Using Amazon Nova Multimodal Embeddings on AWS Bedrock
Implementation guide · Nova · Amazon Web Services (AWS) AI
Serverless
AWS Bedrock exposes Amazon Nova Multimodal Embeddings through model ID nova-multimodal-embeddings. 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
nova-multimodal-embeddings— see the documentation for request format.
Code Examples
Install
pip install boto3API key
AWS_ACCESS_KEY_IDModel ID
nova-multimodal-embeddingsUse 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="nova-multimodal-embeddings",
messages=[{
"role": "user",
"content": [{"text": "Hello"}]
}]
)
print(response["output"]["message"]["content"][0]["text"])Pricing on AWS Bedrock
Capabilities
Multimodal
About Amazon Nova Multimodal Embeddings
Amazon Nova Multimodal Embeddings is Amazon's Nova model with multimodal text and image input. It was released 2025-12-01.
Model Specs
Released2025-12-01