What is DeepSeek? How Does It Differ from Other Models?

In addition to many different artificial intelligence models such as OpenAI GPT series, Google Gemini, Meta Llama, Anthropic Claude, Mistral AI, Cohere Command models, Stability AI models, Grok series, and Amazon Titan, DeepSeek is also frequently utilized across various industries to meet different needs. Designed as an advanced artificial intelligence model based on Natural Language Processing (NLP), it enables users to perform countless operations such as text generation, coding, and image creation in a short time. By continuing to read this article, you can fully understand what DeepSeek is, what it is used for, how it works, and its compatibility with cloud architectures.

Developed by a Chinese AI startup, DeepSeek is defined as a highly advanced deep learning-based large language model. Trained on an extremely large dataset, this LLM-powered tool can execute a wide range of generation tasks, from text production and visual creation to summarization and classification. However, the primary difference that sets DeepSeek apart from other LLMs is that it is developed with a strong focus on reasoning. DeepSeek is optimized for reasoning-driven operations. Thanks to this ability, complex queries involving logical inference, problem-solving, data correlation, and chain-of-thought reasoning become part of its routine. In addition to this major advantage for developers, DeepSeek also stands out with its seamless integration into cloud-based systems and applications. This means organizations can easily incorporate text or visual generation capabilities into their own applications through DeepSeek.

In short, DeepSeek is not merely an AI tool that responds to user queries and generates summaries — it is a highly versatile artificial intelligence solution.

Key Features of the DeepSeek AI Model

• Built on a Large Language Model (LLM) architecture.
• Excels in deep reasoning capabilities.
• Can write code, detect errors, and support software development.
• Capable of generating both text and images.
• Can be integrated via API.
• Designed to be more cost-efficient compared to other models.
• Provides large-scale data processing capacity.
• Fully compatible with cloud architectures.
• Offers multilingual support.

• DeepSeek Coder: As its name suggests, DeepSeek Coder is designed for software developers. Supporting numerous programming languages, it specializes in tasks such as code generation, code completion, debugging, and function creation.
• DeepSeek LLM: A large language model capable of delivering versatile outcomes, from text generation and Q&A to summarization and complex analysis. Thanks to its multilingual support, it can provide natural and coherent responses in different languages.
• DeepSeek-V2: An enhanced successor version that delivers improved reasoning and more natural content generation capabilities compared to its predecessor.
• DeepSeek-Coder-V2: A more advanced version of DeepSeek Coder, offering significantly higher performance in coding tasks. Designed to handle complex development workloads, it excels at generating long code blocks and producing technical explanations.
• DeepSeek-V3: Developed to surpass V2 in performance, DeepSeek-V3 provides exceptional reasoning ability, enabling mathematical analysis, long-context processing, and scalability for enterprise workloads. Its text and image generation capabilities are notably more mature than those of V2.
• DeepSeek-R1: Named after the phrase “Reasoning-first,” DeepSeek-R1 prioritizes logical inference. It excels in reasoning, problem-solving, and analytical decision-making.
• Janus-Pro-7B: A multimodal model focused on both vision and text. With DeepSeek image generation capabilities, it allows for creating, describing, and processing visuals with higher speed and lower cost while delivering clearer results in image-text combined queries.

For those curious about what DeepSeek is and how to use it, this section highlights key usage scenarios supported by this advanced AI model. Review the topics below to learn exactly how DeepSeek is used.

• Software Development: DeepSeek simplifies rapid prototyping, function writing, and technical documentation. Even in complex development tasks, it produces consistent and well-explained outputs.
• Content Creation: It helps create natural, fluent, and accurate content across writing workflows including blogs, social media posts, product descriptions, and other text-based production needs.
• Research and Analysis: DeepSeek can produce fast summaries, simplify academic papers, analyze data, and provide comprehensive explanations — ideal for users who need quick access to reliable information.
• Code Completion: It can complete missing code blocks, provide suggestions, and detect incorrect lines — significantly improving developer productivity.
• Error Detection: By reviewing existing code, it can identify faulty lines, clearly describe issues, and provide step-by-step recommendations for resolution — effectively reducing time spent on debugging.

The table below presents a comparison of DeepSeek vs ChatGPT in terms of cost, intended use, capabilities, user experience, output accuracy, and product goals. Here are the detailed insights into ChatGPT and what DeepSeek is used for!

As part of answering the question “What is DeepSeek deep reasoning?”, this article also highlights its integration with cloud-based systems. By bringing powerful AI capabilities into the cloud, DeepSeek offers scalable, flexible, and secure deployment options. Its cloud-native architecture enables seamless integration into diverse applications and workloads. Thanks to modern cloud infrastructure solutions, DeepSeek automatically adapts to increasing data and processing demands while maintaining performance even during high-traffic workloads. Moreover, its compatibility with technologies such as containers and Kubernetes ensures faster and more streamlined deployment and management. With API-driven integration into existing enterprise systems and compliance with security protocols, DeepSeek ensures data confidentiality in organizational environments. Additionally, DeepSeek supports not only text-based workloads but also visual and data-intensive tasks, enabling organizations to manage analytics and creative workflows from a unified platform in the cloud. In summary, DeepSeek offers high performance and flexibility for both technical and creative workloads in cloud environments.

You may also be interested in our article titled What is Machine Learning? Its Integration with Cloud Technologies.

Is DeepSeek paid?

DeepSeek offers different subscription options depending on the selected plan. Some core features may be available for a limited time or as part of a free trial, while full-featured usage requires a paid version.

How do I download DeepSeek?

DeepSeek is not a downloadable software but a cloud-based platform. You can register on the official website and access it via API or web interface. Certain integrations may require additional tools or extensions.

Is DeepSeek secure?

Yes, DeepSeek is a secure artificial intelligence model. It applies standard security measures such as encryption and access control to protect user data. Its compatibility with cloud infrastructure also ensures safe enterprise adoption.

Which country developed DeepSeek?

DeepSeek was developed in China by DeepSeek AI in 2023 under the leadership of its founder and CEO, Chinese entrepreneur Liang Wenfeng, and has been positioned as an international AI solution.

What can be done with DeepSeek?

DeepSeek enables many tasks such as text generation, content creation, code completion, debugging, data analysis, and visual generation — delivering high effectiveness across both technical and creative workloads.

When was DeepSeek launched?

The first major DeepSeek language model was released as open source in late 2023, and the DeepSeek chat application was launched in early 2025.