GDPx v1.0 - Recursive Self-Improvement - Extrapolate - Default Score: leaderboard
GDPx v1.0 Recursive Self-Improvement - Extrapolate - 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
| # | Model | Score | Overall rank |
|---|---|---|---|
| 1 | GPT-6 Astra (GDPx Run: v1.0; gpt-6-astra; Codex; effort Max) | 24.89 | |
| 2 | Claude Sonnet 5.5 (GDPx Run: v1.0; claude-sonnet-5-5; Claude Code; effort Max) | 22.92 | |
| 3 | GPT-6.1 Sol (GDPx Run: v1.0; gpt-6-1-sol; Codex; effort Max) | 22.79 | |
| 4 | Gemini 4 Carbon (GDPx Run: v1.0; gemini-4-carbon; Antigravity; effort High) | 19.06 | |
| 5 | Claude Opus 5.5 (GDPx Run: v1.0; claude-opus-5-5; Claude Code; effort Max) | 17.55 | |
| 6 | GPT-6.1 Terra (GDPx Run: v1.0; gpt-6-1-terra; Codex; effort Max) | 17.4 | |
| 7 | Claude Fable 5.1 (GDPx Run: v1.0; claude-fable-5-1; Claude Code; effort Max) | 16.53 | |
| 8 | Muse Wonder Full (GDPx Run: v1.0; muse-wonder-full; Muse Code; effort Highest) | 15.8 | |
| 9 | Gemini 4 Argon (GDPx Run: v1.0; gemini-4-argon; Antigravity; effort High) | 14.09 | |
| 10 | Claude Haiku 5.5 (GDPx Run: v1.0; claude-haiku-5-5; Claude Code; effort Max) | 11.3 |
Interactive version: theaggregate.ai/benchmark?slug=gdpx-v1-0-recursive-self-improvement-extrapolate-default-score · How It Works · Data refreshed daily, snapshot 2026-11-05.