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gemini-embedding-2 Cost Calculator - Google Gemini

Calculate the cost of using gemini-embedding-2 from Google Gemini for your AI applications

Pricing data last updated:

gemini-embedding-2 Cost Calculator

Mode: Embedding

Max: 8,192 tokens

Cost Breakdown

Input Cost$0.00020000
Total Cost$0.00020000

Pricing Details

Input: $0.0000002000 per token
Input Image: $0.00012000 per image
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Model Specifications

Limits

Max Input Tokens8,192
Max Tokens8,192

About gemini-embedding-2

gemini-embedding-2 is an embedding model from Google Gemini, one of 4 embedding models they offer. It is priced at $0.20 per 1M input tokens and $0.0000 per 1M output tokens, ranking 87 out of 96 embedding models by cost and cheaper than 9% of models in this category. Its 8K-token context window is in the top 49% among embedding models.

Pricing Information

Input Cost$0.20 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 Tokens8,192
Maximum Total Tokens8,192

Pro Tip

Use the maximum token limits shown above to understand the model's capacity. This model can handle up to 8,192 input tokens.

How gemini-embedding-2 Pricing Compares

At $0.20 per 1M input tokens and $0.0000 per 1M output tokens, gemini-embedding-2 ranks 87 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 9% of models in this category.

gemini-embedding-2 is one of 4 Google Gemini embedding models, its 8K-token context window places it in the top 49% of embedding models.

ModelProviderInput / 1M tokensOutput / 1M tokensvs gemini-embedding-2
amazon.titan-embed-text-v2:0AWS Bedrock$0.20$0.00000%
gemini-embedding-2-previewVertex AI$0.20$0.00000%
gemini-embedding-2Vertex AI$0.20$0.00000%

Alternatives to gemini-embedding-2

Similar embedding models from other providers

AWS Bedrock
amazon.titan-embed-text-v2:0
$0.20/1M input
0% vs gemini-embedding-2
Vertex AI
gemini-embedding-2-preview
$0.20/1M input
0% vs gemini-embedding-2
Vertex AI
gemini-embedding-2
$0.20/1M input
0% vs gemini-embedding-2
Voyage
voyage-3-large
$0.18/1M input
-10% vs gemini-embedding-2
Voyage
voyage-code-3
$0.18/1M input
-10% vs gemini-embedding-2

Frequently Asked Questions

Is gemini-embedding-2 cheaper than amazon.titan-embed-text-v2:0?

No. gemini-embedding-2 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 0% more affordable for input. However, gemini-embedding-2 may offer different capabilities or performance characteristics that justify the price difference.

How does gemini-embedding-2 pricing compare to the average embedding model?

gemini-embedding-2 input pricing is $0.20 per 1M tokens, which is 100% above the median of $0.10 for embedding models. It ranks 87 out of 96 embedding models by input cost, making it cheaper than 9% of models in this category. For output, it costs $0.0000 per 1M tokens compared to the median of $0.02.

What makes gemini-embedding-2 different from other Google Gemini models?

Among Google Gemini's 4 embedding models, gemini-embedding-2 ranks 4 by input cost.

What are the best alternatives to gemini-embedding-2?

The most comparable embedding models to gemini-embedding-2 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); voyage-3-large from Voyage ($0.18/1M 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 gemini-embedding-2 costs?

gemini-embedding-2 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 $0.20 and generating 1M output tokens costs $0.0000.