Nejumi 4 - MT-Bench (Japanese) - STEM: leaderboard

Japanese MT-Bench questions in the STEM category, two-turn answers rated 1-10 by GPT-4.1 as judge in Nejumi Leaderboard 4 (Weights & Biases Japan). Nejumi stores ratings divided by 10; the board multiplies by 100 (10-100), the scale of Nejumi 4 - MT-Bench (Japanese). Higher is better.

Metric: Judge rating (1-10, x10). 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
3Gemma 4 31B (IT)100#178
4Qwen 3 Next 80B A3B (Thinking)100#312
5Gemini 3.5 Flash100#66
6Qwen 3 235B A22B 2507 (Thinking)100#263
7DeepSeek V3.2 (Thinking)100#210 (DeepSeek V3.2)
8GPT-5.6 Sol (Max)100#22 (GPT-5.6 Sol)
9Kimi K3 (Max)100#35 (Kimi K3)
10Kimi K2.5 (Thinking)100#152 (Kimi K2.5)
11GLM-5.3 (Max)100#44 (GLM-5.3)
12Claude Opus 5 (Max)100#16 (Claude Opus 5)
13DeepSeek V4 Flash (Max)100#155 (DeepSeek V4 Flash)
14Claude Opus 4.6 (Thinking)100#67 (Claude Opus 4.6)
15GLM-5.3 Flash (Max)100#77 (GLM-5.3 Flash)

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-mt-bench-japanese-stem · How It Works · Data refreshed daily, snapshot 2026-11-05.