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

Japanese MT-Bench questions in the coding 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 2.5 Pro100#159
2Gemma 4 31B (IT)100#178
3Gemini 3 Flash (Preview)100#90
4Gemini 3.1 Flash Lite (Preview)100#201
5Kimi K3 (Max)100#35 (Kimi K3)
6Kimi K2.5 (Thinking)100#152 (Kimi K2.5)
7GLM-5.3 (Max)100#44 (GLM-5.3)
8Claude Opus 5 (Max)100#16 (Claude Opus 5)
9GLM-5.3 Flash (Max)100#77 (GLM-5.3 Flash)
10DeepSeek V4 Pro (0813) (Max)100#58 (DeepSeek V4 Pro (0813))
11O3 (2025-04-16) (High)100#125 (O3 (2025-04-16))
12mistral-large-4-oss (High)100#60 (mistral-large-4-oss)
13Muse Spark Open (xHigh)100#42 (Muse Spark Open)
14Qwen 3.5 27B (Thinking)100#192 (Qwen 3.5 27B)
15Claude Opus 4.7 (xHigh)100#51 (Claude Opus 4.7)

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