Question

Compared with GPT-4, how is Kimi?

Answer 1

Kimi AI in China Vs. GPT-4 in China:

Kimi:

- Context length: supports 2 million words of input.

- Multilingual ability: Chinese and English, better understanding of Chinese.

- Text processing: good at long document parsing and file content extraction.

- File parsing: supports PDF, Word, TXT and other formats.

- Real-time: limited networking function, relying on pre-training data.

- Multimodal ability: focus on text, no image/voice processing ability.

- Security: focus on safe conversation experience.

- Resource consumption: specific consumption is not clear, and response speed is affected by concurrency.

- Professional knowledge: lack of depth in specific fields.

- Application scenarios: academic research, legal contract analysis, long document processing.

- User interaction: the design focuses on information processing and user interaction.

GPT-4:

- Context length: 8K-32K token (about 64,000-256,000 words).

- Multilingual capability: supports 26 languages, with excellent performance in non-English languages.

- Text processing: accurate logical reasoning, stronger ability to handle complex problems.

- File parsing: dependent on plug-in extensions, weak native file processing capabilities.

- Real-time: plug-ins support real-time information acquisition, and data timeliness is high.

- Multimodal capability: supports image description, voice dialogue, and text-based images (DALL·E 3).

- Security: prohibited content responses are reduced by 82%, and security is significantly improved.

- Resource consumption: requires more computing resources, and the response speed may be slower.

- Professional knowledge: extensive knowledge coverage, deeper understanding of professional fields.

- Application scenarios: creative writing, technical Q&A, cross-language translation, etc.

- User interaction: focuses on text generation and understanding, and the interactive experience is more flexible.

Answer 2

In terms of long text, Kimi supports 200,000 Chinese characters, which is significantly better than GPT-4 (only 32,000 characters). Kimi has obvious advantages in efficient reading, professional paper interpretation, translation, data collation and summary, and it also grasps the details accurately.

In addition, in terms of understanding and processing Chinese, Kimi understands domestic users better than GPT, Claude, and Gemini.

In terms of reasoning, logic, and productization, Kimi is not as good as GPT-4, and is at the basic stage and needs to be improved.

From a practical point of view, Kimi can basically replace GPT, without the need for scientific Internet access or payment.

Answer 3

Comparative analysis of key points:

Long text processing: Kimi supports 2 million words of input, far exceeding the 32K token limit of GPT-4, and is suitable for processing long documents such as academic papers and legal contracts, while GPT-4 has more advantages in short text logical reasoning.

Multilingual and real-time: GPT-4 supports 26 languages, and can obtain the latest information in real time through plug-ins, which is suitable for global scenarios; Kimi has better Chinese comprehension, but its real-time performance depends on pre-training data and has weak timeliness.

Multimodal capabilities: GPT-4 integrates DALL·E 3, which can generate images and process voice conversations, while Kimi only supports text interaction and has limited functional scenarios.

Professional knowledge and security: GPT-4 has a wider knowledge coverage and significantly improved security; Kimi still needs to strengthen its depth in specific fields (such as law).

Summary:

Kimi is suitable for users who need to process long texts, Chinese conversations and document analysis, such as academic researchers and legal practitioners;

GPT-4 performs better in multilingual support, real-time, multimodal interaction and complex problem processing, and is suitable for creative workers, technology developers and global enterprises.

Users can choose according to their specific needs: if you need to deeply analyze long documents, Kimi is a better choice; if you need multilingual support and real-time information, GPT-4 has more advantages.

Answer 4

Kimi AI and GPT-4 have significant differences in technical architecture, functional focus and application scenarios. The following is a brief comparison:

1. Technical architecture and model capabilities

- Kimi AI: Developed by a domestic team, built on a large language model, supports ultra-long text processing (200,000 Chinese characters per input), is good at document parsing, web content extraction and real-time search, but is relatively limited in general knowledge coverage and multimodal processing.

- GPT-4: Developed by OpenAI, it uses more advanced algorithms and training data, supports text + image multimodal input, has stronger reasoning ability and contextual understanding, and performs better in professional fields (such as law and medicine).

2. Functional focus

- Kimi AI:

- Advantages: ultra-long text processing, file parsing (PDF/webpage), real-time search, multilingual dialogue (Chinese and English).

- Limitations: low frequency of knowledge update, insufficient depth in professional fields, and weak adaptability to complex tasks.

- GPT-4:

- Advantages: extensive knowledge coverage, more accurate text generation, stronger logical reasoning, support for plug-in extensions (such as networking, data analysis).

- Limitations: Depends on plug-ins to achieve networking functions, and the native model does not directly support real-time data access.

3. Application scenarios

- Kimi AI: Suitable for scenarios that require processing long documents, quickly obtaining information summaries, and basic text creation, such as academic research, report compilation, and daily office work.

- GPT-4: Suitable for scenarios that require in-depth analysis, complex reasoning, and multimodal interaction, such as programming assistance, professional consulting, and creative content generation.

4. User experience

- Kimi AI: Free to use, simple to operate, supports multiple platforms (web, mobile), but response speed and stability may be affected by concurrency.

- GPT-4: Used through API or subscription services, it has more powerful functions but requires payment, rich plug-in ecology, and smoother user experience.

Summary

- Kimi AI has unique advantages in processing ultra-long texts and real-time search, and is suitable for domestic users to quickly obtain and process information, but it lags behind GPT-4 in processing deep and complex tasks in professional fields.

- With more advanced algorithms and broader knowledge coverage, GPT-4 performs better in versatility and multimodal capabilities, and is suitable for users who need high-precision, multi-scenario applications.

Users can choose according to their specific needs: If you need to process long documents or quickly obtain information, Kimi AI is a cost-effective choice; if you need deep reasoning or professional field support, GPT-4 is more suitable.

Answer 5

Kimi AI has become a practical tool for academic researchers to read literature efficiently, Internet practitioners to quickly collect information, programmers to assist in programming, and content creators to inspire inspiration, thanks to its core capabilities such as supporting ultra-long text processing (up to 2 million words), multi-language dialogue, and in-depth analysis of files and web pages (PDF/Word/Excel and other formats). Its deep reasoning function can break down complex problems and answer them step by step. The transparent thinking chain and search and citation traceability mechanism further enhance the credibility of the results. At the same time, voice interaction and simple operation further optimize the user experience, making it an intelligent assistant for cross-domain users to process long documents, obtain accurate information, and improve creation efficiency.