AI Tokens to Words Converter

This converter is a numeric estimator, not a tokenizer. It answers planning questions — “how many words is 1,000 tokens?”, “how many tokens is my 2,000-word essay?” — about quantities you don't yet have as text. For an exact count of real text, the AI Token Counter runs the actual tokenizer approximation instead.

Every figure is a documented English-prose average. Let C be the characters per token for the model family and W = 5the average characters per word (including the trailing space). OpenAI's Help Center gives the canonical rule of thumb: 1 token ≈ 4 characters ≈ ¾ word for English— i.e. “100 tokens ≈ 75 words”. Anthropic documents Claude's tokenizer at roughly 3.5 characters per token, which is why Claude shows more tokens than GPT for the same text. A language multiplier L (English = 1.0, Other = 1.3) reflects that non-Latin scripts tokenise denser.

• tokens → characters: chars = tokens × C ÷ L
• characters → tokens: tokens = chars × L ÷ C
• words → characters: chars = words × 5
• characters → words: words = chars ÷ 5
• reading time: words ÷ 200 (words per minute)
• A4 pages: words ÷ 500
• % context: tokens ÷ context-window × 100
• API cost (USD): tokens × price-per-million ÷ 1,000,000

The two word routes — 4 chars/token ÷ 5 chars/word, versus OpenAI's ¾-word rule — bracket a small estimate band (1,000 GPT tokens lands at 750 to 800 words). The converter reports the upper figure and the band so you never over-commit a context budget. The character baseline keeps the conversion reversible: tokens → words → tokens returns the input within rounding.

The API cost column multiplies the token estimate by each family's published per-million rate (GPT GPT-5, Claude Claude Sonnet 4.5, Gemini Gemini 2.5 Flash, Llama Llama 4 Maverick) and converts to rupees at a static USD→LKR 305. It is no substitute for a live invoice — output length, cached input, and tier all move the real number — but it is accurate enough to decide whether a job costs a fraction of a cent or a few dollars.

Both word columns are valid estimates; the true count for any specific text sits inside this band. Claude tokens pack ~3.5 characters each, so its word counts run slightly lower — switch the family in the converter above.

• OpenAI Help Center — What are tokens and how to count them? (1 token ≈ 4 chars ≈ ¾ word)
• OpenAI Tokenizer — interactive token playground (tiktoken)
• Anthropic — Token counting (Claude ~3.5 chars/token)
• Google — Gemini token counting (SentencePiece)
• OpenAI API pricing — per-million token rates
• Anthropic pricing — Claude per-million token rates

Ratios and prices on this page were last cross-checked against the vendor documentation on 2026-06-05. Every figure is a documented English-prose average labelled an estimate — not an exact tokenisation.