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

JSQuAD (JGLUE), Japanese extractive reading comprehension, 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 May 2027. 145 models tracked.

Top models

#ModelScoreOverall rank
1Hy4 preview (High)83.3#45 (Hy4 preview)
2Qwen 3.6 27B (Thinking)83#182 (Qwen 3.6 27B)
3Gemini 3.6 Flash82.76#57
4Gemma 4 31B (IT)82.48#178
5Claude Opus 5 (Max)82.38#16 (Claude Opus 5)
6ELYZA-Shortcut-1.0-Qwen-32B82.25#560
7Gemini 3 Pro (Preview)82.23#71
8DeepSeek V4.1 Flash (1017)82.12#27
9Gemini 3.5 Flash81.97#66
10Qwen 3 Next 80B A3B Instruct81.97#381
11mistral-large-4-oss (High)81.56#60 (mistral-large-4-oss)
12MiMo-V2.5-Pro (Thinking)81.23#167 (MiMo-V2.5-Pro)
13Kimi K3 (Thinking)81.22#35 (Kimi K3)
14Solar Pro 481.19#230
15GPT-5.4 Mini (2026-03-17) (High)81.18#180 (GPT-5.4 Mini (2026-03-17))

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