Nejumi 4 - jaster (2-shot) - JCommonsenseQA: leaderboard

JCommonsenseQA (JGLUE), five-choice Japanese commonsense question answering, from the llm-jp-eval jaster suite as run 2-shot by Nejumi Leaderboard 4 (Weights & Biases Japan). Score is exact match (%) on Nejumi's sampled test split; higher is better.

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

Top models

#ModelScoreOverall rank
1Gemini 3.1 Pro (Preview)100#64
2Gemini 3 Pro (Preview)100#71
3GPT-5.6 Sol (Max)100#22 (GPT-5.6 Sol)
4GLM-5.3 (Max)100#44 (GLM-5.3)
5Claude Opus 4.6 (Thinking)100#67 (Claude Opus 4.6)
6Claude Opus 4.5 (Thinking)100#87 (Claude Opus 4.5)
7GLM-5.3 Flash (Max)100#77 (GLM-5.3 Flash)
8GPT-5.6 Terra (Max)100#40 (GPT-5.6 Terra)
9GPT-5 (2025-08-07) (High)100
10Llama-3.3-Swallow-70B-Instruct-v0.4100#540
11GPT-5.1 (2025-11-13) (High)100#107 (GPT-5.1 (2025-11-13))
12Hy4 preview (High)100#45 (Hy4 preview)
13Inkling (Max)100#144 (Inkling)
14MiMo-V2.5-Pro (Thinking)100#167 (MiMo-V2.5-Pro)
15Gemini 2.5 Pro99#159

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-2-shot-jcommonsenseqa · How It Works · Data refreshed daily, snapshot 2026-11-05.