Personalized RewardBench - Society and Culture: leaderboard
Metric: Pairwise accuracy (%) on the 1,074 Society and Culture test pairs of Personalized RewardBench, where the chosen response follows the user-specific rubric aspects and the rejected one avoids them while keeping general quality (human-validated); scalar models must score the chosen response strictly higher, generative models pick one of the two in shuffled order; no user profile in the input; higher is better. Source: arxiv.org. Saturation forecast: Around January 2027. 17 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | Gemini 3 Flash | 75.51 |
| 2 | InternLM2-7B-Reward | 74.95 |
| 3 | Claude Sonnet 4.6 | 73.56 |
| 4 | Skywork-Reward-V2-Llama-3.1-8B | 71.88 |
| 5 | InternLM2-20B-Reward | 67.13 |
| 6 | GPT-5.1 | 66.76 |
| 7 | internlm2-1.8B-reward | 55.77 |
Interactive version: theaggregate.ai/benchmark?slug=personalized-rewardbench-society-and-culture · How It Works · Data refreshed daily, snapshot 2026-10-07.