InputWhy it mattersNext page
Users and AI actionsTranslates token spend into product-level unit economics.LLM Cost Calculator
Prompt and response tokensInput and output tokens usually have different prices.Token Counter
Embeddings and vector DBRAG workloads often have indexing and storage costs outside the model call.Embedding Cost Calculator
Retries and buffersProduction traffic, failed calls, and safety checks can raise real spend.Prompt Caching Savings Calculator

FAQ

What does this AI cost calculator include?

It estimates LLM inference, embedding or indexing cost, vector database or infrastructure cost, retry overhead, and a budget buffer from one workload model.

Is this enough for production budgeting?

Use it for first-pass planning. Before purchasing or setting customer pricing, verify current provider pricing and add your own hosting, observability, support, and margin assumptions.

Sources

Prices in this site were last checked on 2026-07-04. Provider pricing and model availability can change.