The Qwen3.5 series 397B-A17B native vision-language model is based on a hybrid architecture design that integrates linear attention mechanisms with sparse Mixture-of-Experts (MoE), achieving higher inference efficiency. Across a variety of tasks—including language understanding, logical reasoning, code generation, agentic tasks, image understanding, video understanding, and graphical user interface (GUI) interaction—it demonstrates exceptional performance comparable to current top-tier frontier models. Possessing robust code generation and agentic capabilities, it exhibits strong generalization across various agent scenarios.
Use your MyRouter API key with an OpenAI-compatible base URL, then pick the example that matches your stack.
Direct HTTP request for quick testing.
curl https://api.myrouter.ai/openai/v1/chat/completions \
-H "Authorization: Bearer $MYROUTER_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "qwen/qwen3.5-397b-a17b",
"messages": [
{
"role": "user",
"content": "Hello from MyRouter"
}
]
}'