Estimate your AI API usage costs instantly. Select a model, configure tokens, and get a full cost breakdown.
Understand per-request costs to optimize spend and maximize return on every AI-powered feature.
LLM APIs charge differently for input and output tokens — knowing both is key to accurate budgeting.
Compare pricing across providers before committing to a model for production.
Project your costs at scale — from prototype to production — and avoid unexpected API bills.
It’s a tool that helps you estimate the cost of using large language model APIs by calculating pricing based on the number of input and output tokens consumed per request.
Multiply your input tokens by the input price per token, and output tokens by the output price per token. Add both to get the total cost per request.
Input tokens are the text you send to the model (your prompt). Output tokens are the text the model generates in response. They’re usually priced differently.
Pricing varies based on model size, capability, and provider. Larger, more capable models like GPT-5 or Claude Opus cost more than smaller models like GPT-5.2
A short prompt might use 100-500 input tokens. A detailed prompt with context can use 1,000-4,000. Responses vary from 200 tokens for a short answer to 2,000+ for detailed content.
Yes! Enter your expected tokens per request, then use the monthly estimate feature to project costs based on your daily request volume.
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