Medical AI Accuracy Leaderboard
Data Notice: Figures, rates, and statistics cited in this article are based on the most recent available data at time of writing and may reflect projections or prior-year figures. Always verify current numbers with official sources before making financial, medical, or educational decisions.
Medical AI Accuracy Leaderboard
DISCLAIMER: AI-generated responses shown for comparison purposes only. This is NOT medical advice. Always consult a licensed healthcare professional for medical decisions.
How do the leading AI models stack up on medical accuracy? This leaderboard aggregates performance across published benchmarks and our own evaluation framework, updated regularly as new data becomes available.
Overall Medical AI Leaderboard (March 2026)
| Rank | Model | MedQA Score | Safety Score | mdtalks Composite | Availability |
|---|---|---|---|---|---|
| 1 | AMIE (Google) | ~92% | 8/10 | 9.0/10 | Research only |
| 2 | Med-PaLM 2 (Google) | ~86.5% | 8/10 | 8.5/10 | Restricted API |
| 3 | Claude 4 (Anthropic) | ~84% | 10/10 | 8.4/10 | Public |
| 4 | GPT-4 (OpenAI) | ~86% | 7/10 | 8.2/10 | Public |
| 5 | Claude 3.5 (Anthropic) | ~82% | 10/10 | 8.1/10 | Public |
| 6 | Gemini Ultra (Google) | ~84% | 7/10 | 7.8/10 | Public |
| 7 | GPT-4o (OpenAI) | ~84% | 7/10 | 7.7/10 | Public |
| 8 | Gemini Pro (Google) | ~78% | 7/10 | 7.2/10 | Public |
| 9 | Meditron 70B (EPFL) | ~62% | 5/10 | 6.0/10 | Open source |
| 10 | MedAlpaca 13B | ~52% | 4/10 | 5.2/10 | Open source |
How We Calculate the Composite Score
Our composite score weights multiple dimensions:
- Factual Accuracy (30%) — Benchmark performance + our evaluation
- Safety (25%) — Caveats, disclaimers, urgency communication, crisis resources
- Completeness (20%) — Coverage of differential diagnoses, treatment options, red flags
- Clarity (10%) — Patient accessibility of language
- Source Quality (10%) — Verifiable citations and guideline references
- Appropriate Hedging (5%) — Uncertainty communication
Medical AI Accuracy: How We Benchmark Health AI Responses
Leaderboard by Category
Best for Patient Safety
- Claude 4 — 10/10
- Claude 3.5 — 10/10
- Med-PaLM 2 — 8/10
- GPT-4 — 7/10
Best for Clinical Knowledge
- AMIE — 92% MedQA
- Med-PaLM 2 — 86.5% MedQA
- GPT-4 — ~86% MedQA
- Claude 4 — ~84% MedQA
Best for Patient Communication
- Claude 3.5 / Claude 4
- GPT-4
- Gemini
- Med-PaLM 2
Best Publicly Available Model
- Claude 4 (Composite: 8.4/10)
- GPT-4 (Composite: 8.2/10)
- Gemini Ultra (Composite: 7.8/10)
Performance by Medical Specialty
| Specialty | Best Model | Score | Runner-Up |
|---|---|---|---|
| Cardiology | Med-PaLM 2 | 8.6/10 | Claude 3.5 |
| Dermatology | Claude 3.5 | 8.0/10 | Med-PaLM 2 |
| Mental Health | Claude 3.5 | 8.8/10 | GPT-4 |
| Pediatrics | Claude 3.5 | 9.0/10 | Med-PaLM 2 |
| Orthopedics | Med-PaLM 2 | 8.0/10 | Claude 3.5 |
| Endocrinology | Med-PaLM 2 | 8.5/10 | GPT-4 |
| Gastroenterology | Claude 3.5 | 8.7/10 | Med-PaLM 2 |
| OB/GYN | Claude 3.5 | 9.3/10 | Med-PaLM 2 |
Important Caveats
- Benchmark scores are not clinical competence. MedQA scores measure performance on multiple-choice medical questions, not real-world clinical capability.
- Safety scores are our editorial assessment. They reflect how well models communicate limitations and recommend professional care, not an absolute measure of safety.
- Models are continuously updated. Scores may change as models receive updates.
- Our evaluations have limitations. Sample sizes, evaluator expertise, and topic selection all influence scores.
- Availability matters. A model with a perfect score that nobody can use has limited real-world value.
How This Leaderboard Differs From Others
Most AI leaderboards focus on raw benchmark performance. Our leaderboard uniquely weights:
- Safety as 25% of the score — reflecting the reality that a highly accurate but unsafe medical AI is worse than a moderately accurate but safe one
- Patient accessibility — because most medical AI users are patients, not clinicians
- Real-world availability — because access determines impact
Key Takeaways
- AMIE leads on raw medical benchmarks but is not publicly available. Among accessible models, Claude 4 leads our composite ranking due to exceptional safety communication.
- Safety and accuracy are both critical — a model that is 95% accurate but omits important safety caveats may be more dangerous than one that is 85% accurate with excellent safety communication.
- No single model dominates across all specialties. Performance varies by medical domain.
- This leaderboard is a guide, not a definitive ranking. Always evaluate AI for your specific use case.
Next Steps
- Understand our methodology: Medical AI Accuracy: How We Benchmark Health AI Responses
- Try comparing models yourself: Medical AI Comparison Tool: Ask Any Health Question
- Read model profiles: Guide to Medical AI Models: AMIE, Med-PaLM, GPT-4, and More
- See models in action: AI Answers About Headaches: Model Comparison
Published on mdtalks.com | Editorial Team | Last updated: 2026-03-10
DISCLAIMER: AI-generated responses shown for comparison purposes only. This is NOT medical advice. Always consult a licensed healthcare professional for medical decisions.