A text-ranking model trained on the Qwen LLM foundation performs relevance ranking for input queries and candidate documents. It supports over 100 languages and long-text inputs, and is suitable for applications such as text retrieval and RAG. Its performance is aligned with the open-source Qwen3-Rerank series models.
Inference Service Provider
The inference service provider for qwen3-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 | 30000 | Max Output Length | 0 |
Context Window | 30000 |
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 (USD) | Unit |
|---|---|---|
Text Input | 0.069 | Per 1M tokens |
Singapore
Scope: International
| Billing Item | Price (USD) | Unit |
|---|---|---|
Text Input | 0.1 | Per 1M tokens |
Rate Limits
China (Beijing)
| Parameter | Value |
|---|---|
RPM (Requests Per Minute) | 5400 |
TPM (Tokens Per Minute) | 5,000,000,000 |
Singapore
Scope: International
| Parameter | Value |
|---|---|
RPM (Requests Per Minute) | 5400 |
TPM (Tokens Per Minute) | 5,000,000,000 |