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 Minute
    6K
  • TPMTokens Per Minute
    24M

API Reference

Get API Key
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