Qwen 3.8 27B Flex, ready to try.
Ask a question, see the answer arrive token by token, and keep the full OpenAI-compatible request within reach when you want to go deeper.
Qwen 3.8 27B Flex demo
Try the model directly in this chat.
QDivZero chat
Qwen 3.8 27B Flex
Processed 0 / 128k tok
Request JSONmodel, messages, stream and moreEdit
VS Code / Copilot
Bring QDivZero into Copilot.
Add the endpoint as a custom model in VS Code and use QDivZero from the Chat view. No API key is required for this demo.
- 01
Open Manage Language Models
In VS Code, open the Chat model picker and choose Add Models, then Custom Endpoint.
- 02
Choose Chat Completions
Use
https://qdiv0.com/api/qdiv0/v1and leave the API key asnot-needed. - 03
Paste the model definition
Save the generated
chatLanguageModels.jsonand select the model in Chat.
chatLanguageModels.json
[
{
"name": "QDivZero",
"vendor": "customendpoint",
"apiKey": "not-needed",
"apiType": "chat-completions",
"models": [
{
"id": "public:qwen/qwen-3.8-27b-flex",
"name": "Qwen 3.8 27B Flex",
"url": "https://qdiv0.com/api/qdiv0/v1",
"toolCalling": true,
"thinking": true,
"streaming": true
}
]
}
]Keep the API key in VS Code's secret storage. Tool calling requires a model and deployment that expose tool support.