Command R+vsCommand R

Command R+, developed by Cohere, is an enterprise-grade model with 104 billion parameters and a 128K token context window, purpose-built for retrieval-augmented generation and tool-use workflows. The model excels at grounded generation with faithful document citation, multi-step tool use, and enterprise search applications. Its advanced RAG capabilities produce responses that accurately synthesize information from provided sources with proper attribution. Command R+ supports multilingual enterprise workflows and structured data extraction. Priced at $2.50 per million input tokens and $10.00 per million output tokens. As an open-source model, it can be deployed on enterprise infrastructure for data-sensitive applications. Command R+ ranks #17 on the Chatbot Arena leaderboard, reflecting strong enterprise-focused capability. It is the preferred choice for organizations building AI-powered knowledge management and document analysis systems.

Command R, developed by Cohere, is an enterprise-grade model with 35 billion parameters and a 128K token context window optimized for retrieval-augmented generation. The model specializes in grounded generation, producing responses with accurate citations from provided source documents. It handles document search, summarization, information extraction, and conversational Q&A with built-in citation capabilities. Command R supports 10 languages and features production-ready RAG tooling that reduces hallucination on retrieval tasks. Priced at $0.15 per million input tokens and $0.60 per million output tokens, it offers cost-effective enterprise search capabilities. As an open-source model, it can also be self-hosted. Command R ranks #23 on the Chatbot Arena leaderboard, reflecting its specialized design for retrieval tasks rather than general-purpose benchmarks where broad models score higher.