Models

Text Embedding V4 Compare

Compare pricing, specifications, performance, and benchmarks for up to four models.

QwenText Embedding V4
Qwen logo
Text Embedding V4
Qwen · text → text

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.

Input$0.08 /M
Output$0.08 /M

Pick a second model to start comparing.

Popular comparisons

Related model match-ups readers also look at.