Youtu-VL is a 4B-parameter Vision-Language Model that excels in both vision-centric and general multimodal tasks without needing task-specific modules. It uses a unique autoregressive supervision method to enhance visual understanding and preserve detailed information. The model supports various applications, from image classification to visual question answering.

Kimi-VL is an open-source Mixture-of-Experts vision-language model that excels in multimodal reasoning and long-context understanding with only 2.8B activated parameters. It demonstrates superior performance in various tasks such as multi-turn interactions, video comprehension, and mathematical reasoning, competing effectively with larger models while maintaining efficiency. The latest variant, Kimi-VL-A3B-Thinking-2506, enhances reasoning and visual perception capabilities, achieving state-of-the-art results in several benchmarks.