Cohere releases a translation model that beats DeepL and Google Translate in tests
Prepared by Sintelligent with the help of SI. Publication time restored from the build log. . Updated: .
High-quality machine translation is ceasing to be the monopoly of a couple of services — the language barrier is getting thinner still.
North Small Translate is a MoE model with 218 billion parameters (25 billion active) for 50+ languages. On WMT26 it scored 83.6 versus 81.4 for DeepL NextGen, 79.5 for Gemma 4 31B and 68.2 for Google Translate, and on long-text translation 48.9 versus 21.3 for Google. The weights are open on Hugging Face, but only for research and non-commercial use; a commercial license is available through the RWS Language Weaver platform.
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