Here’s What You Need To Know About DeepSeek AI

Tech headlines recently have been dominated by DeepSeek AI, which launched its R1 model. What’s remarkable is the development cost—just under $6 million.

This announcement has left advanced AI models shaking their foundations, causing a ripple effect in the global market. Companies like Nvidia felt the impact with significant fluctuations in the stocks.

AI is rapidly evolving, and DeepSeek AI has emerged as a strong player in this field. It is an open-source large language model, representing a significant advancement in the landscape.

Starting from its launch, DeepSeek has been making headlines, gaining attention for its innovative approach, particularly for using the attention mechanism and the Mixture-of-Experts (MoE) architecture.

The DeepSeek-R1 model achieves performance compared to other advanced AI. Well, it’s just not about another chatbot. It shows that innovation is not about who spends the most—it’s about who thinks differently and innovates.

So, what exactly is DeepSeek AI? And why is it making others nervous about its launch? Let’s break it down.

What Is DeepSeek AI?

DeepSeek is an open-source model using an advanced large language model (LLM). This AI model is designed to handle a wide range of tasks, such as code generation, image generation, content creation, and natural language processing. 

It is a highly intelligent assistant that understands and works with both human and computer code. Its usage is similar to that of other AI tools such as ChatGPT, Gemini, Microsoft, etc. Generate answers to queries, aid in writing, editing, proofreading, debugging, analyzing text from files, etc.

DeepSeek AI principals will likely inspire people with their model while sparking a new wave of open-source AI initiatives. What’s interesting is that it isn’t really about DeepSeek but about the trend it represents: open source as the winning method for mainstream AI use cases. 

Despite being a new player in the market, it has already made a massive impact, quickly becoming the most downloaded AI application. 

What Are The Different DeepSeek AI Models?

Since its release in 2023., DeepSeek AI has released a series of generative AI technologies. With every new model, they worked on providing advanced capabilities and performance.

DeepSeek Coder: It was the first open-source model launched by the company in 2023, designed especially for coding-related tasks.

DeepSeek LLM: Also, released in 2023, this was labeled as the company’s first version of a general-purpose model. This 67B model outperformed other models in reasoning, coding, mathematics, and Chinese comprehension. 

DeepSeek-V2: Released in May 2024, the second version of the company’s LLM. It focuses on low training costs while ensuring quality performance.

DeepSeek-Coder-V2: This billion-dollar model is designed for complex coding challenges. It supports 338 languages with approximately 128k context lengths. 

DeepSeek-V3: This model uses MoE architecture to handle a range of tasks.

DeepSeek-R1: Focuses on advanced reasoning tasks competing with the Open AI models in performance while maintaining its low cost.

Janus-Pro-7B: Recently released in January 2025, a vision model that understands and generates images. A multimodel that excels in text-to-image generation, outperforming other AI models. 

DeepSeek AI VS Leading AI Models

Recently, the four eminent models captured the attention: DeepSeek AI, ChatGPT, Gemini, and Perplexity AI. Let’s see what the fuss is all about.

DeepSeek

A Chinese startup backed by the hedge fund High-Flyer. It focuses on cost-effectiveness, technical tasks such as coding, mathematical reasoning, and strong support for Chinese natural language processing (NLP). The various DeepSeek models, such as DeepSeek-V2 and DeepSeek-R1, focus on efficient resource use. The open-source approach makes it more interesting for researchers and developers who seek customization and transparency. 

ChatGPT

ChatGPT is a highly recognized open AI versatile tool in content creation and robust code assistance. Built on various iterations, such as GPT-4 and GPT-4 Turbo, it is a go-to tool for many applications, from customer services to writing assistance. 

Gemini

Gemini is Google’s takeout to the evolving AI. It is designed for a wide range of tasks integrated with the Google ecosystem. The recent updates in Gemini offer extended context windows and improved speed, placing it as a strong competitor in both creativity and productivity.  

Perplexity AI

Perplexity AI uses real-time web data to offer authentic and reliable answers. The design emphasizes research and information retrieval with a built-in support system, making it ideal for academic and professional research tasks. However, the main focus is on factual synthesis, meaning it is less suited for creative or open-ended conversation. 

Key Features Of The DeepSeek Model

The growing hype around DeepSeek AI isn’t just about its rise. It’s about the fact of what it can do. Despite being built at a fraction of the cost, it delivers high-quality performance. Here’s how it stands out from other models.

 

Advanced Reasoning Model

DeepSeek doesn’t just generate text but reasons through various problems step-by-step. If we compare DeepSeek vs. ChatGPT, it delivers more quality performance and accuracy, especially in coding, math, and problem-solving.

By imitating human thought processes, DeepSeek AI offers more logical responses. This sets it apart from other generative AI models. 

Hardware Utilization

DeepSeek AI proves that innovation is not just about accessing the best chips. It combines Nvidia A100 chips to keep low cost.

This makes it a cost-effective solution as compared to other generative AI solutions while maintaining performance levels. It has challenged the concept that AI advancement needs unlimited hardware resources. 

Content Creation

Just like other AI chatbots, DeepSeek AI can write articles, summarize documents, and help with research. Its ability to generate content and support research makes it useful to users, professionals, and content creators. 

Users can even rely on the DeepSeek image generator to create, design, visualize, and unleash their creativity. On the other hand, its cloud-native design offers flexibility and supports deployments in hybrid or cloud environments. This adaptability feature makes it a useful tool for various applications ranging from customer service automation to large-scale data analysis. 

Coding & Debugging Support

Developers can write, debug, and optimize codes across multiple programming languages. The reasoning features help in error detection and offers logical fixes, making it a valuable tool for both beginners and expert programmers. 

The high precision level of the model reduces errors within the AI-generated content, resulting in improved reliability for decision-making. Businesses can use DeepSeek for content generation, code deployment, and customer support while maintaining quality and consistency.

Low Development Cost

Training open AI models costs hundreds of millions, while DeepSek AI is just being developed for over $6 million. 

Unlike open AI models, DeepSeek AI optimizes hardware usage and refines its training model to deliver high-quality performance at a fraction of the usual price. This could set a new trend, proving that efficiency matters as much as raw power.  

Access To AI Chatbot

Unlike some generative AI services that require paid subscriptions, DeepSeek is free to use. It contributes to the rapid adoption of AI, making it a strong competitor.

Its availability across various platforms ensures its usage worldwide. Beyond its programming functionalities, DeepSeek AI enables faster document synopsis, email drafting, and knowledge restoration. These improvements help free up time for other valuable tasks, enhancing the overall performance. 

Conclusion

AI models have been long dominated by companies with vast resources and robust hardware.

But DeepSeek proves that intelligence is not just about power but efficiency. It has shaken the AI industry with its high performance without the need for massive cost.

The DeepSeek research and development covers MoE architecture, RL training techniques, and comprehensive community support. The reasoning-based approach makes it a strong alternative to traditional generative artificial intelligence. Businesses can even harness its functionalities to develop robust ML applications. 

With its open-source models, such as DeepSeek-R1 and DeepSeek-V3, it continues to close the gap between closed and open-source models. From coding assistance to providing multilingual comprehension, DeepSeek AI continues to demonstrate technological and community-driven development. 

Now, the question is not about what DeepSeek is—but rather how businesses will leverage this AI model to shape the future.

Frequently Asked Questions

1. Why did the Nvidia stock drop?

Nvidia experienced the largest stock drop with the launch of DeepSeek-R1. It claims to train its model for $6 million, a tenth of the amount spent by other AI models. As a result, the question arises of whether tech giants like Meta and Microsoft need to maintain their current level of investment in the Nvidia hardware.

2. Is DeepSeek safe to use?

Yes, DeepSeek AI follows industry-standard protocols to safeguard user data. However, before using the AI platform, businesses must review its privacy policies, data handling strategies, and compliance with international regulations before using it.

3. What makes DeepSeek different from other AI models?

DeepSeek’s cost-effectiveness is what differentiates it from other AI models. It requires less computing power compared to other AI models, making them accessible to a wide range of businesses. While its open-source allows third-party developers to modify and expand its capabilities.

4. Can you use DeepSeek for free?

Yes, users can use DeepSeek for free. Their chatbot is available free through their website and mobile applications for Android and iOS. Developers and businesses can use this open-source model, allowing them to download and modify the technology.