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Command A

By Cohere

IntermediateModel4.1K learners

Command A is Cohere's flagship large language model, released in 2025, optimized for enterprise use cases including retrieval-augmented generation, tool use, and multilingual business applications, with an emphasis on efficient deployment…

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Definition

Command A is Cohere's flagship large language model, released in 2025, optimized for enterprise use cases including retrieval-augmented generation, tool use, and multilingual business applications, with an emphasis on efficient deployment on minimal compute.

Overview

Command A is the newest flagship model in Cohere's Command series, succeeding earlier models like Command R and Command R+. Cohere has consistently positioned the Command line as an enterprise-first product, differentiating from consumer-facing chat assistants by emphasizing retrieval-augmented generation (RAG) accuracy with citation support, reliable tool/function calling for agentic workflows, and strong multilingual performance across major global business languages. A notable engineering emphasis for Command A is deployment efficiency: Cohere has marketed the model as deliverable on a small number of GPUs (as few as two, according to Cohere's own claims) relative to comparably capable frontier models, targeting enterprises that want to self-host models on-premises or in private cloud environments for data residency, security, or cost reasons, rather than relying exclusively on a shared multi-tenant API. This fits Cohere's broader enterprise go-to-market strategy, which includes offering models via its own API, through cloud marketplaces (AWS, Azure, Oracle Cloud, and others), and for private deployment. Command A is built to integrate tightly with Cohere's broader platform, including its Embed and Rerank models for retrieval pipelines and its North enterprise AI platform for agentic workflows. Cohere competes in the frontier/near-frontier LLM market against OpenAI, Anthropic, Google DeepMind, Meta, and Mistral, but has carved out a differentiated position by focusing specifically on enterprise deployment flexibility, RAG-grounded accuracy, and multilingual business use, rather than competing head-on for consumer chatbot market share.

Key Concepts

  • Cohere's flagship enterprise-focused LLM, successor to Command R/R+
  • Optimized for retrieval-augmented generation with citation support
  • Strong tool/function calling for agentic enterprise workflows
  • Broad multilingual support across major global business languages
  • Designed for efficient deployment on a small number of GPUs for private/on-prem hosting
  • Available via Cohere's API, major cloud marketplaces, and private deployment
  • Integrates with Cohere's Embed and Rerank models for retrieval pipelines

Use Cases

Enterprise RAG systems requiring grounded, citation-backed answers
Multilingual customer support and business process automation
Agentic workflows using tool/function calling for task automation
On-premises or private-cloud LLM deployment for regulated industries
Enterprise search and knowledge management applications

Frequently Asked Questions