The differences between Kimi, DeepSeek and GPT are as follows:
1. Positioning and core functions
- Kimi: Developed by Dark Side of the Moon, it focuses on long text processing, supports 2 million words of contextual input, is good at file parsing (such as PDF, Word) and real-time search, provides information integration and interactive answers, and is suitable for academic research, legal contract analysis and other scenarios.
- DeepSeek: It is good at mathematical reasoning, code generation and complex task solving, supports multi-language processing, and is suitable for efficiency tool scenarios such as programming assistance, data analysis, and knowledge distillation.
- GPT (taking GPT-4o as an example): Developed by OpenAI, it is positioned as a general AI, with natural language dialogue as the core, providing text creation, knowledge question and answer, logical reasoning and other functions, and is good at contextual understanding and creative writing.
2. Technical features
- Kimi: Based on a deep language model, combined with file parsing and search capabilities, it focuses on the comprehensiveness and accuracy of information processing.
- DeepSeek: It performs well in mathematics, logical reasoning and coding tasks, supports multi-modal tasks (such as image recognition), is cost-effective, and has low computing power costs.
- GPT: Relying on large-scale pre-trained models, achieving efficient language generation through the Transformer architecture, and supporting plug-in extensions (such as online search and data analysis).
3. User experience and scenario adaptation
- Kimi: The interface is simple and intuitive, supports multi-file processing, and is suitable for users who need deep information integration.
- DeepSeek: The interface is basic, providing web and mobile access, suitable for technical experts to handle complex tasks.
- GPT: Comprehensive functions and rich ecology, but the local knowledge base in the Chinese context is relatively weak.