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.
Inference Service Provider
The inference service provider for text-embedding-v4 is QwenCloud.
Model Capabilities
- Singapore
- China North 2 (Beijing)
- China (Hong Kong)
| Capability | Support | Capability | Support |
|---|---|---|---|
Input Modality | Text | Output Modality | Text |
Model Experience | Unsupported | Function Calling | Unsupported |
Structured Outputs | Unsupported | Web Search | Unsupported |
Prefix Completion | Unsupported | Context Caching | Unsupported |
Batch Inference | Unsupported | Fine-tuning | Unsupported |
Context Limits
| Parameter | Value | Parameter | Value |
|---|---|---|---|
Max Input Length | — | Max Output Length | — |
Context Window | — |
Pricing
This page only shows the original pricing for model API calls, excluding any limited-time promotions. Visit QwenCloud console for promotional offers.
- Singapore
- China North 2 (Beijing)
- China (Hong Kong)
| Billing Item | Price (USD) | Unit |
|---|---|---|
Text Input | 0.07 | Per 1M tokens |
Rate Limits
- Singapore
- China North 2 (Beijing)
- China (Hong Kong)
| Parameter | Value |
|---|---|
RPM (Requests Per Minute) | 1800 |
TPM (Tokens Per Minute) | 1,000,000 |