ChatGPT and DeepSeek are two of the most talked-about AI assistants, and they are often compared. They overlap a great deal: both answer questions, draft text, write and explain code, and work through problems step by step. Where they differ is in who makes them, how open they are, what they cost to build on, and what happens to the data you type in. Those differences matter more to a business than which one wins a single test.
One caution before the detail. Both products change every few months, and any benchmark or price quoted in an article goes out of date quickly. So this comparison sticks to the things that have stayed true, and points you at what to check for yourself.
Who makes them
ChatGPT is made by OpenAI, a US company, and launched in November 2022. It is the product most people mean when they say "AI chatbot", and it sits on top of OpenAI's own models, which are closed: you use them through the ChatGPT app or OpenAI's paid API, and the model itself never leaves OpenAI's servers.
DeepSeek is made by a Chinese AI company of the same name, based in Hangzhou. It drew worldwide attention in January 2025, when it released its R1 reasoning model with open weights and its app climbed the app store charts. Open weights is the important part: anyone can download the model and run it on their own hardware, rather than only through DeepSeek's app.
Reasoning and everyday answers
For ordinary questions, drafting and summarising, the gap between the two is smaller than the headlines suggest. Both produce fluent, well structured text, and both will confidently state things that are wrong. Neither should be the final word on a fact, a figure or a regulation.
Both now offer a reasoning mode, where the model works through a problem in steps before answering. It is slower, and noticeably better at maths, logic and multi-step tasks. DeepSeek's R1 made a point of showing its working as visible text, which some people find useful for checking how it reached an answer and others find simply long.
Where ChatGPT pulls ahead is breadth. Depending on the plan, it handles images, files, voice, web search and image generation in one place, and it is built into a lot of other software. DeepSeek's own app is plainer and centred on text.
Code
Both are genuinely useful for code: explaining an unfamiliar function, writing a first draft of a script, suggesting why something fails. The quality of the answer depends far more on how clearly the problem is described than on which assistant receives it. Give either one the error message, the relevant code and what you expected to happen, and the answer improves sharply.
The same rule applies to both: read what it writes before you run it. Generated code can call functions that do not exist, skip error handling, or solve a slightly different problem from the one you asked about.
Cost
For an individual, both have a free tier, and ChatGPT sells paid plans that unlock stronger models and higher limits. The bigger difference is for anyone building on the API. DeepSeek has generally priced its API well below comparable OpenAI models, which is a large part of why developers paid attention to it.
Because the weights are open, DeepSeek's models can also be run on your own servers or through other cloud providers, where you pay for the hardware rather than per request. That is only cheaper at scale and with someone who knows how to run it. Check the current price pages for both before you commit, because prices on both sides have moved more than once.
Openness and control
This is the clearest real difference. With ChatGPT you rent access to a model you cannot inspect or move. With DeepSeek you can take the model, run it privately, and adapt it to your own use, including smaller versions that run on modest hardware.
Open weights are not the same as an open company, though. DeepSeek's hosted app is reported to decline or deflect some topics that are politically sensitive in China, and that behaviour belongs to the service as well as the model.
Privacy, and why it matters in the UAE
DeepSeek's privacy policy says data from its app and website is stored on servers in China. Several regulators and governments have restricted its use, most often on official devices, over how that data is handled. OpenAI stores data in the US, and its business plans state that customer data is not used to train its models by default.
For a business in Dubai, the practical rule is the same whichever you choose:
- Do not paste client names, phone numbers, contracts or anything else personal into the free or personal tier of any AI tool.
- If staff use AI for client work, use a business plan with clear data terms, or a model you host yourself.
- If you handle personal data at scale, check your obligations under the UAE's data protection law with a qualified adviser. This article is not legal advice.
Where each one still falls down
ChatGPT
- States wrong facts with complete confidence, especially on recent events and local detail.
- Closed models: you cannot run it privately or move to your own infrastructure.
- The best models and higher limits sit behind paid plans.
DeepSeek
- Data from the hosted app is stored in China, which rules it out for a lot of client work.
- Fewer built-in features than ChatGPT, and a smaller set of integrations.
- Running it yourself needs technical skill and suitable hardware.
ChatGPT vs DeepSeek: which to reach for
If you want one assistant for writing, research, images and everyday tasks, with business terms you can show a client, ChatGPT is the simpler choice. If you are a developer or a company that wants low API costs, or wants to run a capable model on its own servers so data never leaves them, DeepSeek's open models are worth serious attention.
For marketing work in particular, such as first drafts of ad copy, briefs, summaries of a long report or variations on a headline, either will do the job, and the habit that matters is checking the output rather than choosing the brand. For more tools in the same vein, see AI tools every creator should try.