The Tokenizer Tax: Why AI Sticker Prices Are a Lie
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The 'price per million tokens' metric is a misleading illusion because different model tokenizers can quietly inflate your bill by over 70% for the exact same code.
How text is split into tokens for language models, including tokenizer design, vocabulary construction, byte-pair encoding, and the downstream effects of tokenization choices on model behavior and output.
The 'price per million tokens' metric is a misleading illusion because different model tokenizers can quietly inflate your bill by over 70% for the exact same code.

Claude 4.7 uses significantly more tokens for the same text, increasing session costs by ~30% in exchange for better instruction following.
Models compose “seahorse + emoji,” but with no matching token the unembedding snaps to a nearby emoji, causing confident errors and occasional feedback loops.