Amazon Bedrock vs Google Vertex AI: Which is Better in 2026?
Choosing between Amazon Bedrock and Google Vertex AI comes down to understanding what each tool does best. This comparison breaks down the key differences so you can make an informed decision based on your specific needs, not marketing claims.
Bottom line: Google Vertex AI is our overall pick for AI & automation workflows. Pick Amazon Bedrock if you need its specific feature set.
Short on time? Here's the quick answer
We've tested both tools. Here's who should pick what:
Amazon Bedrock
Managed foundation models from AWS
Best for you if:
- • Amazon Bedrock is a platform for building and scaling generative AI applications and agents, offering access to a wide range of foundation models from leading AI companies.
- • It provides comprehensive capabilities for model choice, agent development (via AgentCore), customization with proprietary data, and robust security and guardrails.
Google Vertex AI
Unified AI platform for ML development
Best for you if:
- • Google Vertex AI is a unified ML platform for building, deploying, and managing AI models
- • It provides AutoML, custom training, model registry, and deployment to endpoints
| At a Glance |  Amazon Bedrock |  Google Vertex AI |
|---|---|---|
Starts at | Pay-per-use/token/imageOn-Demand | Usage-based/moPay-as-you-go |
Best For | AI & Automation | AI & Automation |
Rating | - | - |
Choose Amazon Bedrock or Google Vertex AI?
Choose Amazon Bedrock if
Managed foundation models from AWS
- Multiple model providers
- AWS integration
- Enterprise security
Choose Google Vertex AI if
Unified AI platform for ML development
- Unified ML platform
- AutoML included
- Good model management
| Feature | Amazon Bedrock | Google Vertex AI |
|---|---|---|
| Pricing Model | Usage_based | Paid |
| User Rating | ★4.5/5 276 reviews | ★4.3/5 651 reviews |
| Categories | AI & AutomationCloud & Infrastructure | AI & AutomationCloud & Infrastructure |
In-Depth Analysis
Amazon Bedrock
Managed foundation models from AWS
Strengths
- +Multiple model providers
- +AWS integration
- +Enterprise security
Weaknesses
- -AWS lock-in
- -Complex pricing
Key features
Google Vertex AI
Unified AI platform for ML development
Strengths
- +Unified ML platform
- +AutoML included
- +Good model management
- +Gemini integration
- +Feature store
Weaknesses
- -Expensive
- -Complex pricing
- -Learning curve
- -Vendor lock-in
- -Documentation gaps
Key features
Pricing: Amazon Bedrock vs Google Vertex AI
| Plan | Amazon Bedrock | Google Vertex AI |
|---|---|---|
| Tier 1 | Pay-per-use /token/image On-Demand | Free Free Tier |
| Tier 2 | 50% off async processing Batch | Usage-based Pay-as-you-go |
| Tier 3 | Custom reserved capacity Provisioned | N/A |
Pricing verified from each vendor's public pricing page. Compare in detail on Amazon Bedrock pricing and Google Vertex AI pricing.
Who Should Use What?
On a budget?
Both are usage_based. Compare plans on their websites.
Go with: Google Vertex AI
Want the highest-rated option?
Neither has user reviews yet.
Go with: Amazon Bedrock
Value user reviews?
Neither has user reviews yet.
Go with: Google Vertex AI
3 Questions to Help You Decide
What's your budget?
Amazon Bedrock is usage_based. Google Vertex AI is paid.
What's your use case?
Both are ai & automation tools. Compare their specific features to decide.
How important are ratings?
Neither has user reviews yet.
Key Takeaways
Google Vertex AI
- Larger review base (651 reviews)
- Our pick for this comparison
Amazon Bedrock
- Higher user rating: 4.5/5 vs 4.3/5
The Bottom Line
Google Vertex AI is our pick.
Frequently Asked Questions
Is Amazon Bedrock or Google Vertex AI better?
Google Vertex AI is rated in our evaluation. Amazon Bedrock is usage_based and Google Vertex AI is paid.
What are Amazon Bedrock and Google Vertex AI used for?
Amazon Bedrock: Managed foundation models from AWS. Google Vertex AI: Unified AI platform for ML development.
What does Amazon Bedrock cost vs Google Vertex AI?
Amazon Bedrock is a paid tool. Google Vertex AI is a paid tool. Visit their websites for detailed pricing.