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Cohere ↗Released March 11, 2024

Command R

Open Source#23 Arena Rank35B parameters

Command R holds a solid spot in the Arena rankings at #23. Context window: 0.128K tokens.

Context

128K

Input

$0.15

Key Specifications

🏆

Arena Rank

#23

📐

Context Window

128K

📥

Input Price

per 1M tokens

$0.15

📤

Output Price

per 1M tokens

$0.60

🧠

Parameters

35B

🔓

Open Source

Yes

Best For

Cost-effective RAGsummarizationchat

About Command R

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.

Built byCohere↗

Pricing per 1M tokens

Input Tokens

$0.15

Output Tokens

$0.60

Compare Command R

See how Command R stacks up against other leading AI models

Command R vs Command R+Compare →Command R vs Cohere Embed v4Compare →Command R vs Aya 23 35BCompare →Command R vs Aya ExpanseCompare →Command R vs Cohere Embed v3Compare →

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Frequently Asked Questions

What is Command R?▾
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.
How much does Command R cost?▾
Command R costs $0.15 per 1M input tokens and $0.60 per 1M output tokens. You pay only for what you use, which keeps costs predictable.
What is Command R's context window?▾
Command R has a context window of 128K tokens. This determines how much text the model can process in a single request — bigger windows mean longer documents and richer conversation history.
Is Command R open source?▾
Yes, Command R is open source. The model weights are publicly available, so developers can download, fine-tune, and self-host it. Open-source models give teams more control over data privacy and deployment.
What is Command R best for?▾
Command R is best suited for: Cost-effective RAG, summarization, chat. These use cases play to the model's strengths in capability, speed, and cost within Cohere's lineup.