Which AI model? Make an infor­med choice.

PEAKPRIVACY / FREIHANDLABOR

Non-profit orga­ni­sa­ti­ons are faced with the ques­tion: which language model (LLM) is suita­ble for which task – and how can we avoid depen­dency? GPT‑4 excels in dialo­gue, Deep­Seek in text analy­sis, and Gemma 3 in effi­ci­ency. The choice depends on crite­ria such as accu­racy, data protec­tion, language skills, energy consump­tion, speed or cost.

What do we really need – and when?

Where resour­ces are limi­ted, it pays to be mindful: which task really requi­res a premium model? When is a simp­ler model suffi­ci­ent? And which data are allo­wed to be chan­nel­led where?

AI models are energy-inten­sive. Peak­Pri­vacy ther­e­fore relies on effi­ci­ent open-source models such as Mistral or Llama Swiss, which require signi­fi­cantly less compu­ting power compared to others and are opera­ted on Swiss servers. Data protec­tion is a central concern in phil­an­thropy as well. Peak­Pri­vacy allows you to select models accor­ding to secu­rity levels. Perso­nal data and sensi­tive project infor­ma­tion, for exam­ple, remain on Swiss servers in accordance with the GDPR and DSG.

Peak­Pri­vacy offers a model-inde­pen­dent solu­tion for this: depen­ding on the appli­ca­tion, the appro­priate model can be selec­ted and the prompt can be placed in a targe­ted manner. For foun­da­ti­ons and NPOs, this means: more effi­ci­ency, more control – and AI that adapts to the need, not the other way around.

More infor­ma­tion