In an era when artificial intelligence (AI) technology is taking leaps and bounds. We have seen the development of a variety of AI models that meet different application needs. Today, we will take a look at six interesting AI models, including DeepSeek, GPT-4.5 from OpenAI, Qwen from Alibaba Cloud, Claude 3.7 from Anthropic, Gemini 2.0 from Google, and LLaMA 3.3 from Meta.
DeepSeek: An AI Innovation from China Challenging the Giants
DeepSeek is an AI startup company from China founded in May 2023 by Liang Wenfeng.
The company has developed high-performance, low-cost AI models, challenging market leaders such as OpenAI, Google, and Meta.
Technology: DeepSeek spend Mixture of Experts (MoE) Technique This is a technique used to train AI models, using several sub-models called "experts" so that they can effectively handle different tasks. It selects the most suitable expert for each situation, which reduces computational costs and speeds up processing. The Multi-Head Latent Attention technique was also used to develop the model.
Key Models:
- DeepSeek-V3: A 671 billion parameter model that uses the MoE architecture to reduce computational costs, based on the results of the MMLU (Massive Multitask Language Understanding) benchmark, it is found that DeepSeek-V3 has an average score of 80.5, which is higher than GPT-3.5 (70.1) but also lower than GPT-4 (86.4).
Examples of applications:
- Develop applications for automated customer service that can help quickly respond to user questions or issues. By presenting relevant information and understanding the context of the conversation.
- It is used to analyze financial data to detect anomalies and predict market trends.
Advantage:
- High efficiency, low cost
Weakness:
- The accuracy of the data is still a question of where the data comes from, and it cannot answer sensitive questions about the Chinese government (except for the open-source version).
OpenAI's GPT: A Leader in Natural Language Processing (NLP)
GPT-4.5 is the latest model from OpenAI, released on February 27, 2025, with the following key developments:
Size and Performance:
- It is OpenAI's largest and most powerful model to date. It has a number of more than 1.8 trillion parameters.
- Ability:
- Supports real-time search (via Bing Search API),
- Uploading images and files (up to 100MB in size)
- Good at writing, writing articles, writing novels. various
- Programming (supports more than 50 programming languages)
Examples of applications:
- Create high-quality and engaging content such as articles or social media posts.
- Assist developers in programming by offering appropriate guidelines or sample code, as well as helping to correct errors.
- Create chatbots that can interact with users naturally and provide useful information.
Advantage:
- Excellent contextual understanding
- Multi-language support
Weakness:
- High price
Qwen from Alibaba Cloud: Flexible AI Solutions for Businesses
Qwen is a series of AI models developed by Alibaba Cloud, designed to meet a wide range of needs in natural language processing and multimodal tasks.
Models:
- Qwen2.5
- Qwen 2.5-Max
- Qwen2.5-Coder
- Qwen2.5-Math
Ability:
- Supports multilingual operation and multimodal processing (image, audio, text).
Examples of applications:
- Create an automatic translation system that can accurately translate multiple languages.
- Create a customer Q&A system that can provide information and resolve issues 24 hours a day.
- It is used to analyze sales data to identify trends and business opportunities.
Advantage:
- Support multi-language and multimodal processing, competitive price.
Weakness:
- The documentation may not be as detailed as it should be.
Claude from Anthropic: AI that focuses on safety and ethics
Claude 3.7 Sonnet is the latest AI model from Anthropic with the following key developments:
Hybrid Reasoning Model:
- It is the first Anthropic model that uses hybrid reasoning. It can provide both quick answers and detailed step-by-step analysis.
Safety:
- Recognized as the safest model tested by Anthropic, the Constitutional AI technique is used, which is an AI development concept that focuses on ensuring that the model adheres to ethical principles. To avoid creating harmful or inappropriate content. By using the basis of ethical principles in the learning phase of the model.
Examples of applications:
- Develop applications that require detailed reasoning, such as teaching or helping to analyze complex problems.
- It is used to create a system to review inappropriate content on online platforms.
Advantage:
- High security, transparent reasoning.
Weakness:
- Limitations on Thai language support
Gemini from Google: A Powerful Multimodal AI Model
Gemini 2.0 is the latest AI model from Google designed for the "agentic era".
Multimodal Capability:
- It can process and generate a wide range of content formats such as text, images, audio, video, and code.
High Efficiency:
- The Gemini 2.0 Flash model has high speed and performance, making it suitable for a wide range of everyday tasks.
Examples of applications:
- Create a medical image analysis system to help diagnose diseases.
- Create a text-based video creation system, making it easy to create videos.
- It is used in product design by creating 3D models from text or images.
Advantage:
- Multimodal capability, high performance, fast response or output
LLaMA from Meta: An open-source large language model
LLaMA 3.3 is the latest AI model from Meta, released on December 6, 2024.
It has the following key features:
- Scale and training: A 70 billion-parameter model trained with 39.3 million GPU hours on NVIDIA H100 GPUs.
- Performance: Provides performance comparable to the 405 billion parameter LLaMA 3.1 model, but at a much lower cost.
Examples of applications:
- Create an open-source chatbot that developers can customize and use for free.
- Create a translation system for developers that can translate code from one language to another.
- It is used in AI research by experimenting and developing models.
Advantage:
- Reveal the source code, use it for free, download the model and install it yourself on our computer, or use it in the cloud through the website. Meta AI
Summarizing the pros and cons of each model:
| model | advantage | weakness |
|---|---|---|
| DeepSeek | High efficiency, low cost | It is not yet fully capable of working with a wide variety of languages. |
| GPT-4.5 | Excellent contextual understanding, multilingual support | High price, limited file uploads |
| Qwen | Support multi-language and multimodal processing, competitive price. | The documentation may not be as detailed as it should be. |
| Claude 3.7 | High security, transparent reasoning. | Limitations on Thai language support |
| Gemini 2.0 | Multimodal capability, high performance | |
| LLaMA 3.3 | Source Code Revealed, Free to Use | May not support some commonly used languages, requires knowledge and understanding to use the model. |
Comparison table of features
| qualification | DeepSeek | GPT-4.5 | Qwen | Claude 3.7 | Gemini 2.0 | LLaMA 3.3 |
|---|---|---|---|---|---|---|
| Model Structure | Mixture of Experts (MoE) | Transformer | Transformer | Transformer | Transformer | Transformer |
| Number of Parameters | 671 billion | 1.8 trillion | Not disclosed. | Not disclosed. | Not disclosed. | 70 billion |
| Language proficiency | Advanced NLP | Advanced NLP | Advanced NLP | Advanced NLP | Advanced NLP | Advanced NLP |
| Multilingual support | have | have | have | have | have | have |
| Multimodal Capabilities | indistinct | Yes (Photos, Files) | Yes (Visual, Audio) | without | Yes (text, image, audio, video, code) | without |
| Source Code Disclosure | Partially disclosed | Not disclosed. | Partially disclosed | Not disclosed. | Not disclosed. | expose |
| Special features | High efficiency, low cost | Excellent contextual understanding | Flexible for Business, Competitive Price | High safety and ethics | Multimodal capability, good compatibility with Google Services | Easy access for researchers, low cost |
| Test Result (MMLU/HumanEval) | MMLU: 80.5 | MMLU: Above 86.4 (GPT-4) | HumanEval: 78.4 (Qwen2.5-Coder) | No disclosure | No disclosure | No disclosure |
| Application Examples | Automated customer service, financial data analysis | Create content, help program, create chatbots | Automatic translation system, question answering system, sales data analysis | Develop apps that require justification, review inappropriate content. | Analyze medical images, create videos from text, design products. | Build Open Source Chatbots, Developer Translation Systems, AI Research |
| advantage | High efficiency, low cost | Excellent contextual understanding, multilingual support | Support multi-language and multimodal processing, competitive price. | High security, transparent reasoning. | Multimodal capability, high performance | Source Code Revealed, Free to Use |
| weakness | It is not yet fully capable of working with a wide variety of languages. | High price | The documentation may not be as detailed as it should be. | High price | May not support some commonly used languages, requires knowledge and understanding to use the model. |
How to choose the right one for your job
Each model has different strengths. The choice therefore depends on the specific needs of each task:
- DeepSeek is ideal for organizations that need a high-performance, low-cost, and customizable AI solution, but it should consider language capabilities that may not be as comprehensive as other models.
- OpenAI's GPT stands out in the field of communication. It is easy to understand and create a variety of content, both text and image (DALL-E image model), suitable for tasks that require complex but expensive context understanding.
- Qwen is ideal for businesses that need a customizable AI solution. It supports multiple languages and has specialized abilities in coding and math. Competitive price is available.
- Claude is ideal for organizations that prioritize safety and ethics in the use of AI.
- Gemini is ideal for tasks that require multiple data processing formats (toss image and video files to them) and are compatible with Google Services. There is a button to press in the app.
- LLaMA is ideal for researchers and developers who want access to large-scale AI models for further experimentation and development.
In the rapidly evolving world of AI, Choosing the right model will increase work efficiency and create a competitive advantage in the business.
It's important to fully understand your own needs and the potential of each model, while staying up-to-date with the latest developments in AI technology.
Finally, I hope this article is helpful 😊.
References
- Information about Google Gemini :
- Gemini Analytics & Reviews :
- About DeepSeek :
- Information about GPT (Generative Pre-trained Transformer) :
- Information about Qwen:
- Comparing and analyzing AI models:
If there is any information wrong in this article, please let me know. I have read many articles and have been eye-catching 😂.