Nejumi 4 - Toxicity - Violation Categories: leaderboard

Japanese safety prompts on questions an assistant should decline or answer without specifics (category 違反カテゴリ) 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. 145 models tracked.

Top models

#ModelScoreOverall rank
1Claude Sonnet 4.5 (Thinking)61.9#148 (Claude Sonnet 4.5)
2Claude Opus 4.1 (Thinking)61.11#146 (Claude Opus 4.1)
3GPT-4o (2024-11-20)57.94#392
4gemma-4-E4B-it57.94#577
5Claude Haiku 4.5 (Thinking)57.94#287 (Claude Haiku 4.5)
6Nova 2.0 Lite (Non-reasoning)57.14#425 (Nova 2.0 Lite)
7Llama-3.3-Swallow-70B-Instruct-v0.457.14#540
8Claude Sonnet 4 (Thinking)56.35#207 (Claude Sonnet 4)
9Qwen 3.6 35B A3B (Thinking)55.56#238 (Qwen 3.6 35B A3B)
10Claude 3.7 Sonnet (Non-reasoning)55.56#259 (Claude 3.7 Sonnet)
11Gemma 4 E2B (IT)54.76#779
12Claude 3.7 Sonnet (Thinking)54.76#259 (Claude 3.7 Sonnet)
13mistral-large-4-oss (High)54.76#60 (mistral-large-4-oss)
14Claude 3.5 Sonnet53.17#362
15Claude Opus 4.5 (Thinking)53.17#87 (Claude Opus 4.5)

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