Nejumi 4 - jaster (0-shot): leaderboard

The average of the per-dataset scores in the jaster battery when every task is asked with no worked examples. Jaster is a set of Japanese NLP datasets converted to one generation harness, covering question answering, inference, grammaticality, translation, math word problems and multiple-choice exams, each graded automatically. Reported in percent, higher is better. Source: github.com/wandb/llm-leaderboard.

Metric: Score (%). Source: nejumi.ai. Saturation forecast: Estimated already saturated. 139 models tracked.

Top models

#ModelScoreOverall rank
1GPT-5.5 (2026-04-23)88.02#22
2Claude Fable 587.82#16
3Gemini 3 Flash (Preview)87.61#82
4Gemini 3.1 Pro (Preview)87.57#58
5Gemini 3.6 Flash87.55#51
6Gemini 3.5 Flash87.47#60
7GPT-5.6 Terra87.04#41
8Gemini 3 Pro (Preview)86.77#66
9GPT-5.4 (2026-03-05)86.77#59
10GPT-5.6 Sol86.6#19
11Qwen3.8 2.4T A95B86.57#55
12Qwen 3.6 Max Preview86.13#85
13Claude Opus 585.94#12
14GPT-5.285.93#110
15Claude Opus 4.785.82#49

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