AI Token Cost Calculator

How the AI Token Cost Calculator Works

This tool estimates the cost of using large language model (LLM) APIs based on token consumption. All major AI providers — OpenAI, Anthropic, Google, Meta, and Mistral — charge per million tokens processed. This calculator converts your token usage into dollar amounts instantly using their published rates.

Tokens are not the same as words. A token is roughly 4 characters or ¾ of a word in English. 100 tokens ≈ 75 words. Most LLM APIs charge input (prompt) tokens and output (completion) tokens at different rates, with output tokens typically costing 2–5× more.

The Formula

Input Cost  = (Input Tokens  ÷ 1,000,000) × Input Price per 1M
Output Cost = (Output Tokens ÷ 1,000,000) × Output Price per 1M
Total Cost  = Input Cost + Output Cost

Per-timeframe cost:
  Daily Cost   = Total Cost per call × Requests per day
  Monthly Cost = Daily Cost × 30
  Yearly Cost  = Daily Cost × 365

Example: GPT-4o Mini, 2,000 input + 500 output per request, 1,000 req/month
  Input:  (2000 ÷ 1,000,000) × $0.15 × 1000 = $0.30
  Output: (500  ÷ 1,000,000) × $0.60 × 1000 = $0.30
  Total:  $0.60 / month

Model Pricing Reference

Prices shown are approximate and subject to change. Always verify with the official provider pricing page.

What Is a Token?

Tokens are the basic units that LLMs use to process text. In English, one token is approximately 4 characters or ¾ of a word. The exact tokenization depends on the model's vocabulary (BPE, SentencePiece, etc.).

• 1,000 tokens ≈ 750 words ≈ ~1.5 pages of text
• A typical chatbot prompt: 200–500 tokens
• A document summary task: 2,000–50,000 tokens
• A full codebase analysis: 100,000+ tokens
• GPT-4o context window: 128,000 tokens
• Gemini 1.5 Pro context window: 2,097,152 tokens

Frequently Asked Questions