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Tokenizer Compression Study

The same sentence costs many more tokens in some languages than others — and you pay per token.

Key Insight​

A tokenizer trained mostly on English splits other languages into far more pieces, so identical meaning takes more tokens. Measuring tokens per byte across languages exposes this hidden imbalance.

Why This Matters​

More tokens means higher cost, slower replies, and a smaller effective context window — which is why non-English users often get a worse, pricier experience from the very same model.