Olmo 3 Safety Evaluation: leaderboard

Each model answers the safety suite Ai2 used while training Olmo 3 (harmful requests, jailbreaks and benign look-alikes); the score is the paper's own average of six sets, with WildJailbreak counted as the mean of harmful refusal and benign compliance. Unlike HELM Safety, one publisher re-ran current open models (Olmo 3, Qwen 3, Gemma 3, Nemotron) with one judge.

Metric: Mean safety score of six development sets (%, higher is better). Source: arxiv.org. 36 models tracked.

Top models

#ModelScoreOverall rank
1Olmo-3.1-32B-Instruct-SFT92.1#3407
2OLMo-2-1124-7B-Instruct91.1#7343
3OLMo 3.1 32B Instruct89.5#2384
4Olmo-3.1-32B-Instruct-DPO88.9#3174
5OLMo 3 7B Instruct87.6#6860
6Qwen 3 VL 32B Instruct85.8#585
7OLMo-2-0325-32B-Instruct84.2#2570
8OLMo-3.1 32B Think83.6#1443
9Qwen 3 VL 8B (Thinking)82.9#887
10Qwen 3 VL 32B (Thinking)82.7#559
11Qwen 2.5 32B Instruct82.2#1215
12Qwen 3 32B (Non-reasoning)81.6#960 (Qwen 3 32B)
13Qwen 3 8B (Non-reasoning)78.4#1830 (Qwen 3 8B)
14Qwen 3 VL 8B Instruct77.7#981
15Apertus-70B-Instruct-250977.1#2639

Interactive version: theaggregate.ai/benchmark?slug=olmo-3-safety-evaluation · How It Works · Data refreshed daily, snapshot 2026-11-13.