Fangcun DeepSeek 1017 Report - RE-Bench Chat-RL composite reward: 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. Chat-RL optimization. Source labels Flash 1017 and V4 Flash invalid (no accepted checkpoint); these are absent, not zero. No theoretical bounds inferred from chart axes. Metric: Composite reward.
Metric: Composite reward. Source: arxiv.org. Saturation forecast: Around September 2028. 5 models tracked.
Top models
| # | Model | Score | Overall rank |
|---|---|---|---|
| 1 | GPT-5.6 Sol (Max) | 0.79 | #19 (GPT-5.6 Sol) |
| 2 | GPT-6 Astra (Max) | 0.64 | #3 (GPT-6 Astra) |
| 3 | DeepSeek V4 Pro (Max) | 0.63 | #109 (DeepSeek V4 Pro) |
| 4 | DeepSeek V4.1 Flash (Max) | 0.48 | #36 (DeepSeek V4.1 Flash) |
| 5 | Gemini 3.8 Flash | 0.36 | #24 |
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-chat-rl-composite-reward · How It Works · Data refreshed daily, snapshot 2026-10-28.