Qwen3 VL 235B A22B Thinking

This reasoning-focused member of the Qwen3-VL family uses a Mixture-of-Experts design, with distribution listings reporting roughly 236B parameters. It is intended for work that combines written instructions with visual information, including visual question answering, GUI-oriented agent tasks, and code generation from screenshots or video. Unsloth also provides a chat-template-fixed GGUF distribution for llama.cpp, using its Dynamic 2.0 quantization path.

The model’s practical strengths are deeper visual perception, multimodal reasoning, spatial and grounding tasks, and long-form content analysis. Its distribution materials describe improved text understanding, stronger spatial perception, expanded context handling, and the ability to process books or hours-long video. The Thinking edition is a good fit for applications that can benefit from explicit reasoning and tool interaction, while the Apache 2.0 licensing supports open experimentation and deployment.