AI on AWS · Insights ·
AWS Bedrock vs OpenAI API: which should enterprises choose?
A decision lens for security, data residency, operations, and cost — not a feature scorecard.
Enterprises ask us this weekly: Bedrock in our AWS account, or OpenAI via API? The honest answer is often both for a while — but your production system of record should match your risk model.
When Bedrock is the better default
- Data and inference should stay in your AWS boundary with IAM and KMS you already audit
- You need consistent CloudTrail logging and account-level guardrails
- Teams already run on AWS and want one invoice, one support path
- You are building RAG over private documents in S3/OpenSearch
When OpenAI API still makes sense
- You need a specific frontier model before it lands on Bedrock
- A small product team is prototyping outside core regulated data
- You have a short-term pilot with no customer PII and clear sunset date
Treat public API pilots as disposable unless legal and security sign off on production use.
Compare on these axes — not hype
| Axis | Bedrock | OpenAI API |
|---|---|---|
| Identity | IAM, SSO, SCPs | API keys (manage carefully) |
| Data path | Stays in AWS contract boundary | Leaves to OpenAI per their terms |
| Ops model | Same as your cloud ops | Third-party dependency |
| Cost visibility | AWS Cost Explorer + tags | Separate billing |
| Model choice | Growing catalog | Often leading on day zero |
Our recommendation for regulated-ish SMBs
Standardize on Bedrock for internal knowledge and customer-facing apps that touch sensitive data. Allow controlled OpenAI experiments in non-prod with synthetic data only.
Next steps: secure internal ChatGPT on AWS for architecture, then AI governance before you onboard hundreds of users.