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

Japanese MT-Bench questions in the writing 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 Flash Lite (Preview)99.5#201
2mistral-large-4-oss (High)99.5#60 (mistral-large-4-oss)
3Claude Sonnet 4.6 (Thinking)99.5#94 (Claude Sonnet 4.6)
4Muse Spark Open (xHigh)99.5#42 (Muse Spark Open)
5Kimi K3 (Thinking)99.5#35 (Kimi K3)
6Qwen 3.6 Max (Preview) (Thinking)99
7Inkling (Max)99#144 (Inkling)
8DeepSeek V3.2 (Thinking)98.5#210 (DeepSeek V3.2)
9Claude Opus 4.6 (Thinking)98.5#67 (Claude Opus 4.6)
10GPT-5.6 Luna (Max)98.5#79 (GPT-5.6 Luna)
11GPT-5 (2025-08-07) (High)98.5
12Claude Opus 4.7 (xHigh)98.5#51 (Claude Opus 4.7)
13GPT-5.4 (2026-03-05) (xHigh)98.5#63 (GPT-5.4 (2026-03-05))
14Qwen 3.6 35B A3B (Thinking)98.5#238 (Qwen 3.6 35B A3B)
15GPT-5.1 (2025-11-13) (High)98.5#107 (GPT-5.1 (2025-11-13))

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