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.
Entrée, $/1M $2.18
Sortie, $/1M $6.54
Contexte —
Accepte images, texte, vidéo
Dernière vérification 04.11.2026 12:00:14 UTC
Source page du fournisseur
Alertes de prix
API
API compatible OpenAI : les SDK officiels d'OpenAI fonctionnent avec cette URL de base. Remplacez YOUR_API_KEY par votre clé du fournisseur.
| URL de base de l'API | |
|---|---|
| Point de terminaison | |
| ID du modèle | |
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());Requête (JSON)
{
"model": "Qwen2-VL-72B-Instruct",
"messages": [
{
"role": "user",
"content": "Hello!"
}
],
"max_tokens": 256
}Réponse (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
}
}L'adresse provient de la liste de modèles du fournisseur ; vérifiez-la dans sa documentation.
Source: AI Rate Card, https://airatecard.com/fr/c/offer%3Aaihubmix%7CQwen2-VL-72B-Instruct, prices checked 2026-11-04; seller's page: https://aihubmix.com
Détails techniques
ID: offer:aihubmix|Qwen2-VL-72B-Instruct