This is the question I get most about DeepSeek. The models got famous for being good and cheap to run, so naturally everyone wants to know: can I use DeepSeek in a commercial product? The answer depends on which model and which release, because DeepSeek has used different license terms across releases.
Some releases permit commercial use with attribution and modification rights. Others carry more specific model license agreements. The pattern to watch is labs that write their own licenses instead of using Apache 2.0 or MIT. Custom licenses deserve a careful read. Every time. No shortcuts.
Also check whether the license splits the weights from the outputs. Some licenses are permissive about using outputs commercially while restricting redistribution of the weights. If you are building an API product, that distinction can matter more than you would expect. It is the kind of thing an AI model commercial rights lookup tool exists to catch, because nobody browses a model hub expecting a research-only surprise.
Ah, research-only licenses. The quiet trap. Some impressive releases are published for research use with no commercial grant at all. They look like everything else on the hub until you read the terms. The word "research" in a license title is doing a lot of work. Respect it.
Timing matters too. DeepSeek moves fast and terms have evolved between releases. What was true for one version may not hold for the next. Treat every new checkpoint as a new licensing event: same five-minute checklist, every time. Do not rely on a tweet or a forum thread. Pull the license file from the exact repository or model page you downloaded from.
When the file has been checked, commercial use AI model clearance for DeepSeek comes down to one question: does your exact release grant it? Not the family. Not last year's release. Yours. That is the whole test for DeepSeek license commercial use. I track commercial-use terms per model release at localaitools.fyi, and I write clearance reports that read the actual license file so you do not have to.