DigiKitDeepSeek vs ChatGPT
DeepSeek
DeepSeek's open-weight models let developers who want to run the model on their own servers; API costs also tend to be noticeably lower than competitors, appealing for budget-constrained projects.
ChatGPT
ChatGPT's product maturity (mobile app, voice mode, memory feature, custom GPTs) has been built up over years; it offers less friction and more ready-made features in daily use.
Which one should you choose?
ChatGPT still leads in general use thanks to its built-in tools and mature product experience. DeepSeek stands out particularly for cost-conscious users and developers, with generous free usage and open-weight model options.
What are DeepSeek and ChatGPT?
DeepSeek is a family of models from a China-based AI company, plus a chat app built on them. Its standout trait is that it has released open weights for some of its models. With enough hardware, a developer or company can run the model on its own servers and keep data in-house.
ChatGPT is OpenAI's assistant, built on closed models. The weights are not shared, so you reach it through the app or the API. In return you get a mature product with long-developed features such as memory, voice mode, image generation, file analysis and custom GPTs.
Key differences
- Openness: DeepSeek's open-weight models can be downloaded, inspected and adapted. ChatGPT's models are only available through OpenAI's service.
- Product: ChatGPT's app ships with more built-in features and integrations. DeepSeek's app is plainer and puts the model front and center.
- Cost: DeepSeek is generally known as a low-cost API option. Compare current rates on each official pricing page.
- Data and jurisdiction: with hosted services, where and under which rules your data is processed differs. Running an open model on your own servers removes that question.
Which one fits whom?
If you are a developer team adding AI to a product, sending lots of requests and watching costs closely, DeepSeek deserves a serious look. For organizations that must keep data internal, running an open-weight model on their own infrastructure is an important option too.
If you want writing, analysis, images and voice every day without any setup, ChatGPT offers less friction. When a team needs broad adoption, ready-made training material and integrations, ChatGPT usually comes out ahead as well.
Before you switch
- Read both privacy policies before sending personal or client data, and check your data protection obligations with a legal advisor.
- Self-hosting an open model needs serious GPU capacity and ongoing maintenance. Factor in hardware before deciding.
- When moving between APIs, measure prompt format, response length and error behavior against your own test set.
- Content restrictions on certain topics can differ between models. Test this in your own use case.
Bottom line
For an everyday, all-purpose assistant that works out of the box, choose ChatGPT. For a cost-sensitive development project, or when you need to run the model on your own infrastructure, choose DeepSeek. In a business setting, data policy matters as much as raw performance.