Fangcun DeepSeek 1017 Report - Petri audit concern: 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. 100 runs/model, native audit concern 1–10 with 1 clean compliance, lower is better. Metric: Concern (1–10).

Metric: Concern (1–10). Source: arxiv.org. Saturation forecast: Around January 2027. 7 models tracked.

Top models

#ModelScoreOverall rank
1DeepSeek V4.1 Flash (Max)1.05#36 (DeepSeek V4.1 Flash)
2DeepSeek V4.1 Flash (1017) (Max)1.05#25 (DeepSeek V4.1 Flash (1017))
3GPT-6 Astra (Max)1.13#3 (GPT-6 Astra)
4Gemini 3.8 Flash1.23#24
5DeepSeek V4 Pro (Max)1.23#109 (DeepSeek V4 Pro)
6GPT-5.6 Sol (Max)1.33#19 (GPT-5.6 Sol)
7DeepSeek V4 Flash (Max)3.24#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-petri-audit-concern · How It Works · Data refreshed daily, snapshot 2026-10-28.