RewardBench — leaderboard
Reward model benchmark evaluating preference models across chat, hard chat, safety, reasoning, and prior preference-evaluation sets.
Metric: Score (%). Source: huggingface.co. Status: saturation imminent. 330 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | Skywork-Reward-Gemma-2-27B-v0.2 | 94.26 |
| 2 | ArmoRM-Llama3-8B-v0.1 | 88.6 |
| 3 | Gemini 1.5 Pro (0514) | 88.2 |
| 4 | Gemini 1.5 Pro (Sept) | 86.78 |
| 5 | GPT-4o (2024-08-06) | 86.73 |
| 6 | GPT-4 Preview (0125) | 84.34 |
| 7 | Claude 3.5 Sonnet (20240620) | 84.17 |
| 8 | Llama 3.1 405B Instruct | 84.12 |
| 9 | Llama 3.1 70B Instruct | 84.05 |
| 10 | GPT-4 Turbo | 83.95 |
| 11 | GPT-4o (2024-05-13) | 83.27 |
| 12 | Gemma 2 27B (IT) | 80.9 |
| 13 | Gemini 1.5 Flash (001) | 80.54 |
| 14 | Claude 3 Opus (20240229) | 80.08 |
| 15 | GPT-4o Mini (2024-07-18) | 80.07 |
Interactive version: theaggregate.ai/benchmark?slug=rewardbench · How the rankings work · Data refreshed daily, snapshot 2026-07-22.