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gte-large-en Cost Calculator - Databricks

Calculate the cost of using gte-large-en from Databricks for your AI applications

Pricing data last updated:

gte-large-en Cost Calculator

Mode: Embedding

Cost Breakdown

Input Cost$0.00012999
Total Cost$0.00012999

Pricing Details

Input: $0.0000001300 per token
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About gte-large-en

gte-large-en is an embedding model from Databricks, one of 7 embedding models they offer. It is priced at $0.13 per 1M input tokens, ranking 130 out of 161 embedding models by cost and cheaper than 19% of models in this category.

Pricing Information

Input Cost$0.13 per 1M tokens

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

How gte-large-en Pricing Compares

At $0.13 per 1M input tokens, gte-large-en ranks 130 out of 161 embedding models by input cost. It is more expensive compared to the median of $0.10 for embedding models, and is cheaper than 19% of models in this category.

ModelProviderInput / 1M tokensOutput / 1M tokensvs gte-large-en
amazon.nova-2-multimodal-embeddings-v1:0AWS Bedrock$0.14$0.0000+4%
text-embedding-3-largeAzure$0.13$0.00000%
embed-v-4-0Azure$0.12$0.0000-8%

Alternatives to gte-large-en

Similar embedding models from other providers

AWS Bedrock
amazon.nova-2-multimodal-embeddings-v1:0
$0.14/1M input
+4% vs gte-large-en
Azure
embed-v-4-0
$0.12/1M input
-8% vs gte-large-en
AWS Bedrock
amazon.titan-embed-text-v1
$0.12/1M input
-8% vs gte-large-en
AWS Bedrock
cohere.embed-v4:0
$0.12/1M input
-8% vs gte-large-en

Frequently Asked Questions

Is gte-large-en cheaper than amazon.nova-2-multimodal-embeddings-v1:0?

Yes. gte-large-en costs $0.13 per 1M input tokens compared to amazon.nova-2-multimodal-embeddings-v1:0's $0.14 per 1M input tokens, making it 4% more affordable. Both are embedding models and share support for audio input.

How does gte-large-en pricing compare to the average embedding model?

gte-large-en input pricing is $0.13 per 1M tokens, which is 30% above the median of $0.10 for embedding models. It ranks 130 out of 161 embedding models by input cost, making it cheaper than 19% of models in this category.

What makes gte-large-en different from other Databricks models?

Among Databricks's 7 embedding models, gte-large-en ranks 7 by input cost.

What are the best alternatives to gte-large-en?

The most comparable embedding models to gte-large-en are: amazon.nova-2-multimodal-embeddings-v1:0 from AWS Bedrock ($0.14/1M input tokens); text-embedding-3-large from Azure ($0.13/1M input tokens); embed-v-4-0 from Azure ($0.12/1M input tokens); amazon.titan-embed-text-v1 from AWS Bedrock ($0.12/1M 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 gte-large-en costs?

gte-large-en 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.