DeepSeek vs ChatGPT: A Complete Comparison

For the last few days, DeepSeek has been trending, and it also freaked the American billionaires after its release as Nvidia lost $500 billion and the stock market went down. The reason? It’s free-to-use features. So, the AI world has one more competitor for Gemini, ChatGPT, and Copilot. Besides its popularity, users are talking about DeepSeek being a threat to ChatGPT, which has been the strongest player in the race of artificial intelligence.

Moreover, it also displaced ChatGPT as the App Store’s top-downloaded app in just two days. However, OpenAI co-founder and CEO Sam Altman praised by writing “DeepSeek’s R1 is an impressive model, particularly around what they’re able to deliver for the price.” He further added, “We will obviously deliver much better models, and it’s legit invigorating to have a new competitor! We will pull up some releases.” Well, if you are confused about DeepSeek vs ChatGPT, which one to use, the blog is for you.

DeepSeek vs ChatGPT

DeepSeek was founded by Liang Wenfeng, a CEO and co-founder of this AI lab. It is a Chinese artificial intelligence company that develops open-source large language models (LLM). The company launched its first AI model in 2023, the same year of its foundation. It became the most downloaded free app on the App Store in the United States. On January 10, 2025, it launched its newest version R1, creating a storm in the U.S. market because it is superior to the other AI model’s capabilities, such as Meta, OpenAI, Microsoft, etc.

ChatGPT is a popular artificial intelligence Chatbot developed by OpenAI. It was founded by Sam Altman in 2022. It uses natural language processing (NLP) to mimic like humans. ChatGPT generates text outputs, such as articles, essays, and code. ChatGPT 4 is the strongest version of OpenAI’s ChatGPT. Furthermore, it is more expensive than DeepSeek. Also, its training requires extensive datasets from the internet.

DeepSeek vs ChatGPT: Features

1. Model Architecture

DeepSeek R1 uses a mixture-of-experts (MoE) architecture that involves over 671 billion parameters. However, 37 billion per query is needed to enhance the efficiency. ChatGPT involves a dense model architecture with a 1.8 trillion-parameter design needed to optimize the compatibility that helps create tasks.

2. Training Cost

DeepSeek is much cheaper than ChatGPT, whether it is a matter of training or use. Furthermore, DeepSeek was trained in 55 days on 2,048 Nvidia H800 GPUs at a total cost of $12 million. It is designed in such a way that it can handle technical queries and solve problems quickly, which makes it the best in the field of artificial intelligence and machine learning jobs. ChatGPT is built on the framework of OpenAI’s GPT-4o, which is expensive. Moreover, its training cost is about $500 billion.

3. Free Access

DeepSeek is an open-source large language model and also offers free-to-use premium features. However, ChatGPT 4 offers a premium version only, there is no possibility of using it for free. So, DeepSeek is better than GPT in this term.

4. Natural Language Output

The natural language output of DeepSeek is structured, which is also task-focused. However, it thinks like a human as it breaks down the prompt, solves the query one after another, and then responds. ChatGPT would be a better choice because it has a conversational and user-friendly language.

DeepSeek vs ChatGPT: Performance Benchmark Testing

It’s time to compare the performance benchmark testing of DeepSeek and ChatGPT. ChatGPT generates answers and solves complex problems. It also has the ability to generate AI images. Furthermore, DeepSeek answers technical questions and generates code. According to Geeks for Geeks, the metrics comparison is given below:

Metrics	DeepSeek R1	ChatGPT
Mathematics	90% accuracy	83% accuracy
Coding	97% success rate	89%
Reasoning	Reinforcement Learning (explains every step)	Solves multi-step problems
Multi-model tasks	Focuses only on text-based prompts	Supports both text and image-based prompts
Context Window	128K tokens	200K tokens

DeepSeek vs ChatGPT: Strengths and Weaknesses

DeepSeek and ChatGPT are both the strongest AI chatbots, but everything has some weaknesses. Likewise, these chatbots too have strengths and weaknesses. Let’s take a look at them:

	Strengths	Weaknesses
DeepSeek	Best for generating code (e.g., Python, Java) and solving complex equations	Lack the extensive community support
	Operational cost is lower with faster loading time	May not outperform highly specialized models
	Open-source model	Faces challenges on sensitive topics
ChatGPT	Understand the context and maintain conversations	Inaccurate or biased responses
	Better at generating short-form content compared to long-form	Limited features and information in the free version
	Lacks emotional intelligence	Faces challenges by handling multiple tasks

The Last Line

DeepSeek shaked the world of artificial intelligence. It is a free-to-use open-source large language model. Furthermore, since its launch, it has freaked out American billionaires because Nvidia lost $500 billion. But, it is the best large language model and even better than OpenAI’s ChatGPT, because it is a free-to-use model and offers better results compared to ChatGPT. However, the comparison of DeepSeek vs ChatGPT shows that both are best in their respective ways.

Frequently Asked Questions (FAQs)

Ques: Who is better, DeepSeek or ChatGPT?

Ans: DeepSeek and ChatGPT are best in their ways, but DeepSeek outperformed GPT for logical reasoning, coding, and solving mathematical problems.

Ques: Is ChatGPT the most powerful AI?

Ans: Yes, as of now, ChatGPT is one of the most powerful AIs.

Ques: What is the work of DeepSeek?

Ans: The work of DeepSeek is to develop open-source large language models.

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