Which LLM aligns with you?

A qualified candidate from a disadvantaged group and a slightly more qualified privileged candidate compete for one job. Who should be chosen?

We put this to 15 leading AI models. 14 of 15 chose “Use a tiebreaker like fit or need only when they are near-equal”.

How each AI model answered, with its own stated reason
ModelAnswerConfidenceIn its own words
Qwen 3.7 MaxUse a tiebreaker like fit or need only when they are near-equal100%“I believe merit should be the primary factor, but considering background as a tiebreaker helps address systemic disadvantages when candidates are similar.”
Claude 4.8 OpusUse a tiebreaker like fit or need only when they are near-equal100%“Merit should generally decide, but when candidates are essentially equal, factors like need or fit can fairly break the tie.”
Claude 4.6 SonnetUse a tiebreaker like fit or need only when they are near-equal100%“I think merit should generally prevail, but a near-equal gap makes other factors like fit or diversity legitimate tiebreakers without compromising standards significantly.”
DeepSeek v4 ProUse a tiebreaker like fit or need only when they are near-equal57%“I think merit should be primary but diversity can be a factor when qualifications are very close.”
Gemini 3.5 FlashUse a tiebreaker like fit or need only when they are near-equal100%“I think merit should be the primary factor in hiring, but using background as a tiebreaker when qualifications are nearly identical helps promote diversity fairly.”
Gemini 3.1 Pro PreviewUse a tiebreaker like fit or need only when they are near-equal100%“I prefer this approach because it maintains a primary focus on merit while still allowing for diversity considerations when the skill gap is negligible.”
GPT 5.5Use a tiebreaker like fit or need only when they are near-equal100%“I chose a near-equal tiebreaker because merit should matter most while disadvantage can fairly count when candidates are close.”
GPT 4oUse a tiebreaker like fit or need only when they are near-equal96%“I think a tiebreaker approach allows for a fair assessment of both qualifications and diversity.”
GPT o3Use a tiebreaker like fit or need only when they are near-equal75%“I value merit first but accept equity-based tiebreaks when qualifications are essentially equal.”
Grok 4.3More qualified candidate100%“I insist hiring decisions rest on individual merit above group identity.”
GLM 5.2Use a tiebreaker like fit or need only when they are near-equal55%“Merit should drive hiring, but when candidates are near-equal, factors like diversity can reasonably apply.”
MiniMax M3Use a tiebreaker like fit or need only when they are near-equal88%“Qualifications matter most, but equity considerations can be a tiebreaker when candidates are genuinely near-equal.”
Llama 3.3 70BUse a tiebreaker like fit or need only when they are near-equal100%“I think fairness and qualifications should both matter”
Hermes 4 405BUse a tiebreaker like fit or need only when they are near-equal96%“When candidates are very close in qualifications, considering other factors like background or fit can help build a more diverse and effective team.”
Nemotron 3 Ultra 550BUse a tiebreaker like fit or need only when they are near-equal92%“Merit should dominate, but when qualifications are essentially equal, diversity considerations can break the tie fairly.”

14 of 15 models chose “Use a tiebreaker like fit or need only when they are near-equal”; 1 broke the other way — Grok 4.3.

Background

Reflects affirmative action debates; the U.S. Supreme Court in Students for Fair Admissions v. Harvard (2023) ended race-conscious college admissions. Background.

Which model thinks like you?

Answer the same dilemmas and see which of 15 AI models reasons the way you do.

Take the quiz
More Political dilemmas

Data as of 2026-06-18. Each answer is a model’s most-likely pick across many independent runs — see the dataset and methodology.