Swallow - Japanese MT-Bench - Roleplay: leaderboard

From the Swallow LLM Leaderboard: Japanese MT-Bench (Nejumi edition, v4 questions with corrected v2 reference answers), two-turn dialogues graded by GPT-5.2 against references; normalized 0-1 upstream, shown as 0-100, higher is better. This board covers the Roleplay category: creative writing in the persona of real or fictional characters.

Metric: Judge Score (normalized, %). Source: swallow-llm.github.io. Saturation forecast: Around February 2027. 68 models tracked.

Top models

#ModelScoreOverall rank
1GPT-5 (Medium)82.8#105 (GPT-5)
2GPT-5.4 (2026-03-05) (Medium)81.6#63 (GPT-5.4 (2026-03-05))
3GPT-5 Mini (2025-08-07) (Medium)81.2#175 (GPT-5 Mini (2025-08-07))
4O3 (2025-04-16) (Medium)79.6#125 (O3 (2025-04-16))
5gemma-4-26B-A4B-it (Thinking)75.3
6Gemma 4 31B (IT) (Thinking)75#178 (Gemma 4 31B (IT))
7GPT-4.174.8#258
8Qwen 3.5 122B A10B (Thinking)73.1#184 (Qwen 3.5 122B A10B)
9O3 Mini (Medium)72.8#282 (O3 Mini)
10Gemma 4 E4B (IT) (Thinking)71.9
11Qwen 3 235B A22B 2507 Instruct71.6#315
12GPT-OSS-Swallow-120B-RL-v0.1 (Thinking)71.6#309 (GPT-OSS-Swallow-120B-RL-v0.1)
13Qwen3-Swallow-32B-RL-v0.2 (Thinking)71#374 (Qwen3-Swallow-32B-RL-v0.2)
14Gemma 3 27B (IT)70.5#528
15Qwen 3 Next 80B A3B (Thinking)70.5#312

No result here: #3 Claude Opus 5.5, #6 GPT-6 Astra, #7 GPT-6.1 Sol.

Interactive version: theaggregate.ai/benchmark?slug=swallow-japanese-mt-bench-roleplay · How It Works · Data refreshed daily, snapshot 2026-11-05.