Qwen3.5 Omni

Qwen is a family of AI models developed with the aim of achieving Artificial General Intelligence (AGI). The Qwen team focuses on building generalist models, encompassing both large language models (LLMs) and large multimodal models. The Qwen series includes foundational language models like Qwen3, expert models such as Qwen-Coder and Qwen-Math, and multimodal models like Qwen-VL and Qwen-Audio. The platform also features specialized applications built upon these foundations, such as Qwen3Guard for AI safety and Qwen-MT for multilingual translation. The Qwen models leverage advanced techniques, including the Group Sequence Policy Optimization (GSPO) algorithm for stable and robust reinforcement learning, which enhances their reasoning and problem-solving capabilities. The Qwen ecosystem emphasizes open-source development, making its resources available to a broad community of developers and researchers. While 'Qwen3.5 Omni' is not explicitly detailed in the provided context, it is understood to be part of this advanced Qwen LLM family, building upon the capabilities of models like Qwen3. Key offerings include state-of-the-art performance on major safety benchmarks with Qwen3Guard, comprehensive multilingual support for 92 languages with Qwen-MT, and advanced image capabilities with Qwen-Image and Qwen-Image-Edit, demonstrating superior text rendering and precise editing. The Qwen project provides access to its models via GitHub, Hugging Face, ModelScope, and an API through Alibaba Cloud/Aliyun.