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Amazon Bedrock vs Google Vertex AI

A head-to-head look at Amazon Bedrock and Google Vertex AI across pricing, features, strengths, and weaknesses.

FeatureAmazon BedrockGoogle Vertex AI
Editorial score★ 4.5 / 5★ 4.5 / 5
PricingUsage-based AWS billing; provisioned throughput optionsUsage-based Google Cloud billing; free credits for new users
Pros
  • +Model choice without new vendor contracts
  • +Fits existing AWS security practices
  • +One API across many frontier and open models
  • +Strongest fit for teams already on Google Cloud
  • +Full lifecycle from data to deployment
  • +Full lifecycle from data to deployment
Cons
  • −Per-model feature support varies
  • −Costs can be hard to predict across different models
  • −Model availability varies by AWS region
  • −Console breadth can overwhelm newcomers
  • −Console breadth can overwhelm newcomers
  • −Pricing across many services is hard to predict
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Editor’s verdict

AWS Bedrock provides a model-agnostic API with broad third-party model access and deep AWS integration; Vertex AI offers tight Google Cloud integration, Gemini models, and unified MLOps tooling. Choose Bedrock for multi-model flexibility in AWS; choose Vertex AI for Google Cloud synergy and Gemini-native capabilities.

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