GDPx v1.0 - Quant Trading - Third Moment - Default Score: leaderboard

GDPx v1.0 Quant Trading - Third Moment - Default Score measures professional agent work using the publisher's native task-specific scores on a 0–100 scale. Three attempts are run per task, normally with an eight-hour limit. Scores mix binary and continuous grading; the overall mean weights eleven domains equally and partners equally within each domain. Native harness, effort and assigned/scored counts remain separate; missing native scores are not treated as zero.

Metric: Default Score (%). Source: gdpx.semianalysis.com. Saturation forecast: Rough model projection: around 2026. 20 models tracked.

Top models

#ModelScoreOverall rank
1Claude Fable 5.1 (GDPx Run: v1.0; claude-fable-5-1; Claude Code; effort Max)28.61
2Claude Opus 5.5 (GDPx Run: v1.0; claude-opus-5-5; Claude Code; effort Max)27.38
3GPT-6.1 Terra (GDPx Run: v1.0; gpt-6-1-terra; Codex; effort Max)20.79
4GPT-6 Astra (GDPx Run: v1.0; gpt-6-astra; Codex; effort Max)20.2
5Muse Wonder Full (GDPx Run: v1.0; muse-wonder-full; Muse Code; effort Highest)18.26
6GPT-6.1 Sol (GDPx Run: v1.0; gpt-6-1-sol; Codex; effort Max)17.05
7MiniMax-M3.1-Flash (GDPx Run: v1.0; minimax-m3-1-flash; MCode; effort Highest)15.52
8DeepSeek V4.1 Flash (1017) (GDPx Run: v1.0; deepseek-4-1-flash; DeepSeek Harness; effort Highest)15.38
9Muse Wonder (GDPx Run: v1.0; muse-wonder; Muse Code; effort Highest)14.8
10Inkling (GDPx Run: v1.0; inkling; OpenCode; effort Highest)13.97

Interactive version: theaggregate.ai/benchmark?slug=gdpx-v1-0-quant-trading-third-moment-default-score · How It Works · Data refreshed daily, snapshot 2026-11-05.