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 325+ models.
300
Total Models
144
With Reasoning
131
With Vision
232
With JSON Mode
145
Open Source (HIPAA)
| # | Model | Score |
|---|---|---|
| 1 | GPT-5.4 ProOpenAI | 117 |
| 2 | GPT-5.4OpenAI | 117 |
| 3 | GPT-5.4 MiniOpenAI | 116 |
| 4 | GPT-5.2 ProOpenAI | 116 |
| 5 | GPT-5.2OpenAI | 116 |
| 6 | Claude Opus 4.6Anthropic | 115 |
| 7 | GPT-5 ProOpenAI | 115 |
| 8 | o3 Deep ResearchOpenAI | 115 |
| 9 | Claude Opus 4.5Anthropic | 113 |
| 10 | GPT-5OpenAI | 113 |
| 11 | Gemini 3 Flash PreviewGoogle | 112 |
| 12 | Claude Sonnet 4.6Anthropic | 112 |
| 13 | Claude Sonnet 4.5Anthropic | 112 |
| 14 | o3 ProOpenAI | 111 |
| 15 | Grok 4.1 FastxAI | 110 |
| 16 | Grok 4.20 BetaxAI | 109 |
| 17 | Grok 4xAI | 109 |
| 18 | Gemini 3.1 Pro PreviewGoogle | 109 |
| 19 | o3OpenAI | 109 |
| 20 | GPT-5.1OpenAI | 108 |
| 21 | MiMo-V2-OmniXiaomi | 108 |
| 22 | GPT-5.4 NanoOpenAI | 108 |
| 23 | Seed-2.0-LiteByteDance | 108 |
| 24 | Qwen3.5-9BAlibaba | 108 |
| 25 | Seed-2.0-MiniByteDance | 108 |
| 26 | Gemini 3.1 Pro Preview Custom ToolsGoogle | 108 |
| 27 | GPT-5.3-CodexOpenAI | 108 |
| 28 | Qwen3.5 Plus 2026-02-15Alibaba | 108 |
| 29 | Kimi K2.5Moonshot AI | 108 |
| 30 | GPT-5.2-CodexOpenAI | 108 |
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.
Based on our composite scoring updated hourly, the top-ranked models are shown at the top of this page. Rankings consider benchmarks, pricing, capabilities, and community adoption.
Yes, several models listed on this page offer free tiers or are fully open-source. Look for models marked as Free in the pricing column above.
We use a composite scoring system combining benchmark performance, capability matching, pricing, context window size, and community adoption. Scores are updated hourly.
Rankings refresh every hour using real-time data from benchmarks, API testing, and community metrics. The data shown always reflects the most current performance.