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Tokens to Words Calculator
Convert a token budget into rough English word count, document pages, and CJK character capacity for context planning.
Private: client-side only.Free: no account or API key.Pricing data verified 2026-08-23
Typical English words75,000
Practical English range65,000–85,000
Approx. 500-word pages150
Approx. CJK characters95,000
Rule of thumb
Tokens are not words.
A token can be a whole word, part of a word, punctuation, whitespace, or a character. The conversion changes with language, formatting, and tokenizer.
For English planning, about 0.75 words per token is a useful midpoint—not a billing-grade conversion.
1,000 tokens≈ 750 typical English words.
100,000 tokens≈ 75,000 typical English words, or roughly 150 pages at 500 words each.
Need the reverse?Paste the actual document into the AI Token Counter for a text-based estimate.
Words to tokens, by content typeProse, code, JSON and HTML convert at different rates — plus what 1,000 words costs on each model: How Many Tokens in 1,000 Words?.
What 100K tokens is~75,000 words, 150 pages, and the chunk size that stays under OpenAI's 272K surcharge: How Many Words Is 100K Tokens?.
Context windows explainedInput and output share one budget — window sizes, output caps and what it costs to fill one: What Is a Context Window?.
What a token isThe unit behind every estimate — ~4 characters, 0.75 words: What Is an AI Token?
Sending scraped HTML?Measure what cleaning it saves: HTML Token Savings.
1M tokens in words750,000 words, 1,500 pages — and why only 5 of 8 models accept it in one request: How Many Words Is 1M Tokens?
Trim the promptFind repeated instructions, markup and filler: Prompt Weight Analyzer
Stop paying twiceChat re-sends its history every turn — 96.6% of input tokens on a 20-turn conversation: Conversation Cost Growth Calculator.
The full cost playbookSeven levers ranked by return, from re-sent history to a 22.7x model spread: How to Reduce LLM API Costs.
Input vs outputWhy the reply costs 5.0x–8.3x more per token than the prompt, and the break-even ratio: Input vs Output Tokens.
A 200-page PDF133,333 tokens, and the one model where it nearly does not fit: Can a 200-Page PDF Fit in an LLM?.
How pricing worksPer-1M rates, two counters and the formula behind every number on this site: How LLM Token Pricing Works.
Flat plan vs meteredWhere a monthly subscription stops being cheaper — break-even requests per day on all 8 models: API vs Subscription Break-even.
Retrieval-shaped costsChunk size, top-k and overlap priced per query, and what one more retrieved chunk costs: RAG Context Cost Calculator.
Agent loopsWhy an 8-step agent sends 66,400 input tokens, 75.9% of it re-read history: Agent Loop Cost Calculator.
Price directionIs token pricing going up or down? The eight-model basket index reads 87.1 against its 2026-08-09 baseline — down 12.9%, with both cuts scheduled to lapse: LLM Pricing Index.
A fourth providerDeepSeek prices input three ways — a cache-hit rate, a cache-miss rate and a peak/off-peak clock — at $0.30/$1.20 per 1M tokens on flash at peak, exactly half off-peak, with a 384,000-token output cap: DeepSeek API Pricing.
FAQ
Tokens-to-words questions
How many words is 1,000 tokens?
About 750 English words is a useful rough estimate, with substantial variation by text and tokenizer.
How many pages is 100K tokens?
Using 75,000 English words and 500 words per page gives roughly 150 pages.
Does code follow the same conversion?
No. Code, JSON, tables, and heavily punctuated text can tokenize very differently from normal prose.