Fangcun DeepSeek 1017 Report - MonitorBench outcome solution monitorability: 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 1.10 outcome/solution monitorability on native available traces; higher source observability quality, not answer accuracy. Metric: Native rate (%).

Metric: Native rate (%). Source: arxiv.org. Saturation forecast: Not forecast. 7 models tracked.

Top models

#ModelScoreOverall rank
1DeepSeek V4 Flash (Max)98.33#147 (DeepSeek V4 Flash)
2DeepSeek V4.1 Flash (Max)98.2#36 (DeepSeek V4.1 Flash)
3DeepSeek V4 Pro (Max)96.85#109 (DeepSeek V4 Pro)
4DeepSeek V4.1 Flash (1017) (Max)96.83#25 (DeepSeek V4.1 Flash (1017))
5GPT-5.6 Sol (Max)80.3#19 (GPT-5.6 Sol)
6Gemini 3.8 Flash76.14#24
7GPT-6 Astra (Max)70.54#3 (GPT-6 Astra)

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-monitorbench-outcome-solution-monitorability · How It Works · Data refreshed daily, snapshot 2026-10-28.