Overview
Qwen-VL-Plus is the enhanced version of the large visual language model. It significantly improves detail recognition and text recognition capabilities, supporting images with resolutions exceeding one million pixels and any aspect ratio specifications. The model delivers exceptional performance across a wide range of visual 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$0.21Per 1M tokens
- Output$0.63Per 1M tokens
- Input(Implicit Cache)$0.042Per 1M tokens
- Input(Batch File)$0.105Per 1M tokens
- Output(Batch File)$0.315Per 1M tokens
Rate Limits & Context
- Max Input129K
- Max Output8K
- Context131K
- TPMTokens Per Minute1M
- RPMRequests Per Minute1K
API Reference
Call APICopy success!
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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="qwen-vl-plus",
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)