LLM2014 Logic 2026-08: leaderboard

An August 2026 archive of a personal Chinese-language project that keeps a private, monthly rotating bank of at most 28 logic problems and 270 test cases. Each problem scores out of ten on its scoring points, with nothing for a guessed answer or a reply that breaks the stated format. Every problem is answered three times and the table reports maximum and median columns; this board takes the median, higher is better.

Metric: Median Score. Source: raw.githubusercontent.com. Saturation forecast: Around October 2027. 46 models tracked.

Top models

#ModelScoreOverall rank
1GPT-5.5 (xHigh)73.89#31 (GPT-5.5)
2GPT-5.6 Sol (xHigh)69.42#19 (GPT-5.6 Sol)
3Kimi K3 (Max)67.66#30 (Kimi K3)
4Claude Opus 5 (xHigh)64.74#12 (Claude Opus 5)
5GLM-5.3 (Max)63.91#39 (GLM-5.3)
6GLM-5.3 Flash (Max)60.52#65 (GLM-5.3 Flash)
7Qwen 3.8 Max (xHigh)60.05#35 (Qwen 3.8 Max)
8DeepSeek V4 Pro (0813) (Max)59.63#53 (DeepSeek V4 Pro (0813))
9DeepSeek-V4-Flash-Vision-Exp (Max)58.1#76 (DeepSeek-V4-Flash-Vision-Exp)
10Gemini 3.7 Flash (High)57.56#23 (Gemini 3.7 Flash)
11Grok 4.6 (High)56.41#26 (Grok 4.6)
12Gemini 3.1 Pro (Preview) (High)55.84#58 (Gemini 3.1 Pro (Preview))
13DeepSeek V4 Flash (0731) (Max)55.23#78 (DeepSeek V4 Flash (0731))
14GLM-5.2 (Max)54.7#73 (GLM-5.2)
15GPT-5.6 Luna (xHigh)51.62#68 (GPT-5.6 Luna)

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

Interactive version: theaggregate.ai/benchmark?slug=llm2014-logic-2026-08 · How It Works · Data refreshed daily, snapshot 2026-10-20.