AWS Bedrock model

Cohere Command R

Model ID: bedrock/cohere.command-r-v1:0

Cohere Command R is a AWS Bedrock model tracked in HiveCommand. It supports a 128k token context window. Pricing starts at $0.5/1M input tokens and $1.5/1M output tokens. Key capabilities include Temperature 0-1, Tool choice, Structured outputs. Best for general-purpose AI workflows inside HiveCommand.

Input price

$0.5/1M

Cached input

N/A

Output price

$1.5/1M

Context window

128k

Pricing and limits

Pricing below is generated directly from the provider registry in HiveCommand. All amounts are listed per one million tokens.

Input price

$0.5/1M

Cached input

N/A

Output price

$1.5/1M

Updated

Apr 1, 2026

Context window

128k tokens

Max output

Not published

Provider

AWS Bedrock

Best for

Best for general-purpose AI workflows inside HiveCommand.

Capabilities

These capability flags are generated from the provider and model definitions tracked in HiveCommand.

Temperature 0-1
Tool choice
Structured outputs

Temperature

0 to 1

Reasoning effort

Not supported

Verbosity

Not supported

Thinking levels

Not supported

Structured outputs

Supported

Tool choice

Supported

Computer use

Not supported

Deep research

Not supported

Memory support

Supported

Max output tokens

Not published

Browse comparable models from the same provider to compare pricing, context window, and capability coverage.

Cohere Command R Plus

bedrock/cohere.command-r-plus-v1:0

Cohere Command R Plus is a AWS Bedrock model tracked in HiveCommand. It supports a 128k token context window. Pricing starts at $3/1M input tokens and $15/1M output tokens. Key capabilities include Temperature 0-1, Tool choice, Structured outputs.

Input $3/1M
Output $15/1M
128k context
Temperature 0-1
Updated Apr 1, 2026 →

Meta Llama 4 Scout 17B Instruct

bedrock/meta.llama4-scout-17b-instruct-v1:0

Meta Llama 4 Scout 17B Instruct is a AWS Bedrock model tracked in HiveCommand. It supports a 3.5M token context window. Pricing starts at $0.18/1M input tokens and $0.72/1M output tokens. Key capabilities include Temperature 0-1, Tool choice, Structured outputs.

Input $0.18/1M
Output $0.72/1M
3.5M context
Temperature 0-1
Updated Apr 1, 2026 →

Amazon Nova 2 Pro

bedrock/amazon.nova-2-pro-v1:0

Amazon Nova 2 Pro is a AWS Bedrock model tracked in HiveCommand. It supports a 1M token context window. Pricing starts at $1/1M input tokens and $4/1M output tokens. Key capabilities include Temperature 0-1, Tool choice, Structured outputs.

Input $1/1M
Output $4/1M
1M context
Temperature 0-1
Updated Apr 1, 2026 →

Amazon Nova 2 Lite

bedrock/amazon.nova-2-lite-v1:0

Amazon Nova 2 Lite is a AWS Bedrock model tracked in HiveCommand. It supports a 1M token context window. Pricing starts at $0.08/1M input tokens and $0.32/1M output tokens. Key capabilities include Temperature 0-1, Tool choice, Structured outputs.

Input $0.08/1M
Output $0.32/1M
1M context
Temperature 0-1
Updated Apr 1, 2026 →

Amazon Nova Premier

bedrock/amazon.nova-premier-v1:0

Amazon Nova Premier is a AWS Bedrock model tracked in HiveCommand. It supports a 1M token context window. Pricing starts at $2.5/1M input tokens and $10/1M output tokens. Key capabilities include Temperature 0-1, Tool choice, Structured outputs.

Input $2.5/1M
Output $10/1M
1M context
Temperature 0-1
Updated Apr 1, 2026 →

Meta Llama 4 Maverick 17B Instruct

bedrock/meta.llama4-maverick-17b-instruct-v1:0

Meta Llama 4 Maverick 17B Instruct is a AWS Bedrock model tracked in HiveCommand. It supports a 1M token context window. Pricing starts at $0.24/1M input tokens and $0.97/1M output tokens. Key capabilities include Temperature 0-1, Tool choice, Structured outputs.

Input $0.24/1M
Output $0.97/1M
1M context
Temperature 0-1
Updated Apr 1, 2026 →

Frequently asked questions

Cohere Command R is a AWS Bedrock model available in HiveCommand. Cohere Command R is a AWS Bedrock model tracked in HiveCommand. It supports a 128k token context window. Pricing starts at $0.5/1M input tokens and $1.5/1M output tokens. Key capabilities include Temperature 0-1, Tool choice, Structured outputs.