Qwen3.5-9B
An open-weights 9-billion parameter multimodal model from Alibaba featuring native vision support and an extended 262K context window designed for efficient local or edge deployment.
- 9 billion parameters
- Native vision support
- 262,144 token context window
- Open-weights availability
Identity
Qwen3.5-9B is a 9-billion parameter multimodal model developed by Alibaba. Released on March 5, 2026, it is an open-weights model designed for efficient local or edge deployment (model profile).
What it is
Qwen3.5-9B is a multimodal artificial intelligence model that features native vision support and an extended context window of 262,144 tokens (model profile). According to the provider announcement, the model is released under an open-weights license to facilitate accessibility and local deployment for developers and researchers.
Capabilities & benchmarks
As reported in the model profile, Qwen3.5-9B is a multimodal model from Alibaba released on March 5, 2026. It is built on a 9-billion parameter architecture and supports a context window of 262,144 tokens. Key features include native vision support and open-weights availability. No specific benchmark performance scores were provided in the initial release documentation.
Where it fits
Alibaba positions Qwen3.5-9B for use in local or edge computing environments where multimodal capabilities are required within a limited parameter budget (model profile). Its 9-billion parameter size is intended to balance performance with the resource efficiency necessary for deployment on consumer-grade or edge hardware.
Sources
- model profile: Alibaba technical specifications for Qwen3.5-9B.
- provider announcement: Hugging Face repository and release notes.