How many tokens is 1,000 words in English?

Roughly 1,300 tokens. English averages about 1.3 tokens per word because most common English words map to a single token, but punctuation, spacing, and occasional multi-token words push the average above 1.0. For precise counts, run your text through a tokenizer like tiktoken rather than relying on

Why do non-English languages use more tokens?

Most tokenizers are trained on datasets dominated by English text, so English words appear frequently enough to be encoded as single tokens. Characters from non-Latin scripts — such as Chinese, Japanese, Arabic, and Korean — appear less often in training data and get split into smaller subword piece

Do different AI models tokenize the same text differently?

Yes. Each model family typically uses its own tokenizer. For example, GPT-4 uses the cl100kbase tokenizer while Claude uses a separate tokenizer with a different vocabulary. The same sentence can produce different token counts depending on which model you target, so always verify with the specific t

Does whitespace count as tokens?

Whitespace is usually merged with the word that follows it. For instance, "Hello world" tokenizes as ["Hello", " world"] — the space before "world" is part of that token. This means adding extra spaces or line breaks can increase your token count, which is worth keeping in mind when formatting promp

How can I reduce my token usage to save on API costs?

Use shorter, more common words ("use" instead of "utilize"), minify JSON payloads, and shorten field names in structured data. For multilingual applications, consider summarizing non-English content into English before sending it to the API. These steps can reduce token counts by 20-90% depending on

AI Tokens vs Words: Why They're Not the Same

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