qwen3.5-flash · Qwen
The Qwen3.5 native vision-language Flash series models are designed with a hybrid architecture that integrates linear attention mechanisms and sparse mixture-of-experts models, achieving higher inference efficiency. Compared with the 3 series, the models deliver leapfrog improvements in both pure-text and multimodal performance; they respond quickly and combine inference speed with high performance.
The Qwen3.5 native vision-language Flash series models are designed with a hybrid architecture that integrates linear attention mechanisms and sparse mixture-of-experts models, achieving higher inference efficiency. Compared with the 3 series, the models deliver leapfrog improvements in both pure-text and multimodal performance; they respond quickly and combine inference speed with high performance.
Qwen3.5 Flash has a 991,000 token context window.
On AIHubMix, Qwen3.5 Flash costs $0.028 per million input tokens and $0.282 per million output tokens. Cached input reads are billed at $0.0028 per million tokens.
Qwen3.5 Flash accepts text, image and video input.
Qwen3.5 Flash supports tool calling, function calling, structured outputs, web search, long context and thinking. Per-protocol parameter support is listed in the capability table on this page.
Qwen3.5 Flash 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-flash — no other code changes needed.
Qwen3.5 Flash 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 Flash via the AIHubMix unified API — one interface for every major LLM.