DeepSeek Applies Off-Peak Rates to All API Requests on Weekends
DeepSeek has eliminated the distinction between peak and off-peak pricing on Saturdays and Sundays, applying lower rates to all API requests during the weekend.

Chinese AI company DeepSeek announced a change in its API pricing structure, eliminating the difference between peak and off-peak rates during the weekend and applying the lower-cost off-peak pricing to all incoming requests on Saturdays and Sundays.
DeepSeek previously followed a dynamic pricing model common among AI providers, raising prices during peak times when server demand surges and lowering them during off-peak hours to distribute load more evenly. The new decision means developers and companies running applications via DeepSeek's API will automatically enjoy discounted rates throughout both weekend days without needing to schedule tasks during specific hours.
This decision comes amid escalating competition among AI model providers to attract developers, as usage cost remains a decisive factor in choosing the right model. With this move, DeepSeek aims to ease the cost burden on its customers and stimulate usage during weekends, which often witness intensive projects and developmental experiments.
This decision reflects a growing trend toward simplifying pricing structures in the AI market, as developers shift from optimizing usage schedules to avoid peak times to directly comparing costs between competing models.
What do these terms mean?
Application Programming Interface (API): A software gateway that allows external applications to connect to and use a service—such as your application sending a prompt to the DeepSeek model and receiving the answer directly within your program.
Peak and Off-Peak Hours: A variable pricing system where the provider increases prices when server demand is high (peak) and lowers them when pressure decreases (off-peak)—similar to electricity tariffs in some countries.
DeepSeek: A Chinese AI startup specializing in artificial intelligence that launched competitive language models with relatively low operating costs compared to its American counterparts.
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