amazon.nova-2-multimodal-embeddings-v1:0 Cost Calculator - AWS Bedrock

Calculate the cost of using amazon.nova-2-multimodal-embeddings-v1:0 from AWS Bedrock for your AI applications

amazon.nova-2-multimodal-embeddings-v1:0 Cost Calculator

Mode: Embedding

Input Tokens

Max: 8,172 tokens

Cost Breakdown

Input Cost$0.00013500

Total Cost$0.00013500

Pricing Details

Input: $0.0000001350 per token

Input Image: $0.00006000 per image

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Model Specifications

Capabilities

✓Audio Input

Limits

Max Input Tokens8,172

Max Tokens8,172

About amazon.nova-2-multimodal-embeddings-v1:0

amazon.nova-2-multimodal-embeddings-v1:0 is a powerful embedding AI model offered by AWS Bedrock. This comprehensive guide provides detailed pricing information, technical specifications, and capabilities to help you understand the costs and features of using amazon.nova-2-multimodal-embeddings-v1:0 in your embedding applications.

Pricing Information

Input Cost$0.14 per 1M tokens

Image Input Cost$0.0001 per image

Note: Use the interactive calculator above to estimate costs for your specific usage patterns.

Technical Specifications

Maximum Input Tokens8,172

Maximum Total Tokens8,172

Pro Tip

Use the maximum token limits shown above to understand the model's capacity. This model can handle up to 8,172 input tokens.

Model Capabilities

✓Audio Input - Accept audio data as input

When should you use amazon.nova-2-multimodal-embeddings-v1:0?

amazon.nova-2-multimodal-embeddings-v1:0 is best suited for the following scenarios:

Semantic search and similarity matching
RAG pipelines and vector databases
Document clustering and recommendations
Multimodal applications requiring image or audio processing
Content analysis across multiple media types

When should you avoid amazon.nova-2-multimodal-embeddings-v1:0?

Complex multi-step reasoning or planning tasks
Very large documents or long conversational histories
General-purpose text generation or conversational AI
Creative writing or content generation tasks

How does amazon.nova-2-multimodal-embeddings-v1:0 compare to similar models?

This model offers competitive input token pricing, making it cost-effective for applications that require extensive context or frequent input processing.

Understanding amazon.nova-2-multimodal-embeddings-v1:0 pricing

amazon.nova-2-multimodal-embeddings-v1:0 is a embedding and vector search model provided by AWS Bedrock.
Input tokens are priced at $0.14 per 1M tokens.
Image input is priced at $0.0001 per image.
The model supports a maximum input capacity of 8,172 tokens.
Supports audio input for processing audio data.
AWS Bedrock offers amazon.nova-2-multimodal-embeddings-v1:0 for embedding and vector search workloads — semantic search, similarity matching, recommendation systems, and vector-based applications.

How to Use This Calculator

Step 1: Enter the number of input tokens you expect to use. Input tokens include your prompt, system messages, and any context you provide to the model.

Step 2: Specify the number of output tokens you anticipate. Output tokens are the text generated by the model in response to your input.

Step 3: Review the cost breakdown to see the total estimated cost for your usage. The calculator automatically updates as you adjust the token counts.

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