Available Models
| Model | Type | Strengths | Plan Required |
|---|---|---|---|
| Command A | Text | Enterprise flagship — document analysis, long context, grounded responses | Pro+ (Premium) |
| Command R | Text | RAG-optimized with citations, grounded factual responses | Pro+ |
| Command R+ | Text | Enhanced Command R with stronger reasoning and instruction-following | Pro+ (Premium) |
| Command R7b | Text | Lightweight, fast, efficient — standard model | Standard (all plans) |
Strengths
Retrieval Augmented Generation (RAG): Cohere’s Command R models are purpose-built for RAG workflows — they’re optimized to stay grounded in provided documents and cite their sources, rather than generating content from general training knowledge. This makes them excellent for document Q&A use cases. Enterprise document workflows: Command A is designed for enterprise use cases involving large document collections, knowledge bases, and structured data extraction. Grounded factual responses: Cohere models are specifically trained to stay close to provided context and avoid hallucination. They’re a strong choice when factual accuracy is paramount and you’re providing reference material. Embedding and reranking: Cohere is also known for its embedding and reranking models (used in backend RAG pipelines). While ZeroTwo surfaces the chat models, Cohere’s strength in the retrieval layer translates to better grounding in chat responses. Long context: Command A supports long context windows, allowing it to process and reason across large documents without losing track of earlier content.Best Use Cases
Document Q&A
Upload a contract, report, or knowledge base and ask targeted questions. Cohere excels at staying grounded in the document rather than drifting to general knowledge.
Enterprise knowledge retrieval
Querying internal knowledge bases, policies, and structured information repositories.
Factual research
Tasks requiring precise, citation-backed answers with minimal hallucination.
Data-grounded analysis
Analyzing structured data, reports, and multi-document summaries with reliable attribution.
Choosing a Cohere Model
| If you need… | Use… |
|---|---|
| Best overall document analysis | Command A |
| Grounded RAG with citations | Command R or Command R+ |
| Stronger reasoning on top of RAG | Command R+ |
| Fast, efficient standard model | Command R7b |