qwen-vl-max
Qwen-VL-Max is a large-scale visual language model of the Qwen series. Compared to the Plus version, it further enhances visual reasoning capabilities and instruction-following abilities, offering higher levels of visual perception and cognition. It delivers optimal performance on more complex tasks.This model version is functionally equivalent to the snapshot model qwen-vl-max-2025-08-13.
Model Capabilities
China (Beijing)
| Capability | Support | Capability | Support |
|---|---|---|---|
Input Modality |
Text Image Video |
Output Modality |
Text |
Model Experience |
Function Calling |
||
Structured Outputs |
Web Search |
||
Prefix Completion |
Context Caching |
||
Batch Inference |
Fine-tuning |
Singapore
Scope: International
| Capability | Support | Capability | Support |
|---|---|---|---|
Input Modality |
Text Image Video |
Output Modality |
Text |
Model Experience |
Function Calling |
||
Structured Outputs |
Web Search |
||
Prefix Completion |
Context Caching |
||
Batch Inference |
Fine-tuning |
Context Limits
| Parameter | Value | Parameter | Value |
|---|---|---|---|
Max Input Length |
129024 |
Max Output Length |
8192 |
Context Window |
131072 |
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 |
|---|---|---|
Input |
1.6 |
Per 1M tokens |
Output |
4 |
Per 1M tokens |
Input(Implicit Cache) |
0.32 |
Per 1M tokens |
Input(Batch File) |
0.8 |
Per 1M tokens |
Output(Batch File) |
2 |
Per 1M tokens |
Fine-tuning |
150 |
Per 1M tokens |
Singapore
Scope: International
| Billing Item | Price (CNY) | Unit |
|---|---|---|
Input |
5.871 |
Per 1M tokens |
Output |
23.486 |
Per 1M tokens |
Input(Implicit Cache) |
1.174 |
Per 1M tokens |
Rate Limits
China (Beijing)
| Parameter | Value |
|---|---|
RPM (Requests Per Minute) |
1200 |
TPM (Tokens Per Minute) |
1,000,000 |
Singapore
Scope: International
| Parameter | Value |
|---|---|
RPM (Requests Per Minute) |
1200 |
TPM (Tokens Per Minute) |
1,000,000 |