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 298+ models.
293
Total Models
128
With Reasoning
125
With Vision
226
With JSON Mode
178
Open Source (HIPAA)
| # | Model | Score |
|---|---|---|
| 1 | GPT-5.4 ProOpenAI | 114 |
| 2 | GPT-5.2 ProOpenAI | 113 |
| 3 | GPT-5 ProOpenAI | 113 |
| 4 | o3 ProOpenAI | 105 |
| 5 | Claude Opus 4.1Anthropic | 104 |
| 6 | o1-proOpenAI | 100 |
| 7 | o3 Deep ResearchOpenAI | 97 |
| 8 | Claude Opus 4.6Anthropic | 94 |
| 9 | Claude Opus 4Anthropic | 94 |
| 10 | Claude Opus 4.5Anthropic | 93 |
| 11 | GPT-5.4OpenAI | 93 |
| 12 | Claude Sonnet 4.5Anthropic | 92 |
| 13 | Qwen3 VL 30B A3B ThinkingAlibaba | 92 |
| 14 | Qwen3 VL 235B A22B ThinkingAlibaba | 92 |
| 15 | GPT-5.2OpenAI | 91 |
| 16 | Gemini 3.1 Pro Preview Custom ToolsGoogle | 91 |
| 17 | Gemini 3.1 Pro PreviewGoogle | 91 |
| 18 | Gemini 3 Pro PreviewGoogle | 91 |
| 19 | Claude Sonnet 4.6Anthropic | 91 |
| 20 | GPT-5.1OpenAI | 90 |
| 21 | GPT-5.3-CodexOpenAI | 90 |
| 22 | GPT-5.2-CodexOpenAI | 90 |
| 23 | GPT-5OpenAI | 90 |
| 24 | Gemini 3 Flash PreviewGoogle | 89 |
| 25 | o4 Mini Deep ResearchOpenAI | 89 |
| 26 | GPT-5.1-Codex-MaxOpenAI | 89 |
| 27 | Gemini 3.1 Flash Lite PreviewGoogle | 89 |
| 28 | Gemini 2.5 ProGoogle | 89 |
| 29 | Gemini 2.5 Flash Lite Preview 09-2025Google | 88 |
| 30 | GPT-5 MiniOpenAI | 88 |
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.