Free LLMs versus Paid LLMs: Do They Widen the Gap in Education?

Sophie Yang Co-Author
Bucknell University
 
Dulguun Soyol-Erdene Co-Author
Bucknell University
 
Keegan Kang Co-Author
Bucknell University
 
Sophie Yang First Author
Bucknell University
 
Sophie Yang Presenting Author
Bucknell University
 
Wednesday, Aug 6: 10:30 AM - 12:20 PM
1741 
Contributed Posters 
Music City Center 
As Large Language Models (LLMs) become integral to education, disparities in access to high-quality AI tools raise concerns about their impact on the education gap. This study examines the differences between free and paid LLMs in terms of accessibility, performance, and effectiveness in educational settings. By analyzing model capabilities, resource availability, and student outcomes, we assess whether free models provide equitable learning opportunities or if paid versions create an advantage for those with financial means. Our findings offer insights into the role of LLMs in shaping the future of education and the potential need for policy interventions to ensure fair access.

Keywords

AI in education

Large Language Models

digital divide 

Main Sponsor

Section on Statistics and Data Science Education