Introducing North Mini Code: Cohere's first open-source agentic coding model. Built for sovereign developers, this efficient 30B MoE model delivers strong software development performance with minimal hardware requirements.

Cohere’s fastest and most powerful language model yet: an open-source model for running high-performance enterprise agents with maximum efficiency.

Tiny Aya is Cohere Labs"s 3.35B open-weight multilingual model family built for local use. It covers 70+ languages, goes deeper on underserved regions instead of shallow global coverage, and is small enough for phones, classrooms, and community labs.

Cohere Transcribe is a state-of-the-art, 2B open-weights speech recognition model. Optimized for enterprise workloads, it delivers high throughput and a leading 5.42% WER across 14 languages, making it ideal for private, local, or desktop deployment.

Command A Reasoning by Cohere is an advanced model for enterprise reasoning tasks. Designed for private deployment, it outperforms models like gpt-oss-120b while running on a single H100. A user-controlled token budget lets you balance performance and cost.

Aya Vision, from Cohere For AI, is the open-weights, multilingual, multimodal models (8B & 32B). Outperforms larger models on multilingual vision tasks. Available on Hugging Face and Kaggle.

Command A is Cohere's most performant model to date, excelling at real world enterprise tasks including tool use, retrieval augmented generation (RAG), agents, and multilingual use cases. At 111B parameters, Command A has a context length of 256K.

We build high performance, secure language models for the enterprise. Our customizable, high-performance language models work on public, private, or hybrid clouds to ensure data security & exceptional support.