Run it yourself: what open weights really get you.
DeepSeek publishes its model weights, so you can run it on your own hardware. That unlocks privacy and control — at the cost of real engineering. Here is the honest trade-off.
01What "open-weight" actually means
You can download and run the model yourself — no per-token bill, full data control, and the ability to fine-tune. It does not mean the training data or process is open; it means the trained model is yours to deploy under its license. Read that license before commercial use.
02The hardware reality
The full models are large and need serious GPU memory — typically multiple high-end GPUs for the bigger variants. Smaller or quantized versions run on more modest hardware with some quality trade-off. Factor in serving infrastructure, not just the GPUs: batching, scaling, monitoring, updates.
Choose it when data cannot leave your environment (regulated industries, sensitive IP), when you need fine-tuning on private data, or when steady high volume makes owned compute cheaper than per-token API. For everything else, the hosted API is cheaper and far less work.