Command RvsAya Expanse

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.

Aya Expanse, developed by Cohere through the Cohere For AI research initiative, is a multilingual open-source model with 32 billion parameters and a 128K token context window supporting 23 languages. Building on Aya 23, it substantially extends context length and improves quality across diverse languages. The model demonstrates strong cross-lingual transfer, enabling tasks like translation, summarization, and question answering across language pairs with limited parallel training data. Its 128K context window makes it suitable for processing long documents in languages where few other models offer extended context. Free and open-source, Aya Expanse aims to democratize access to capable multilingual AI. The model is particularly valuable for researchers and organizations working in lower-resource languages that receive minimal attention from major commercial AI providers.