by Qwen
The Qwen 3.5 native vision-language Plus model is built on a hybrid architecture that integrates linear attention mechanisms with sparse mixture-of-experts models, achieving higher inference efficiency. In multiple task evaluations, the 3.5 series has demonstrated outstanding performance comparable to current leading frontier models, with leapfrog improvements over the 3 series in both pure-text and multimodal capabilities. This model version is functionally equivalent to the snapshot model qwen3.5-plus-2026-02-15.
The Qwen 3.5 native vision-language Plus model is built on a hybrid architecture that integrates linear attention mechanisms with sparse mixture-of-experts models, achieving higher inference efficiency. In multiple task evaluations, the 3.5 series has demonstrated outstanding performance comparable to current leading frontier models, with leapfrog improvements over the 3 series in both pure-text and multimodal capabilities. This model version is functionally equivalent to the snapshot model qwen3.5-plus-2026-02-15.
qwen3.5-397b-a17b has a 991,000 token context window.
On AIHubMix, qwen3.5-397b-a17b costs $0.16 per million input tokens and $0.99 per million output tokens.
qwen3.5-397b-a17b accepts text, image and video input.
qwen3.5-397b-a17b supports tool calling, function calling, structured outputs, web, long context and thinking. Per-protocol parameter support is listed in the capability table on this page.
qwen3.5-397b-a17b is available through the AIHubMix unified API. The API is OpenAI-compatible: point your OpenAI SDK at https://aihubmix.com/v1, use your AIHubMix API key, and set the model name to qwen3.5-397b-a17b — no other code changes needed.
qwen3.5-397b-a17b is developed by Qwen. AIHubMix aggregates it alongside models from other providers behind one API and one bill.
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Use qwen3.5-397b-a17b via the AIHubMix unified API — one interface for every major LLM.