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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.