A 2.4-trillion-parameter MoE flagship model with improved capabilities in coding and office scenarios, suitable for professional tasks such as law, finance, and design. It provides native visual understanding, supports semantic parsing of ultra-long documents and long videos, and supports autonomous planning and iteration for long-horizon tasks.
model parameter): qwen3.8-max
Snapshot: qwen3.8-max-0902 (alias qwen3.8-max-2026-09-02)
Model Capabilities
- China (Beijing)
- Singapore
- Germany (Frankfurt)
- US (Virginia)
- Japan (Tokyo)
- Hong Kong (China)
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 |
Context Limits
Parameter | Value | Parameter | Value |
|---|---|---|---|
Max Input Length | 991808 | Max Output Length | 131072 |
Max Input Length (Thinking Mode) | 983616 | Max Output Length (Thinking Mode) | 131072 |
Context Window | 1000000 | Max Chain-of-Thought Length | 262144 |
The supported model length may vary depending on different combinations of API input parameters.
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)
- Japan (Tokyo)
Billing Item | Price (CNY) | Unit |
|---|---|---|
Input | 12 | Per 1M tokens |
Output | 36 | Per 1M tokens |
Input(Implicit Cache) | 1.5 | Per 1M tokens |
Input(Batch File) | 6 | Per 1M tokens |
Output(Batch File) | 18 | Per 1M tokens |
Explicit Cache Creation | 15 | Per 1M tokens |
Explicit Cache Read | 1 | Per 1M tokens |
Input(Batch Chat) | 12 | Per 1M tokens |
Output(Batch Chat) | 36 | Per 1M tokens |
Rate Limits
- China (Beijing)
- Singapore
- Germany (Frankfurt)
- US (Virginia)
- Japan (Tokyo)
- Hong Kong (China)
Snapshot Versions
qwen3.8-max-0902
Qwen3.8-Max-0902 (alias qwen3.8-max-2026-09-02) is an upgraded snapshot of qwen3.8-max. Coding capability breaks new ground, handling more complex engineering-scale projects and long-horizon autonomous development. Collaborative agent performance is significantly enhanced, with greater composure in multi-tool orchestration and end-to-end task delivery. Native vision understanding is refined across chart reasoning, document parsing, and multimodal perception — sharper and more reliable. Retains the 1M context window, thinking mode, and full tool ecosystem, evolving at a higher level of intelligence.
Model Capabilities
- China (Beijing)
- Singapore
- Germany (Frankfurt)
- US (Virginia)
- Japan (Tokyo)
- Hong Kong (China)
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 |
Context Limits
Parameter | Value | Parameter | Value |
|---|---|---|---|
Max Input Length | 991808 | Max Output Length | 131072 |
Max Input Length (Thinking Mode) | 983616 | Max Output Length (Thinking Mode) | 131072 |
Context Window | 1000000 | Max Chain-of-Thought Length | 262144 |
The supported model length may vary depending on different combinations of API input parameters.
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)
- Japan (Tokyo)
Billing Item | Price (CNY) | Unit |
|---|---|---|
Input | 12 | Per 1M tokens |
Output | 36 | Per 1M tokens |
Input(Implicit Cache) | 1.5 | Per 1M tokens |
Explicit Cache Creation | 15 | Per 1M tokens |
Explicit Cache Read | 1 | Per 1M tokens |
Rate Limits
- China (Beijing)
- Singapore
- Germany (Frankfurt)
- US (Virginia)
- Japan (Tokyo)
- Hong Kong (China)