Qwen3-VL-Rerank is a reranking model that deeply understands rich multimodal information (text, images, video). After initial retrieval, it applies advanced cross-modal correlation to intelligently re-rank candidates, prioritizing the most relevant results. It improves cross-modal search accuracy, optimizes image/video retrieval precision, enhances image clustering quality, and enables efficient complex multimodal retrieval and tagging.
Inference Service Provider
The inference service provider for qwen3-vl-rerank is Alibaba Cloud Model Studio.
Model Capabilities
| Capability | Support | Capability | Support |
|---|---|---|---|
Input Modality | Text Image Video | 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 | 120000 | Max Output Length | — |
Context Window | — |
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 |
|---|---|---|
Image Input | 0.258 | Per 1M tokens |
Text Input | 0.1 | Per 1M tokens |
Rate Limits
- China (Beijing)
| Parameter | Value |
|---|---|
RPM (Requests Per Minute) | 600 |
TPM (Tokens Per Minute) | 9,000,000 |