Model Marketplace

Qwen3-Open-Source

Will be retired on October 10, 2026View announcement
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Overview

The Instruct version of the second-largest MoE model in the Qwen3-VL series offers rapid response speeds and supports extremely long contexts like lengthy videos and documents. It includes comprehensively upgraded image/video understanding, spatial awareness, and object recognition capabilities, as well as 2D/3D visual localization, enabling it to handle intricate real-world challenges.

Input

TextImageVideo

Output

Text

Features

Prefix Completion

Enable Partial Mode when calling the Qwen API to make the model continue strictly from your provided prefix text.View docs

Function Calling

Use function calling to connect large language models with external tools and systems.View docs

Cache

Context Cache stores shared prefixes for long-context requests to reduce repeated computation, improve latency, and lower cost.View docs

Structured Outputs

Structured Outputs help ensure the model returns a JSON string in the expected format.View docs

Batches

Asynchronously process requests in batches to reduce costs.View docs

Web Search

Enable web search so the model can answer with real-time retrieved data.View docs

Fine-tuning

Train models on sample data to better adapt them to specific tasks.View docs

Pricing

  • Input
    $0.2Per 1M tokens
  • Output
    $0.8Per 1M tokens

Rate Limits & Context

  • Max Input
    129K
  • Max Output
    32K
  • Context
    131K
  • TPMTokens Per Minute
    100K
  • RPMRequests Per Minute
    60

API Reference

Call API
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import os
from openai import OpenAI

client = OpenAI(
    api_key=os.getenv("DASHSCOPE_API_KEY"),
    base_url="https://maas.qwencloudapi.com/compatible-mode/v1",
)

completion = client.chat.completions.create(
    model="qwen3-vl-30b-a3b-instruct",
    messages=[
        {
            "role": "user",
            "content": [
                {
                    "type": "image_url",
                    "image_url": {
                        "url": "https://help-static-aliyun-doc.aliyuncs.com/file-manage-files/zh-CN/20241108/ctdzex/biaozhun.jpg"
                    },
                },
                {"type": "text", "text": "Output the text in the image only."},
            ],
        },
    ],
)
print(completion.choices[0].message.content)