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LLM Prompt Token Counter & Words to Tokens Calculator

Paste any prompt, document, or code block to estimate BPE token count, word count, characters per token, and context window headroom for GPT-4o, Claude, and Gemini.

Estimated Tokens (GPT / Claude)

Words

Characters (with spaces)

–

Tokens / Word

Context window usage

8K Context (8,192 tokens)0%

32K Context (32,768 tokens)0%

128K Context (GPT-4o / DeepSeek)0%

200K Context (Claude Sonnet / Opus)0%

1M Context (Gemini Pro / Flash)0%

Est. Single-Spaced Pages0 pages

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Words to tokens conversion chart (100 to 200,000 tokens)

Quick reference for prompt engineers, developers, and writers working with GPT-4o, Claude, Gemini, and Llama.

Modern large language models tokenize text using Byte-Pair Encoding (BPE). In standard English prose, 1 token equals roughly 4 characters or 0.75 words (meaning 100 tokens ≈ 75 words, and 100 words ≈ 133 tokens). Punctuation, indentation, JSON keys, and non-Latin characters consume additional tokens per word.

Token Count	English Word Count (~0.75 w/tok)	Character Count (~4 chars/tok)	Pages (Single-Spaced)	Typical Document / Context Size
100 tokens	~75 words	~400 characters	0.15 pages	Short paragraph, email hook, or system instruction
500 tokens	~375 words	~2,000 characters	0.75 pages	Standard cold email or short blog intro
1,000 tokens	~750 words	~4,000 characters	1.5 pages	Short article or detailed few-shot prompt
2,000 tokens	~1,500 words	~8,000 characters	3 pages	Standard SEO blog post or 10-minute YouTube script
4,096 tokens (4K)	~3,070 words	~16,380 characters	6 pages	Long-form guide or academic essay
8,192 tokens (8K)	~6,140 words	~32,760 characters	12 pages	White paper or technical specification
32,768 tokens (32K)	~24,500 words	~131,000 characters	49 pages	Novella or multi-chapter report
128,000 tokens (128K)	~96,000 words	~512,000 characters	192 pages	Full-length non-fiction book (GPT-4o / DeepSeek window)
200,000 tokens (200K)	~150,000 words	~800,000 characters	300 pages	Large codebase or 500-page book (Claude context window)

Frequently asked questions

How many tokens is 1,000 words?

In standard English prose, 1,000 words is approximately 1,300 to 1,350 tokens (at the standard ratio of 1 token ≈ 0.75 words or 4 characters). Conversely, 1,000 tokens is roughly 750 English words.

What is the formula to convert words to LLM tokens?

For English text, multiply your word count by 1.33 (Tokens ≈ Words × 1.33) or divide total characters (including spaces) by 4 (Tokens ≈ Characters ÷ 4). Source code, JSON, and non-Latin scripts such as Japanese, Korean, or Chinese consume more tokens per character.

How many words fit in a 128K or 200K token context window?

A 128,000-token context window holds roughly 96,000 English words (about 300–350 book pages). A 200,000-token context window holds roughly 150,000 English words (about 500 book pages).

Is my prompt uploaded to any server when counting tokens?

No. All token, word, and character calculations run 100% locally in your web browser, making it safe for proprietary code and confidential system prompts.