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LLM Token Estimator

Estimate token count and cost for any text prompt across OpenAI, Anthropic, Google, and other LLM providers.

Formula verified by CalcPro.pro Editorial TeamLast updated May 2025

Token Estimator

~0 tokens estimated (0 characters)

About This Calculator

Paste any text to instantly estimate its token count and API cost across all major LLM providers. Token counts are estimated at approximately 4 characters per token — the standard approximation for English text used by OpenAI's tokenizer.

How to Use This Calculator

  1. 1Paste your prompt or text into the input box
  2. 2Select your model
  3. 3Set the expected output-to-input ratio
  4. 4See token count and cost instantly

Formula Used

Tokens ≈ Characters / 4 | Cost = (Input Tokens / 1M × Input Rate) + (Output Tokens / 1M × Output Rate)

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FAQ

Frequently Asked Questions

Common questions about the llm token estimator answered.

How accurate is the 1 token = 4 characters estimate?+
For standard English prose, 1 token averages 3.5–4.5 characters. Code tends to be slightly fewer characters per token. Non-English languages, especially CJK (Chinese, Japanese, Korean), typically use 1–2 characters per token, meaning they cost 2–3x more than equivalent English text. For exact counts, use OpenAI's tiktoken library or Anthropic's token counting API.
Does whitespace and punctuation count as tokens?+
Yes — spaces, newlines, punctuation marks, and special characters all consume tokens. A line break is typically 1 token. Structured data formats like JSON or XML are token-intensive because of all the brackets and quotes. Minimising whitespace in system prompts and using compressed JSON can reduce token usage by 10–20%.

Token Pricing Across Models

Token pricing varies enormously across models. At 1,000 input tokens, GPT-4o costs $0.0025, Gemini 2.0 Flash costs $0.0001, and Claude Sonnet 4.5 costs $0.003. For a typical chatbot handling 10,000 conversations per day, model choice alone can mean the difference between $30 and $3,000 per month.

  • English text: ~1 token per 4 characters
  • Code: ~1 token per 3.5 characters
  • JSON/structured data: ~1 token per 3 characters
  • Chinese/Japanese: ~1-2 characters per token

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