Qwen3.5 9B

Qwen3.5 9B is a 9-billion-parameter dense multimodal model developed by Alibaba as part of the Qwen family, designed to process text, image, and video inputs while generating text outputs. It operates with a 262K-token context window, positioning it in the mid-size open-weight category where larger context capacity matters for long-document understanding and extended conversational tasks. The model is distributed under the Apache 2.0 license and is publicly available on the Qwen Hugging Face repository (Qwen/Qwen3.5-9B), enabling commercial use and local deployment.

The checkpoint is explicitly listed as a reasoning-capable, multilingual model, with supported thinking modes including an extended thinking level alongside a default standard mode, making it suitable for step-by-step problem solving and multilingual applications. On serving platforms such as Microsoft Foundry, the model is deployed via the vLLM inference engine and exposed through an OpenAI-compatible chat completions API, supporting streaming and standard generation workflows. Practically, Qwen3.5 9B fits teams that need a compact, open-weight multimodal foundation model capable of handling image-grounded text tasks, reasoning workloads, and long-context scenarios without relying on a closed proprietary stack.