text-embedding-v4

by 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.

API Pricing

Input	$0.08 / 1M tokens
Output	$0.08 / 1M tokens

Specifications

Modalities

text

Use text-embedding-v4 via the AIHubMix unified API — one interface for every major LLM.