Based on Qwen3.7, this multilingual text reranking model evaluates the relevance between input queries and candidate documents. Compared to qwen3-rerank, it demonstrates significant improvements in general and web search, code retrieval, instruction following, as well as agentic and memory retrieval. It achieves superior performance across evaluation tasks such as MTEB and web search, delivering an approximate 35% relative improvement in web search.
Inference Service Provider
The inference service provider for qwen3.7-text-rerank is Alibaba Cloud Model Studio.
Model Capabilities
| 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 | 32768 | Max Output Length | 0 |
Context Window | 32768 |
Pricing
This page only shows the original pricing for model API calls, excluding any limited-time promotions. Visit Model Studio Console for promotional offers.
- China (Beijing)
| Billing Item | Price (CNY) | Unit |
|---|---|---|
Text Input | 0.5 | Per 1M tokens |
Rate Limits
- China (Beijing)
| Parameter | Value |
|---|---|
RPM (Requests Per Minute) | 3000 |
TPM (Tokens Per Minute) | 9,000,000 |