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multimodalembedding@001 Cost Calculator - Vertex AI

Calculate the cost of using multimodalembedding@001 from Vertex AI for your AI applications

Pricing data last updated:

multimodalembedding@001 Cost Calculator

Mode: Embedding

Max: 2,048 tokens

Cost Breakdown

Input Cost$0.00080000
Total Cost$0.00080000

Pricing Details

Input: $0.0000008000 per token
Input Image: $0.00010000 per image
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Model Specifications

Limits

Max Input Tokens2,048
Max Tokens2,048

About multimodalembedding@001

multimodalembedding@001 is an embedding model from Vertex AI, one of 9 embedding models they offer. It is priced at $0.80 per 1M input tokens and $0.0000 per 1M output tokens, ranking 92 out of 96 embedding models by cost and cheaper than 4% of models in this category. It accepts up to 2K input tokens.

Pricing Information

Input Cost$0.80 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 Tokens2,048
Maximum Total Tokens2,048

Pro Tip

Use the maximum token limits shown above to understand the model's capacity. This model can handle up to 2,048 input tokens.

How multimodalembedding@001 Pricing Compares

At $0.80 per 1M input tokens and $0.0000 per 1M output tokens, multimodalembedding@001 ranks 92 out of 96 embedding models by input cost. It is more expensive compared to the median of $0.10 for embedding models, and is cheaper than 4% of models in this category.

ModelProviderInput / 1M tokensOutput / 1M tokensvs multimodalembedding@001
amazon.titan-embed-image-v1AWS Bedrock$0.80$0.00000%
amazon.nova-2-multimodal-embeddings-v1:0AWS Bedrock$0.14$0.0000-83%
amazon.titan-embed-text-v1AWS Bedrock$0.10$0.0000-87%

Alternatives to multimodalembedding@001

Similar embedding models from other providers

AWS Bedrock
amazon.titan-embed-image-v1
$0.80/1M input
0% vs multimodalembedding@001
AWS Bedrock
amazon.nova-2-multimodal-embeddings-v1:0
$0.14/1M input
-83% vs multimodalembedding@001
AWS Bedrock
amazon.titan-embed-text-v1
$0.10/1M input
-87% vs multimodalembedding@001
AWS Bedrock
amazon.titan-embed-text-v2:0
$0.20/1M input
-75% vs multimodalembedding@001
AWS Bedrock
twelvelabs.marengo-embed-2-7-v1:0
$70.00/1M input
+8650% vs multimodalembedding@001

Frequently Asked Questions

Is multimodalembedding@001 cheaper than amazon.titan-embed-image-v1?

No. multimodalembedding@001 costs $0.80 per 1M input tokens while amazon.titan-embed-image-v1 costs $0.80 per 1M input tokens, making amazon.titan-embed-image-v1 0% more affordable for input. However, multimodalembedding@001 may offer different capabilities or performance characteristics that justify the price difference.

How does multimodalembedding@001 pricing compare to the average embedding model?

multimodalembedding@001 input pricing is $0.80 per 1M tokens, which is 700% above the median of $0.10 for embedding models. It ranks 92 out of 96 embedding models by input cost, making it cheaper than 4% of models in this category. For output, it costs $0.0000 per 1M tokens compared to the median of $0.02.

What makes multimodalembedding@001 different from other Vertex AI models?

Among Vertex AI's 9 embedding models, multimodalembedding@001 ranks 9 by input cost.

What are the best alternatives to multimodalembedding@001?

The most comparable embedding models to multimodalembedding@001 are: amazon.titan-embed-image-v1 from AWS Bedrock ($0.80/1M input tokens); amazon.nova-2-multimodal-embeddings-v1:0 from AWS Bedrock ($0.14/1M input tokens); amazon.titan-embed-text-v1 from AWS Bedrock ($0.10/1M input tokens); amazon.titan-embed-text-v2:0 from AWS Bedrock ($0.20/1M input tokens). These alternatives were selected based on similar capabilities, pricing, and provider diversity. You can compare any of these models in detail using the Bifrost Model Library.

How do I calculate multimodalembedding@001 costs?

multimodalembedding@001 is priced based on input and output tokens, images. Use the interactive calculator at the top of this page to estimate costs for your specific workload. Enter your expected input and output tokens volume and the calculator will show the total cost breakdown. For reference, processing 1M input tokens costs $0.80 and generating 1M output tokens costs $0.0000.