Calculate the cost of using gemini-embedding-001 from Vercel Ai Gateway for your AI applications
Pricing data last updated:
Mode: Embedding
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gemini-embedding-001 is an embedding model from Vercel Ai Gateway, one of 6 embedding models they offer. It is priced at $0.15 per 1M input tokens and $0.0000 per 1M output tokens, ranking 77 out of 96 embedding models by cost and cheaper than 20% of models in this category. It accepts up to 0K input tokens.
Note: Use the interactive calculator above to estimate costs for your specific usage patterns.
At $0.15 per 1M input tokens and $0.0000 per 1M output tokens, gemini-embedding-001 ranks 77 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 20% of models in this category.
| Model | Provider | Input / 1M tokens | Output / 1M tokens | vs gemini-embedding-001 |
|---|---|---|---|---|
| amazon.nova-2-multimodal-embeddings-v1:0 | AWS Bedrock | $0.14 | $0.0000 | -10% |
| text-embedding-3-large | Azure | $0.13 | $0.0000 | -13% |
| databricks-gte-large-en | Databricks | $0.13 | $0.0000 | -13% |
Similar embedding models from other providers
No. gemini-embedding-001 costs $0.15 per 1M input tokens while amazon.nova-2-multimodal-embeddings-v1:0 costs $0.14 per 1M input tokens, making amazon.nova-2-multimodal-embeddings-v1:0 10% more affordable for input. However, gemini-embedding-001 may offer different capabilities or performance characteristics that justify the price difference.
gemini-embedding-001 input pricing is $0.15 per 1M tokens, which is 50% above the median of $0.10 for embedding models. It ranks 77 out of 96 embedding models by input cost, making it cheaper than 20% of models in this category. For output, it costs $0.0000 per 1M tokens compared to the median of $0.02.
Among Vercel Ai Gateway's 6 embedding models, gemini-embedding-001 ranks 6 by input cost.
The most comparable embedding models to gemini-embedding-001 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); databricks-gte-large-en from Databricks ($0.13/1M input tokens); gemini-embedding-001 from Vertex AI ($0.15/1M 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.
gemini-embedding-001 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 $0.15 and generating 1M output tokens costs $0.0000.
