Command R+ is a highly performant generative large language model, optimized for a variety of use cases including reasoning, summarization, and question answering. Command R+ has the capability for multilingual generation evaluated in 10 languages and highly performant RAG capabilities.
Highlights
Command R+ is built for enterprises that plan to leverage their internal data and documents for a tailored and accurate language model. It utilizes retrieval-augmented generation (RAG) to provide accurate and verified information, ensuring credible interactions. Command R+ model outputs come with clear citations. It is proficient in the most commonly used business languages (10 languages), ensuring seamless understanding and response in various tongues.
128k Context Window: Processes a wide context window of up to 128k tokens, optimizing for RAG use cases and performance.
Tool Use: Build user-defined tools that enable Command R+ to automate highly sophisticated tasks using internal infrastructure as well as external tools like CRMs and search engines.
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You pay based on usage, measured in tokens. A token is a unit of text that language models process; simple words use about one token, while complex words use more. Pricing splits into two categories: what you send to the model (input tokens) and what the model returns (output tokens). Both are billed per 1 million tokens. There is no upfront commitment or fixed instance charge. Your cost rises with the volume of text processed, so total spend scales directly with how much you send and receive.
Top-of-mind questions for buyers
What exactly is a token, and how is one counted for billing?
A token is a unit of text the model processes, not a character or word. Simple text runs close to one token per word. Complex or uncommon words can use three to four tokens each. Your bill counts total input and output tokens processed, in millions.
How do the input and output token charges combine on my bill?
Both charges apply independently and appear on the same invoice. You pay per 1 million input tokens for text you send, plus per 1 million output tokens for text the model returns. Output tokens carry a higher rate, so response-heavy workloads tend to drive most of the cost.
Am I charged when the model sits idle and processes no requests?
No. Billing is usage-based with no upfront commitment or fixed instance charge. Cost accrues only when tokens are processed. If you send no requests, no token charges apply. Your spend scales directly with the volume of text you send and receive.
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