GDPx v1.0 - Alignment - Fleet - Default Score: leaderboard

GDPx v1.0 Alignment - Fleet - 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
1Muse Wonder Full (GDPx Run: v1.0; muse-wonder-full; Muse Code; effort Highest)9.21
2Claude Opus 5.5 (GDPx Run: v1.0; claude-opus-5-5; Claude Code; effort Max)8.68
3GPT-6 Luna (GDPx Run: v1.0; gpt-6-luna; Codex; effort Max)7.78
4GPT-6 Astra (GDPx Run: v1.0; gpt-6-astra; Codex; effort Max)6.21
5Gemini 4 Argon (GDPx Run: v1.0; gemini-4-argon; Antigravity; effort High)5.84
6GPT-6.1 Sol (GDPx Run: v1.0; gpt-6-1-sol; Codex; effort Max)5.12
7Claude Sonnet 5.5 (GDPx Run: v1.0; claude-sonnet-5-5; Claude Code; effort Max)4.32
8Inkling (GDPx Run: v1.0; inkling; OpenCode; effort Highest)3.7
9Gemini 4 Carbon (GDPx Run: v1.0; gemini-4-carbon; Antigravity; effort High)3.44
10Claude Haiku 5.5 (GDPx Run: v1.0; claude-haiku-5-5; Claude Code; effort Max)1.76

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