Best LLM for Healthcare
Ranked for HIPAA-eligible deployments, clinical reasoning, and data-residency options. Compliance pillar dominates.
Updated April 2026. Top 3 this month: GPT-5, Gemini 2 Pro, Claude Opus 4.7.
How we rank
Healthcare workloads add a compliance layer on top of the usual quality tradeoff. A model that tops the leaderboard but has no BAA-covered deployment is not usable. We rank based on availability of HIPAA-eligible endpoints (via Azure, AWS Bedrock, or a provider-hosted enterprise tier), then clinical-reasoning benchmarks, then price.
Pillars and weights: HIPAA availability (45%) · MedQA (25%) · MMLU (15%) · price (15%). Our full methodology is published on the methodology page.
Top ranked models
| Rank | Model | Provider | Input $/1M | Output $/1M | Context |
|---|---|---|---|---|---|
| 1 | GPT-5 | OpenAI | $1.25 | $10.00 | 200,000 |
| 2 | Gemini 2 Pro | $3.50 | $10.50 | 2,000,000 | |
| 3 | Claude Opus 4.7 | Anthropic | $5.00 | $25.00 | 200,000 |
| 4 | Gemini 2.0 Flash-Lite | $0.07 | $0.30 | 1,000,000 | |
| 5 | Mistral 7B | Mistral | $0.20 | $0.20 | 32,768 |
| 6 | llama-3.2-1b-instruct | Meta | $0.20 | $0.20 | 60,000 |
| 7 | qwen2-1.5b-instruct | Alibaba (Qwen) | $0.20 | $0.20 | — |
| 8 | deepseek-chat | DeepSeek | $0.14 | $0.28 | 164,000 |
| 9 | GPT-5 nano | OpenAI | $0.05 | $0.40 | 400,000 |
| 10 | Gemini 2.0 Flash | $0.10 | $0.40 | 1,000,000 |
Tips for healthcare
- Confirm the BAA covers your specific deployment (e.g. Azure OpenAI vs. public OpenAI).
- De-identify PHI in prompts whenever possible to reduce exposure.
- Keep a human-in-the-loop for any patient-facing output.
Frequently asked questions
Is any LLM HIPAA-compliant?
HIPAA-eligible, yes — via providers that sign a BAA (Azure OpenAI, AWS Bedrock, some enterprise tiers). As of April 2026 our weighted top 3 HIPAA-ready options are GPT-5, Gemini 2 Pro, Claude Opus 4.7.
Can I use ChatGPT with patient data?
Only in a BAA-covered deployment. The consumer ChatGPT product is not covered.
What about PII in prompts?
Minimize it. Most healthcare deployments add a de-identification step before the LLM call.
Related tasks
Want to model your own workload? Use the volume and switch-cost calculators on the main tool page. Sign in with Google to unlock compare-my-prompt with real tokenizer counts.
Data refreshed daily via our snapshot cron. See our public JSON API for programmatic access.