Qwen3-7-Text-Embedding is a multilingual text vector model based on Qwen3.7, offering significant improvements in text retrieval, clustering, and classification over text-embedding-v4. It achieves 20% better performance in MTEB multilingual, Chinese-English, and code retrieval tasks and supports customizable vector dimensions (256-2560).
Inference Service Provider
The inference service provider for qwen3.7-text-embedding is Alibaba Cloud Model Studio.
Model Capabilities
Singapore
Scope: International
| 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 | Supported | Fine-tuning | Unsupported |
Context Limits
| Parameter | Value | Parameter | Value |
|---|---|---|---|
Max Input Length | 131072 | Max Output Length | — |
Context Window | 131072 |
Pricing
This page only shows the original pricing for model API calls, excluding any limited-time promotions. Visit Model Studio Console for promotional offers.
Singapore
Scope: International
| Billing Item | Price (USD) | Unit |
|---|---|---|
Text Input | 0.07 | Per 1M tokens |
Rate Limits
Singapore
Scope: International
| Parameter | Value |
|---|---|
RPM (Requests Per Minute) | 2000 |
TPM (Tokens Per Minute) | 1,000,000 |