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Qwen3.5 122B A10B
Qwen3.5 122B A10B is a native vision-language model built on a hybrid architecture that integrates a linear attention mechanism with a sparse mixture-of-experts model, achieving higher inference.
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Qwen3.5 122B A10B is a native vision-language model built on a hybrid architecture that integrates a linear attention mechanism with a sparse mixture-of-experts model, achieving higher inference.
Qwen/Qwen3.5-122B-A10B
curl --request POST \
--url https://api.gmi-serving.com/v1/chat/completions \
-H 'Content-Type: application/json' \
-H 'Authorization: Bearer *************' \
--data '{
"model": "Qwen/Qwen3.5-122B-A10B",
"messages": [
{"role": "system", "content": "You are a helpful AI assistant"},
{"role": "user", "content": "List 3 countries and their capitals."}
],
"temperature": 0,
"max_completion_tokens": 500
}'
import requests
import json
url = "https://api.gmi-serving.com/v1/chat/completions"
headers = {
"Content-Type": "application/json",
"Authorization": "Bearer *************"
}
payload = {
"model": "Qwen/Qwen3.5-122B-A10B",
"messages": [
{"role": "system", "content": "You are a helpful AI assistant"},
{"role": "user", "content": "List 3 countries and their capitals."}
],
"temperature": 0,
"max_completion_tokens": 500
}
response = requests.post(url, headers=headers, json=payload)
print(json.dumps(response.json(), indent=2))