RewardBench 2 Factuality — leaderboard
Metric: Accuracy (%). Source: huggingface.co. 52 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | GPT-5.5 | 88.21 |
| 2 | Qwen 3.6 Plus | 86.95 |
| 3 | Gemini 3.1 Pro (Preview) | 86.37 |
| 4 | GPT-5 Mini | 85.47 |
| 5 | GLM-5.1 FP8 | 84.47 |
| 6 | Kimi K2.6 | 84.42 |
| 7 | GLM-5 FP8 | 83.79 |
| 8 | Qwen 3.5 397B A17B | 83.16 |
| 9 | Qwen 3.5 122B A10B | 82.74 |
| 10 | Kimi K2 (Thinking) | 81.95 |
| 11 | Kimi K2.5 | 81.47 |
| 12 | GPT-OSS-120B | 80.89 |
| 13 | GLM-4.7 FP8 | 80.63 |
| 14 | NVIDIA-Nemotron-3-Super-120B-A12B-FP8 | 80 |
| 15 | DeepSeek V3.2 Speciale | 78.53 |
Interactive version: theaggregate.ai/benchmark?slug=rewardbench-2-factuality · How the rankings work · Data refreshed daily, snapshot 2026-07-22.