The best AI models for healthcare applications, ranked with a healthcare-specific composite score. Models are scored on reasoning (clinical decisions), structured JSON output (medical data), large context windows (patient records), and vision (medical imaging). Updated hourly from 365+ models.
180
Total Models
180
With Reasoning
101
With Vision
149
With JSON Mode
80
Open Source (HIPAA)
| # | Model | Score |
|---|---|---|
| 1 | Claude Opus 4.7Anthropic | 118 |
| 2 | GPT-5.5OpenAI | 116 |
| 3 | Gemini 3.1 Pro Preview Custom ToolsGoogle | 115 |
| 4 | Gemini 3.1 Pro PreviewGoogle | 115 |
| 5 | GPT-5.4 ProOpenAI | 115 |
| 6 | GPT-5.4OpenAI | 115 |
| 7 | GPT-5.5 ProOpenAI | 114 |
| 8 | GPT-5.2 ProOpenAI | 114 |
| 9 | Claude Opus 4.6 (Fast)Anthropic | 113 |
| 10 | Claude Opus 4.6Anthropic | 113 |
| 11 | GPT-5.2-CodexOpenAI | 113 |
| 12 | GPT-5.2OpenAI | 113 |
| 13 | Grok 4.20xAI | 112 |
| 14 | GPT-5.3-CodexOpenAI | 112 |
| 15 | GPT-5 ProOpenAI | 112 |
| 16 | Gemini 3 Flash PreviewGoogle | 111 |
| 17 | Grok 4xAI | 111 |
| 18 | Grok 4.20 Multi-AgentxAI | 111 |
| 19 | GPT-5.1-Codex-MaxOpenAI | 111 |
| 20 | GPT-5 CodexOpenAI | 111 |
| 21 | GPT-5OpenAI | 111 |
| 22 | GPT-5.1OpenAI | 110 |
| 23 | GPT-5.1-CodexOpenAI | 110 |
| 24 | GPT-5.1-Codex-MiniOpenAI | 110 |
| 25 | o3 Deep ResearchOpenAI | 110 |
| 26 | o3 ProOpenAI | 110 |
| 27 | o3OpenAI | 110 |
| 28 | Claude Sonnet 4.6Anthropic | 108 |
| 29 | Claude Opus 4.5Anthropic | 108 |
| 30 | DeepSeek V4 ProDeepSeek | 107 |
AI models with advanced reasoning can assist clinicians by analyzing symptoms, lab results, and patient history to suggest differential diagnoses and treatment options. Models with reasoning capabilities (+10 score bonus) excel at the multi-step logic required for clinical decision-making.
Structured JSON output is critical for integrating AI into electronic health records (EHR) and clinical workflows. Models with JSON mode (+5 score bonus) can generate structured clinical notes, extract ICD codes, and produce FHIR-compatible data for seamless system integration.
Vision-capable models (+3 score bonus) can interpret medical images including X-rays, CT scans, dermatological photos, and pathology slides. While not a replacement for specialized radiology AI, general-purpose vision models can assist with preliminary screening and image-based triage.
Healthcare data is subject to strict regulations like HIPAA, GDPR, and HITECH. Open-source models can be self-hosted on private infrastructure, ensuring patient data never leaves your network. Models with large context windows (+5 bonus for 128K+) can process entire patient records in a single request without external chunking services.
Dive deeper into specific capabilities or compare models on the full leaderboard.
AI models assist with differential diagnosis, medical literature review, and clinical decision support, but they are not FDA-approved diagnostic devices. They should augment, not replace, clinical judgment. Always validate outputs with licensed healthcare professionals.
Most major providers offer HIPAA-compliant API tiers with Business Associate Agreements (BAAs). For maximum compliance, self-host open-source models on HIPAA-compliant infrastructure. Never send PHI through standard consumer AI interfaces.
Reasoning is critical for clinical decision support and treatment planning. Vision analyzes medical images (X-rays, pathology slides). Large context processes patient histories and research papers. Web search accesses current medical literature and drug interactions.
AI automates clinical documentation (note generation from encounters), summarizes patient histories, drafts referral letters, and handles prior authorization paperwork. Models with streaming enable real-time documentation during patient visits, saving 2-3 hours daily.