Free AI Token Cost Calculator
Estimate monthly API costs for OpenAI, Anthropic, and other LLM providers based on usage.
Usage Parameters
Determines the average input/output tokens per request
~1 paragraph prompt, ~1 paragraph response
~200 input tokens · ~150 output tokens per request
How many API calls your app will make daily
Input: $0.0025 / 1K tokens · Output: $0.0100 / 1K tokens
Estimated Costs
Monthly Cost
$0.60
Annual Cost
$7
Daily Cost
$0.02
Cost Per Request
$0.00200
Daily Input Cost
$0.01
Daily Output Cost
$0.01
How to Estimate AI API Costs
AI API costs can make or break your product's unit economics. LLM providers like OpenAI, Anthropic, and Google charge per token, and costs vary dramatically by model — from $0.15/M tokens for small models to $75/M for frontier reasoning models. This calculator helps you estimate your monthly API spend based on request volume, token counts, and model selection.
- Compare costs across GPT-4o, Claude Sonnet/Opus/Haiku, Gemini, and Llama models
- Estimate daily, monthly, and annual API costs based on your usage patterns
- Calculate per-request costs to inform your product pricing
- Model how scaling user volume affects your infrastructure costs
AI Token Cost Calculator FAQ
A token is a chunk of text that language models process. On average, 1 token equals about ¾ of a word in English. The word "hamburger" is 3 tokens, while "the" is 1 token.
Output tokens cost more because generating text requires more computation than reading it. The model must run inference for each output token sequentially, while input tokens can be processed in parallel.
Use smaller models for simpler tasks (e.g., Haiku for classification, Sonnet for complex reasoning). Implement caching for repeated queries. Reduce prompt length by being concise. Use streaming to stop generation early when possible.
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