182 models ranked for pharmaceutical and life sciences. Scored with bonuses for reasoning (research analysis), large context (papers/patents), JSON mode (structured data), web search (literature), and function calling.
| # | Model | Score |
|---|---|---|
| 1 | GPT-5.4 ProOpenAI | 92 |
| 2 | GPT-5.4OpenAI | 92 |
| 3 | GPT-5.2 ProOpenAI | 91 |
| 4 | Claude Opus 4.6 (Fast)Anthropic | 90 |
| 5 | Claude Opus 4.6Anthropic | 90 |
| 6 | Grok 4.20xAI | 89 |
| 7 | GPT-5.3-CodexOpenAI | 89 |
| 8 | GPT-5 ProOpenAI | 89 |
| 9 | Gemini 3 Flash PreviewGoogle | 88 |
| 10 | Grok 4xAI | 88 |
| 11 | GPT-5.1-Codex-MaxOpenAI | 88 |
| 12 | GPT-5.2-CodexOpenAI | 90 |
| 13 | GPT-5.2OpenAI | 90 |
| 14 | o3 Deep ResearchOpenAI | 87 |
| 15 | o3 ProOpenAI | 87 |
| 16 | o3OpenAI | 87 |
| 17 | Grok 4.20 Multi-AgentxAI | 88 |
| 18 | Claude Sonnet 4.6Anthropic | 85 |
| 19 | Claude Opus 4.5Anthropic | 85 |
| 20 | GPT-5 CodexOpenAI | 88 |
| 21 | GPT-5OpenAI | 88 |
| 22 | GPT-5.1OpenAI | 87 |
| 23 | GPT-5.1-CodexOpenAI | 87 |
| 24 | GPT-5.1-Codex-MiniOpenAI | 87 |
| 25 | Gemini 2.5 ProGoogle | 84 |
| 26 | Gemini 2.5 Pro Preview 06-05Google | 84 |
| 27 | Gemini 2.5 Pro Preview 05-06Google | 84 |
| 28 | Claude Sonnet 4.5Anthropic | 82 |
| 29 | o4 Mini Deep ResearchOpenAI | 81 |
| 30 | o4 MiniOpenAI | 81 |
Analyze molecular structures, predict drug-target interactions, and generate candidate compounds. Reasoning models evaluate pharmacokinetic properties and safety profiles.
Process trial data, generate statistical summaries, and identify adverse events. Large context handles full study protocols and regulatory submissions.
Search and synthesize scientific publications, patents, and clinical guidelines. Web search models access the latest research for up-to-date evidence summaries.
Draft IND applications, NDA sections, and compliance documents. JSON mode produces structured data for eCTD submissions and FDA databases.
Reasoning models analyze molecular structures, predict drug-target interactions, and review clinical trial literature. They help with study design, statistical analysis plans, and regulatory submission drafts. Large context processes lengthy FDA guidance documents and ICH guidelines.
Models with web search access current FDA, EMA, and PMDA regulations. Reasoning handles complex compliance requirements across multiple jurisdictions. They draft CTD sections, assess regulatory risk, and prepare responses to agency questions. Always validate with regulatory affairs professionals.
Large output (16K+ tokens) for complete clinical study reports. Reasoning for accurate medical/scientific content. Large context for processing study data and source documents simultaneously. Web search for current medical literature and guidelines.
Models assist with ICSR processing, signal detection, and aggregate safety report drafting. Reasoning identifies potential safety signals from case narratives. JSON mode outputs structured MedDRA-coded data. Human pharmacovigilance professionals must review all safety assessments.