this post was submitted on 09 Feb 2025
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Overall, when tested on 40 prompts, DeepSeek was found to have a similar energy efficiency to the Meta model, but DeepSeek tended to generate much longer responses and therefore was found to use 87% more energy.

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[–] [email protected] 2 points 1 day ago (1 children)

Yeah, I was thinking diesel powered trains

[–] [email protected] 1 points 1 day ago (1 children)

The AI models use the same fuel for energy.

[–] [email protected] 3 points 1 day ago* (last edited 1 day ago)

Yes, sorry, where I live it's pretty normal for cars to be diesel powered. What I meant by my comparison was that a train, when measured uncritically, uses more energy to run than a car due to it's size and behavior, but that when compared fairly, the train has obvious gains and tradeoffs.

Deepseek as a 600b model is more efficient than the 400b llama model (a more fair size comparison), because it's a mixed experts model with less active parameters, and when run in the R1 reasoning configuration, it is probably still more efficient than a dense model of comparable intelligence.