Parse is Cohere's document vision parsing model. It transforms unstructured data in enterprise images and documents into structured data that downstream AI agents and applications can use.
Handles OCR, tables/diagrams/images, and visual grounding via bounding boxes, across 9 languages. Deploy via API, cloud, or fully on-prem/air-gapped.
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.
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 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.
