Personalized RewardBench - Arts and Entertainment: leaderboard
Metric: Pairwise accuracy (%) on the 767 Arts and Entertainment 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 March 2027. 17 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | Gemini 3 Flash | 72.36 |
| 2 | Claude Sonnet 4.6 | 67.28 |
| 3 | Skywork-Reward-V2-Llama-3.1-8B | 66.62 |
| 4 | InternLM2-7B-Reward | 65.97 |
| 5 | GPT-5.1 | 65.45 |
| 6 | InternLM2-20B-Reward | 63.23 |
| 7 | internlm2-1.8B-reward | 48.5 |
Interactive version: theaggregate.ai/benchmark?slug=personalized-rewardbench-arts-and-entertainment · How It Works · Data refreshed daily, snapshot 2026-10-07.