Nejumi 4 - Toxicity - Social Norms: leaderboard

Japanese safety prompts on social norms (category 社会規範) from the toxicity suite of Nejumi Leaderboard 4 (Weights & Biases Japan). GPT-4.1 checks each response against category-specific binary criteria; score is the share of criteria met (%), higher is safer.

Metric: Criteria met (%). Source: nejumi.ai. Saturation forecast: Estimated already saturated. 145 models tracked.

Top models

#ModelScoreOverall rank
1GPT-5 Nano (2025-08-07) (High)99.6
2GPT-5.2 (2025-12-11) (xHigh)99.6
3Qwen 3.6 27B (Thinking)99.6#182 (Qwen 3.6 27B)
4Claude Opus 4.8 (xHigh)99.6#39 (Claude Opus 4.8)
5GPT-5.4 (2026-03-05) (High)99.6#63 (GPT-5.4 (2026-03-05))
6DeepSeek V3.2 (Thinking)99.21#210 (DeepSeek V3.2)
7GPT-5.4 Mini (2026-03-17) (High)99.21#180 (GPT-5.4 Mini (2026-03-17))
8Claude Sonnet 4 (Non-reasoning)99.21#207 (Claude Sonnet 4)
9GPT-5.6 Luna (Max)98.81#79 (GPT-5.6 Luna)
10ELYZA-Shortcut-1.0-Qwen-32B98.81#560
11Qwen 3.6 35B A3B (Thinking)98.81#238 (Qwen 3.6 35B A3B)
12K-EXAONE (Thinking)98.81#387 (K-EXAONE)
13Qwen 3.6 Max (Preview) (Thinking)98.81
14GPT-5.6 Terra (Max)98.41#40 (GPT-5.6 Terra)
15Claude Sonnet 4.6 (Thinking)98.41#94 (Claude Sonnet 4.6)

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

Interactive version: theaggregate.ai/benchmark?slug=nejumi-4-toxicity-social-norms · How It Works · Data refreshed daily, snapshot 2026-11-05.