Command R+ is Cohere's flagship model optimized for retrieval-augmented generation. Its native grounding with document citations makes it the top choice for enterprise RAG pipelines where accuracy and source attribution are critical.
Pricing Breakdown
| Volume | Input Cost | Output Cost | Combined (50/50) |
|---|---|---|---|
| 1,000 tokens | $0.0025 | $0.0100 | $0.0063 |
| 10,000 tokens | $0.0250 | $0.1000 | $0.0625 |
| 100,000 tokens | $0.2500 | $1.0000 | $0.6250 |
| 1,000,000 tokens | $2.5000 | $10.0000 | $6.2500 |
Strengths
- ✓Best-in-class retrieval-augmented generation (RAG)
- ✓Native document grounding with citations
- ✓Strong for enterprise knowledge bases
- ✓Multi-hop retrieval capability
Weaknesses
- ✗Less capable at open-ended creative tasks
- ✗Smaller community vs. OpenAI
Compare Command R+ With
Frequently Asked Questions
How much does Command R+ cost?
Command R+ costs $2.50/1M per 1M input tokens and $10.00/1M per 1M output tokens.
What is Command R+'s context window?
Command R+ has a context window of 128K tokens, which means it can process up to 128,000 tokens in a single request.
Is Command R+ open source?
No, Command R+ is a proprietary model by Cohere and is not open source.
What is Command R+ best used for?
Command R+ is best suited for: research, document-analysis, data-extraction, customer-support. Best-in-class retrieval-augmented generation (RAG).
What is Command R+'s ELO score?
Command R+ has an ELO score of 1230 on the LMSYS Chatbot Arena leaderboard, placing it in the mid-tier range.