# qwen3.5-397b-a17b

> The Qwen3.5 series 397B-A17B native vision-language model is built on a hybrid architecture that integrates a linear attention mechanism with a sparse mixture-of-experts model, achieving higher inference efficiency. It delivers state-of-the-art performance comparable to leading-edge models across a wide range of tasks, including language understanding, logical reasoning, code generation, agent-based tasks, image understanding, video understanding, and graphical user interface (GUI) interactions. With its robust code-generation and agent capabilities, the model exhibits strong generalization across diverse agent.

## Inference Service Provider <span id="h-490b2834e6" />

The inference service provider for `qwen3.5-397b-a17b` is Alibaba Cloud Model Studio.

## Model Capabilities <span id="h-861a902ef6" />

<Tabs>
  <Tab title="China (Beijing)">
    <table><thead><tr><th>Capability</th><th>Support</th><th>Capability</th><th>Support</th></tr></thead><tbody><tr><td><p>Input Modality</p></td><td><p><strong>Text</strong> <strong>Image</strong> <strong>Video</strong></p></td><td><p>Output Modality</p></td><td><p><strong>Text</strong></p></td></tr><tr><td><p>Model Experience</p></td><td><p>Supported</p></td><td><p>Function Calling</p></td><td><p>Supported</p></td></tr><tr><td><p>Structured Outputs</p></td><td><p>Supported</p></td><td><p>Web Search</p></td><td><p>Supported</p></td></tr><tr><td><p>Prefix Completion</p></td><td><p>Supported</p></td><td><p>Context Caching</p></td><td><p>Unsupported</p></td></tr><tr><td><p>Batch Inference</p></td><td><p>Unsupported</p></td><td><p>Fine-tuning</p></td><td><p>Unsupported</p></td></tr></tbody></table>
  </Tab>

  <Tab title="Singapore">
    Scope: International

    <table><thead><tr><th>Capability</th><th>Support</th><th>Capability</th><th>Support</th></tr></thead><tbody><tr><td><p>Input Modality</p></td><td><p><strong>Text</strong> <strong>Image</strong> <strong>Video</strong></p></td><td><p>Output Modality</p></td><td><p><strong>Text</strong></p></td></tr><tr><td><p>Model Experience</p></td><td><p>Supported</p></td><td><p>Function Calling</p></td><td><p>Supported</p></td></tr><tr><td><p>Structured Outputs</p></td><td><p>Supported</p></td><td><p>Web Search</p></td><td><p>Supported</p></td></tr><tr><td><p>Prefix Completion</p></td><td><p>Supported</p></td><td><p>Context Caching</p></td><td><p>Unsupported</p></td></tr><tr><td><p>Batch Inference</p></td><td><p>Unsupported</p></td><td><p>Fine-tuning</p></td><td><p>Unsupported</p></td></tr></tbody></table>
  </Tab>

  <Tab title="Germany (Frankfurt)">
    Scope: Global

    <table><thead><tr><th>Capability</th><th>Support</th><th>Capability</th><th>Support</th></tr></thead><tbody><tr><td><p>Input Modality</p></td><td><p><strong>Text</strong> <strong>Image</strong> <strong>Video</strong></p></td><td><p>Output Modality</p></td><td><p><strong>Text</strong></p></td></tr><tr><td><p>Model Experience</p></td><td><p>Supported</p></td><td><p>Function Calling</p></td><td><p>Supported</p></td></tr><tr><td><p>Structured Outputs</p></td><td><p>Supported</p></td><td><p>Web Search</p></td><td><p>Unsupported</p></td></tr><tr><td><p>Prefix Completion</p></td><td><p>Supported</p></td><td><p>Context Caching</p></td><td><p>Unsupported</p></td></tr><tr><td><p>Batch Inference</p></td><td><p>Unsupported</p></td><td><p>Fine-tuning</p></td><td><p>Unsupported</p></td></tr></tbody></table>
  </Tab>

  <Tab title="US (Virginia)">
    Scope: Global

    <table><thead><tr><th>Capability</th><th>Support</th><th>Capability</th><th>Support</th></tr></thead><tbody><tr><td><p>Input Modality</p></td><td><p><strong>Text</strong> <strong>Image</strong> <strong>Video</strong></p></td><td><p>Output Modality</p></td><td><p><strong>Text</strong></p></td></tr><tr><td><p>Model Experience</p></td><td><p>Supported</p></td><td><p>Function Calling</p></td><td><p>Supported</p></td></tr><tr><td><p>Structured Outputs</p></td><td><p>Supported</p></td><td><p>Web Search</p></td><td><p>Supported</p></td></tr><tr><td><p>Prefix Completion</p></td><td><p>Supported</p></td><td><p>Context Caching</p></td><td><p>Unsupported</p></td></tr><tr><td><p>Batch Inference</p></td><td><p>Unsupported</p></td><td><p>Fine-tuning</p></td><td><p>Unsupported</p></td></tr></tbody></table>
  </Tab>
</Tabs>

## Context Limits <span id="h-8351149de8" />

<table><thead><tr><th>Parameter</th><th>Value</th><th>Parameter</th><th>Value</th></tr></thead><tbody><tr><td><p>Max Input Length</p></td><td><p>260096</p></td><td><p>Max Output Length</p></td><td><p>65536</p></td></tr><tr><td><p>Context Window</p></td><td><p>262144</p></td><td><p>Max Input Length (Thinking Mode)</p></td><td><p>258048</p></td></tr><tr><td><p>Max Output Length (Thinking Mode)</p></td><td><p>65536</p></td><td><p>Max Chain-of-Thought Length</p></td><td><p>81920</p></td></tr></tbody></table>

## Pricing <span id="h-b4074a4f1f" />

This page only shows the original pricing for model API calls, excluding any limited-time promotions. Visit [Model Studio Console](https://modelstudio.console.alibabacloud.com/ap-southeast-1/model/market) for promotional offers.

<Tabs>
  <Tab title="China (Beijing)">
    <Accordion title="Input<=128k" defaultOpen>
      <table><thead><tr><th>Billing Item</th><th>Price (USD)</th><th>Unit</th></tr></thead><tbody><tr><td><p>Input</p></td><td><p>0.172</p></td><td><p>Per 1M tokens</p></td></tr><tr><td><p>Output</p></td><td><p>1.032</p></td><td><p>Per 1M tokens</p></td></tr></tbody></table>
    </Accordion>

    <Accordion title="128k<Input<=256k">
      <table><thead><tr><th>Billing Item</th><th>Price (USD)</th><th>Unit</th></tr></thead><tbody><tr><td><p>Input</p></td><td><p>0.43</p></td><td><p>Per 1M tokens</p></td></tr><tr><td><p>Output</p></td><td><p>2.58</p></td><td><p>Per 1M tokens</p></td></tr></tbody></table>
    </Accordion>
  </Tab>

  <Tab title="Singapore">
    Scope: International

    <table><thead><tr><th>Billing Item</th><th>Price (USD)</th><th>Unit</th></tr></thead><tbody><tr><td><p>Input</p></td><td><p>0.6</p></td><td><p>Per 1M tokens</p></td></tr><tr><td><p>Output</p></td><td><p>3.6</p></td><td><p>Per 1M tokens</p></td></tr></tbody></table>
  </Tab>

  <Tab title="Germany (Frankfurt)">
    Scope: Global

    <Accordion title="Input<=128k" defaultOpen>
      <table><thead><tr><th>Billing Item</th><th>Price (USD)</th><th>Unit</th></tr></thead><tbody><tr><td><p>Input</p></td><td><p>0.172</p></td><td><p>Per 1M tokens</p></td></tr><tr><td><p>Output</p></td><td><p>1.032</p></td><td><p>Per 1M tokens</p></td></tr></tbody></table>
    </Accordion>

    <Accordion title="128k<Input<=256k">
      <table><thead><tr><th>Billing Item</th><th>Price (USD)</th><th>Unit</th></tr></thead><tbody><tr><td><p>Input</p></td><td><p>0.43</p></td><td><p>Per 1M tokens</p></td></tr><tr><td><p>Output</p></td><td><p>2.58</p></td><td><p>Per 1M tokens</p></td></tr></tbody></table>
    </Accordion>
  </Tab>

  <Tab title="US (Virginia)">
    Scope: Global

    <Accordion title="Input<=128k" defaultOpen>
      <table><thead><tr><th>Billing Item</th><th>Price (USD)</th><th>Unit</th></tr></thead><tbody><tr><td><p>Input</p></td><td><p>0.172</p></td><td><p>Per 1M tokens</p></td></tr><tr><td><p>Output</p></td><td><p>1.032</p></td><td><p>Per 1M tokens</p></td></tr></tbody></table>
    </Accordion>

    <Accordion title="128k<Input<=256k">
      <table><thead><tr><th>Billing Item</th><th>Price (USD)</th><th>Unit</th></tr></thead><tbody><tr><td><p>Input</p></td><td><p>0.43</p></td><td><p>Per 1M tokens</p></td></tr><tr><td><p>Output</p></td><td><p>2.58</p></td><td><p>Per 1M tokens</p></td></tr></tbody></table>
    </Accordion>
  </Tab>
</Tabs>

## Rate Limits <span id="h-0d94f68588" />

<Tabs>
  <Tab title="China (Beijing)">
    <table><thead><tr><th>Parameter</th><th>Value</th></tr></thead><tbody><tr><td><p>RPM (Requests Per Minute)</p></td><td><p>600</p></td></tr><tr><td><p>TPM (Tokens Per Minute)</p></td><td><p>1,000,000</p></td></tr></tbody></table>
  </Tab>

  <Tab title="Singapore">
    Scope: International

    <table><thead><tr><th>Parameter</th><th>Value</th></tr></thead><tbody><tr><td><p>RPM (Requests Per Minute)</p></td><td><p>600</p></td></tr><tr><td><p>TPM (Tokens Per Minute)</p></td><td><p>1,000,000</p></td></tr></tbody></table>
  </Tab>

  <Tab title="Germany (Frankfurt)">
    Scope: Global

    <table><thead><tr><th>Parameter</th><th>Value</th></tr></thead><tbody><tr><td><p>RPM (Requests Per Minute)</p></td><td><p>600</p></td></tr><tr><td><p>TPM (Tokens Per Minute)</p></td><td><p>1,000,000</p></td></tr></tbody></table>
  </Tab>

  <Tab title="US (Virginia)">
    Scope: Global

    <table><thead><tr><th>Parameter</th><th>Value</th></tr></thead><tbody><tr><td><p>RPM (Requests Per Minute)</p></td><td><p>600</p></td></tr><tr><td><p>TPM (Tokens Per Minute)</p></td><td><p>1,000,000</p></td></tr></tbody></table>
  </Tab>
</Tabs>