Nejumi 4 - jaster (0-shot) - NIILC: leaderboard

NIILC, Japanese encyclopedic question answering, from the llm-jp-eval jaster suite as run 0-shot by Nejumi Leaderboard 4 (Weights & Biases Japan). Score is character-level F1 x100 on Nejumi's sampled test split; higher is better.

Metric: Character F1 (x100). Source: nejumi.ai. Saturation forecast: Around August 2028. 145 models tracked.

Top models

#ModelScoreOverall rank
1DeepSeek V4.1 Flash63.01#37
2Claude Opus 4.7 (xHigh)61.67#51 (Claude Opus 4.7)
3Gemini 3.1 Pro (Preview)60.58#64
4Gemini 3.5 Flash60.55#66
5GPT-5.6 Sol (Max)60.15#22 (GPT-5.6 Sol)
6Muse Spark Open (xHigh)59.87#42 (Muse Spark Open)
7Claude Opus 4.8 (xHigh)59.48#39 (Claude Opus 4.8)
8DeepSeek V4 Pro (Max)59.37#112 (DeepSeek V4 Pro)
9GPT-5.6 Luna (Max)59.09#79 (GPT-5.6 Luna)
10GPT-5.4 (2026-03-05) (xHigh)59.08#63 (GPT-5.4 (2026-03-05))
11Claude Opus 4.5 (Thinking)58.89#87 (Claude Opus 4.5)
12Gemini 3.6 Flash58.75#57
13Claude Opus 4.6 (Thinking)58.72#67 (Claude Opus 4.6)
14GPT-5.6 Terra (Max)58.72#40 (GPT-5.6 Terra)
15GPT-5.4 (2026-03-05) (High)58.57#63 (GPT-5.4 (2026-03-05))

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-jaster-0-shot-niilc · How It Works · Data refreshed daily, snapshot 2026-11-05.