The Qwen3.5 native vision-language Flash models are built on a hybrid architecture that integrates a linear attention mechanism with a sparse mixture-of-experts model, achieving higher inference efficiency. Compared to the 3 series, these models deliver a leap forward in performance for both pure text and multimodal tasks, offering fast response times while balancing inference speed and overall performance.This model version is functionally equivalent to the snapshot model qwen3.5-flash-2026-02-23.
Inference Service Provider
The inference service provider for qwen3.5-flash 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 | Supported |
Prefix Completion | Supported | Context Caching | Supported |
Batch Inference | Supported | Fine-tuning | Unsupported |
Context Limits
| Parameter | Value | Parameter | Value |
|---|---|---|---|
Max Input Length | 991808 | Max Output Length | 65536 |
Context Window | 1000000 | Max Input Length (Thinking Mode) | 983616 |
Max Output Length (Thinking Mode) | 65536 | 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)
- Hong Kong (China)
Input<=128k
Input<=128k
| Billing Item | Price (USD) | Unit |
|---|---|---|
Input | 0.029 | Per 1M tokens |
Output | 0.287 | Per 1M tokens |
Input(Batch File) | 0.014 | Per 1M tokens |
Output(Batch File) | 0.143 | Per 1M tokens |
Explicit Cache Creation | 0.036 | Per 1M tokens |
Explicit Cache Read | 0.003 | Per 1M tokens |
Input(Batch Chat) | 0.029 | Per 1M tokens |
Output(Batch Chat) | 0.287 | Per 1M tokens |
128k<Input<=256k
128k<Input<=256k
| Billing Item | Price (USD) | Unit |
|---|---|---|
Input | 0.115 | Per 1M tokens |
Output | 1.147 | Per 1M tokens |
Input(Batch File) | 0.057 | Per 1M tokens |
Output(Batch File) | 0.573 | Per 1M tokens |
Explicit Cache Creation | 0.143 | Per 1M tokens |
Explicit Cache Read | 0.012 | Per 1M tokens |
Input(Batch Chat) | 0.115 | Per 1M tokens |
Output(Batch Chat) | 1.147 | Per 1M tokens |
256k<Input<=1m
256k<Input<=1m
| Billing Item | Price (USD) | Unit |
|---|---|---|
Input | 0.172 | Per 1M tokens |
Output | 1.72 | Per 1M tokens |
Input(Batch File) | 0.086 | Per 1M tokens |
Output(Batch File) | 0.86 | Per 1M tokens |
Explicit Cache Creation | 0.215 | Per 1M tokens |
Explicit Cache Read | 0.017 | Per 1M tokens |
Input(Batch Chat) | 0.172 | Per 1M tokens |
Output(Batch Chat) | 1.72 | Per 1M tokens |
Rate Limits
- China (Beijing)
- Singapore
- Germany (Frankfurt)
- US (Virginia)
- Hong Kong (China)
| Parameter | Value |
|---|---|
RPM (Requests Per Minute) | 30000 |
TPM (Tokens Per Minute) | 10,000,000 |
Snapshot Versions
qwen3.5-flash-2026-02-23
The Qwen3.5 native vision-language Flash models are built on a hybrid architecture that integrates a linear attention mechanism with a sparse mixture-of-experts model, achieving higher inference efficiency. Compared to the 3 series, these models deliver a leap forward in performance for both pure text and multimodal tasks, offering fast response times while balancing inference speed and overall performance.This version is a snapshot as of February 23, 2026.
Inference Service Provider
The inference service provider for qwen3.5-flash-2026-02-23 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 | Supported |
Prefix Completion | Supported | Context Caching | Unsupported |
Batch Inference | Unsupported | Fine-tuning | Supported |
Context Limits
| Parameter | Value | Parameter | Value |
|---|---|---|---|
Max Input Length | 991808 | Max Output Length | 65536 |
Context Window | 1000000 | Max Input Length (Thinking Mode) | 983616 |
Max Output Length (Thinking Mode) | 65536 | 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)
- Hong Kong (China)
Input<=128k
Input<=128k
| Billing Item | Price (USD) | Unit |
|---|---|---|
Input | 0.029 | Per 1M tokens |
Output | 0.287 | Per 1M tokens |
128k<Input<=256k
128k<Input<=256k
| Billing Item | Price (USD) | Unit |
|---|---|---|
Input | 0.115 | Per 1M tokens |
Output | 1.147 | Per 1M tokens |
256k<Input<=1m
256k<Input<=1m
| Billing Item | Price (USD) | Unit |
|---|---|---|
Input | 0.172 | Per 1M tokens |
Output | 1.72 | Per 1M tokens |
Rate Limits
- China (Beijing)
- Singapore
- Germany (Frankfurt)
- US (Virginia)
- Hong Kong (China)
| Parameter | Value |
|---|---|
RPM (Requests Per Minute) | 600 |
TPM (Tokens Per Minute) | 1,000,000 |