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
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)! https://t.co/ZVX3lK8N68
👏 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 ⤵️
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%)
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+: https://t.co/USXpmpid01
Or learn more: https://t.co/mXb3WLHN85
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 ☺️
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 - https://t.co/BhV5ffuarA
Our work here - https://t.co/o86oK5iD2E
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: https://t.co/MEaR0ybg8d
Enterprise-grade agentic capabilities for all ❤️🔥❤️🔥
Give it a go!
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.
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 https://t.co/pUsCSiXwIt sayfamızı ziyaret edebilirsiniz.
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: https://t.co/A1fO54Rjbw
Konuşmaları değerlendiren tüm komite birbirinden bağımsız aynı şeyi söylüyor. Bu yıl @divaconference için gelen konuşma başvuruları çok çok kaliteli ve konuşmaları seçmek çok çok zor olacak. Gönderen herkesin eline sağlık ve ben şahsen konferansı kaçırdığım için üzgünüm. Gidebilecek herkese tavsiyem bu yılki konferansı kaçırmayın!