text-embedding-v4
Qwen logo

Text Embedding V4

text-embedding-v4
Qwen
This is the Tongyi Laboratory's multilingual unified text vector model trained based on Qwen3, which significantly improves performance in text retrieval, clustering, and classification compared to version V3; it achieves a 15% to 40% improvement on evaluation tasks such as MTEB multilingual, Chinese-English, and code retrieval; supports user-defined vector dimensions ranging from 64 to 2048.

Pricing

  • Input Tokens: $0.080 /M tokens
  • Output Tokens: $0.080 /M tokens

Input Modalities

  • Text

Frequently asked questions

What is text-embedding-v4?

This is the Tongyi Laboratory's multilingual unified text vector model trained based on Qwen3, which significantly improves performance in text retrieval, clustering, and classification compared to version V3; it achieves a 15% to 40% improvement on evaluation tasks such as MTEB multilingual, Chinese-English, and code retrieval; supports user-defined vector dimensions ranging from 64 to 2048.