AI Rate Card

Qwen2 VL 72B Instruct · aihubmix

The model provider is the Sophnet platform. Qwen2-VL-72B-Instruct is the latest iteration in the Qwen2-VL series launched by Alibaba Cloud, representing nearly a year of innovative achievements. This model has 72 billion parameters and can understand images of various resolutions and aspect ratios. Additionally, it supports video understanding of over 20 minutes, enabling high-quality video question answering, dialogue, and content creation, along with complex reasoning and decision-making capabilities. - State-of-the-art image understanding: capable of processing images of various resolutions and aspect ratios, performing excellently across multiple visual understanding benchmarks. - Long video understanding: supports video comprehension exceeding 20 minutes, enabling high-quality video Q&A, dialogues, and content creation. - Agent operation capability: equipped with complex reasoning and decision-making abilities, it can integrate with devices such as phones and robots to perform automated operations based on visual environments and textual instructions. - Multilingual support: in addition to English and Chinese, it supports understanding text in images in multiple languages, including most European languages, Japanese, Korean, Arabic, Vietnamese, and more. - Supports a maximum context length of 128K tokens, offering powerful processing capabilities.

Modelo baseTodos los modelos de esta baseTodos los modelos del proveedoral proveedor

Entrada, $/1M $2.18

Salida, $/1M $6.54

Contexto —

Acepta imágenes, texto, vídeo

Última comprobación 04.11.2026 12:00:14 UTC

Fuente página del proveedor

Alertas de precio

Inicia sesión para seguir el precio

API

API compatible con OpenAI: los SDK oficiales de OpenAI funcionan con esta URL base. Sustituye YOUR_API_KEY por tu clave del proveedor.

URL base de la API
https://aihubmix.com/api/v1
Endpoint
https://aihubmix.com/api/v1/chat/completions
ID del modelo
Qwen2-VL-72B-Instruct
curl
curl https://aihubmix.com/api/v1/chat/completions \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model": "Qwen2-VL-72B-Instruct", "messages": [{"role": "user", "content": "Hello!"}], "max_tokens": 256}'
Python
import requests

r = requests.post(
    "https://aihubmix.com/api/v1/chat/completions",
    headers={"Authorization": "Bearer YOUR_API_KEY"},
    json={
      "model": "Qwen2-VL-72B-Instruct",
      "messages": [
        {
          "role": "user",
          "content": "Hello!"
        }
      ],
      "max_tokens": 256
    },
)
print(r.json())
JavaScript
const r = await fetch("https://aihubmix.com/api/v1/chat/completions", {
  method: "POST",
  headers: {Authorization: "Bearer YOUR_API_KEY", "Content-Type": "application/json"},
  body: JSON.stringify({
    "model": "Qwen2-VL-72B-Instruct",
    "messages": [
      {
        "role": "user",
        "content": "Hello!"
      }
    ],
    "max_tokens": 256
  }),
});
console.log(await r.json());
Solicitud (JSON)
{
  "model": "Qwen2-VL-72B-Instruct",
  "messages": [
    {
      "role": "user",
      "content": "Hello!"
    }
  ],
  "max_tokens": 256
}
Respuesta (JSON)
{
  "id": "chatcmpl-...",
  "object": "chat.completion",
  "model": "Qwen2-VL-72B-Instruct",
  "choices": [
    {
      "index": 0,
      "message": {
        "role": "assistant",
        "content": "Hi! How can I help?"
      },
      "finish_reason": "stop"
    }
  ],
  "usage": {
    "prompt_tokens": 9,
    "completion_tokens": 12,
    "total_tokens": 21
  }
}

La dirección se toma de la lista de modelos del proveedor; compruébala con su documentación.

Documentación de la API del proveedor

Source: AI Rate Card, https://airatecard.com/es/c/offer%3Aaihubmix%7CQwen2-VL-72B-Instruct, prices checked 2026-11-04; seller's page: https://aihubmix.com

Datos técnicos

ID: offer:aihubmix|Qwen2-VL-72B-Instruct