Calculate the cost of using databricks-gte-large-en from Databricks for your AI applications
Pricing data last updated:
Mode: Embedding
Max: 8,192 tokens
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databricks-gte-large-en is an embedding model from Databricks, one of 2 embedding models they offer. It is priced at $0.13 per 1M input tokens and $0.0000 per 1M output tokens, ranking 68 out of 94 embedding models by cost and cheaper than 28% of models in this category. Its 8K-token context window is in the top 48% among embedding models.
Note: Use the interactive calculator above to estimate costs for your specific usage patterns.
Use the maximum token limits shown above to understand the model's capacity. This model can handle up to 8,192 input tokens.
At $0.13 per 1M input tokens and $0.0000 per 1M output tokens, databricks-gte-large-en ranks 68 out of 94 embedding models by input cost. It is more expensive compared to the median of $0.10 for embedding models, and is cheaper than 28% of models in this category.
databricks-gte-large-en is one of 2 Databricks embedding models, its 8K-token context window places it in the top 48% of embedding models.
| Model | Provider | Input / 1M tokens | Output / 1M tokens | vs databricks-gte-large-en |
|---|---|---|---|---|
| amazon.nova-2-multimodal-embeddings-v1:0 | AWS Bedrock | $0.14 | $0.0000 | +4% |
| text-embedding-3-large | Azure | $0.13 | $0.0000 | 0% |
| embed-v-4-0 | Azure | $0.12 | $0.0000 | -8% |
Similar embedding models from other providers
Yes. databricks-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.
databricks-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 68 out of 94 embedding models by input cost, making it cheaper than 28% of models in this category. For output, it costs $0.0000 per 1M tokens compared to the median of $0.01.
Among Databricks's 2 embedding models, databricks-gte-large-en ranks 2 by input cost.
The most comparable embedding models to databricks-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); cohere.embed-v4:0 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.
databricks-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. For reference, processing 1M input tokens costs $0.13 and generating 1M output tokens costs $0.0000.
