What is kimi-thinking-preview
kimi-thinking-preview is a multimodal thinking model launched by Moonshot AI. It has deep reasoning capabilities and excels at solving complex problems, such as coding, math, and work challenges. The model displays its reasoning process based on the reasoning_content field, helping users understand the logic behind its answers. kimi-thinking-preview supports multi-turn conversations. It is currently in preview and does not yet support features such as tool calling, web search, JSON mode, and context caching.
Main features of kimi-thinking-preview
- Deep reasoning: Performs multi-step logical analysis and reasoning on complex problems.
- Multimodal reasoning: Supports processing multiple types of information input, including text and code, and performs reasoning by combining multimodal data.
- Reasoning process display: The model outputs its reasoning process, helping users understand the thinking logic.
- Multi-turn conversation support: Conducts multi-turn interactions, and the model generates coherent responses based on contextual information. The reasoning process does not need to be placed into the context.
- Flexible API invocation: Supports invocation via HTTP API or OpenAI SDK, making it convenient for developers to integrate into various application scenarios.
Technical principles of kimi-thinking-preview
- Transformer architecture: The model is based on the Transformer architecture. This architecture performs excellently in the field of natural language processing and can capture long-distance dependencies, making it suitable for handling complex reasoning tasks.
- Multimodal fusion: The model uses multimodal fusion technology to integrate information from multiple modalities such as text and code, enabling a more comprehensive understanding of problems when generating answers.
- Deep reasoning mechanism: A deep reasoning mechanism is designed inside the model to decompose and analyze problems step by step, deriving answers based on multi-step logical deduction.
- Reasoning process modeling: Based on the reasoning_content field, the reasoning process is output. While generating answers, the model models and explains the reasoning path.
Project address of kimi-thinking-preview
- Project official website：https://platform.moonshot.cn/docs/guide/use-kimi-thinking-preview-model
Application scenarios of kimi-thinking-preview
- Complex problem solving: Helps solve complex problems in mathematics, physics, and other fields, providing step-by-step reasoning processes.
- Code optimization: Analyzes code issues and provides debugging suggestions and optimization solutions.
- Work decision support: Assists with work such as project management and business analysis, providing solutions.
- Educational assistance: Helps students understand complex knowledge points and displays detailed reasoning processes.
- Technical R&D: Analyzes technical challenges and provides innovative ideas and solutions.