Overview
Qwen-VL-Max is a large-scale visual language model of the Qwen series. Compared to the Plus version, it further enhances visual reasoning capabilities and instruction-following abilities, offering higher levels of visual perception and cognition. It delivers optimal performance on more complex tasks.
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 docsFunction Calling
Use function calling to connect large language models with external tools and systems.View docsCache
Context Cache stores shared prefixes for long-context requests to reduce repeated computation, improve latency, and lower cost.View docsStructured Outputs
Structured Outputs help ensure the model returns a JSON string in the expected format.View docsPricing
- Input$0.8Per 1M tokens
- Output$3.2Per 1M tokens
- Input(Implicit Cache)$0.16Per 1M tokens
- Input(Batch File)$0.4Per 1M tokens
- Output(Batch File)$1.6Per 1M tokens
Rate Limits & Context
- Max Input129K
- Max Output32K
- Context131K
- TPMTokens Per Minute1M
- RPMRequests Per Minute1K
API Reference
Call APICopy success!
1234567891011121314151617181920212223242526
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="qwen-vl-max",
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)