DeepSeek, a Chinese AI firm, has caused a stir in the market with its AI model DeepSeek. Currently, this AI model is competing with the US-based AI organization. OpenAI and its ChatGPT. The company, founded by Liang Wenfeng, was established in 2023 and is headquartered in Hangzhou, China. This means despite being a new company, the Chinese startup has gained traction in the industry. Here, we will discuss the company and its different AI models in detail. So, let’s jump straight to the blog now.
Different DeepSeek AI Models
Despite being a new player in the AI industry, DeepSeek has launched several models that show its potential. The following are the models that DeepSeek company has introduced.
DeepSeek Coder
It’s the very first open-source model from the company and was introduced in November 2023. This AI model is used for coding and comprises a series of code language models, each trained from scratch on 2,000 tokens (tokens are the smallest units of text that an AI model processes). The AI model consists of 87% code and 13% natural language in both English and Chinese.
DeepSeek LLM
The LLM model, built with 2 trillion tokens in English and Chinese, was released in December 2023, following the DeepSeek Coder. It is the first version of the company's general-purpose model.
DeepSeek-V2
V2 is the second version of the LLM model from the company founded by Liang Wenfeng. This large language model uses a mixture of expert (MoE) architecture for impressive performance while keeping computational costs low. It has a multi-head latent attention (MLA) for an efficient interface and is one of the top-performing open-source models for generation capabilities.
DeepSeek Coder V2
DeepSeek Coder V2 was released in July 2024. It is a 236-billion-parameter (parameters are used to determine the output of the model for a given input) model. This is the second version of the Coder launched in November 2023 and can help you with even complex coding. It is trained with 1.17 trillion code-related tokens and 6 trillion additional tokens during the pre-training phase.
DeepSeek-V3
V3 is another model launched in December 2023 from the DeepSeek company. It boasts 671 billion parameters and was trained on 14.8 trillion tokens for around 55 days. This AI model became popular because of its groundbreaking reasoning, coding, and mathematical computation efficiency. V3 also uses MoE architecture.
DeepSeek-R1
The R1 model, launched in January 2021, is specifically designed for mathematical reasoning and real-time problem-solving. It was trained with reinforcement learning, employing Group Relative Policy Optimisation (GRPO) to enhance reasoning capabilities. Like V3, the R1 model has 671 billion parameters and a context length of 12,8000.
Janus-Pro-7B
Janus-Pro-7B is a vision model that can understand and generate impressive images from text commands. It was launched in January 2025 and outperforms DALL-E 3 in benchmarks, such as GenEval and DPG-Bench. It combines general models' flexibility with specialized ones' accuracy, making it faster and more efficient than other models.
Why is Unique Innovations Of DeepSeek?
Despite being released in 2023 and being a new player in the industry, the company has become popular, all thanks to DeepSeek's founder and team. They used unique innovations in the AI models. Learn about these innovations from the following list.
Reinforcement Learning
Reinforcement learning (RL) is a machine learning technique that teaches software to make the right decisions to achieve optimal results. The company used reinforcement learning in its models, such as R1. This enabled the models to learn through trial and error and self-improve through algorithmic rewards.
Reward Engineering
Reward engineering is designing reward functions to guide the learning process in RL. The DeepSeek company researchers developed a rule-based reward system for the model that outperforms commonly used neural reward models.
Distillation
It is a machine learning technique in which a larger model transfers its knowledge to a small, efficient model. Researchers used distillation and compressed capabilities into AI models as small as 1.5 billion parameters. Due to this, smaller models can use advanced reasoning and language processing capabilities.
Emergent Behavior Network
The emergent behavior driven by the interaction of the simple components within an AI system allows complex reasoning patterns to develop naturally.
What are the benefits of DeepSeek?
DeepSeek's founder keeps cost efficiency at the core of his vision and business strategy. Here are a few advantages that showcase this commitment.
Reduced Training Cost
Due to reinforcement learning and MoE architecture, the training cost for models is reduced significantly. It’s because of the lower computational resource requirement for training the AI model. For instance, the V3 model was trained for just around $5.5 million, a fraction of the cost compared to Meta, which is around $40 billion.
Affordable API Pricing
API (Application Programming Interface) cost of the company is pretty low compared to its competitors. This makes its models accessible to smaller businesses and developers who cannot invest much. For instance, R1’s API costs just $.55 per million input tokens and $2.19 per million output tokens. However, compared to OPenAI’s API, which costs $15 to $60, respectively, it’s quite economical.
Open Source Model
The open-source approach further enhances cost efficiency by eliminating licensing fees. Due to this, developers can freely access, modify, and deploy DeepSeek’s models.
Shaping The Future Of AI
Over the years, we have witnessed significant tech advancements driven by global companies, and the era of AI has come. OpenAI and other companies strive to dominate the market with their AI models. Liang Wenfeng, the DeepSeek founder has made a great impact on the industry with his models. Currently, this Chinese company is focused on research and development to grow even more.
Frequently Asked Questions(FAQs)
1- Is DeepSeek chat free?
Yes, like ChatGPT, Deepseek is free and can be used on laptops, PCs, and smartphones.
2- How do you use DeepSeek on mobile?
It’s very easy; just download the mobile app and install it. Then, open the app and search for what you want to know.
3- Does DeepSeek collect your data?
Yes, DeepSeek collects data, including profile information, username, email, phone number, password, and date of birth.
4- How is DeepSeek different from ChatGPT
It focuses on efficiency, lightweight deployment and open-source AI; however, ChatGPT excels in text-based conversation, coding and reasoning.
5- Is DeepSeek based on ChatGPT?
OpenAI has constantly warned Chinese startups, including DeepSeek, about using its technology to develop competing products. David Sachs, the “crypto czar” of Donald Trump, also claims that there is significant evidence that DeepSeek relied on the results of OpenAI models to develop its own technology.
6- What is the core purpose of DeepSeek?
DeepSeek specifically aims to simplify data analysis, quick searches, and access to accurate information. At present, data is growing exponentially, making it difficult to find the right and meaningful information. DeepSeek is here to solve this problem.