QMFOLBench - Mathematics: leaderboard

Mathematics-topic subset of QMFOLBench (Zheng et al., 2026): 720 monadic first-order logic deduction tasks phrased about numbers, sets, statements and mathematicians, whose premises can contradict real mathematics, so the model must reason from the premises alone to label a conclusion True, False or Unknown. Accuracy in percent; higher is better.

Metric: Accuracy (%; 720 mathematics-topic tasks). Source: arxiv.org. Saturation forecast: Estimated already saturated. 8 models tracked.

Top models

#ModelScoreOverall rank
1Gemini 3.1 Pro (Preview) (High)98.75#91 (Gemini 3.1 Pro (Preview))
2GPT-5.4 (High)97.08#121 (GPT-5.4)
3Qwen 3.5 27B (Thinking)93.06#358 (Qwen 3.5 27B)
4Claude Sonnet 4.6 (Thinking)79.03#158 (Claude Sonnet 4.6)
5DeepSeek V3.2 (Thinking)77.92#403 (DeepSeek V3.2)
6DeepSeek V3.2 (Non-reasoning)67.5#403 (DeepSeek V3.2)
7GPT-5.4 (Non-reasoning)62.64#121 (GPT-5.4)
8Qwen 3 32B (Thinking)60.14#960 (Qwen 3 32B)

No result here: #1 Claude Fable 5.2, #2 Gemini 4 Carbon, #5 Claude Opus 5.5.

Interactive version: theaggregate.ai/benchmark?slug=qmfolbench-mathematics · How It Works · Data refreshed daily, snapshot 2026-11-12.