Nejumi 4 - jaster (0-shot) - MMLU-ProX (Japanese): leaderboard

the Japanese split of MMLU-ProX, a multilingual version of MMLU-Pro, from the llm-jp-eval jaster suite as run 0-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
1Inkling (Max)93#144 (Inkling)
2Gemini 3.1 Pro (Preview)91#64
3Gemini 3.5 Flash91#66
4Kimi K3 (Max)91#35 (Kimi K3)
5GPT-5.2 (2025-12-11) (xHigh)91
6Kimi K3 (Thinking)91#35 (Kimi K3)
7DeepSeek V4.1 Flash90#37
8Gemini 3.6 Flash90#57
9GPT-5.6 Sol (Max)90#22 (GPT-5.6 Sol)
10DeepSeek V4 Pro (Max)90#112 (DeepSeek V4 Pro)
11Claude Opus 5 (Max)90#16 (Claude Opus 5)
12GPT-5.6 Terra (Max)90#40 (GPT-5.6 Terra)
13Grok 4.5 (High)90#54 (Grok 4.5)
14DeepSeek V4 Pro (0813) (Max)90#58 (DeepSeek V4 Pro (0813))
15Hy4 preview (High)90#45 (Hy4 preview)

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-mmlu-prox-japanese · How It Works · Data refreshed daily, snapshot 2026-11-05.