Command Series by Cohere
The Command Series is Cohere's family of proprietary large language models designed specifically for enterprise-grade AI applications. These models excel in multilingual retrieval-augmented generation (RAG), adaptive tool use, coding tasks, and complex reasoning. Integrated into cloud platforms like Azure AI Foundry and Amazon Bedrock, the series provides scalable performance tailored for business-critical workflows.
Current Models in the Command Series:
Command R: Optimized for retrieval-augmented generation (RAG), multilingual support, and adaptive tool use with a 128k-token context window.
Command R+: Enhanced version of Command R with improved multilingual capabilities, advanced RAG performance, adaptive tool integration, and instruction-following.
Command R7B: Smaller, faster variant optimized for efficient inference while maintaining strong multilingual and RAG capabilities.
Command A: Cohere's latest and most performant model to date. Excels at real-world enterprise tasks including tool use, agents, multilingual applications, coding tasks, and advanced retrieval-augmented generation. Requires minimal hardware resources (only two GPUs) while matching or outperforming larger competitors in business-critical tasks.
Key Attributes:
Multilingual support across multiple languages with advanced multilingual RAG capabilities.
Extensive context windows (up to 256k tokens with Command A; 128k tokens for earlier models).
Adaptive tool use and agentic capabilities for autonomous workflows.
High efficiency: Command A runs on minimal hardware (two GPUs) while outperforming larger competitors.
Enterprise-ready integration through Cohere's API and leading cloud providers.
Example Use Cases:
Developing multilingual customer support chatbots with accurate retrieval-based answers.
Automating complex document analysis and summarization workflows for enterprises.
Building intelligent AI agents capable of executing multi-step business processes autonomously.
Enhancing coding productivity through advanced code generation and debugging assistance.


