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gemini-embedding-2-preview Cost Calculator - OpenRouter

Calculate the cost of using gemini-embedding-2-preview from OpenRouter for your AI applications

gemini-embedding-2-preview Cost Calculator

Mode: Chat

Max: 8,192 tokens

Cost Breakdown

Input Cost$0.00020000
Total Cost$0.00020000

Pricing Details

Input: $0.0000002000 per token
Output Image: $0.0000004500 per image
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Model Specifications

Capabilities

✓Vision
✓Audio Input

Limits

Max Input Tokens8,192
Max Tokens8,192

About gemini-embedding-2-preview

gemini-embedding-2-preview is a powerful chat AI model offered by OpenRouter. This comprehensive guide provides detailed pricing information, technical specifications, and capabilities to help you understand the costs and features of using gemini-embedding-2-preview in your embedding applications.

Pricing Information

Input Cost$0.20 per 1M tokens
Image Output Cost$0.0000 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.

Model Capabilities

✓Vision - Process and understand images
✓Audio Input - Accept audio data as input
✓Response Schema - Structured output formatting
When should you use gemini-embedding-2-preview?

gemini-embedding-2-preview is best suited for the following scenarios:

  • Semantic search and similarity matching
  • RAG pipelines and vector databases
  • Document clustering and recommendations
  • Multimodal applications requiring image or audio processing
  • Content analysis across multiple media types
When should you avoid gemini-embedding-2-preview?
  • Complex multi-step reasoning or planning tasks
  • Very large documents or long conversational histories
  • General-purpose text generation or conversational AI
  • Creative writing or content generation tasks
How does gemini-embedding-2-preview compare to similar models?

This model offers competitive input token pricing, making it cost-effective for applications that require extensive context or frequent input processing.

Understanding gemini-embedding-2-preview pricing
  • gemini-embedding-2-preview is a embedding and vector search model provided by OpenRouter.
  • Input tokens are priced at $0.20 per 1M tokens.
  • Image output is priced at $0.0000 per image.
  • The model supports a maximum input capacity of 8,192 tokens.
  • The model includes vision capabilities for processing and analysing images.
  • Supports audio input for processing audio data.
  • OpenRouter offers gemini-embedding-2-preview for embedding and vector search workloads, semantic search, similarity matching, recommendation systems, and vector-based applications.

How to Use This Calculator

Step 1: Enter the number of input tokens you expect to use. Input tokens include your prompt, system messages, and any context you provide to the model.

Step 2: Specify the number of output tokens you anticipate. Output tokens are the text generated by the model in response to your input.

Step 3: Review the cost breakdown to see the total estimated cost for your usage. The calculator automatically updates as you adjust the token counts.