Swallow - English MT-Bench - Roleplay: leaderboard

From the Swallow LLM Leaderboard: English MT-Bench, two-turn dialogues graded by GPT-5.2 against reference answers; 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: Estimated already saturated. 68 models tracked.

Top models

#ModelScoreOverall rank
1GPT-5.4 (2026-03-05) (Medium)86.8#63 (GPT-5.4 (2026-03-05))
2GPT-5 (Medium)86.7#105 (GPT-5)
3GPT-5 Mini (2025-08-07) (Medium)85.3#175 (GPT-5 Mini (2025-08-07))
4O3 (2025-04-16) (Medium)82.8#125 (O3 (2025-04-16))
5gemma-4-26B-A4B-it (Thinking)81.5
6Gemma 4 31B (IT) (Thinking)81.3#178 (Gemma 4 31B (IT))
7Qwen 3.5 122B A10B (Thinking)80.7#184 (Qwen 3.5 122B A10B)
8GPT-4.180#258
9Qwen 3.5 27B (Thinking)79.5#192 (Qwen 3.5 27B)
10Qwen 3 235B A22B 2507 Instruct79#315
11NVIDIA-Nemotron-3-Super-120B-A12B-BF16 (Thinking)78.3#394 (NVIDIA-Nemotron-3-Super-120B-A12B-BF16)
12Gemma 3 27B (IT)78#528
13GPT-OSS-120B (Medium)77.7#346 (GPT-OSS-120B)
14Gemma 4 E4B (IT) (Thinking)77.2
15Gemma 3 12B (IT)77.1#672

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

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