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AI models may need significantly more tokens to process some non-English languages, increasing costs and latency, Rest of World reports, citing a study by the Coalition for Language Equity in AI Research.
Why it mattersThe researchers say the gap is influenced by how much a language appears online and the complexity of its writing system. For people using languages with fewer digital resources, that could mean paying more for the same AI task. The token meter, it seems, may not be equally kind to every script.
Discuss: Should AI providers be expected to publish language-by-language cost comparisons, or is that too much to ask of a system whose prices already shift by model and task?
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