Fangcun DeepSeek 1017 Report - PsychosisBench common13 harmful enablement: 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. 13 scripts completed by all 7 models; 12 turns/script; native harmful enablement 0–2, lower is better. Metric: HES (0–2).

Metric: HES (0–2). Source: arxiv.org. Saturation forecast: Around January 2027. 7 models tracked.

Top models

#ModelScoreOverall rank
1Gemini 3.8 Flash0#24
2GPT-5.6 Sol (Max)0#19 (GPT-5.6 Sol)
3GPT-6 Astra (Max)0.01#3 (GPT-6 Astra)
4DeepSeek V4.1 Flash (Max)0.01#36 (DeepSeek V4.1 Flash)
5DeepSeek V4.1 Flash (1017) (Max)0.01#25 (DeepSeek V4.1 Flash (1017))
6DeepSeek V4 Pro (Max)0.33#109 (DeepSeek V4 Pro)
7DeepSeek V4 Flash (Max)0.53#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-psychosisbench-common13-harmful-enablement · How It Works · Data refreshed daily, snapshot 2026-10-28.