AI for Empowerment. We build private systems for enterprise, and open-source models for builders, to help people lead better lives.
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New Apache 2.0 model from @Aleph__Alpha. It's really good.
If you like that, you're going to love what we build together.
Small bird, fast wings, Kolibri is here.
78B parameters. 3.46B active. Up to 1M tokens of context. Built in Europe.
Now the weights are yours. Run it on your own hardware, under Apache 2.0.
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We recently introduced North Small Translate, a new state-of-the-art open machine translation model.
We want to be open with our weights and processes. Watch Tom Kocmi, Cohere's head of localization, explain the model, which is the best in the world under 1T parameters: (1/6)
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Hear more from Kocmi and the rest of our team in the video or at the WMT 2026 conference this October!
Full technical report: (6/6): cohere.com/north-small-trans…
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Open doors for open weights 🚀
@vLLM and Cohere are co-hosting a meetup in Toronto to discuss how we're contributing and pushing the future of open source.
Plus, hear from a lead maintainer of vLLM on where vLLM is heading next and from @NVIDIAAI engineers on agentic debugging. Connect with our teams and learn something along the way 🧠
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Want to hear more? Stay tuned for our webinar on Thursday, October 8 on X Live. Our search modelling leadership will be discussing RCP-nDCG@10, Embed 5, and the future of search and retrieval. cohere.com/register/rcp-ndcg…
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Nobody knows more about chess than @MagnusCarlsen. But even the greats need a break.
Magnus takes time away from the board to enjoy life with the people he loves. Less busy work means more quality time. That's where Cohere comes in.
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Aidan Gomez
Cohere retweeted
thank god for embed5. somehow Cohere is really good at not looking at your data while being the best at indexing it
The Cohere Embeddings team has been cooking 🍳
Several key innovations in the model:
- The model not only retrieves relevant results, but finds the most human preferred documents based on new training & evaluation techniques.
- Strong focus on multilinguality 🇺🇳 - just retrieving English docs is boring
- Massive throughput gains - scale to any data size
Together with a strong focus on privacy - your data stays private, always.
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When you need a high-throughput, high-speed option, try Embed 5 Fast. It outperforms other fast-tier models by six or more points while costing a third less than Pro.
Crucially, Embed 5 is also the first model family evaluated with RCP-nDCG@10, our latest retrieval methodology. Find out more: cohere.com/blog/rcp-ndcg
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Embed 5 is available through the Cohere API, Model Vault, Microsoft Foundry, and Amazon SageMaker, or directly in North. Both share an embedding space, so you can index with one and retrieve with the other while maintaining performance.
Try Pro and Fast out today: cohere.com/embed
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