Cohere releases open-weight translation model for 50 languages

Cohere released North Small Translate, an open-weight mixture-of-experts translation model using 25B of its 218B total parameters per token. It scores 83.6 on the WMT26 benchmark across 50 languages, with weights free for non-commercial use.

Why it matters: Dedicated, efficient translation models remain valuable even as general-purpose LLMs improve, since a specialized MoE model can offer competitive quality with a much lower active-parameter cost per query at inference time.