The Qwen3 series of small-scale visual understanding models effectively integrates thinking and non-thinking modes, delivering superior performance compared to the open-source Qwen3-VL-30B-A3B while maintaining fast response speeds. It features a comprehensive upgrade in image/video understanding, supporting ultra-long contexts such as extended videos and documents, spatial awareness, and object recognition across various domains. Equipped with 2D/3D visual localization capabilities, it is well-suited for tackling complex real-world tasks.This model version is functionally equivalent to the snapshot model qwen3-vl-flash-2026-01-22.
Inference Service Provider
The inference service provider for qwen3-vl-flash is Alibaba Cloud Model Studio.
Model Capabilities
- China (Beijing)
- Singapore
- Germany (Frankfurt)
- US (Virginia)
| 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 | Unsupported | 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 (USD) | Unit |
|---|---|---|
Input | 0.022 | Per 1M tokens |
Output | 0.215 | Per 1M tokens |
Input(Implicit Cache) | 0.005 | Per 1M tokens |
Input(Batch File) | 0.011 | Per 1M tokens |
Output(Batch File) | 0.108 | Per 1M tokens |
Explicit Cache Creation | 0.028 | Per 1M tokens |
Explicit Cache Read | 0.002 | Per 1M tokens |
Input(Batch Chat) | 0.022 | Per 1M tokens |
Output(Batch Chat) | 0.215 | Per 1M tokens |
32k<Input<=128k
32k<Input<=128k
| Billing Item | Price (USD) | Unit |
|---|---|---|
Input | 0.043 | Per 1M tokens |
Output | 0.43 | Per 1M tokens |
Input(Implicit Cache) | 0.009 | Per 1M tokens |
Input(Batch File) | 0.022 | Per 1M tokens |
Output(Batch File) | 0.215 | Per 1M tokens |
Explicit Cache Creation | 0.054 | Per 1M tokens |
Explicit Cache Read | 0.004 | Per 1M tokens |
Input(Batch Chat) | 0.043 | Per 1M tokens |
Output(Batch Chat) | 0.43 | Per 1M tokens |
128k<Input<=256k
128k<Input<=256k
| Billing Item | Price (USD) | Unit |
|---|---|---|
Input | 0.086 | Per 1M tokens |
Output | 0.859 | Per 1M tokens |
Input(Implicit Cache) | 0.018 | Per 1M tokens |
Input(Batch File) | 0.043 | Per 1M tokens |
Output(Batch File) | 0.43 | Per 1M tokens |
Explicit Cache Creation | 0.108 | Per 1M tokens |
Explicit Cache Read | 0.009 | Per 1M tokens |
Input(Batch Chat) | 0.086 | Per 1M tokens |
Output(Batch Chat) | 0.859 | Per 1M tokens |
Rate Limits
- China (Beijing)
- Singapore
- Germany (Frankfurt)
- US (Virginia)
| Parameter | Value |
|---|---|
RPM (Requests Per Minute) | 3000 |
TPM (Tokens Per Minute) | 5,000,000 |
Snapshot Versions
qwen3-vl-flash-2026-01-22
The Qwen3 series of small-sized visual understanding models effectively integrates thinking and non-thinking modes. Compared with the snapshot taken on October 15, 2025, the overall performance of the model has improved significantly: it delivers enhanced capabilities in general visual recognition and reasoning, and shows marked improvements in recognition accuracy across various business scenarios such as security, in-store inspections, equipment monitoring, and photo-based problem solving. This version is a snapshot as of January 22, 2026.
Inference Service Provider
The inference service provider for qwen3-vl-flash-2026-01-22 is Alibaba Cloud Model Studio.
Model Capabilities
| Capability | Support | Capability | Support |
|---|---|---|---|
Input Modality | Text Image Video | Output Modality | Text |
Model Experience | Supported | 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 | 258048 | 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)
Input<=32k
Input<=32k
| Billing Item | Price (USD) | Unit |
|---|---|---|
Input | 0.022 | Per 1M tokens |
Output | 0.215 | Per 1M tokens |
32k<Input<=128k
32k<Input<=128k
| Billing Item | Price (USD) | Unit |
|---|---|---|
Input | 0.043 | Per 1M tokens |
Output | 0.43 | Per 1M tokens |
128k<Input<=256k
128k<Input<=256k
| Billing Item | Price (USD) | Unit |
|---|---|---|
Input | 0.086 | Per 1M tokens |
Output | 0.859 | Per 1M tokens |
Rate Limits
- China (Beijing)
- Singapore
- Germany (Frankfurt)
| Parameter | Value |
|---|---|
RPM (Requests Per Minute) | 60 |
TPM (Tokens Per Minute) | 100,000 |
qwen3-vl-flash-2025-10-15
The Qwen3 series of small-scale visual understanding models effectively integrates thinking and non-thinking modes, delivering superior performance compared to the open-source Qwen3-VL-30B-A3B while maintaining fast response speeds. It features a comprehensive upgrade in image/video understanding, supporting ultra-long contexts such as extended videos and documents, spatial awareness, and object recognition across various domains. Equipped with 2D/3D visual localization capabilities, it is well-suited for tackling complex real-world tasks.This version is a snapshot as of October 15, 2025.
Inference Service Provider
The inference service provider for qwen3-vl-flash-2025-10-15 is Alibaba Cloud Model Studio.
Model Capabilities
- China (Beijing)
- Singapore
- Germany (Frankfurt)
- US (Virginia)
| 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 | Unsupported |
Batch Inference | Unsupported | 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 (USD) | Unit |
|---|---|---|
Input | 0.022 | Per 1M tokens |
Output | 0.215 | Per 1M tokens |
32k<Input<=128k
32k<Input<=128k
| Billing Item | Price (USD) | Unit |
|---|---|---|
Input | 0.043 | Per 1M tokens |
Output | 0.43 | Per 1M tokens |
128k<Input<=256k
128k<Input<=256k
| Billing Item | Price (USD) | Unit |
|---|---|---|
Input | 0.086 | Per 1M tokens |
Output | 0.859 | Per 1M tokens |
Rate Limits
- China (Beijing)
- Singapore
- Germany (Frankfurt)
- US (Virginia)
| Parameter | Value |
|---|---|
RPM (Requests Per Minute) | 60 |
TPM (Tokens Per Minute) | 100,000 |