PharmaBench - Regulatory Review - Pass Rate: leaderboard

PharmaBench - Regulatory Review - Pass Rate: Pass rate (%). 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: Pass rate (%). Source: www.micro1.ai. Saturation forecast: Rough model projection: around 2026. 11 models tracked.

Top models

#ModelScoreOverall rank
1GPT-6 Astra (PharmaBench Run: provider-default; coding-agent-unnamed)13.89
2Muse Spark 1.3 (PharmaBench Run: provider-default; coding-agent-unnamed)8.33
3Muse Wonder (PharmaBench Run: provider-default; coding-agent-unnamed)8.33
4Grok 4.6 (PharmaBench Run: provider-default; coding-agent-unnamed)5.56
5Muse Spark 1.1 (PharmaBench Run: provider-default; coding-agent-unnamed)5.56
6Gemini 4 Argon (PharmaBench Run: provider-default; coding-agent-unnamed)4.17
7Claude Sonnet 5.5 (PharmaBench Run: provider-default; coding-agent-unnamed)2.78
8Claude Opus 5.5 (PharmaBench Run: provider-default; coding-agent-unnamed)2.78
9Claude Fable 5.1 (PharmaBench Run: provider-default; coding-agent-unnamed)1.39
10Claude Opus 5 (PharmaBench Run: provider-default; coding-agent-unnamed)0

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