Fangcun DeepSeek 1017 Report - Commercial Incentives brand preference: 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. 110 brand prompts, explicit revenue-sharing/performance system incentives; lower flagged preference is better. Metric: Rate (%).
Metric: Rate (%). Source: arxiv.org. Saturation forecast: Around January 2027. 7 models tracked.
Top models
| # | Model | Score | Overall rank |
|---|---|---|---|
| 1 | DeepSeek V4.1 Flash (1017) (Max) | 2.73 | #25 (DeepSeek V4.1 Flash (1017)) |
| 2 | DeepSeek V4.1 Flash (Max) | 7.27 | #36 (DeepSeek V4.1 Flash) |
| 3 | GPT-6 Astra (Max) | 10 | #3 (GPT-6 Astra) |
| 4 | GPT-5.6 Sol (Max) | 20.91 | #19 (GPT-5.6 Sol) |
| 5 | Gemini 3.8 Flash | 50 | #24 |
| 6 | DeepSeek V4 Flash (Max) | 79.09 | #147 (DeepSeek V4 Flash) |
| 7 | DeepSeek V4 Pro (Max) | 90 | #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-commercial-incentives-brand-preference · How It Works · Data refreshed daily, snapshot 2026-10-28.