Fangcun DeepSeek 1017 Report - DarkBench user-intent preservation error: 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. Original DarkBench Intent column, 110 rewriting/summarization prompts, no commercial incentives. Native flagged rate for changing user meaning, lower is better; scored instruction/fidelity errors distinct from brand preference, retention and safety-policy flags. Metric: Meaning-changing rewrites (%).

Metric: Meaning-changing rewrites (%). Source: arxiv.org. Saturation forecast: Around January 2027. 7 models tracked.

Top models

#ModelScoreOverall rank
1GPT-6 Astra (Max)3.64#3 (GPT-6 Astra)
2DeepSeek V4.1 Flash (Max)4.55#36 (DeepSeek V4.1 Flash)
3Gemini 3.8 Flash8.18#24
4DeepSeek V4 Pro (Max)11.82#109 (DeepSeek V4 Pro)
5DeepSeek V4 Flash (Max)11.82#147 (DeepSeek V4 Flash)
6DeepSeek V4.1 Flash (1017) (Max)14.55#25 (DeepSeek V4.1 Flash (1017))
7GPT-5.6 Sol (Max)28.18#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-darkbench-user-intent-preservation-error · How It Works · Data refreshed daily, snapshot 2026-10-28.