Fangcun DeepSeek 1017 Report - NCRI reasoning-effort comparison: 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 1.6: No-Chain-of-Thought Reasoning Index accuracy on arithmetic, multistep reasoning, and program-output prediction; exact API effort settings preserved as separate model configurations. Off disables CoT; low/max enable different reasoning budgets. Accuracy uses valid responses in each setting, not a guaranteed identical answered subset. Unsupported off modes are absent, never zeros. Metric: Accuracy (%).

Metric: Accuracy (%). Source: arxiv.org. Saturation forecast: Estimated already saturated. 19 models tracked.

Top models

#ModelScoreOverall rank
1GPT-6 Astra (Max)99.3#3 (GPT-6 Astra)
2DeepSeek V4.1 Flash (1017) (Max)99.1#25 (DeepSeek V4.1 Flash (1017))
3DeepSeek V4 Flash (Max)98.9#147 (DeepSeek V4 Flash)
4GPT-5.6 Sol (Max)98.8#19 (GPT-5.6 Sol)
5GPT-6 Astra (Low)98.7#3 (GPT-6 Astra)
6DeepSeek V4 Pro (Max)98.4#109 (DeepSeek V4 Pro)
7DeepSeek V4.1 Flash (Max)98.2#36 (DeepSeek V4.1 Flash)
8DeepSeek V4.1 Flash (Low)96.2#36 (DeepSeek V4.1 Flash)
9GPT-5.6 Sol (Low)95.3#19 (GPT-5.6 Sol)
10Gemini 3.8 Flash94.9#24
11Gemini 3.8 Flash (Low)94.7#24 (Gemini 3.8 Flash)
12GPT-5.6 Sol (Non-reasoning)67#19 (GPT-5.6 Sol)
13DeepSeek V4 Pro42.3#109
14DeepSeek V4.1 Flash (1017)38.5#25
15DeepSeek V4.1 Flash37.2#36

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-ncri-reasoning-effort-comparison · How It Works · Data refreshed daily, snapshot 2026-10-28.