qwen3.5-122b-a10b · 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 122B A10B has a 262,144 token context window. It supports up to 65,536 output tokens.
On AIHubMix, Qwen3.5 122B A10B costs $0.113 per million input tokens and $0.901 per million output tokens.
Qwen3.5 122B A10B accepts text, image and video input.
Qwen3.5 122B A10B 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 122B A10B 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 qwen3.5-122b-a10b — no other code changes needed.
Qwen3.5 122B A10B 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 122B A10B via the AIHubMix unified API — one interface for every major LLM.