AI Rate Card

Qwen2 VL 7B Instruct · aihubmix

The model provider is the Sophnet platform. Qwen2-VL-7B-Instruct is the latest vision-language model launched by Alibaba Cloud and the newest member of the Qwen family. This model is proficient not only in recognizing common objects but also in analyzing text, charts, icons, and layouts within images. As a visual agent, it can reason and dynamically guide tool usage, supporting operations on computers and mobile phones. Additionally, it can understand long videos exceeding one hour and capture key events, accurately locate objects in images, and generate structured outputs for data such as invoices and tables, making it suitable for various scenarios including finance and business. - Vision understanding capability: not only recognizes common objects but also analyzes text, charts, icons, and layouts within images. - Agent capability: functions as a visual agent capable of reasoning and dynamically guiding tool usage, supporting operations on computers and mobile phones. - Long video understanding: can comprehend video content over one hour in length and accurately localize relevant video segments. - Visual localization: precisely locates objects within images by generating bounding boxes or points, providing stable JSON coordinate outputs. - Structured output: supports structured data output for invoices, tables, and other data, suitable for finance, business, and various other scenarios.

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

Entrada, $/1M $0.28

Salida, $/1M $0.70

Contexto —

Acepta imágenes, texto, vídeo

Última comprobación 04.11.2026 12:00:14 UTC

Fuente página del proveedor

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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-7B-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-7B-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-7B-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-7B-Instruct",
    "messages": [
      {
        "role": "user",
        "content": "Hello!"
      }
    ],
    "max_tokens": 256
  }),
});
console.log(await r.json());
Solicitud (JSON)
{
  "model": "Qwen2-VL-7B-Instruct",
  "messages": [
    {
      "role": "user",
      "content": "Hello!"
    }
  ],
  "max_tokens": 256
}
Respuesta (JSON)
{
  "id": "chatcmpl-...",
  "object": "chat.completion",
  "model": "Qwen2-VL-7B-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-7B-Instruct, prices checked 2026-11-04; seller's page: https://aihubmix.com

Datos técnicos

ID: offer:aihubmix|Qwen2-VL-7B-Instruct