AI cost planning
Count AI tokens and estimate API costs before your product ships.
Practical calculators for developers planning token usage, model spend, RAG systems, embeddings, prompt caching, and AI agent budgets.
Calculators
Start with the workload you are budgeting.
Token prices only tell part of the story. Real AI app cost depends on prompt size, output length, context, retries, retrieval, caching, vector storage, and user volume.
Token Counter & AI Cost Estimator
Estimate tokens, words, characters, per-request cost, and monthly model spend from pasted text.
OpenAI Token Calculator
Count OpenAI tokens with tiktoken-compatible encodings and estimate API request cost.
OpenAI API Cost Calculator
Estimate OpenAI API spend from requests, input tokens, output tokens, cached input, and budget buffer.
RAG Cost Calculator
Estimate embedding, vector storage, retrieval, and generation costs for a RAG system.
Embedding Cost Calculator
Calculate one-time and recurring document embedding costs before indexing a knowledge base.
Prompt Caching Savings Calculator
Compare uncached and cached input costs across repeated prompts and long context workloads.
AI Agent Cost Calculator
Estimate cost per completed agent task from model calls, retries, context, and outputs.
LLM Cost Calculator
Estimate monthly model spend from users, queries, input tokens, and output tokens.
Built for specific cost questions
Each page targets a practical budgeting task, not a generic AI article.
Formula-first pages
Calculators show the assumptions behind the result so users can adjust the model.
2026-07-02
Pricing assumptions are tracked separately from page copy for easier updates.