Command R
By Cohere
Command R is a family of large language models from Cohere optimized for enterprise use cases such as retrieval-augmented generation, tool use, and multilingual conversational AI, balancing strong performance with lower serving cost than…
Definition
Command R is a family of large language models from Cohere optimized for enterprise use cases such as retrieval-augmented generation, tool use, and multilingual conversational AI, balancing strong performance with lower serving cost than frontier-scale models.
Overview
Command R (and its larger sibling, Command R+) is Cohere's line of models built specifically around enterprise production workloads rather than chasing the top of general capability leaderboards. Its defining focus is retrieval-augmented generation: Command R was trained to work well with retrieved documents, produce responses with inline citations back to source passages, and reliably distinguish between grounded answers and unsupported claims, which matters for enterprise deployments where hallucination risk carries real business or compliance consequences. The models also support native multi-step tool use, letting them plan a sequence of tool or API calls and reason about intermediate results, and they're trained with strong multilingual coverage across languages including English, French, Spanish, Arabic, and Japanese, reflecting Cohere's enterprise customer base outside the US. Command R+ scales up parameter count and capability relative to the base Command R model, giving customers a smaller/cheaper versus larger/stronger choice depending on the task and cost sensitivity. Cohere positions Command R as available both via its own API and for private, self-hosted deployment inside a customer's own cloud or on-premises environment — an option that appeals to regulated industries such as finance and healthcare that need models running inside their own security perimeter. This deployment flexibility, combined with RAG-oriented training, differentiates Command R from purely API-hosted frontier models like GPT or Claude, positioning Cohere more squarely as an enterprise AI infrastructure vendor.
Key Features
- Optimized specifically for retrieval-augmented generation with inline citations
- Native multi-step tool use with reasoning over intermediate tool results
- Strong multilingual support across major world languages
- Available as Command R (smaller/cheaper) and Command R+ (larger/stronger)
- Supports private, self-hosted deployment inside customer cloud or on-prem environments
- Trained to distinguish grounded, cited answers from unsupported claims
- Enterprise-focused positioning versus general consumer-facing chat products
- Accessible via Cohere's API and major cloud marketplaces
Use Cases
Alternatives
Frequently Asked Questions
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