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What is Deepseek?

DeepSeek is the name of a Chinese company specializing in artificial intelligence. It is also the name of its AI chat, a proprietary alternative to Copilot, Gemini, and similar platforms. Therefore, you may hear or read mentions of DeepSeek referring to both the company and its chatbot.

In this article, we will focus on an AI chatbot. This chatbot is a Large Language Model (LLM). It is designed to help with software development, natural language processing, and business automation.

DeepSeek stands out for being open-source. This means anyone can see how it works inside. It is fully transparent. Anyone can install this AI locally or use it for free. A developer or researcher can download it from GitHub and modify it for various scenarios, including commercial ones.

Also, since it is available and open-source, anyone can download it and run it on their own computers. This may slow things down, but it keeps everything you write and do on your device. The Chinese company cannot access it. In other words, everything remains on your PC. This is in stark contrast to the secrecy and limited freedom of private models.

Many people believe that private and hidden code from most developers leads to better product quality. However, DeepSeek is proof that open-source can match and even surpass these companies in certain aspects.

Another key feature of DeepSeek is its native chatbot. This chatbot is available on the official DeepSeek website. It is completely free and does not need a subscription to use its most advanced model. Additionally, you can use DeepSeek in English simply by speaking to it in that language.

When compared to ChatGPT by asking the same questions, DeepSeek may be slightly more concise in its responses, getting straight to the point. However, it has the same flexibility as other models, and you can ask it to explain things more broadly or adapt them to your needs.

Two Leading AI Models

DeepSeek has been a hot topic at the end of 2024 and the beginning of 2025 due to two specific AI models. First, there is DeepSeek V3, a large-scale LLM model that outperforms most AIs, including some proprietary ones. In tests such as programming, this model managed to surpass Llama 3.1 405B, GPT-4o, and Qwen 2.5 72B, although all of these have far fewer parameters, which may influence performance and comparisons.

What has truly surprised people about deepseek-v3 model is that it “only” required 2.788 billion hours of training. Then there is the issue of the cost of this training. It is said to have cost just 5.5million,comparedtothe5.5million,comparedtothe80 million spent on models like those from OpenAI.

What does seem cheaper is the internal usage cost, specifically for tokens. This is a difficult concept to explain. AIs operate with tokens, which are like usage credits that you pay for.

The other main model is DeepSeek R1. It focuses on reasoning. It has matched or even done better than OpenAI’s best models in key math and programming tests. This model is the first Chinese open-source and free model to match Western leaders. It breaks Silicon Valley’s monopoly.

To give some figures, this R1 model cost between 90% and 95% less to develop than its competitors and has 671 billion parameters. Additionally, in the MATH-500 mathematical tests, it achieved a 97.3% accuracy rate, compared to OpenAI’s 96.4%.

How DeepSeek Works

DeepSeek has been developed using pure reinforcement learning, without pre-labeled data. This is a technical feat that was previously considered impossible, and it opens new doors for training such systems.

This reinforcement learning allows the model to learn on its own through trial and error, much like how you can learn to ride a bike or perform certain tasks. This makes the initial results more erratic and imprecise, but the model itself discovers and develops unique reasoning strategies to continue improving.

After this training phase, DeepSeek refined the model by combining it with other supervised training methods to polish it and create the final version of R1, which retains this component while adding consistency and refinement.

From the user’s perspective, its operation is similar to other models. You have a home screen with a text input field and various functional options. On the results page, there is a left-hand column with a DeepSeek history of all your chats.

To use it, you simply type a question in natural language, just as you would ask a person. DeepSeek then analyzes the words in your question to determine the intent, searches its training database or the internet for relevant data, and composes a response in natural language.

Thanks to the way it was created, this model can understand complex contexts in lengthy and elaborate questions. Additionally, it can continue learning and improving. The application can be used for free online or by downloading its mobile app, and there are no subscription fees.

What You Can Do with DeepSeek

With this AI model, you can do practically the same things as with other models. You can ask it all kinds of questions, and it will respond in real time. You can ask about famous people, places, the meaning of things, or anything else that comes to mind.

It can also explain complex topics in a simple way, as long as you ask it to do so. You can also send it documents to extract key information and ask questions related to their content.

It is useful for programming, allowing you to write or debug code, as well as solve mathematical problems. Additionally, if you are a content creator, you can ask it to generate ideas, texts, compose poetry, or create templates and structures for articles. It can also review and correct texts.

In the box where you write your prompt or question, there are three buttons. The paperclip icon is for attaching files. You also have the DeepThink R1 button, which makes the AI “think” about what it has previously answered or your context, providing a reasoned response. Lastly, the Search button allows DeepSeek to search the internet, citing sources before delivering the response.

Then, with each response it provides, you have buttons to copy the text, two buttons to rate it positively or negatively depending on the quality of the response, and another button to regenerate the response from scratch based on the same prompt.

DeepSeek Future

DeepSeek’s future appears promising, as it represents a next-generation approach to search technology. By leveraging AI-driven search results, it aims to deliver more accurate, personalized, and context-aware answers, potentially surpassing traditional keyword-based search engines. Its focus on privacy-friendly features also aligns with growing user demand for data security and transparency. Additionally, its open-source capabilities could foster innovation and collaboration among developers, making it a versatile and adaptable platform.

If DeepSeek continues to innovate and address user needs effectively, it could disrupt the search engine market, offering a compelling alternative to established players like Google.

However, its success will depend on factors such as adoption rates, technological advancements, and its ability to maintain a balance between innovation and user trust. In the long term, DeepSeek could become a significant player in the evolution of search technology, especially as AI and privacy concerns continue to shape the digital landscape.

DeepSeek vs Other AI Models

Artificial intelligence (AI) models have become essential tools in various fields, from content creation to data analysis. Among these models, DeepSeek has emerged as a strong competitor, offering a balance of performance, speed, and cost-effectiveness. But how does it compare to other popular AI models like GPT-4, Claude, and Gemini? In this sectaion, we’ll explore the key differences to help you choose the best AI model for your needs.

Feature	DeepSeek	Other AI Models (e.g., GPT-4, Claude, Gemini)
General Performance	Strong in text understanding, translation, Q&A, and content generation.	Excellent in complex tasks, long-text generation, and analytical thinking.
Speed & Efficiency	High response speed and resource efficiency, ideal for real-time applications.	May be slower due to model complexity but excels in depth and detail.
Accuracy & Context	Good contextual understanding, especially for long texts and balanced answers.	Superior in handling complex contexts and providing detailed responses.
Customization	Highly customizable for specific business or industry needs.	Requires more effort for customization but excels in specialized tasks.
Cost & Accessibility	Cost-effective, offering a balance between performance and affordability.	Can be more expensive due to advanced capabilities and brand reputation.
Multilingual Support	Supports multiple languages but may lag in rare languages.	Broader support for rare languages due to extensive training data.
Updates & Support	Regularly updated with new features and improvements.	Strong support from major companies (e.g., OpenAI, Anthropic, Google).
Safety & Privacy	Focused on advanced safety measures and privacy controls.	Also secure but may face challenges due to widespread usage.

Choosing the right AI model depends on your specific needs. DeepSeek is an excellent choice for users looking for a cost-effective and efficient solution for general tasks. On the other hand, models like GPT-4 and Claude are better suited for complex, in-depth tasks but may come at a higher cost. Evaluate your requirements and budget to make the best decision for your projects.

Is DeepSeek Free?

If you use DeepSeek often and want an alternative to ChatGPT or other AI models, you might use it for free. This can happen if it is on a platform that allows free access. This includes the official website or third-party apps.

DeepSeek provides several AI models. These include DeepSeek Coder and DeepSeek-LLM. You can access them for free on its open-source platform. However, for advanced features or API access, users may incur fees depending on their usage. This flexible pricing structure makes it an attractive option for both individual developers and large enterprises.

Open-Source Models: DeepSeek’s R1 model is open-source, allowing developers to download, modify, and deploy it on their own infrastructure without licensing fees. However, self-hosting requires investment in hardware and technical expertise.

API Services: For those preferring to use DeepSeek’s hosted services, the company provides API access to various models at competitive rates.

While DeepSeek’s open-source models can be used freely if self-hosted, accessing their hosted API services involves costs based on usage. For detailed and up-to-date pricing information, it’s advisable to consult DeepSeek’s official documentation or contact their support team.