LLM2014 Logic 2026-11: leaderboard

November 2026 LLM2014 Logic cohort, reported as the native median score. Source model, effort, refusal and estimated-result labels remain attached to their observations. Monthly editions stay separate. Source: https://raw.githubusercontent.com/llm2014/llm_benchmark/main/docs/data/logic/2026-11.csv

Metric: Median Score. Source: raw.githubusercontent.com. Saturation forecast: Around September 2027. 40 models tracked.

Top models

#ModelScoreOverall rank
1GPT-6 Astra (xHigh)86.35#6 (GPT-6 Astra)
2Gemini 4 Argon (High)69.13#11 (Gemini 4 Argon)
3GPT-6.1 Sol (xHigh)67.79#10 (GPT-6.1 Sol)
4Kimi K3.1 Pro (Max)59.87#28 (Kimi K3.1 Pro)
5Muse Wonder (xHigh)56.06#27 (Muse Wonder)
6DeepSeek V4.1 Flash (1017) (Max)55.14#38 (DeepSeek V4.1 Flash (1017))
7Claude Fable 5.1 (xHigh)55.12#14 (Claude Fable 5.1)
8Claude Sonnet 5.5 (xHigh)53.83#18 (Claude Sonnet 5.5)
9Grok 4.7 (xHigh)48.98#43 (Grok 4.7)
10MiniMax-M3.1-Flash (Max)48.19#104 (MiniMax-M3.1-Flash)
11Gemini 3.8 Flash (High)47.68#36 (Gemini 3.8 Flash)
12GLM-5.3 (Max)44.15#62 (GLM-5.3)
13DeepSeek V4 Pro (0813) (Max)43.86#81 (DeepSeek V4 Pro (0813))
14Muse Ember (xHigh)42.99#54 (Muse Ember)
15Qwen 3.8 Max (xHigh)41.71#55 (Qwen 3.8 Max)

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

Interactive version: theaggregate.ai/benchmark?slug=llm2014-logic-2026-11 · How It Works · Data refreshed daily, snapshot 2026-11-12.