wan2.7-videoedit · Qwen
Wanxiang 2.7 — video editing: edit videos using natural-language commands, supporting local or global edits; can use reference images to replace video elements; supports replicating video actions, special effects, camera movements, and other dynamic processes.
Wanxiang 2.7 — video editing: edit videos using natural-language commands, supporting local or global edits; can use reference images to replace video elements; supports replicating video actions, special effects, camera movements, and other dynamic processes.
On AIHubMix, Wan2.7 Videoedit costs $2 per million input tokens.
Wan2.7 Videoedit accepts text, image and video input.
Wan2.7 Videoedit 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 wan2.7-videoedit — no other code changes needed.
Wan2.7 Videoedit is developed by Qwen. AIHubMix aggregates it alongside models from other providers behind one API and one bill.
Qwen3.8 Omni Flash is Alibaba Cloud Qwen's next-generation native multimodal model…
Alibaba Cloud has launched the decision model decision-model-preview. This structured…
Qwen3.8-27b is an Alibaba-released dense vision-language model with open-source weights…
Qwen3.8-Max-0902 (also known as qwen3.8-max-2026-09-02) is a snapshot version of Alibaba…
Qwen3.8 Flash is Alibaba Cloud Qwen’s flagship native vision-language model for coding…
Wan 3.0 (Tongyi Wanxiang 3.0) is an integrated video generation and editing model…
Use Wan2.7 Videoedit via the AIHubMix unified API — one interface for every major LLM.