Fangcun DeepSeek 1017 Report - MonitorBench input intervention 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 input-intervention monitorability; trace-based observation quality, higher source-defined desirable. Models expose different native CoT; score uses available trace, not a claim of identical reasoning access. Metric: Native rate (%).
Metric: Native rate (%). Source: arxiv.org. Saturation forecast: Not forecast. 7 models tracked.
Top models
| # | Model | Score | Overall rank |
|---|---|---|---|
| 1 | DeepSeek V4 Flash (Max) | 96.93 | #147 (DeepSeek V4 Flash) |
| 2 | DeepSeek V4.1 Flash (1017) (Max) | 94.37 | #25 (DeepSeek V4.1 Flash (1017)) |
| 3 | DeepSeek V4 Pro (Max) | 93.06 | #109 (DeepSeek V4 Pro) |
| 4 | GPT-6 Astra (Max) | 88.59 | #3 (GPT-6 Astra) |
| 5 | Gemini 3.8 Flash | 81.16 | #24 |
| 6 | DeepSeek V4.1 Flash (Max) | 77.08 | #36 (DeepSeek V4.1 Flash) |
| 7 | GPT-5.6 Sol (Max) | 73.66 | #19 (GPT-5.6 Sol) |
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-input-intervention-monitorability · How It Works · Data refreshed daily, snapshot 2026-10-28.