Cohere
Cohere
Efficient

Command R

Balanced

Mid-tier Command R, 35B dense model tuned for citation-grounded RAG and tool use, at a fraction of Command R+'s cost.

Command R is a efficient AI model from Cohere. It costs $0.150 per million input tokens and $0.600 per million output tokens (blended $0.285/M), with a 128,000-token context window.

INPUT
$0.150/M
per million input tokens
OUTPUT
$0.600/M
per million output tokens
BLENDED 70/30
$0.285/M
unchanged since 3 May
CONTEXT
128,000
tokens
What it is good at
  • RAG-tuned with citations
  • 128K context
  • Tool use
  • Cheap
Typical use cases
  • High-volume RAG
  • Citation-grounded answers
  • Cost-sensitive enterprise chat

Benchmarks

vs. best public score
MMLU68%
Multitask academic knowledge across 57 subjects.
Python function synthesis from docstrings.
LMArena Elo1148 Elo
Crowd-sourced head-to-head preference Elo rating.
Hand-curated from each provider's published reports and public leaderboards. Methodology varies across sources, treat as directional rather than authoritative.

More from Cohere

See all 12 →

Frequently asked questions

How much does Command R cost?

Command R costs $0.150 per million input tokens and $0.600 per million output tokens, for a blended reference rate of $0.285 per million tokens.

What is Command R's context window?

Command R supports up to 128,000 tokens of context in a single request.

What is Command R best for?

Command R is well suited to RAG-tuned with citations, 128K context and Tool use.

Who makes Command R?

Command R is developed and served by Cohere. It was released in Mar 2024.

Terms used on this page