Qwen-Embedding

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Embedding

Overview

Embedding

The General Text Vector V4 version is a multi-language text vector model developed by the Tongyi Lab based on Qwen3. Compared to the V3 version, it significantly improves performance in text retrieval, clustering, and classification tasks. It achieves a 15% to 40% improvement in evaluation tasks such as MTEB multilingual, Chinese-English, and code retrieval. Additionally, it supports user-defined vector dimensions ranging from 64 to 2048.

Input

Text

Output

Text

Features

Prefix Completion

Function Calling

Cache

Structured Outputs

Batches

Web Search

Pricing

  • Text Input
    $0.07Per 1M tokens

Rate Limits

  • RPMRequests Per Minute
    1.80K
  • TPMTokens Per Minute
    1M

API Reference

Get API Key
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