PharmaBench - Document Structure - Mean Score: leaderboard

PharmaBench - Document Structure - 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
1Claude Sonnet 5.5 (PharmaBench Run: provider-default; coding-agent-unnamed)75.95
2Muse Wonder (PharmaBench Run: provider-default; coding-agent-unnamed)75.37
3Claude Fable 5.1 (PharmaBench Run: provider-default; coding-agent-unnamed)74.45
4Grok 4.6 (PharmaBench Run: provider-default; coding-agent-unnamed)73.76
5GPT-6 Astra (PharmaBench Run: provider-default; coding-agent-unnamed)73.36
6Claude Opus 5.5 (PharmaBench Run: provider-default; coding-agent-unnamed)71.14
7Gemini 4 Argon (PharmaBench Run: provider-default; coding-agent-unnamed)70.95
8Claude Opus 5 (PharmaBench Run: provider-default; coding-agent-unnamed)70.28
9Muse Spark 1.3 (PharmaBench Run: provider-default; coding-agent-unnamed)68.18
10Gemini 3.8 Flash (PharmaBench Run: provider-default; coding-agent-unnamed)67.15

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