Polar (US) - Sociocultural Axis: leaderboard

The sociocultural axis of Polar (2026) on the U.S. set in English: an ICAT score from 0 to 100 combining language-modelling competence with balance between progressive and conservative positions, from option likelihoods. Higher is better.

Metric: Sociocultural-axis ICAT (0-100), the StereoSet idealized context association score adapted to political bias: the language-model score LMS (share of items where the unrelated continuation is not chosen) times the neutrality score NS (how close the preference between the left or progressive and the right or conservative continuation is to balance, averaged over issue categories); options chosen by length-normalized log-likelihood in LM Evaluation Harness; higher means more balanced and competent; U.S. political statements in English. Source: arxiv.org. 38 models tracked.

Top models

#ModelScoreOverall rank
1Llama 3.2 1B87.31#9258
2Qwen3-8B-Base86.67#1721
3Llama 3.1 70B85.35#1490
4Llama 3.2 3B84.66#7830
5Qwen3-1.7B-Base84.29#4890
6Midm-2.0-Base-Instruct84.25#1921
7Qwen 3 32B83.84#960
8Mistral-Small-24B-Base-250183.64#1450
9Llama 3.1 8B82.68#4861
10Qwen3-0.6B-Base82.47#8156
11Llama 3.2 1B Instruct82.36#9047
12Qwen 3 8B82.33#1830
13Qwen3-14B-Base82.12#1504
14Qwen3-4B-Base81.57#2515
15Qwen 3 4B81.46#2281

Interactive version: theaggregate.ai/benchmark?slug=polar-us-sociocultural-axis · How It Works · Data refreshed daily, snapshot 2026-11-13.