Joined December 2020
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released a Turkish rap song today. Give it a listen, let me know what you think! 🤠 open.spotify.com/track/44Ah7…
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Jun 9
Sovereign AI for all.
North Mini Code is now free on OpenCode 256K Context · fully open source Cohere's first coding model
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Jun 9
Introducing Cohere's first open-source coding model: North Mini Code Small & efficient, designed for agentic performance and built for community input.

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May 29
Command A sets a new high for Cohere's machine translation capabilities. Opening a clear gap over open source peers Mistral Medium 3.5, DeepSeek, & OpenAI's gpt-oss, as well as Claude Opus 4.6. A also outperforms specialist systems like Google Translate. RWS is better... but we built that with them too
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Replying to @leftylabourtech
Man it’s my company?
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lets goooooo 🏃🏻‍♀️💨❤️‍🔥
May 27
"If you don't know who Cohere is, you will" - Prime Minister @MarkJCarney 🇨🇦
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My @cohere internship project w/ @kroscoo and @acyr_l is on arXiv! We show that efficient benchmarking (predicting scores from a subset of questions) can be greatly improved using standard feature-selection & regression techniques (mRMR and kernel ridge)! arxiv.org/abs/2605.25773
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👏 Congratulations to @cohere on Command A — a powerful new model optimized for NVIDIA Blackwell and trained using NVIDIA CUDA-X libraries. Proud to be a part of it! Learn more ⤵️
May 20
Introducing: Cohere Command A We’ve created our most powerful LLM yet, optimized it to run on as little hardware as possible, and released it open-source for all.
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so proud of this model 🥺✨
Cohere launches open weights model Command A that achieves 37 on the Artificial Analysis Intelligence Index The release of Command A places @Cohere in line with Claude 4.5 Haiku on the Intelligence Index, and just above NVIDIA Nemotron 3 Super and Gemini 3.1 Flash-Lite. Key Takeaways: ➤ Command A ranks first on AA-Omniscience Non-Hallucination at 86%, ~3 percentage points ahead of the next-best model. Its AA-Omniscience Accuracy is 9%, so the headline AA-Omniscience score lands at -4, demonstrating a similar archetype to Claude 4.5 Haiku, where the model knows its limits ➤ On Cohere’s API, Command A (~281 output tokens per second) is faster than several comparable open-weights and small to mid-sized proprietary models (e.g., GPT-5.4 nano, Claude 4.5 Haiku, and Grok 4.3), but still slower than Gemini 3.1 Flash-Lite Preview, which outputs 304 tokens per second ➤ Command A trails its peer set on scientific reasoning (HLE ~11%, GPQA Diamond ~76%) and on coding (Terminal-Bench Hard ~25%, SciCode ~38%), consistent with gaps on the hardest science and agentic coding benchmarks ➤ It supports visual reasoning and scores 63% on MMMU-Pro (between Claude 4.5 Haiku at 59% and GPT-5.4 nano (xhigh) at 65%)
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fastest model on artificial analysis
May 20
Introducing: Cohere Command A We’ve created our most powerful LLM yet, optimized it to run on as little hardware as possible, and released it open-source for all.
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Cohere dropped Command A 🔥 > 25B/219B MoE vision language model > supports 48 languages with efficient tokenizer > tool-calling/agentic 128k context window > transformers day-0 support 🤗 free license 💗
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May 20
Releasing open-source under the Apache 2.0 license. We want to give developers direct access to enterprise-grade agentic capabilities from experimentation to production. Sovereign AI. For all. Download Command A : huggingface.co/CohereLabs/co… Or learn more: cohere.com/blog/command-a-pl…
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Command A from @cohere is out now :) its our best model yet and its open source apache 2.0
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Our first model @cohere that is all inclusive - vision enabled, reasoning on, MoE, and super efficient. Apache 2.0 is the cherry on top! Super proud of being a part of the effort to bake this model! It has better vision perf than Command-A-Vision! It’s a delicious release, enjoy ☺️
May 20
Introducing: Cohere Command A We’ve created our most powerful LLM yet, optimized it to run on as little hardware as possible, and released it open-source for all.
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Extremely excited to present Command A , our first sparse model! I am very proud of the work we did to enable this model. We built our sparse training stack from the ground up over the past year with a lot of custom kernels, performance engineering to enable us to train large sparse models with a very small compute footprint. We presented our work on a fully dropless FP8 kernel stack for sparse models at Nvidia GTC earlier this year. We are extremely ambitious and are marching towards a state-of-the-art model training stack, come join us if you are interested in pushing the frontier!! Apply here - jobs.ashbyhq.com/cohere/d42f… Our work here - nvidia.com/en-us/on-demand/s…
May 20
Introducing: Cohere Command A We’ve created our most powerful LLM yet, optimized it to run on as little hardware as possible, and released it open-source for all.
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Excited to share what we have been working on at Cohere; Command A ! - Our most powerful, fastest model yet. - Multilingually yours in 48 languages. - Fully open-source with weights on HuggingFace: huggingface.co/CohereLabs/co… Enterprise-grade agentic capabilities for all ❤️‍🔥❤️‍🔥 Give it a go!
May 20
Introducing: Cohere Command A We’ve created our most powerful LLM yet, optimized it to run on as little hardware as possible, and released it open-source for all.
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LFG!!!! 🏃🏻‍♀️💨
May 19
A major step forward for sovereign enterprise AI in healthcare and biopharma. Cohere has acquired @reliant_ai 🇨🇦🇩🇪
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Konuşma ve atölye programımız yayınlandı. 🥁 Program komitemize ve başvuru gönderen herkese çok teşekkür ederiz. Harika bir konferans bizi bekliyor! Biletler tükenmeden siz de bize katılın. Program detayları için divaconf.com/schedule sayfamızı ziyaret edebilirsiniz.
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so proud to be a part of this company 🫶🏻🫰🏻
Apr 16
We're proud to be on the @Forbes AI 50 list again! It reflects our focus on building secure, sovereign AI that helps enterprises and governments put their data to work on their terms. Learn more: forbes.com/lists/ai50/
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