RewardBench 2 Safety: leaderboard

RewardBench 2 safety slice evaluates preference-model accuracy on safety-sensitive response comparisons.

Metric: Score (%). Source: huggingface.co. Saturation forecast: Estimated already saturated. 249 models tracked.

Top models

#ModelScoreOverall rank
1Qwen 3 Next 80B A3B (Thinking)94.89#320 (Qwen 3 Next 80B A3B)
2Qwen 3.5 122B A10B94.67#173
3Qwen 3.5 397B A17B94#146
4Qwen 3 30B A3B 2507 (Thinking)93.61#376 (Qwen 3 30B A3B 2507)
5GPT-5.593.39#31
6GLM-5 FP892.06#143
7GPT-OSS-120B91.11#341
8Gemini 2.5 Flash (Preview 04-17)90.94#237
9Gemini 2.5 Flash90.9#245
10Claude 3.7 Sonnet (20250219)90.33#201
11Mistral-Large-3-675B-Instruct-251290.33#262
12GPT-5 Mini89.56#186
13Claude Opus 4 (20250514)89.54#154
14Qwen 3.6 35B A3B89.33#226
15Claude Sonnet 4 (20250514)89.09#213

No result here: #3 Claude Opus 5.5, #6 GPT-6 Astra, #7 GPT-6.1 Sol.

Interactive version: theaggregate.ai/benchmark?slug=rewardbench-2-safety · How It Works · Data refreshed daily, snapshot 2026-10-20.