The Qwen3 series VL models effectively integrates thinking and non-thinking modes, achieving world-leading performance in visual agent capabilities on public benchmark datasets such as OS World. This version features comprehensive upgrades in areas like visual coding, spatial perception, and multimodal reasoning, significantly enhancing visual perception and recognition abilities, and supporting the understanding of ultra-long videos.
Inference Service Provider
The inference service provider for qwen3-vl-plus is Alibaba Cloud Model Studio.
Model Capabilities
- China (Beijing)
- Singapore
- Germany (Frankfurt)
- US (Virginia)
- Hong Kong (China)
| Capability | Support | Capability | Support |
|---|---|---|---|
Input Modality | Text Image Video | Output Modality | Text |
Model Experience | Supported | Function Calling | Supported |
Structured Outputs | Supported | Web Search | Unsupported |
Prefix Completion | Supported | Context Caching | Supported |
Batch Inference | Supported | Fine-tuning | Unsupported |
Context Limits
| Parameter | Value | Parameter | Value |
|---|---|---|---|
Max Input Length | 260096 | Max Output Length | 32768 |
Context Window | 262144 | Max Input Length (Thinking Mode) | 258048 |
Max Output Length (Thinking Mode) | 32768 | Max Chain-of-Thought Length | 81920 |
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)
- Singapore
- Germany (Frankfurt)
- US (Virginia)
Input<=32k
Input<=32k
| Billing Item | Price (CNY) | Unit |
|---|---|---|
Input | 1 | Per 1M tokens |
Output | 10 | Per 1M tokens |
Input(Implicit Cache) | 0.2 | Per 1M tokens |
Input(Batch File) | 0.5 | Per 1M tokens |
Output(Batch File) | 5 | Per 1M tokens |
Explicit Cache Creation | 1.25 | Per 1M tokens |
Explicit Cache Read | 0.1 | Per 1M tokens |
Input(Batch Chat) | 1 | Per 1M tokens |
Output(Batch Chat) | 10 | Per 1M tokens |
32k<Input<=128k
32k<Input<=128k
| Billing Item | Price (CNY) | Unit |
|---|---|---|
Input | 1.5 | Per 1M tokens |
Output | 15 | Per 1M tokens |
Input(Implicit Cache) | 0.3 | Per 1M tokens |
Input(Batch File) | 0.75 | Per 1M tokens |
Output(Batch File) | 7.5 | Per 1M tokens |
Explicit Cache Creation | 1.875 | Per 1M tokens |
Explicit Cache Read | 0.15 | Per 1M tokens |
Input(Batch Chat) | 1.5 | Per 1M tokens |
Output(Batch Chat) | 15 | Per 1M tokens |
128k<Input<=256k
128k<Input<=256k
| Billing Item | Price (CNY) | Unit |
|---|---|---|
Input | 3 | Per 1M tokens |
Output | 30 | Per 1M tokens |
Input(Implicit Cache) | 0.6 | Per 1M tokens |
Input(Batch File) | 1.5 | Per 1M tokens |
Output(Batch File) | 15 | Per 1M tokens |
Explicit Cache Creation | 3.75 | Per 1M tokens |
Explicit Cache Read | 0.3 | Per 1M tokens |
Input(Batch Chat) | 3 | Per 1M tokens |
Output(Batch Chat) | 30 | Per 1M tokens |
Rate Limits
- China (Beijing)
- Singapore
- Germany (Frankfurt)
- US (Virginia)
- Hong Kong (China)
| Parameter | Value |
|---|---|
RPM (Requests Per Minute) | 3000 |
TPM (Tokens Per Minute) | 5,000,000 |