Qwen-Embedding
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Embedding
Overview
Embedding
The general text vectorization model is a multilingual unified text vectorization model developed by Tongyi Lab based on the large language model (LLM) foundation. This model is designed for multiple mainstream languages worldwide and provides advanced vectorization services to help developers convert text data into high-quality vector data.
Input
Text
Output
Text
Features
Prefix Completion
Function Calling
Cache
Structured Outputs
Batches
Web Search
Pricing
- Embedding(Batch File)$0.035Per 1M tokens
- Text Input$0.07Per 1M tokens
Rate Limits
- RPMRequests Per Minute6K
- TPMTokens Per Minute24M
API Reference
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