Last refreshed 2026-05-11. Next refresh: weekly.
Why use Command on AWS Bedrock?
AWS Bedrock offers Command with pay-as-you-go pricing at $1.50/1M 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 across 5 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",commandRequest 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",
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 Across Providers
| Provider | Input (per 1M) | Output (per 1M) |
|---|---|---|
| AWS Bedrock | $1.50 | $2.00 |
| OCI Generative AI | — | — |
| Cohere API | $1.00 | $2.00 |
| Scale AI GenAI Platform | — | — |
| OpenRouter | $2.50 | $10.00 |
Pricing
| Type | Price (per 1M) |
|---|---|
| Input tokens | $1.50 |
| Output tokens | $2.00 |
Capabilities
About Command
Command R is a 35-billion parameter enterprise-grade LLM developed by CohereForAI, emphasizing scalability and performance. It features retrieval-augmented generation, optimized for long-context tasks up to 128k tokens, and robust multilingual capabilities across ten major languages. Additionally, it can interface with external tools and APIs. Command R excels in retrieving information from documents and enterprise data, providing well-cited responses to mitigate hallucinations. These capabilities are further amplified in its larger variant, Command R+, with 104 billion parameters. While highly capable, it requires human oversight to address domain-specific performance limitations and ethical concerns, including potential biases.
FAQ
What does Command cost on AWS Bedrock?
On AWS Bedrock, Command costs $1.50 per 1M input tokens and $2.00 per 1M output tokens.
What is the context window for Command on AWS Bedrock?
Command supports a 4,000 token context window on AWS Bedrock.
How does AWS Bedrock compare to other Command providers?
Command is available from 5 providers. The cheapest input pricing is $1.0/1M tokens from Cohere API.
Who created Command?
Command was created by Cohere as part of the Command model family.
Is Command open source?
Command's open source status is unknown in the seed data.