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bge-large-en-v1.5 Cost Calculator - Workers-ai

Calculate the cost of using bge-large-en-v1.5 from Workers-ai for your AI applications

Pricing data last updated:

bge-large-en-v1.5 Cost Calculator

Mode: Embedding

Cost Breakdown

Input Cost$0.00020400
Total Cost$0.00020400

Pricing Details

Input: $0.0000002040 per token
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About bge-large-en-v1.5

bge-large-en-v1.5 is an embedding model from Workers-ai, one of 6 embedding models they offer. It is priced at $0.20 per 1M input tokens, ranking 121 out of 128 embedding models by cost and cheaper than 5% of models in this category.

Pricing Information

Input Cost$0.20 per 1M tokens

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

How bge-large-en-v1.5 Pricing Compares

At $0.20 per 1M input tokens, bge-large-en-v1.5 ranks 121 out of 128 embedding models by input cost. It is more expensive compared to the median of $0.10 for embedding models, and is cheaper than 5% of models in this category.

ModelProviderInput / 1M tokensOutput / 1M tokensvs bge-large-en-v1.5
amazon.titan-embed-text-v2:0AWS Bedrock$0.20$0.0000-2%
gemini-embedding-2-previewVertex AI$0.20$0.0000-2%
gemini-embedding-2Vertex AI$0.20$0.0000-2%

Alternatives to bge-large-en-v1.5

Similar embedding models from other providers

AWS Bedrock
amazon.titan-embed-text-v2:0
$0.20/1M input
-2% vs bge-large-en-v1.5
Vertex AI
gemini-embedding-2-preview
$0.20/1M input
-2% vs bge-large-en-v1.5
Vertex AI
gemini-embedding-2
$0.20/1M input
-2% vs bge-large-en-v1.5
Google Gemini
gemini-embedding-2-preview
$0.20/1M input
-2% vs bge-large-en-v1.5
Google Gemini
gemini-embedding-2
$0.20/1M input
-2% vs bge-large-en-v1.5

Frequently Asked Questions

Is bge-large-en-v1.5 cheaper than amazon.titan-embed-text-v2:0?

No. bge-large-en-v1.5 costs $0.20 per 1M input tokens while amazon.titan-embed-text-v2:0 costs $0.20 per 1M input tokens, making amazon.titan-embed-text-v2:0 2% more affordable for input. However, bge-large-en-v1.5 may offer different capabilities or performance characteristics that justify the price difference.

How does bge-large-en-v1.5 pricing compare to the average embedding model?

bge-large-en-v1.5 input pricing is $0.20 per 1M tokens, which is 104% above the median of $0.10 for embedding models. It ranks 121 out of 128 embedding models by input cost, making it cheaper than 5% of models in this category.

What makes bge-large-en-v1.5 different from other Workers-ai models?

Among Workers-ai's 6 embedding models, bge-large-en-v1.5 ranks 6 by input cost.

What are the best alternatives to bge-large-en-v1.5?

The most comparable embedding models to bge-large-en-v1.5 are: amazon.titan-embed-text-v2:0 from AWS Bedrock ($0.20/1M input tokens); gemini-embedding-2-preview from Vertex AI ($0.20/1M input tokens); gemini-embedding-2 from Vertex AI ($0.20/1M input tokens); gemini-embedding-2-preview from Google Gemini ($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 bge-large-en-v1.5 costs?

bge-large-en-v1.5 is priced based on input and output tokens. 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.