Qwen/Qwen2.5-VL-72B-Instruct
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Qwen/Qwen2.5-VL-72B-Instruct

Qwen
Qwen2.5-VL is a visual language model from the Qwen2.5 series, equipped with strong visual understanding and reasoning capabilities. It can recognize objects, analyze text and charts, understand key events in long videos, and accurately locate targets within images. The model supports structured output, making it suitable for data such as invoices and forms, and performs excellently in multiple benchmark tests.

Pricing

  • Input Tokens: $0.500 /M tokens
  • Output Tokens: $0.500 /M tokens
  • Cache Read: $0.000 /M tokens

Input Modalities

  • Text
  • Vision
  • Video

Output Modalities

  • Text

Try this model

Python
import os
from openai import OpenAI

client = OpenAI(
    api_key=os.environ["AIHUBMIX_API_KEY"],
    base_url="https://aihubmix.com/v1",
)

response = client.chat.completions.create(
    model="Qwen/Qwen2.5-VL-72B-Instruct",
    messages=[
      {
        "role": "user",
        "content": "Hello, how are you?"
      }
    ],
    max_tokens=1024,
    stream=False,
)

print(response.choices[0].message.content)

Frequently asked questions

What is Qwen/Qwen2.5-VL-72B-Instruct?

Qwen2.5-VL is a visual language model from the Qwen2.5 series, equipped with strong visual understanding and reasoning capabilities. It can recognize objects, analyze text and charts, understand key events in long videos, and accurately locate targets within images. The model supports structured output, making it suitable for data such as invoices and forms, and performs excellently in multiple benchmark tests.