Cohere has released North Small Translate, an open-source translation model built with a sparse mixture-of-experts architecture. The company said the model has 218 billion total parameters and 25 billion active parameters, and supports 50 languages ranging from Albanian to Vietnamese. In Cohere’s WMT26 evaluation, the model posted an average score of 83.6. Cohere said its performance topped DeepL, Google Translate, and open alternatives including GLM 5.2 and Mistral Large 3. The company also outlined several access options: free use through the Cohere API with rate limits, non-commercial self-hosting, and commercial licensing. According to a cost chart published by Cohere, the model costs $0.000676 per task based on an average of 661 tokens, while Gemini 3.1 Pro Preview costs about 58 times more. The update was cited by MarkTechPost.
Cohere has released North Small Translate, an open-source translation model that supports 50 languages, from Albanian to Vietnamese.
The company said the model uses a sparse mixture-of-experts architecture, with 218 billion total parameters and 25 billion active parameters. In Cohere’s WMT26 evaluation, it recorded an average score of 83.6.
Cohere said North Small Translate outperformed DeepL, Google Translate, and open options including GLM 5.2 and Mistral Large 3.
The model is available for free through the Cohere API, subject to rate limits. It can also be self-hosted for non-commercial use or used under a commercial license.
According to a cost chart published by Cohere, the model costs $0.000676 per task based on an average of 661 tokens. Cohere said Gemini 3.1 Pro Preview costs about 58 times more.
The report was attributed to MarkTechPost.
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