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AWS Bedrock vs Vertex AI — Which Is Better in 2026?

AWS Bedrock vs Vertex AI: independent head-to-head scored on Performance, Value, Reliability, and Ease of Use. See scores, pros, cons, and our verdict.

Updated: 2026-04-11How we score →

Amazon

AWS Bedrock

Best enterprise AI for AWS teams

Google Cloud

Vertex AI

Best enterprise AI for Google Cloud teams

8.3

Overall Score

8.4

Overall Score

WINNER
8.5
Performance
8.8
7.8
Value
8.0
9.5
Reliability
9.0
7.0
Ease of Use
7.5

Our Verdict

Vertex AI scores higher overall (8.4/10 vs 8.3/10), winning on Performance and Value. Best for Google Cloud teams. Gemini natively integrated.

Pricing — AWS Bedrock

Pay-per-token (varies by model) · No base fee

Pricing — Vertex AI

Pay-per-use (varies by model) · Google Cloud pricing

AWS Bedrock

Pros

  • Access to 30+ foundation models in one API
  • AWS security, compliance, and SLA guarantees
  • VPC isolation for sensitive data

Cons

  • Complex pricing — hard to estimate costs
  • AWS ecosystem lock-in
  • Higher setup friction than direct model APIs

Best For

AWS-native enterprises, regulated industries, teams needing model flexibility

Vertex AI

Pros

  • Native Gemini access with Google Cloud SLAs
  • MLOps tools: Model Garden, Pipelines, Feature Store
  • Strong for custom model training and deployment

Cons

  • Google Cloud dependency
  • More complex than direct Gemini API
  • Pricing harder to predict than flat subscriptions

Best For

Google Cloud teams, custom model training, MLOps-heavy organisations

Choose AWS Bedrock if…

  • Reliability is your top priority — AWS Bedrock leads by 0.5 points
  • AWS-native enterprises
  • Amazon support, documentation, and community suit your team

Choose Vertex AI if…

  • Performance is your top priority — Vertex AI leads by 0.3 points
  • Google Cloud teams
  • You also value Value — Vertex AI wins that dimension too

Frequently Asked Questions

Is AWS Bedrock better than Vertex AI?

Vertex AI scores 8.4/10 overall vs 8.3/10 for AWS Bedrock, with an edge on Performance and Value and Ease of Use. That said, "AWS Bedrock" may be the better pick if reliability is your priority. The right choice depends on your use case.

What is the pricing difference between AWS Bedrock and Vertex AI?

AWS Bedrock: Pay-per-token (varies by model) · No base fee. Vertex AI: Pay-per-use (varies by model) · Google Cloud pricing. Compare usage volumes and features needed to determine total cost of ownership for your team.

Which is better for google cloud teams?

Vertex AI is generally stronger here, scoring 8.4/10 overall. Best for Google Cloud teams. Gemini natively integrated. For more niche requirements like reliability, AWS Bedrock may be worth evaluating.

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