Both are commercial model provider options with comparable terms, so the choice comes down to which model of the problem you prefer — compare the descriptions below rather than the licence.
Frontier models inside your AWS account, with IAM and VPC boundaries.
Use when procurement needs the model call to stay inside your cloud account.
Strong reasoning and coding at a fraction of frontier pricing, with the weights published so you can move off the API later.
OpenAI-compatible, so it is a base-URL swap. The open weights are the real hedge: if the hosted API is ever unacceptable, the same model runs on vLLM.
| Amazon Bedrock | DeepSeek | |
|---|---|---|
| Licence | Proprietary | Proprietary |
| Pricing | usage based | usage based |
| Self-hostable | No | No |
| Languages | TypeScript, Python | TypeScript, Python |
| Install | — | — |
| Keys required | AWS_REGION, AWS_ACCESS_KEY_ID, AWS_SECRET_ACCESS_KEY | DEEPSEEK_API_KEY |
Both are commercial model provider options with comparable terms, so the choice comes down to which model of the problem you prefer — compare the descriptions below rather than the licence. Amazon Bedrock: Frontier models inside your AWS account, with IAM and VPC boundaries. DeepSeek: Strong reasoning and coding at a fraction of frontier pricing, with the weights published so you can move off the API later.
Amazon Bedrock is a hosted service only. DeepSeek is a hosted service only.
Amazon Bedrock is proprietary (usage based). DeepSeek is proprietary (usage based).
Every page here answers to Accept: text/markdown and returns the same content at roughly a tenth the tokens. No separate site, no toggle — same URL.
curl -s -H "Accept: text/markdown" https://newagent.build/compare/bedrock-vs-deepseek