DeepSeek R1 is shaking up the AI world! It’s a powerful open-source AI model that rivals ChatGPT while being cheaper, faster, and even self-hostable.
Today I’ll be quickly breaking down why DeepSeek R1 is all the hype, how it compares to ChatGPT, and how you can install it (self-hosted) on Windows in minutes!
So whats all this deepseek fuss about and how does it compare to ChatGPT?
DeepSeek R1 vs. ChatGPT: A Head-to-Head Comparison
The AI landscape is evolving rapidly, and DeepSeek R1 has entered the scene as a serious competitor to ChatGPT. With its open-source nature, self-hosting capabilities, and performance claims, DeepSeek is drawing attention from AI enthusiasts and developers alike. But how does it really stack up against ChatGPT? Let’s break it down and let you decide which is the best fit for your needs.
1. PERFORMANCE: SPEED VS. DEPTH
DeepSeek R1 is designed for speed and efficiency. It’s optimized for quick responses, making it a strong choice for tasks that require rapid processing, such as data analysis and structured queries. Some early tests suggest that DeepSeek can outperform ChatGPT in raw speed and accuracy for certain technical tasks. However, ChatGPT has been praised for its nuanced, conversational responses, making it a better choice for more in-depth discussions and creative writing.
DeepSeek Strengths: Faster response times, excels in structured queries.
ChatGPT Strengths: More natural conversational abilities, better for in-depth discussions.
2. SELF-HOSTING: CONTROL VS. CONVENIENCE
A major differentiator is that DeepSeek R1 can be self-hosted. This means users have complete control over their AI, data privacy, and customization. For businesses or developers concerned about data security, this is a huge plus. In contrast, ChatGPT is cloud-based, requiring reliance on OpenAI’s servers, which offers ease of use but less control.
DeepSeek Strengths: Full control, better privacy, adaptable to specific infrastructure needs.
ChatGPT Strengths: No setup required, hassle-free cloud-based accessibility.
3. COST: FREE VS. SUBSCRIPTION-BASED
DeepSeek R1 is open-source and free to use, making it an attractive option for those looking to experiment without financial constraints. ChatGPT has a free tier but comes with usage limits, and for access to the most advanced versions, a paid subscription is required.
DeepSeek Strengths: Completely free and open-source.
ChatGPT Strengths: Offers a polished experience with premium features via a paid plan.
4. CUSTOMIZATION & FLEXIBILITY
Since DeepSeek R1 is open-source, users can modify and tailor the model to their specific needs, whether for enterprise applications or personal projects. ChatGPT, on the other hand, is a closed system, meaning users can interact with it but cannot modify its core functionality.
DeepSeek Strengths: Highly customizable and flexible for unique applications.
ChatGPT Strengths: Well-optimized out of the box, with consistent performance.
FINAL THOUGHTS: WHICH ONE IS RIGHT FOR YOU?
Both of these AI Chat-Bot juggernaughts are neck and neck with each model having its strengths depending on what you’re looking for.
If you prioritize speed, privacy, and customization, DeepSeek R1 is a solid option.
If you prefer a polished, conversational AI with minimal setup, ChatGPT remains a great choice.
As AI technology continues to evolve, the best choice will depend on your specific use case. Have you tried both? Let us know which one worked better for you!
Ok So How Do I Install deepseek-r1 On Windows
Step 1 – download and install Docker on your Windows machine
Step 2 – download and install Ollama on your Windows machine
Step 3 – open powershell and run this command to install deepseek-r1 8b:
ollama run deepseek-r1:8b
Step 4 – we need to connect OpenWebUI to Ollama so that we have a front end ui to interact with our chatbot. OpenWebUI, at this time, does not run on Windows directly (it’s for Linux) and so we need to containerize it with Docker. Super simple, all you have to do is run this command (note – ONLY for windows running nvidia GPU’s):
docker run -d -p 3000:8080 –gpus all –add-host=host.docker.internal:host-gateway -v open-webui:/app/backend/data –name open-webui –restart always ghcr.io/open-webui/open-webui:cuda
Step 5 – Open your web browser and navigate to: http://localhost:3000/auth
Step-by-step video guide ->
how to install deepseek-r1 on windows server
how to install deepseek-r1 on windows
step by step guide on how to install deepseek-r1 on windows
deepseek-r1 installation on windows tutorial