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The African Language Tax: Quantifying the Cost, Latency, and Context Penalty of Tokenizing African Languages in Frontier LLMs

arXiv cs.CL ↗ · 2026-06-24 Cached

This paper systematically quantifies the tokenization penalty for 20 African languages across 11 frontier and open tokenizers, finding up to 8.9× inference cost and latency multipliers and as little as 11% effective context window compared to English, highlighting a structural digital divide encoded in subword vocabularies.

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