You can see the growing industry of artificial intelligence nowadays. One of the major artificial intelligence company is Deepseek. Deepseek with its up to-date AI models, empowers businesses to solve their complex problems, optimize their operations and to improve customer experience. The question here is that, out of so many AI models available which model best suits you? In this blogpost, we will explore Deepseek models list with its features, applications and benefits.
What is DeepSeek?
Deepseek is a Chinese AI company founded by Liang Wenfeng, that has developed advanced large language model (LLMs) that is also a cost effective yet powerful. Deepseek has gained rapid attention for its innovative AI approach that focuses on efficiency and open source reliability.
Now lets explore Deepseek Model list.
DeepSeek Models List:
DeepSeek-V2
Deepseek model DeepSeek-V2 works on its mixture of experts (MoE) language model, that can handle wide range of tasks, mathematical reasoning, coding, natural language understanding and so on. Deepseek has 236 billion total parameters, but DeepSeek-V2 activates only 21 billion parameters per token to be more efficient than competitors. This approach makes it more faster and cost effective than others AI models.
DeepSeek-Coder-V2
Another Deepseek model “DeepSeek-Coder-V2” is specialized at code generation and understanding. It supports 338 programming languages. It extends upto 128k tokens, which enables it to handle complex coding tasks effectively. It is trained on a complex data set comprises of 60% source code, 10% mathematical content, and 30% natural language.
DeepSeek-R1
It is a robust computer vision model that is specialized in reasoning tasks. It is the major competitor of openAI model ChatGPT 4. It is widely used in healthcare, automotive and retail.
DeepSeek-V3
It is one step higher accurate than V2, It incorporates multi token prediction training, and mixed precision arithmetic which enhances its capabilities in content creation and complex task handling.
Janus-Pro
It is a multimodal model that is specialized in both image generation and analysis similar to DALL-E and Stable Diffusion.
How to Choose the Right DeepSeek Model
After having a brief description of Deepseek models list, you might be confused out of these which model should I choose? The answer is quiet simple, Choose according to your need. If you are working on small tasks like summarizing short texts, answering simple questions, or building lightweight chatbots than you can choose DeepSeek-R1. On the other hand, If you are working on larger tasks like generating high-quality content, analyzing large documents, writing code, or handling multiple language than you can use DeepSeek-Coder-V2.
The approach to choose the right Deepseek model from Deepseek models list is that, you should test each model with your own data and see which model best suits your needs.
To make it easier, here’s a quick comparison:
| Model Name | Release Date | Main Purpose | Key Features |
|---|---|---|---|
| DeepSeek-V2 | Nov 2023 | Will assists you in writing and debugging code. | Trained on 60% source code, 10% mathematical content, and 30% natural language. supports multiple programming languages. |
| DeepSeek LLM | Dec 2023 | Works on general-purpose language understanding. | 67 billion parameters; comparable performance to GPT-4; handles various language tasks. |
| DeepSeek-V2 | May 2024 | Enhanced efficiency and reasoning in language tasks | 236 billion total parameters with 21 billion active; uses Mixture-of-Experts (MoE) architecture. |
| DeepSeek-Coder-V2 | Jul 2024 | Advanced coding assistance for complex programming tasks | 236 billion parameters; 128,000-token context window; supports 338 programming languages. |
| DeepSeek-V3 | Dec 2024 | High-performance language model for diverse tasks | 671 billion parameters; MoE architecture; trained on 14.8 trillion tokens; context length of 128,000. |
| DeepSeek-R1 | Jan 2025 | Advanced reasoning and problem-solving capabilities | Based on DeepSeek-V3; trained via reinforcement learning; matches or exceeds OpenAI’s o1 model. |
| Janus-Pro-7B | Jan 2025 | Image understanding and generation | Vision model; processes and generates images; expands DeepSeek’s capabilities beyond text. |
| DeepSeek-Prover-V2 | Apr 2025 | Formal mathematical theorem proving | Specialized in Lean 4 proofs; uses reinforcement learning for subgoal decomposition; state-of-the-art performance in theorem proving. |
FAQs: People Also Ask
1. What DeepSeek models are available?
DeepSeek offers a wide range of models, including DeepSeek-V3 (NLP), DeepSeek-R1 (Computer Vision), DeepSeek-Predict (Predictive Analytics), and DeepSeek-API (Integration).
2. What is the model name of DeepSeek API?
The model name for DeepSeek API integration is DeepSeek-API.
3. Which is better, DeepSeek-V3 or R1?
It depends on your needs. DeepSeek-V3 is ideal for text-based applications like chatbots, while DeepSeek-R1 excels in visual data analysis. Both are leaders in their respective domains.
4. What is the difference between the DeepSeek models?
The primary difference lies in their functionalities:
- DeepSeek-V3 focuses on NLP and text generation.
- DeepSeek-R1 specializes in computer vision.
- DeepSeek-Predict is designed for predictive analytics.
- DeepSeek-API offers versatile integration capabilities.
Conclusion
The DeepSeek models list describes the company’s commitment to innovation and excellence. Whether you are looking to enhance customer engagement, analyze visual data, or make data-driven decisions, DeepSeek has a model which fulfills your needs. By understanding the features, applications, and benefits of each model, you can unlock the full potential of AI for your business.
Ready to explore DeepSeek’s offerings? Visit the official DeepSeek website to learn more and get started today.
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