Open-source benchmark evaluates LLM political bias across 6 axes using 3,987 survey questions
A new open-source benchmark uses 3,987 public-opinion survey questions across six axes (economic, social, foreign policy, environment, religion, national identity) to measure LLM political bias. Answers are judged by a panel of three models from different regions: Qwen3.6 35B A3B (China), Gemma 3 27B (US), and Mistral Small (France). The benchmark aims to provide a standardized way to assess ideological leanings in language models.
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