qwen3-vl-8b-instruct
The Instruct version of the 8B Dense model in the Qwen3-VL series requires less GPU memory and provides comprehensively upgraded image/video understanding, support for extremely long contexts like lengthy videos and documents, spatial awareness, and object recognition capabilities, making it suitable for tackling complex real-world tasks.
Inference Service Provider
The inference service provider for qwen3-vl-8b-instruct is Alibaba Cloud Model Studio.
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 |
Germany (Frankfurt)
Scope: Global
| 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 |
US (Virginia)
Scope: Global
| 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 |
32768 |
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 |
0.5 |
Per 1M tokens |
Output |
2 |
Per 1M tokens |
Fine-tuning |
12 |
Per 1M tokens |
Singapore
Scope: International
| Billing Item | Price (CNY) | Unit |
|---|---|---|
Input |
1.321 |
Per 1M tokens |
Output |
5.137 |
Per 1M tokens |
Germany (Frankfurt)
Scope: Global
| Billing Item | Price (CNY) | Unit |
|---|---|---|
Input |
0.5 |
Per 1M tokens |
Output |
2 |
Per 1M tokens |
US (Virginia)
Scope: Global
| Billing Item | Price (CNY) | Unit |
|---|---|---|
Input |
0.5 |
Per 1M tokens |
Output |
2 |
Per 1M tokens |
Rate Limits
China (Beijing)
| Parameter | Value |
|---|---|
RPM (Requests Per Minute) |
600 |
TPM (Tokens Per Minute) |
1,000,000 |
Singapore
Scope: International
| Parameter | Value |
|---|---|
RPM (Requests Per Minute) |
60 |
TPM (Tokens Per Minute) |
100,000 |
Germany (Frankfurt)
Scope: Global
| Parameter | Value |
|---|---|
RPM (Requests Per Minute) |
600 |
TPM (Tokens Per Minute) |
1,000,000 |
US (Virginia)
Scope: Global
| Parameter | Value |
|---|---|
RPM (Requests Per Minute) |
60 |
TPM (Tokens Per Minute) |
100,000 |