LongCat 2.0

Built for reasoning, coding, visual understanding, and agent tasks, with stronger long context, tool use, and scalable reliable output than GPT-5.3. Compared with Claude, Gemini, and Qwen flagship models, it is a strong general-purpose base for reliable automation and complex knowledge workflows.

Built for agents, coding, and long-context tasks, offering more complete multimodal understanding, a million-token context window, and long-horizon reasoning than MiMo V2. Compared with Chinese peers such as Qwen, GLM, and DeepSeek, its strengths are Xiaomi ecosystem fit and engineering automation scenarios.

The extended thinking variant of Anthropic Claude Sonnet 4.6, enabling chain-of-thought reasoning for complex problems. Excels in coding, codebase navigation, project management, document creation, and agentic tasks with text and image input. 1M context window, outperforms the standard version on tasks requiring deep reasoning, ideal for complex software engineering and multi-step planning.

Built for reasoning, coding, and agentic tool use, with stronger long-context, thinking-mode, and complex-task execution than DeepSeek V3.2. Compared with Chinese peers such as Qwen, GLM, and Kimi, it is especially competitive for math, programming, and logical reasoning tasks.