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AI for Pharma

255 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.

How we rank: composite score (benchmark scores 90%, capabilities 5%, context window 5%) adjusted with use-case-specific capability bonuses.
255
Total Ranked
255
Reasoning
250
128K+ Context
142
Web Search

Pharma AI - Ranked by Life Sciences Score

#ModelScore
1Claude Fable 5.1Anthropic96
2Claude Fable 5.1 (batch)Anthropic96
3Claude Fable 5Anthropic96
4Claude Fable 5 (batch)Anthropic96
5Claude Opus 5.5Anthropic95
6Claude Opus 5Anthropic95
7Claude Opus 4.8Anthropic95
8Claude Opus 4.7Anthropic95
9GPT-5.5 ProOpenAI93
10GPT-5.5 Pro (batch)OpenAI93
11GPT-5.5OpenAI93
12Gemini 3.1 Pro Preview Custom ToolsGoogle92
13Gemini 3.1 Pro PreviewGoogle92
14Gemini 3.1 Pro Preview (batch)Google92
15GPT-5.4 ProOpenAI92
16GPT-5.4 Pro (batch)OpenAI92
17GPT-5.4OpenAI92
18GPT-5.3-CodexOpenAI91
19GPT-5.2-CodexOpenAI91
20GPT-5.2 ProOpenAI91
21GPT-5.2 Pro (batch)OpenAI91
22GPT-5.2OpenAI91
23Claude Opus 4.6Anthropic90
24GPT-5.6 Luna ProOpenAI89
25GPT-5.6 Luna Pro (batch)OpenAI89
26GPT-5.6 LunaOpenAI89
27GPT-5.6 Luna (batch)OpenAI89
28GPT-5.6 Terra ProOpenAI89
29GPT-5.6 Terra Pro (batch)OpenAI89
30GPT-5.6 TerraOpenAI89

AI for Pharma & Life Sciences

Drug Discovery

Analyze molecular structures, predict drug-target interactions, and generate candidate compounds. Reasoning models evaluate pharmacokinetic properties and safety profiles.

Clinical Trial Analysis

Process trial data, generate statistical summaries, and identify adverse events. Large context handles full study protocols and regulatory submissions.

Literature Review

Search and synthesize scientific publications, patents, and clinical guidelines. Web search models access the latest research for up-to-date evidence summaries.

Regulatory Submissions

Draft IND applications, NDA sections, and compliance documents. JSON mode produces structured data for eCTD submissions and FDA databases.

Frequently Asked Questions

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.

AI for Pharma - Best AI Models for Drug R&D | LM Market Cap