Nejumi 4 - GLP - Knowledge & QA: leaderboard

An aggregate of Nejumi 4's two knowledge sub-scores. General knowledge comes from jaster commonsense, multi-hop and quiz sets plus the MT-Bench STEM questions; specialized knowledge comes from JMMLU, the Japanese MMLU-ProX and a Japanese subset of Humanity's Last Exam. All of it is closed-book, and the board is the mean of the two in percent, higher is better. Source: github.com/wandb/llm-leaderboard.

Metric: Score (%). Source: nejumi.ai. Saturation forecast: Around January 2027. 139 models tracked.

Top models

#ModelScoreOverall rank
1GPT-5.6 Sol81.54#19
2Gemini 3.1 Pro (Preview)81.41#58
3Claude Fable 581.34#16
4GPT-5.5 (2026-04-23)80.96#22
5GPT-5.4 (2026-03-05)80.63#59
6GPT-5.6 Terra80.38#41
7Claude Opus 580.01#12
8Gemini 3.5 Flash79.48#60
9Muse Spark Open79.38#54
10Gemini 3.6 Flash79.04#51
11Qwen3.8 2.4T A95B78.93#55
12Claude Opus 4.778.91#49
13Hy4 preview78.79#38
14Claude Opus 4.878.72#37
15DeepSeek V4.1 Flash78.68#36

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-glp-knowledge-qa · How It Works · Data refreshed daily, snapshot 2026-10-20.