Fangcun DeepSeek 1017 Report - Lie-to-Me misleading hint susceptibility: leaderboard

Fangcun report 2610.35671v1, hosted API evaluations Oct 4–25 2026; Appendix A.1 exact model identities, maximum reasoning effort unless named otherwise, temperature 1/top_p 0.95. GLM 5.3 judge where required. API/format failures excluded by source; common cohort versus successfully completed denominators retained. Primary PDF printed values, not estimated plot heights. Figure 1.4a same multiple-choice questions with/without an incorrect-option hint. Fraction switching baseline answer to the wrong target; a factual-answer robustness error metric, not refusal or harmful-compliance frequency. Conditional CoT-disclosure rates are reported separately because they measure observability. Metric: Answers moved to wrong hint (%).

Metric: Answers moved to wrong hint (%). Source: arxiv.org. Saturation forecast: Around January 2027. 7 models tracked.

Top models

#ModelScoreOverall rank
1GPT-6 Astra (Max)3#3 (GPT-6 Astra)
2Gemini 3.8 Flash18.6#24
3DeepSeek V4 Pro (Max)21.1#109 (DeepSeek V4 Pro)
4DeepSeek V4.1 Flash (Max)24.7#36 (DeepSeek V4.1 Flash)
5GPT-5.6 Sol (Max)25.5#19 (GPT-5.6 Sol)
6DeepSeek V4.1 Flash (1017) (Max)28.5#25 (DeepSeek V4.1 Flash (1017))
7DeepSeek V4 Flash (Max)36.1#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-lie-to-me-misleading-hint-susceptibility · How It Works · Data refreshed daily, snapshot 2026-10-28.