Swallow - Japanese MT-Bench - Math: 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 Math category: algebra, geometry, probability and number-theory problems.

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

Top models

#ModelScoreOverall rank
1O3 Mini (Medium)99.7#282 (O3 Mini)
2GPT-5.4 (2026-03-05) (Medium)99.7#63 (GPT-5.4 (2026-03-05))
3Qwen 3.5 35B A3B (Thinking)99.3#268 (Qwen 3.5 35B A3B)
4Qwen 3.5 122B A10B (Thinking)99.2#184 (Qwen 3.5 122B A10B)
5O3 (2025-04-16) (Medium)99.1#125 (O3 (2025-04-16))
6Qwen 3 Next 80B A3B (Thinking)99#312
7gemma-4-26B-A4B-it (Thinking)98.9
8Qwen 3 Next 80B A3B Instruct98.8#381
9GPT-OSS-20B (Medium)98.8#523 (GPT-OSS-20B)
10Gemma 4 31B (IT) (Thinking)98.8#178 (Gemma 4 31B (IT))
11Qwen3-Swallow-8B-RL-v0.2 (Thinking)98.4#602 (Qwen3-Swallow-8B-RL-v0.2)
12GPT-5 Mini (2025-08-07) (Medium)98.4#175 (GPT-5 Mini (2025-08-07))
13Qwen 3.5 27B (Thinking)98.2#192 (Qwen 3.5 27B)
14Qwen 3 235B A22B 2507 Instruct97.9#315
15NVIDIA-Nemotron-Nano-9B-v2-Japanese (Thinking)97.8#634 (NVIDIA-Nemotron-Nano-9B-v2-Japanese)

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