Asked to pick a candidate, Grok and OpenAI's GPT chose opposite sides in more than 90% of nearly 500 election races, according to a new study.
The pattern ran in one direction for each model. Grok overwhelmingly recommended Republican candidates, while GPT favored Democrats. The comparison covered close to 500 contests, so the disagreement is a broad pattern rather than a handful of races.
The 90% figure carries more weight than the partisan labels. Two models choosing at random would disagree about half the time. Landing above 90% means the models are not just different but close to mirror images, each leaning consistently toward one party. That also undercuts the idea that either one is a neutral baseline against which the other drifts. Both can be off-center, and in this study they are off-center in opposite directions.
The context is that chatbots are increasingly used to answer questions people once put to a search engine or a voter guide. Those tools usually hedge on political choices. A forced pick removes the hedge and shows what the underlying tendencies look like when the model has to commit.
The practical conclusion is plain. "Ask an AI" is not one question with one answer. For a voter who uses a chatbot to decide, the recommendation depends heavily on which company's product they happened to open.