Medical AI APIs
37 – 36Anthropic Claude API by 1
| Dimension | Anthropic Claude API | Google Vertex AI | Gap |
|---|---|---|---|
| Developer experienceSDK quality, OpenAI-compatible interfaces, JSON and structured output modes, documentation depth, model choice, rate limits and production reliability. | 10 | 8 | +2 |
| Clinical groundingWhat the API returns without you building a retrieval layer: whether answers are grounded in clinical literature by default, and whether citations point to identifiable primary sources. | 6 | 7 | -1 |
| Reasoning transparencyWhether the response exposes an inspectable reasoning trace and structured clinical output such as a ranked differential, or returns free text you must parse and trust. | 5 | 5 | — |
| Compliance & BAABreadth and maturity of Business Associate Agreement coverage, zero-retention options, which endpoints and features are actually in scope, and audit logging support. | 9 | 9 | — |
| Cost & accessPublished token or request pricing, free tier for evaluation, contracting friction, and whether a small team can ship without an enterprise agreement. | 7 | 7 | — |
Anthropic Claude API
- Best for
- Teams that want strong long-context reasoning over clinical documents, with the option to run under the AWS or Google Cloud BAA instead of contracting directly.
- Limitation
- Not grounded in a clinical corpus by default and does not reliably cite primary literature, so you must build retrieval and citation yourself. Consumer Claude.ai is not BAA-eligible and must never touch PHI.
- Price
- Published per-token pricing; BAA on enterprise plans
Google Vertex AI
- Best for
- Teams on Google Cloud that want Gemini plus health-specific model options and Healthcare API adjacency under one BAA.
- Limitation
- The BAA must be in place at organization level with the regulated-data flag set per project, which is a common source of failed compliance reviews. Consumer Gemini apps are not covered.
- Price
- Published per-token pricing; BAA at Google Cloud org level
