Qwen3.5 represents a significant leap forward, integrating breakthroughs in multimodal learning, architectural efficiency, reinforcement learning scale, and global accessibility to empower developers and enterprises with unprecedented capability and efficiency.
Qwen3.5 represents a significant leap forward, integrating breakthroughs in multimodal learning, architectural efficiency, reinforcement learning scale, and global accessibility to empower developers and enterprises with unprecedented capability and efficiency.
import requests
url = "https://api.atlascloud.ai/v1/chat/completions"
headers = {
"Content-Type": "application/json",
"Authorization": "Bearer $ATLASCLOUD_API_KEY"
}
data = {
"model": "qwen/qwen3.5-35b-a3b",
"messages": [
{
"role": "user",
"content": "what is difference between http and https"
}
],
"max_tokens": 1024,
"temperature": 0.7,
"stream": True
}
response = requests.post(url, headers=headers, json=data)
print(response.json())