Users of non-English languages pay significantly higher prices for AI API usage due to inefficient token encoding methods.

AI companies charge approximately 60% more for processing non-English languages compared to English

The price disparity stems from BPE (Byte Pair Encoding) tokenization, which represents non-English text less efficiently

Non-English languages require more tokens to encode the same semantic content, directly increasing API costs for users

This creates a hidden pricing bias where language choice determines the actual cost per unit of information processed