UPDATES
Try Bifrost Enterprise free for 14 days.
Explore now

gemini-embedding-001 Cost Calculator - Google Gemini

Calculate the cost of using gemini-embedding-001 from Google Gemini for your AI applications

gemini-embedding-001 Cost Calculator

Mode: Embedding

Max: 2,048 tokens

Cost Breakdown

Input Cost$0.00015000
Total Cost$0.00015000

Pricing Details

Input: $0.0000001500 per token
[ WE'RE OPEN SOURCE ]

Scale with the Fastest LLM Gateway

Built for enterprise-grade reliability, governance, and scale. Deploy in seconds.

Book a Demo
or, Get started here

Model Specifications

Limits

Max Input Tokens2,048
Max Tokens2,048

About gemini-embedding-001

gemini-embedding-001 is a powerful embedding AI model offered by Google Gemini. This comprehensive guide provides detailed pricing information, technical specifications, and capabilities to help you understand the costs and features of using gemini-embedding-001 in your embedding applications.

Pricing Information

Input Cost$0.15 per 1M tokens

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

Technical Specifications

Maximum Input Tokens2,048
Maximum Total Tokens2,048

Pro Tip

Use the maximum token limits shown above to understand the model's capacity. This model can handle up to 2,048 input tokens.

When should you use gemini-embedding-001?

gemini-embedding-001 is best suited for the following scenarios:

  • Semantic search and similarity matching
  • RAG pipelines and vector databases
  • Document clustering and recommendations
When should you avoid gemini-embedding-001?
  • Complex multi-step reasoning or planning tasks
  • Applications requiring image, audio, or multimodal inputs
  • Very large documents or long conversational histories
  • General-purpose text generation or conversational AI
  • Creative writing or content generation tasks
How does gemini-embedding-001 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-001 pricing
  • gemini-embedding-001 is a embedding and vector search model provided by Google Gemini.
  • Input tokens are priced at $0.15 per 1M tokens.
  • The model supports a maximum input capacity of 2,048 tokens.
  • Google Gemini offers gemini-embedding-001 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.

← Back to All ModelsView All Google Gemini Models