The 2025 AI Large Model Landscape and Practical Applications of DeepSeek

At the beginning of 2025, the global AI industry has formed a highly competitive multi-player landscape. Chinese AI models focus more on Chinese-language scenarios, localized services, and vertical industry adaptation, while international AI models leverage their first-mover advantages in ecosystem building and multimodal technologies.

Below is a detailed analysis of major AI models and their respective strengths and weaknesses.

I. Leading AI Models in China

1. Moonshot AI Kimi

Strengths:

• Industry-leading long-context processing capability, supporting over 200,000 characters with minimal context loss
• The K2 Thinking model significantly outperforms human averages in the BrowseComp benchmark
• Inference speed increased by 6× while KV cache requirements are reduced by 75%
• Strong integration of web search and responses, often providing reliable source citations

Weaknesses:

• Its 128K context window lags behind Qwen’s million-token capacity
• Limited optimization for complex office scenarios such as advanced Excel computations

2. Baidu ERNIE Bot (X1 / 4.5)

Strengths:

• Massive user base with over 430 million users
• Fully free since April 2025, significantly lowering the barrier to entry
• Excellent performance in Chinese search-based Q&A and real-time information retrieval
• Integrated text-to-image generation with strong stability and maturity

Weaknesses:

• Long-text processing and code generation are surpassed by top-tier competitors
• Accuracy in complex reasoning tasks still has room for improvement

3. ByteDance Doubao (Seed-Code)

Strengths:

• Highly cost-effective, with usage costs approximately 62.7% lower than the industry average
• The first domestic programming model to support visual understanding, enabling image-to-code workflows
• Strong video generation capabilities, supporting 1080P multi-shot storytelling
• Natural and low-latency voice interaction, well-suited for mobile scenarios

Weaknesses:

• Core model parameters have not been fully disclosed
• Performance in ultra-large-scale and highly complex reasoning tasks remains uncertain

4. DeepSeek

Strengths:

• Adopts a Mixture-of-Experts (MoE) architecture with FP8 mixed-precision training, significantly reducing compute and memory costs
• Deep optimization for Chinese grammar, idioms, and domain-specific terminology
• Outstanding performance in vertical domains such as finance and healthcare
• Completely free usage model, offering a strong cost advantage

Weaknesses:

• Noticeably behind leading competitors in multimodal capabilities such as image and video processing

II. Leading International AI Models

1. ChatGPT

Strengths:

• Strong overall capabilities across a wide range of use cases
• Supports analysis of multiple file formats, including PDFs, images, and spreadsheets
• Mature ecosystem with extensive third-party integrations and an active developer community

Weaknesses:

• Advanced features require a Plus subscription (USD 20/month)
• Chinese language understanding is slightly weaker than that of leading domestic models
• Occasional hallucinations in complex code generation tasks

2. Claude

Strengths:

• Highly reliable code generation with clean structure and clear logic
• Conversational style feels collaborative rather than purely output-driven
• The free tier is sufficient for most basic use cases

Weaknesses:

• Slower iteration in long-context and multimodal capabilities compared to competitors
• Fewer entertainment-oriented features, with a stronger focus on professional and developer use

3. Gemini

Strengths:

• Context window exceeding 1 million tokens, ideal for processing long academic documents
• Unique audio overview feature that converts documents into podcast-style summaries
• Consistently ranks at the top of multiple LLM benchmark leaderboards

Weaknesses:

• High subscription cost, with the Ultra plan priced at USD 124.99 per month
• Some features are tightly coupled with the Google ecosystem
• Strict content moderation may limit creative output

III. Core Capability Comparison

• Chinese language understanding and generation: domestic models generally outperform international ones
• Logical reasoning and complex problem-solving: GPT-4, Claude, and DeepSeek lead the field
• Cost and accessibility: DeepSeek’s free strategy offers a clear advantage

IV. DeepSeek’s “Mystical Entry Point” and Professional Applications

Through lightweight applications such as its popular “fortune-telling game,” DeepSeek lowers the cognitive barrier for users, allowing the general public to experience AI reasoning and pattern recognition in an intuitive and engaging way.

1. Applications in Healthcare

• Building structured symptom-to-disease association graphs
• Supporting drug interaction and medication safety checks

2. Applications in the Legal Domain

In scenarios such as labor arbitration disputes, DeepSeek can assist users by clarifying legal grounds, calculating potential compensation, organizing evidence checklists, and anticipating risks, providing practical guidance for non-professionals.

V. Conclusion

Looking ahead, as technology continues to evolve, AI assistants will become increasingly personalized, accurate, and multimodal. The development of domestic AI models such as DeepSeek reflects a “people-centered technology” philosophy, transforming advanced capabilities into accessible tools for everyday users.

AI will not replace professionals, but it will reshape how knowledge is accessed and services are delivered, serving as a vital bridge between expert knowledge and public needs.

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Original article: https://blog.csdn.net/2501_94576972/article/details/155754416