Swallow - English MT-Bench - Reasoning: 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 Reasoning category: questions requiring commonsense and logical reasoning.

Metric: Judge Score (normalized, %). Source: swallow-llm.github.io. Saturation forecast: Estimated already saturated. 68 models tracked.

Top models

#ModelScoreOverall rank
1GPT-4o (2024-08-06)91.1#343
2GPT-5 Mini (2025-08-07) (Medium)91#175 (GPT-5 Mini (2025-08-07))
3O3 (2025-04-16) (Medium)90.3#125 (O3 (2025-04-16))
4Qwen 3 Next 80B A3B (Thinking)89.5#312
5Qwen 3.5 122B A10B (Thinking)89.3#184 (Qwen 3.5 122B A10B)
6Qwen 3 235B A22B 2507 Instruct89#315
7O3 Mini (Medium)88.6#282 (O3 Mini)
8Qwen 3.5 35B A3B (Thinking)88.4#268 (Qwen 3.5 35B A3B)
9GPT-4.188.3#258
10Qwen 3.5 27B (Thinking)88.3#192 (Qwen 3.5 27B)
11Gemma 4 31B (IT) (Thinking)87.8#178 (Gemma 4 31B (IT))
12GPT-5.4 (2026-03-05) (Medium)87.7#63 (GPT-5.4 (2026-03-05))
13GPT-5 (Medium)87.5#105 (GPT-5)
14Qwen 3 Next 80B A3B Instruct87#381
15Qwen 3 30B A3B (Thinking)86.5#496 (Qwen 3 30B A3B)

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