AWS Bedrock exposes Command R+ through model ID command-r-plus. Use the setup steps, sourced pricing, capabilities, and official provider links below to validate this route before deployment.
Last refreshed 2026-06-15. Next refresh: weekly.
Quick Start
- 1
- 2Use the AWS Bedrock SDK or REST API to call
command-r-plus— see the documentation for request format. - 3
Code Examples
pip install boto3AWS_ACCESS_KEY_IDcommand-r-plusUse Amazon Bedrock model IDs, e.g. "anthropic.claude-3-opus-20240229-v1:0" for on-demand, or cross-region inference profile IDs like "us.anthropic.claude-opus-4-7-20251101-v1:0". These differ from the public model slug.
import boto3
# Reads AWS_ACCESS_KEY_ID, AWS_SECRET_ACCESS_KEY, AWS_DEFAULT_REGION from env
client = boto3.client("bedrock-runtime", region_name="us-east-1")
response = client.converse(
modelId="command-r-plus",
messages=[{
"role": "user",
"content": [{"text": "Hello"}]
}]
)
print(response["output"]["message"]["content"][0]["text"])Pricing on AWS Bedrock
| Type | Price (per 1M) |
|---|---|
| Input tokens | $3.00 |
| Output tokens | $15.00 |
Capabilities
About Command R+
Command R+ is a powerful large language model from Cohere, tailored for robust enterprise applications. It features an architecturally impressive 104 billion parameters and a 128k-token context window, allowing it to adeptly manage complex tasks and long dialogue sessions. Its cutting-edge capabilities include retrieval-augmented generation (RAG) with inline citations, multilingual functionality supporting ten major languages, and multi-step tool usage to automate complex workflows. The model is suited for diverse business operations such as financial analysis, customer support, and content creation, and can be accessed via Cohere's API or through platforms like Microsoft Azure and Oracle Cloud Infrastructure.