Study: non-English languages can consume far more AI tokens, with the most expensive using 1.5x-5x more than the cheapest, resulting in a "tokenizer tax"
THE SO WHAT
A 1.5x–5x token gap across languages means global products are quietly paying a “tokenizer tax” for serving non-English users—higher costs and often worse performance. If you operate in multilingual markets, you need to model language mix into your AI unit economics and push vendors on tokenizer and model choices, not just headline pricing.
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