Nejumi 4 - HLE (Japanese) - Calibration Error: leaderboard

Calibration error (%) of the confidence each model states with its answers on hle-ja, the Japanese Humanity's Last Exam subset (194 test questions) in Nejumi Leaderboard 4 (Weights & Biases Japan). Scored as in HLE's grader; 0 is perfectly calibrated and lower is better.

Metric: Calibration error (%). Source: nejumi.ai. Saturation forecast: Around March 2027. 145 models tracked.

Top models

#ModelScoreOverall rank
1Grok 4.5 (High)34#54 (Grok 4.5)
2Grok 4.20 0309 (Reasoning)39#120 (Grok 4.20 0309)
3Claude Opus 4.8 (xHigh)39#39 (Claude Opus 4.8)
4Claude Opus 5 (Max)41#16 (Claude Opus 5)
5Muse Spark Open (xHigh)41#42 (Muse Spark Open)
6Claude Opus 4.7 (xHigh)42#51 (Claude Opus 4.7)
7GPT-5.6 Sol (Max)44#22 (GPT-5.6 Sol)
8GPT-5.4 (2026-03-05) (xHigh)44#63 (GPT-5.4 (2026-03-05))
9GPT-5.4 (2026-03-05) (High)44#63 (GPT-5.4 (2026-03-05))
10GPT-5.6 Terra (Max)48#40 (GPT-5.6 Terra)
11Kimi K3 (Thinking)48#35 (Kimi K3)
12Hy4 preview (High)49#45 (Hy4 preview)
13DeepSeek V4.1 Flash51#37
14GLM-5.3 (Max)52#44 (GLM-5.3)
15DeepSeek-V4-Flash-Vision-Exp (Max)53#88 (DeepSeek-V4-Flash-Vision-Exp)

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-hle-japanese-calibration-error · How It Works · Data refreshed daily, snapshot 2026-11-05.