Last refreshed 2026-05-11. Next refresh: weekly.
Why use Command R on AWS Bedrock?
AWS Bedrock offers Command R with pay-as-you-go pricing at $0.50/1M input tokens. AWS Bedrock is Amazon's fully managed foundation-model service, providing unified API access to top models from Anthropic, Meta, Mistral, and other leading AI labs with built-in tools for RAG, fine-tuning, and AI agent development.
Compare Command R across 6 providers to find the best fit for your use caseSetup recipe
Python + curlpip install boto3export AWS_ACCESS_KEY_ID=...import boto3
client = boto3.client("bedrock-runtime", region_name="us-east-1")
response = client.converse(
modelId="command-r",command-rRequest example
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",
messages=[{
"role": "user",
"content": [{"text": "Hello"}]
}]
)
print(response["output"]["message"]["content"][0]["text"])Gotchas
- Use 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.
- The endpoint template includes a region segment; set the same region in your SDK/client configuration.
- The examples expect AWS_ACCESS_KEY_ID; rename it only if your application config maps the new variable.
Compare Command R Across Providers
| Provider | Input (per 1M) | Output (per 1M) |
|---|---|---|
| AWS Bedrock | $0.50 | $1.50 |
| Cohere API | $0.50 | $1.50 |
| Microsoft Foundry | $0.50 | $1.50 |
| OCI Generative AI | — | — |
| OpenRouter | $0.15 | $0.60 |
Pricing
| Type | Price (per 1M) |
|---|---|
| Input tokens | $0.50 |
| Output tokens | $1.50 |
Capabilities
About Command R
Command R is a 35-billion parameter large language model developed by Cohere, tailored for enterprise-scale AI applications. It is optimized for long-context tasks such as retrieval-augmented generation (RAG) and tool use, emphasizing high performance coupled with strong accuracy. This model excels in reasoning, summarization, and question answering across ten key languages. Its use spans various enterprise applications, automating complex tasks that involve interacting with systems like CRMs, APIs, and databases. The model can process up to 128,000 tokens and integrates seamlessly with Cohere's Embed and Rerank models, enhancing accuracy and efficiency in large-scale tasks. Additionally, a more powerful iteration, Command R+ with 104 billion parameters, offers even greater capabilities.
FAQ
What does Command R cost on AWS Bedrock?
On AWS Bedrock, Command R costs $0.50 per 1M input tokens and $1.50 per 1M output tokens.
What is the context window for Command R on AWS Bedrock?
Command R supports a 128,000 token context window on AWS Bedrock.
How does AWS Bedrock compare to other Command R providers?
Command R is available from 6 providers. The cheapest input pricing is $0.15/1M tokens from OpenRouter.
Who created Command R?
Command R was created by Cohere as part of the Command R model family.
Is Command R open source?
Command R's open source status is unknown in the seed data.