qwen3.7-flash
The Qwen3.7 native vision-language series Flash models comprehensively enhance multimodal understanding and Agent execution capabilities compared to 3.6-Flash. Key improvements include strengthened foundational multimodal abilities, enhanced object recognition, improved real-world perception and spatial intelligence. Multimodal Agent scenarios such as Search Agent and CI Agent have seen significant upgrades, with more stable end-to-end task execution. Multimodal coding capabilities are optimized, delivering a smoother vibe coding experience.
Inference Service Provider
The inference service provider for qwen3.7-flash is Alibaba Cloud Model Studio.
Model Capabilities
China (Beijing)
| Capability | Support | Capability | Support |
|---|---|---|---|
Input Modality | Image Text 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 |
Singapore
Scope: International
| Capability | Support | Capability | Support |
|---|---|---|---|
Input Modality | Image Text Video | Output Modality | Text |
Model Experience | Supported | Function Calling | Supported |
Structured Outputs | Supported | Web Search | Supported |
Prefix Completion | Supported | Context Caching | Supported |
Batch Inference | Unsupported | Fine-tuning | Unsupported |
Germany (Frankfurt)
Scope: Global
| Capability | Support | Capability | Support |
|---|---|---|---|
Input Modality | Image Text 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 |
US (Virginia)
Scope: Global
| Capability | Support | Capability | Support |
|---|---|---|---|
Input Modality | Image Text 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 |
Scope: US
| Capability | Support | Capability | Support |
|---|---|---|---|
Input Modality | Image Text 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 |
Japan (Tokyo)
Scope: Global
| Capability | Support | Capability | Support |
|---|---|---|---|
Input Modality | Image Text 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 |
Hong Kong (China)
Scope: Global
| Capability | Support | Capability | Support |
|---|---|---|---|
Input Modality | Image Text 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 | 991808 | Max Output Length | 131072 |
Context Window | 1000000 | Max Input Length (Thinking Mode) | 983616 |
Max Output Length (Thinking Mode) | 131072 | Max Chain-of-Thought Length | 262144 |
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)
32k<Input<=256k
| Billing Item | Price (CNY) | Unit |
|---|---|---|
Input | 0.6 | Per 1M tokens |
Output | 2.4 | Per 1M tokens |
Input(Implicit Cache) | 0.12 | Per 1M tokens |
Input(Batch File) | 0.3 | Per 1M tokens |
Output(Batch File) | 1.2 | Per 1M tokens |
Explicit Cache Creation | 0.75 | Per 1M tokens |
Explicit Cache Read | 0.06 | Per 1M tokens |
Input(Batch Chat) | 0.6 | Per 1M tokens |
Output(Batch Chat) | 2.4 | Per 1M tokens |
256k<Input<=1m
| Billing Item | Price (CNY) | Unit |
|---|---|---|
Input | 1.2 | Per 1M tokens |
Output | 4.8 | Per 1M tokens |
Input(Implicit Cache) | 0.24 | Per 1M tokens |
Input(Batch File) | 0.6 | Per 1M tokens |
Output(Batch File) | 2.4 | Per 1M tokens |
Explicit Cache Creation | 1.5 | Per 1M tokens |
Explicit Cache Read | 0.12 | Per 1M tokens |
Input(Batch Chat) | 1.2 | Per 1M tokens |
Output(Batch Chat) | 4.8 | Per 1M tokens |
Singapore
Scope: International
32k<Input<=256k
| Billing Item | Price (CNY) | Unit |
|---|---|---|
Input | 0.749 | Per 1M tokens |
Output | 2.998 | Per 1M tokens |
Input(Implicit Cache) | 0.15 | Per 1M tokens |
Explicit Cache Creation | 0.937 | Per 1M tokens |
Explicit Cache Read | 0.075 | Per 1M tokens |
256k<Input<=1m
| Billing Item | Price (CNY) | Unit |
|---|---|---|
Input | 1.499 | Per 1M tokens |
Output | 5.995 | Per 1M tokens |
Input(Implicit Cache) | 0.3 | Per 1M tokens |
Explicit Cache Creation | 1.874 | Per 1M tokens |
Explicit Cache Read | 0.15 | Per 1M tokens |
Germany (Frankfurt)
Scope: Global
32k<Input<=256k
| Billing Item | Price (CNY) | Unit |
|---|---|---|
Input | 0.6 | Per 1M tokens |
Output | 2.4 | Per 1M tokens |
Input(Implicit Cache) | 0.12 | Per 1M tokens |
Explicit Cache Creation | 0.75 | Per 1M tokens |
Explicit Cache Read | 0.06 | Per 1M tokens |
256k<Input<=1m
| Billing Item | Price (CNY) | Unit |
|---|---|---|
Input | 1.2 | Per 1M tokens |
Output | 4.8 | Per 1M tokens |
Input(Implicit Cache) | 0.24 | Per 1M tokens |
Explicit Cache Creation | 1.5 | Per 1M tokens |
Explicit Cache Read | 0.12 | Per 1M tokens |
US (Virginia)
Scope: Global
32k<Input<=256k
| Billing Item | Price (CNY) | Unit |
|---|---|---|
Input | 0.6 | Per 1M tokens |
Output | 2.4 | Per 1M tokens |
Input(Implicit Cache) | 0.12 | Per 1M tokens |
Explicit Cache Creation | 0.75 | Per 1M tokens |
Explicit Cache Read | 0.06 | Per 1M tokens |
256k<Input<=1m
| Billing Item | Price (CNY) | Unit |
|---|---|---|
Input | 1.2 | Per 1M tokens |
Output | 4.8 | Per 1M tokens |
Input(Implicit Cache) | 0.24 | Per 1M tokens |
Explicit Cache Creation | 1.5 | Per 1M tokens |
Explicit Cache Read | 0.12 | Per 1M tokens |
Scope: US
| Billing Item | Price (CNY) | Unit |
|---|---|---|
Input | 0.225 | Per 1M tokens |
Output | 0.974 | Per 1M tokens |
Input(Implicit Cache) | 0.045 | Per 1M tokens |
Explicit Cache Creation | 0.281 | Per 1M tokens |
Explicit Cache Read | 0.022 | Per 1M tokens |
Japan (Tokyo)
Scope: Global
32k<Input<=256k
| Billing Item | Price (CNY) | Unit |
|---|---|---|
Input | 0.6 | Per 1M tokens |
Output | 2.4 | Per 1M tokens |
Input(Implicit Cache) | 0.12 | Per 1M tokens |
Explicit Cache Creation | 0.75 | Per 1M tokens |
Explicit Cache Read | 0.06 | Per 1M tokens |
256k<Input<=1m
| Billing Item | Price (CNY) | Unit |
|---|---|---|
Input | 1.2 | Per 1M tokens |
Output | 4.8 | Per 1M tokens |
Input(Implicit Cache) | 0.24 | Per 1M tokens |
Explicit Cache Creation | 1.5 | Per 1M tokens |
Explicit Cache Read | 0.12 | Per 1M tokens |
Rate Limits
China (Beijing)
| Parameter | Value |
|---|---|
RPM (Requests Per Minute) | 30000 |
TPM (Tokens Per Minute) | 5,000,000 |
Singapore
Scope: International
| Parameter | Value |
|---|---|
RPM (Requests Per Minute) | 15000 |
TPM (Tokens Per Minute) | 5,000,000 |
Germany (Frankfurt)
Scope: Global
| Parameter | Value |
|---|---|
RPM (Requests Per Minute) | 15000 |
TPM (Tokens Per Minute) | 5,000,000 |
US (Virginia)
Scope: Global
| Parameter | Value |
|---|---|
RPM (Requests Per Minute) | 15000 |
TPM (Tokens Per Minute) | 5,000,000 |
Scope: US
| Parameter | Value |
|---|---|
RPM (Requests Per Minute) | 15000 |
TPM (Tokens Per Minute) | 5,000,000 |
Japan (Tokyo)
Scope: Global
| Parameter | Value |
|---|---|
RPM (Requests Per Minute) | 15000 |
TPM (Tokens Per Minute) | 5,000,000 |
Hong Kong (China)
Scope: Global
| Parameter | Value |
|---|---|
RPM (Requests Per Minute) | 15000 |
TPM (Tokens Per Minute) | 5,000,000 |
Snapshot Versions
qwen3.7-flash-2026-07-15
The Qwen3.7 native vision-language series Flash models comprehensively enhance multimodal understanding and Agent execution capabilities compared to 3.6-Flash. Key improvements include strengthened foundational multimodal abilities, enhanced object recognition, improved real-world perception and spatial intelligence. Multimodal Agent scenarios such as Search Agent and CI Agent have seen significant upgrades, with more stable end-to-end task execution. Multimodal coding capabilities are optimized, delivering a smoother vibe coding experience. This version is a snapshot taken on July 15, 2026.
Inference Service Provider
The inference service provider for qwen3.7-flash-2026-07-15 is Alibaba Cloud Model Studio.
Model Capabilities
China (Beijing)
| Capability | Support | Capability | Support |
|---|---|---|---|
Input Modality | Image Text Video | Output Modality | Text |
Model Experience | Supported | Function Calling | Supported |
Structured Outputs | Supported | Web Search | Supported |
Prefix Completion | Supported | Context Caching | Supported |
Batch Inference | Unsupported | Fine-tuning | Unsupported |
Singapore
Scope: International
| Capability | Support | Capability | Support |
|---|---|---|---|
Input Modality | Image Text Video | Output Modality | Text |
Model Experience | Supported | Function Calling | Supported |
Structured Outputs | Supported | Web Search | Supported |
Prefix Completion | Supported | Context Caching | Supported |
Batch Inference | Unsupported | Fine-tuning | Unsupported |
Germany (Frankfurt)
Scope: Global
| Capability | Support | Capability | Support |
|---|---|---|---|
Input Modality | Image Text 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 |
US (Virginia)
Scope: Global
| Capability | Support | Capability | Support |
|---|---|---|---|
Input Modality | Image Text 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 |
Japan (Tokyo)
Scope: Global
| Capability | Support | Capability | Support |
|---|---|---|---|
Input Modality | Image Text 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 |
Hong Kong (China)
Scope: Global
| Capability | Support | Capability | Support |
|---|---|---|---|
Input Modality | Image Text 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 | 991808 | Max Output Length | 131072 |
Context Window | 1000000 | Max Input Length (Thinking Mode) | 983616 |
Max Output Length (Thinking Mode) | 131072 | Max Chain-of-Thought Length | 262144 |
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)
32k<Input<=256k
| Billing Item | Price (CNY) | Unit |
|---|---|---|
Input | 0.6 | Per 1M tokens |
Output | 2.4 | Per 1M tokens |
Input(Implicit Cache) | 0.12 | Per 1M tokens |
Explicit Cache Creation | 0.75 | Per 1M tokens |
Explicit Cache Read | 0.06 | Per 1M tokens |
256k<Input<=1m
| Billing Item | Price (CNY) | Unit |
|---|---|---|
Input | 1.2 | Per 1M tokens |
Output | 4.8 | Per 1M tokens |
Input(Implicit Cache) | 0.24 | Per 1M tokens |
Explicit Cache Creation | 1.5 | Per 1M tokens |
Explicit Cache Read | 0.12 | Per 1M tokens |
Singapore
Scope: International
32k<Input<=256k
| Billing Item | Price (CNY) | Unit |
|---|---|---|
Input | 0.749 | Per 1M tokens |
Output | 2.998 | Per 1M tokens |
Input(Implicit Cache) | 0.15 | Per 1M tokens |
Explicit Cache Creation | 0.937 | Per 1M tokens |
Explicit Cache Read | 0.075 | Per 1M tokens |
256k<Input<=1m
| Billing Item | Price (CNY) | Unit |
|---|---|---|
Input | 1.499 | Per 1M tokens |
Output | 5.995 | Per 1M tokens |
Input(Implicit Cache) | 0.3 | Per 1M tokens |
Explicit Cache Creation | 1.874 | Per 1M tokens |
Explicit Cache Read | 0.15 | Per 1M tokens |
Germany (Frankfurt)
Scope: Global
32k<Input<=256k
| Billing Item | Price (CNY) | Unit |
|---|---|---|
Input | 0.6 | Per 1M tokens |
Output | 2.4 | Per 1M tokens |
Input(Implicit Cache) | 0.12 | Per 1M tokens |
Explicit Cache Creation | 0.75 | Per 1M tokens |
Explicit Cache Read | 0.06 | Per 1M tokens |
256k<Input<=1m
| Billing Item | Price (CNY) | Unit |
|---|---|---|
Input | 1.2 | Per 1M tokens |
Output | 4.8 | Per 1M tokens |
Input(Implicit Cache) | 0.24 | Per 1M tokens |
Explicit Cache Creation | 1.5 | Per 1M tokens |
Explicit Cache Read | 0.12 | Per 1M tokens |
US (Virginia)
Scope: Global
32k<Input<=256k
| Billing Item | Price (CNY) | Unit |
|---|---|---|
Input | 0.6 | Per 1M tokens |
Output | 2.4 | Per 1M tokens |
Input(Implicit Cache) | 0.12 | Per 1M tokens |
Explicit Cache Creation | 0.75 | Per 1M tokens |
Explicit Cache Read | 0.06 | Per 1M tokens |
256k<Input<=1m
| Billing Item | Price (CNY) | Unit |
|---|---|---|
Input | 1.2 | Per 1M tokens |
Output | 4.8 | Per 1M tokens |
Input(Implicit Cache) | 0.24 | Per 1M tokens |
Explicit Cache Creation | 1.5 | Per 1M tokens |
Explicit Cache Read | 0.12 | Per 1M tokens |
Japan (Tokyo)
Scope: Global
32k<Input<=256k
| Billing Item | Price (CNY) | Unit |
|---|---|---|
Input | 0.6 | Per 1M tokens |
Output | 2.4 | Per 1M tokens |
Input(Implicit Cache) | 0.12 | Per 1M tokens |
Explicit Cache Creation | 0.75 | Per 1M tokens |
Explicit Cache Read | 0.06 | Per 1M tokens |
256k<Input<=1m
| Billing Item | Price (CNY) | Unit |
|---|---|---|
Input | 1.2 | Per 1M tokens |
Output | 4.8 | Per 1M tokens |
Input(Implicit Cache) | 0.24 | Per 1M tokens |
Explicit Cache Creation | 1.5 | Per 1M tokens |
Explicit Cache Read | 0.12 | Per 1M tokens |
Rate Limits
China (Beijing)
| Parameter | Value |
|---|---|
RPM (Requests Per Minute) | 30000 |
TPM (Tokens Per Minute) | 5,000,000 |
Singapore
Scope: International
| Parameter | Value |
|---|---|
RPM (Requests Per Minute) | 15000 |
TPM (Tokens Per Minute) | 5,000,000 |
Germany (Frankfurt)
Scope: Global
| Parameter | Value |
|---|---|
RPM (Requests Per Minute) | 15000 |
TPM (Tokens Per Minute) | 5,000,000 |
Japan (Tokyo)
Scope: Global
| Parameter | Value |
|---|---|
RPM (Requests Per Minute) | 15000 |
TPM (Tokens Per Minute) | 5,000,000 |
Hong Kong (China)
Scope: Global
| Parameter | Value |
|---|---|
RPM (Requests Per Minute) | 15000 |
TPM (Tokens Per Minute) | 5,000,000 |