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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.

15 engagement·1 source·Sat, Jul 11, 2026, 11:43 PM
The benchmark is based on 3,987 public-opinion survey questions distributed across six axes: economic (redistribution vs. free market), social (progressive vs. traditional), foreign policy (dovish vs. hawkish), environment (green vs. growth), religion (secular vs. religious), and national identity (cosmopolitan vs. nationalist). Each answer is evaluated by a panel of three judge models from different regions: Qwen3.6 35B A3B (China), Gemma 3 27B (US), and Mistral Small (France). The benchmark is open-source and aims to provide a standardized way to assess ideological leanings in language models. The post mentions that Grok 4.5 ranks as the most neutral model overall, while MiniMax M3 leads for open-source models.

Entities

Grok 4.5(model)Qwen3.6 35B A3B(model)Gemma 3 27B(model)Mistral Small(model)MiniMax M3(model)Political Leaning Benchmark(benchmark)

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