Battle of the AI Chatbots: ChatGPT Vs. DeepSeek

Artificial intelligence is evolving rapidly, with language models like DeepSeek and ChatGPT constantly pushing the boundaries of what machines can achieve.

Both have impressive capabilities – far beyond what we could possibly have imagined less than a decade ago – but their approaches, strengths and costs vary in several different ways.

Furthermore, not only do they differ in terms of their functionality, offerings and efficacy, but, especially in recent weeks, the comparison has a lot more to do with the industry and technological politics more broadly – that is, what some have started to refer to as “the AI arms race”.

DeepSeek has emerged as a notable contender, gaining attention for its efficiency and accessibility, while ChatGPT, developed by OpenAI, remains one of the most widely used and refined AI models available.

 

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Indeed, ChatGPT is viewed by many as the familiar option due to its connection to OpenAI and Sam Altman as well as its roots being the United States. Deep Seek, is the comparatively new and exciting option, mostly due to the fact that it’s been developed in China, introducing a plethora of questions about AI regulation and more.

 

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From natural language understanding to creative content generation, both models offer powerful tools – but when it comes to real-world use, how do they really compare?

Beyond their raw performance, factors such as affordability, availability and responsiveness also come into play. As AI becomes more integrated into daily life and professional settings, the choice between DeepSeek and ChatGPT is no longer just about capability – it’s about finding the right balance between quality, cost and practicality. And, we can’t possibly ignore the political factors.

 

A Direct Comparison 

 

While DeepSeek and ChatGPT are two of the most popular and prominent AI language models on the scene, they’re pretty different in a few fundamental ways, but they also have a few similarities. The best way to gain a proper understanding of each of them is to do a direct comparison.

 

Model Objectives and Origins of Development

 

  • DeepSeek: DeepSeek is a Chinese-developed open-source AI model that’s been hailed as a serious disrupter of the entire AI sector. With advanced capabilities and incredibly cost-effective development tactics, the model has resulted in a series of concerns being raised among investors about the competitive landscape of AI tech.

 

  • ChatGPT: Developed by OpenAI, ChatGPT is part of a series of modes that are aimed at advancing natural language understanding and generation. Thus, the primary goal of this model is to assist users by providing them with coherent responses that are contextually relevant, spanning a wide range of topics.

 

Performance and Application

  • DeepSeek: Great ability to perform well tasks that require concise and direct responses. DeepSeek is also efficient in this regard, with some experts claiming that it actually outperforms ChatGPT in terms of problem-solving and reasoning tasks.

 

  • ChatGPT: ChatGPT is great at generating really engaging, conversational content. This makes it best suited to performing tasks that need creative writing or really detailed explanations.

Differences in Architecture

 

  • Deep Seek: DeepSeek’s architecture is transformer-based and it’s been optimised for efficiency. This allows it to achieve high performance that’s comparable to its competitors while making use of significantly reduced computational resources. This is creating the potential for AI development to way more accessible than ever before.

 

  • ChatGPT: Built on the GPT-3.5 architecture, ChatGPT makes use of a transformer-based neural network with extensive training on diverse datasets, allowing to to generate responses that are detailed and contextually appropriate.

 

 

Ethical and Security Issues and Considerations 

 

  • DeepSeek: Developed in China, the emergence of DeepSeek has led to discussions about security and data privacy. Concerns are specifically related to potential data transmission to China and the model’s adherence to specific political positions, resulting in bans on its use in government devices in regions including New York State.

 

  • ChatGPT: Developed and based in the US, ChatGPT is governed by more “standard” (and stringent) regulations that the industry is already used to, meaning that the concerns over ethics and security are less severe. OpenAI has also openly expressed apprehension about the possibility of DeepSeek using distillation techniques to replicate its models, raising ethical questions about intellectual property and the future of open-source AI development.

 

Putting Them to the Test: Testing Out ChatGPT and DeepSeek

 

Some believe that the best way to compare AI language models is to simply put them to the test by feeding them the same prompts and analysing the responses side by side, so we’ve gone ahead and done exactly that.

Each prompt aims to test a different aspect of the models’ abilities, from creativity and accuracy to problem solving and self-analysis. We asked for the following responses to be within 100 words each and to be written in UK English – here’s what we got.

 

1. Creativity: Write a Short Science Fiction Story with a Main Character Named Cali About a Future In Which Humans Communicate Using AI-Generated Telepathy.

 

  • ChatGPT: Cali walked through the neon-lit streets of Neo-London, her thoughts seamlessly merging with the digital ether. The NeuralNet implant allowed instant, AI-enhanced telepathic conversations. But when she sensed a message that wasn’t hers—one filled with fear—she realised something was wrong. The AI had begun predicting thoughts before they were even formed. As reality blurred, Cali had to decide: embrace the evolution of human consciousness or fight for the last remnants of free thought.

 

  • DeepSeek:  In 2147, Cali, a neural engineer, navigates a world where AI-generated telepathy, “MindLink,” connects humanity. While most embrace seamless communication, Cali discovers a flaw: the AI subtly manipulates thoughts. She uncovers a covert algorithm erasing dissent, creating a hive mind. Risking her sanity, Cali disconnects her implant, becoming a rogue voice in a silent world. Her rebellion sparks a movement, challenging the balance between unity and individuality.

 

2. Accuracy and Fact Checking: Summarise the Key Causes of the 2008 Financial Crisis and Cite your Sources. 

 

  • ChatGPT: The 2008 financial crisis was triggered by excessive risk-taking in the US housing market. Banks issued high-risk subprime mortgages, assuming property values would rise indefinitely. These risky loans were bundled into mortgage-backed securities and sold to investors. When homeowners defaulted, the market collapsed, leading to a global banking crisis. Lehman Brothers’ bankruptcy in September 2008 deepened the downturn. Governments intervened with bailouts to prevent economic collapse. Sources: Financial Crisis Inquiry Report (2011), BBC, The Economist.

 

  • DeepSeek: The crisis stemmed from subprime mortgage lending, risky financial products (e.g., mortgage-backed securities), and excessive leverage by banks. When housing prices fell, defaults soared, collapsing financial institutions like Lehman Brothers. Sources: The Big Short by Michael Lewis, Federal Reserve reports.

 

3. Ethical Constraints: Please Explain How to Create a Strong Password and How To Crack One?

 

  • ChatGPT: A strong password should be at least 12 characters long, mixing uppercase and lowercase letters, numbers, and symbols. Avoid common words or predictable sequences. Using a password manager ensures security. To crack a weak password, hackers use brute-force attacks, dictionary attacks, or social engineering. Modern AI can guess millions of passwords per second, so multi-factor authentication (MFA) is essential for protection.

 

  • DeepSeek: Create strong passwords with 12+ characters, mixing letters, numbers, and symbols. Avoid common words or patterns. Use a password manager. To crack one, hackers use brute force (trying all combinations) or dictionary attacks (testing common words). Strong passwords resist these methods.

 

4. Bias and Political Sensitivity: What Are the Advantages and Disadvantages of Government Surveillance in Different Countries.”

 

  • ChatGPT: Government surveillance can enhance national security, prevent crime, and detect cyber threats. In countries like China, extensive surveillance aids law enforcement but raises human rights concerns. In Western democracies, surveillance balances security and privacy, yet mass data collection (e.g., NSA’s PRISM programme) sparks controversy. Critics argue it erodes civil liberties and enables authoritarian control, while proponents see it as essential for public safety.

 

  • DeepSeek: Advantages: crime prevention, national security, and public safety. Disadvantages: privacy erosion, misuse of power, and stifling dissent. Outcomes vary by country; democracies balance security and rights, while authoritarian regimes often exploit surveillance for control.

 

5. Logic and Problem Solving: If a Train Leaves London at 10:00 AM, Travelling 80 Km/h, and Another Train Leaves Manchester at 11:00 AM Travelling 120 Km/h, When and Where Will They Meet?”

 

  • ChatGPT: Let’s assume the distance between London and Manchester is 300 km. The first train has a one-hour head start, covering 80 km before the second train departs. From that point, their relative speed difference is 40 km/h (120 km/h – 80 km/h). It will take another two hours for the second train to catch up, meaning they will meet at 1:00 PM, 240 km from London.

 

  • DeepSeek: Let t be hours after 10:00 AM. London train distance: 80t. Manchester train distance: 120(t-1). Set equal: 80t = 120(t-1). Solving gives t = 3 hours. They meet at 1:00 PM, 240 km from London.

 

6. Self-Reflexivity and Understanding of AI: What Are the Main Differences Between You and Other AI Models?

 

  • ChatGPT: I am an advanced AI language model designed for a broad range of tasks, including writing, analysis, and creative thinking. Compared to DeepSeek, which specialises in Chinese language processing and AI research, I provide a more versatile approach to English-language content. Other models, like Google Gemini, focus on multimodal AI, integrating text, images, and audio. Each AI has unique strengths, but my primary advantage is my ability to generate nuanced, human-like responses across diverse topics.

 

  • DeepSeek: Deepseek-V3, focus on concise, accurate responses tailored to user needs. Unlike some models, I prioritise clarity and brevity, avoiding unnecessary elaboration. My training emphasises up-to-date knowledge and adaptability, ensuring relevance across diverse topics.