GMP Bench

LLM Benchmark for Pharmaceutical Manufacturing

GMP Bench evaluates large language models on their ability to understand pharmaceutical Good Manufacturing Practice regulations, generate compliant documentation, and assist with quality-critical tasks. Community-driven test cases ensure relevance to real-world GMP operations.

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Top Models

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#	Model	Score	Provider
1	Claude Haiku 3	90.3%	Anthropic
2	GPT-5-nano	83.3%	OpenAI

What We Test

Knowledge QA

Tests regulatory knowledge across ICH guidelines, FDA CFR Part 211, EU GMP Annex requirements, and pharmacopeia standards. Questions are graded against verified reference answers.

Task Completion

Evaluates the ability to generate compliant SOPs, deviation reports, CAPA plans, and batch record narratives. Outputs are scored by an LLM-as-judge on accuracy, completeness, and regulatory alignment.

Community Driven

Test cases are submitted and voted on by pharmaceutical professionals. This ensures the benchmark reflects real challenges encountered in GMP-regulated environments.

How It Works

Submit a Test Case

Propose a GMP knowledge question or document generation task with a reference answer or scoring rubric.

Models Are Evaluated

Each model runs the test case. Knowledge QA is scored against reference answers. Tasks are evaluated by an LLM judge.

Compare Results

View rankings on the leaderboard. Filter by category, provider, or local vs. hosted deployment.