SCOPE - GEPA Plan: leaderboard

SCOPE - GEPA Plan. The SCOPE paper compares GPT-5.4 nano, GPT-5.4 mini, and Gemini 3.5 Flash with reasoning disabled on fixed test splits. Each prompt or generated-program condition is kept separate. Optimized conditions use Claude Opus 4.8 as the common analyzer, decomposer, adversarial helper, or teacher; programs remain specific to their executor. Results average nine measurements: three optimization runs and three test repetitions. Direct prompting uses the original task specification. Coaching, Escalation, and Plan report classification accuracy. Tile-match reports mean Jaccard overlap between predicted and correct label sets, not exact-match accuracy. Reported metric: Accuracy (0–1).

Metric: Accuracy (0–1). Source: arxiv.org. Saturation forecast: Around January 2027. 3 models tracked.

Top models

#ModelScoreOverall rank
1GPT-5.4 Mini (Non-reasoning)0.81#216 (GPT-5.4 Mini)
2GPT-5.4 Nano (Non-reasoning)0.66#348 (GPT-5.4 Nano)

No result here: #5 Claude Opus 5.5, #6 GPT-6 Astra, #7 GPT-6.1 Sol.

Interactive version: theaggregate.ai/benchmark?slug=scope-gepa-plan · How It Works · Data refreshed daily, snapshot 2026-10-25.