RubanTools

AI Token Counter

Estimate token counts for GPT-4, Claude, and Gemini - with cost estimates per model. Paste your text and see instantly.

Input Text
Token Estimates

Paste text on the left to count tokens.

Cost Estimator

Token count needed for cost estimation.

Token Counting FAQ

Tokens are chunks of text that language models process. They are not the same as words - a token is typically 3–4 characters for English. Common words like "the", "is", "a" are single tokens. Longer or rare words may split into multiple tokens. Code often tokenizes less efficiently than prose. As a rule of thumb: 1 token ≈ ¾ word, or 100 tokens ≈ 75 words.

The context window is the maximum number of tokens a model can process in a single request - including both the input (prompt) and the output (completion). GPT-4o: 128K tokens. Claude 3.5 Sonnet: 200K tokens. Gemini 1.5 Pro: 1M tokens. Input exceeding the context window will be truncated or cause an error.

API pricing is per 1,000 or 1,000,000 tokens, with separate rates for input (prompt) and output (completion) tokens. Output tokens cost more because generating text is computationally heavier than reading it. The total cost = (input_tokens × input_price) + (output_tokens × output_price). Caching (prompt caching) can reduce costs for repeated prompts.