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A new study by the Coalition for Language Equity in AI Research found that non-English languages consume 1.5 to 5 times more tokens than English, creating a hidden cost penalty. The gap widened to 17 times in one model across 200 languages, causing higher latency and reduced context capacity for speakers of underrepresented languages.
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