Qwen3-VL-235B-A22B-Instruct

Qwen3-Open-Source

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Visual Understanding

Overview

Visual Understanding

The Qwen3 series VL models has been comprehensively upgraded in areas such as visual coding and spatial perception. Its visual perception and recognition capabilities have significantly improved, supporting the understanding of ultra-long videos, and its OCR functionality has undergone a major enhancement.

Input

TextImageVideo

Output

Text

Features

Prefix Completion

Function Calling

Cache

Structured Outputs

Batches

Web Search

Pricing

Input
$0.4Per 1M tokens
Output
$1.6Per 1M tokens

Context

131.07K

Max Input

129.02K

Max Output

32.76K

Rate Limits

RPMRequests Per Minute
60
TPMTokens Per Minute
100K

API Reference

Get API Key

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import os
import dashscope
dashscope.base_http_api_url = 'https://[workspace-id].ap-southeast-1.maas.aliyuncs.com/api/v1'
messages = [
{
    "role": "user",
    "content": [
    {"image": "https://help-static-aliyun-doc.aliyuncs.com/file-manage-files/zh-CN/20241108/ctdzex/biaozhun.jpg"},
    {"text": "Output the text in the image only."}]
}]
response = dashscope.MultiModalConversation.call(
    #If the environment variable is not set, replace it with your Model Studio API key:  api_key ="sk-xxx"
    api_key = os.getenv('DASHSCOPE_API_KEY'),
    model = 'qwen3-vl-235b-a22b-instruct',
    messages = messages
)
print(response.output.choices[0].message.content[0]["text"])

import os
import dashscope
dashscope.base_http_api_url = 'https://[workspace-id].ap-southeast-1.maas.aliyuncs.com/api/v1'
messages = [
{
    "role": "user",
    "content": [
    {"image": "https://help-static-aliyun-doc.aliyuncs.com/file-manage-files/zh-CN/20241108/ctdzex/biaozhun.jpg"},
    {"text": "Output the text in the image only."}]
}]
response = dashscope.MultiModalConversation.call(
    #If the environment variable is not set, replace it with your Model Studio API key:  api_key ="sk-xxx"
    api_key = os.getenv('DASHSCOPE_API_KEY'),
    model = 'qwen3-vl-235b-a22b-instruct',
    messages = messages
)
print(response.output.choices[0].message.content[0]["text"])