Token Calculator

Calculate tokens in your text for AI models like GPT, Claude, and other LLMs. Estimate costs and optimize your prompts.

Accurate Counts
Real-time Analysis
100% Free
Supports plain text, code, and formatted content
words
Estimate tokens based on word count

Understanding Token Calculation

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What are Tokens?

Tokens are the basic units that AI models use to process text. They can be words, parts of words, or even single characters, depending on the model's tokenization method.

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Cost Estimation

Most AI APIs charge based on token usage. Our calculator helps estimate costs for popular models like GPT-4, GPT-3.5, and Claude to optimize your budget.

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Accurate Counting

Uses GPT-style tokenization approximation for reliable token counts. Perfect for estimating API costs and optimizing prompt length for better performance.

Real-time Analysis

Get instant token counts as you type. Analyze text length, complexity, and structure to optimize your prompts for AI models and API efficiency.

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Multiple Formats

Supports plain text, code, markdown, and mixed content. Accurately handles different content types with appropriate tokenization estimates.

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Developer Tools

Essential for developers working with AI APIs. Estimate token usage before API calls to avoid unexpected costs and optimize prompt engineering.

Token Usage & Pricing Facts

1 Token
≈ 0.75 Words (English)
1000
Tokens ≈ 750 Words
4096
Max Context (GPT-3.5)
128K
Max Context (GPT-4)

Token & AI Model Facts

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Different languages have different token-to-word ratios; English is most efficient

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Code typically uses more tokens than plain text due to special characters and syntax

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Shorter, more precise prompts often produce better results and cost less

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Both input and output tokens count toward your API usage and costs

Frequently Asked Questions

Our calculator uses GPT-style tokenization approximation, providing 95%+ accuracy for most content types. Exact counts may vary slightly between different AI models but are reliable for cost estimation.

Yes, different models may have slightly different tokenization methods. However, most modern models use similar approaches, so our estimates work well across GPT, Claude, and other popular LLMs.

Programming code contains special characters, symbols, and syntax that often require more tokens. Non-English languages may also be less efficiently tokenized than English text.

Use shorter, more precise prompts. Remove unnecessary words, use abbreviations where appropriate, and structure your requests efficiently. Clear, concise communication often works better anyway.

We update pricing regularly, but API costs can change. Use our estimates as a guideline and check official pricing pages for the most current rates before making budget decisions.

Absolutely! Our calculator is perfect for estimating costs before processing large batches of text through AI APIs. Test with sample content to get accurate projections.

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