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

JSQuAD (JGLUE), Japanese extractive reading comprehension, from the llm-jp-eval jaster suite as run 2-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: Estimated already saturated. 145 models tracked.

Top models

#ModelScoreOverall rank
1Qwen 3 Next 80B A3B Instruct82.64#381
2Inkling (Max)82.28#144 (Inkling)
3Claude Opus 5 (Max)82.11#16 (Claude Opus 5)
4GLM-5.3 Flash (Max)82.06#77 (GLM-5.3 Flash)
5Qwen 3.6 27B (Thinking)81.92#182 (Qwen 3.6 27B)
6Gemini 3.6 Flash81.91#57
7Gemini 3.1 Pro (Preview)81.81#64
8MiMo-V2.5-Pro (Thinking)81.56#167 (MiMo-V2.5-Pro)
9Claude Opus 4 (Non-reasoning)81.5#170 (Claude Opus 4)
10Grok 4.5 (High)81.42#54 (Grok 4.5)
11Gemini 3.5 Flash81.39#66
12Gemini 3 Pro (Preview)81.31#71
13Hy4 preview (High)81.3#45 (Hy4 preview)
14GPT-5.4 Mini (2026-03-17) (High)81.05#180 (GPT-5.4 Mini (2026-03-17))
15Claude Opus 4.5 (Non-reasoning)81.03#87 (Claude Opus 4.5)

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-jsquad · How It Works · Data refreshed daily, snapshot 2026-11-05.