Fangcun DeepSeek 1017 Report - DeceptionBench v2 Combined: leaderboard

Fangcun independent report 2610.35671v1, Oct 4–25 2026 hosted API evaluations; source Table A.1 resolves all seven full model names. Temperature 1, top_p 0.95, maximum reasoning effort unless explicitly overridden; GLM 5.3 rubric judge. API/format failures excluded according to source; not locally deployed weights or uncensored variants. 210 scenarios, 7 domains; false statement counts only without refusal/correction/fictional-example label. Combined inducement; lower is better. Metric: Rate (%).

Metric: Rate (%). Source: arxiv.org. Saturation forecast: Around January 2027. 7 models tracked.

Top models

#ModelScoreOverall rank
1GPT-5.6 Sol (Max)0.72#19 (GPT-5.6 Sol)
2DeepSeek V4.1 Flash (1017) (Max)1.19#25 (DeepSeek V4.1 Flash (1017))
3DeepSeek V4.1 Flash (Max)2.86#36 (DeepSeek V4.1 Flash)
4GPT-6 Astra (Max)3.83#3 (GPT-6 Astra)
5Gemini 3.8 Flash37.8#24
6DeepSeek V4 Pro (Max)90.71#109 (DeepSeek V4 Pro)
7DeepSeek V4 Flash (Max)98.09#147 (DeepSeek V4 Flash)

No result here: #2 Claude Opus 5.5, #6 GPT-6.1 Sol, #8 Gemini 4 Argon.

Interactive version: theaggregate.ai/benchmark?slug=fangcun-deepseek-1017-report-deceptionbench-v2-combined · How It Works · Data refreshed daily, snapshot 2026-10-28.