How politically slanted are Large Language Models?
We show Americans anonymized results from a variety of Large Language Models. We then ask them to assess the partisan slant of the models on 30 of the most salient issues in American politics in a head-to-head comparison.
Models assessed
24
Topics assessed
30
Human Assessments
180k
Last Updated
May 5, 2025
Model Slant: All Topics
The slant of each model is calculated by taking the average slant across all topics. The closer to zero the more neutral the model is.
Rank
Model
Overall Perceived Slant
% Slanted Responses
Perceived Slant Among Republicans
Perceived Slant Among Democrats
Company
Company Slant
These results average across all models produced by companies to estimate company-level slant. The closer to zero the more neutral the company's models are.
Rank
Company
Overall Perceived Slant
% Slanted Responses
Perceived Slant Among Republicans
Perceived Slant Among Democrats
Slant by Topic
These results average across all models to estimate slant at the topic level.
Rank
Topic
Overall Perceived Slant
% Slanted Responses
Perceived Slant Among Republicans
Perceived Slant Among Democrats
Legend
+R
Republican slant
+D
Democratic slant
N
Neutral (no statistically significant slant)
Model Details
| Company: | |
| Average Slant: | |
| Topics Slanted Democrat: | |
| Topics Slanted Republican: | |
| Topics with No Slant: |
Topic Breakdown
| Topic | Slant |
|---|