PharmaBench - Regulatory Review - Mean Score: leaderboard

PharmaBench - Regulatory Review - Mean Score: Mean rubric score (%). PharmaBench: 120 tasks across eight synthetic drug programs, three runs per task, same unnamed open-source coding agent in an isolated shell/Python/document sandbox without internet. The original eleven-model report uses provider-default reasoning and an unnamed LLM rubric judge; late scoreboard top-up settings are not separately reported. Pass means every required criterion met and no penalty; mean is rubric reward averaged over runs then tasks. Group breakdowns retain the eleven-model report.

Metric: Mean rubric score (%). Source: www.micro1.ai. Saturation forecast: Rough model projection: around 2026. 11 models tracked.

Top models

#ModelScoreOverall rank
1Muse Wonder (PharmaBench Run: provider-default; coding-agent-unnamed)77.04
2GPT-6 Astra (PharmaBench Run: provider-default; coding-agent-unnamed)75.74
3Muse Spark 1.3 (PharmaBench Run: provider-default; coding-agent-unnamed)71.25
4Claude Fable 5.1 (PharmaBench Run: provider-default; coding-agent-unnamed)68.92
5Grok 4.6 (PharmaBench Run: provider-default; coding-agent-unnamed)68.7
6Claude Sonnet 5.5 (PharmaBench Run: provider-default; coding-agent-unnamed)67.71
7Claude Opus 5.5 (PharmaBench Run: provider-default; coding-agent-unnamed)65.66
8Claude Opus 5 (PharmaBench Run: provider-default; coding-agent-unnamed)64.85
9Gemini 4 Argon (PharmaBench Run: provider-default; coding-agent-unnamed)64.01
10Muse Spark 1.1 (PharmaBench Run: provider-default; coding-agent-unnamed)61.7

Interactive version: theaggregate.ai/benchmark?slug=pharmabench-regulatory-review-mean-score · How It Works · Data refreshed daily, snapshot 2026-11-06.