text-multilingual-embedding-002 Cost Calculator - Vercel Ai Gateway

Calculate the cost of using text-multilingual-embedding-002 from Vercel Ai Gateway for your AI applications

text-multilingual-embedding-002 Cost Calculator

Mode: Embedding

Input Tokens0

Cost Breakdown

Input Cost$0.00002500

Total Cost$0.00002500

Pricing Details

Input: $0.0000000250 per token

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About text-multilingual-embedding-002

text-multilingual-embedding-002 is a powerful embedding AI model offered by Vercel Ai Gateway. This comprehensive guide provides detailed pricing information, technical specifications, and capabilities to help you understand the costs and features of using text-multilingual-embedding-002 in your embedding applications.

Pricing Information

Input Cost$0.02 per 1M tokens

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

When should you use text-multilingual-embedding-002?

text-multilingual-embedding-002 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 text-multilingual-embedding-002?

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 text-multilingual-embedding-002 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 text-multilingual-embedding-002 pricing

text-multilingual-embedding-002 is a embedding and vector search model provided by Vercel Ai Gateway.
Input tokens are priced at $0.02 per 1M tokens.
Vercel Ai Gateway offers text-multilingual-embedding-002 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.

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