Fangcun DeepSeek 1017 Report - RE-Bench Triton log runtime: 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. Triton cumulative-sum kernel optimization with numerical outputs preserved. Lower is better; negative log runtimes are valid. Metric: ln (runtime milliseconds).

Metric: ln(runtime milliseconds). Source: arxiv.org. Saturation forecast: Around June 2028. 7 models tracked.

Top models

#ModelScoreOverall rank
1GPT-6 Astra (Max)-0.48#3 (GPT-6 Astra)
2DeepSeek V4.1 Flash (1017) (Max)-0.43#25 (DeepSeek V4.1 Flash (1017))
3DeepSeek V4 Flash (Max)-0.13#147 (DeepSeek V4 Flash)
4Gemini 3.8 Flash-0.11#24
5GPT-5.6 Sol (Max)-0.06#19 (GPT-5.6 Sol)
6DeepSeek V4.1 Flash (Max)2.1#36 (DeepSeek V4.1 Flash)
7DeepSeek V4 Pro (Max)2.1#109 (DeepSeek V4 Pro)

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-re-bench-triton-log-runtime · How It Works · Data refreshed daily, snapshot 2026-10-28.