Amazon Bedrock logoAmazon Bedrock
vs
Vertex AI logoVertex AI

Amazon Bedrock vs Vertex AI: Which is Better in 2026?

A comprehensive comparison of Amazon Bedrock and Vertex AI covering features, pricing, use cases, and which tool is the right choice for your needs.

⚡ Quick Verdict

Choose Amazon Bedrock if:

  • You need access claude, llama, titan, stability ai in one api or private model fine-tuning with your data

Choose Vertex AI if:

  • You want a free tier to get started without commitment
  • You want more affordable paid plans (from $0.075/mo)
  • You need gemini ultra, pro, flash, and nano model access or imagen 3 for text-to-image generation

Amazon Bedrock vs Vertex AI: At a Glance

Attribute
Amazon Bedrock
Vertex AI
Pricing Model
Paid
Paid
Starting Price
Starting at $3/month
Free plan + paid from $0.075/month
Free Tier
✗ No
✓ Yes
Category
Coding & Development
Coding & Development
Features Count
6 features
6 features
Shared Features
0 features in common

Pricing Comparison: Amazon Bedrock vs Vertex AI

Understanding the pricing differences between Amazon Bedrock and Vertex AI is crucial for making the right choice. Here's how their plans compare side by side.

Amazon Bedrock Pricing

Claude 3.5 Sonnet via Bedrock:$3/month
View full Amazon Bedrock pricing →

Vertex AI Pricing

Gemini 1.5 Flash:$0.075/month
Free$0forever
View full Vertex AI pricing →

💡 Pricing takeaway: Vertex AI has an edge with a free tier, letting you start without commitment. Compare the specific plans to find the best value for your use case.

Feature-by-Feature Comparison

Here's how every feature from Amazon Bedrock and Vertex AI stacks up.

Feature
Amazon Bedrock
Vertex AI
Access Claude, Llama, Titan, Stability AI in one API
Private model fine-tuning with your data
Agents for Bedrock — autonomous multi-step task execution
Knowledge Bases — RAG infrastructure
VPC integration — models never leave your AWS account
Guardrails for content filtering and safety
Gemini Ultra, Pro, Flash, and Nano model access
Imagen 3 for text-to-image generation
AutoML for custom model training without code
Model Registry and versioning
Grounding — connect Gemini to Google Search
Pipelines for MLOps automation

What Makes Each Tool Unique

🔵 Unique to Amazon Bedrock

Features available in Amazon Bedrock but not in Vertex AI:

  • Access Claude, Llama, Titan, Stability AI in one API
  • Private model fine-tuning with your data
  • Agents for Bedrock — autonomous multi-step task execution
  • Knowledge Bases — RAG infrastructure
  • VPC integration — models never leave your AWS account
  • Guardrails for content filtering and safety

🟣 Unique to Vertex AI

Features available in Vertex AI but not in Amazon Bedrock:

  • Gemini Ultra, Pro, Flash, and Nano model access
  • Imagen 3 for text-to-image generation
  • AutoML for custom model training without code
  • Model Registry and versioning
  • Grounding — connect Gemini to Google Search
  • Pipelines for MLOps automation

Use Case Recommendations

Best for: Amazon Bedrock

Amazon Bedrock is AWS's managed AI platform that gives developers access to foundation models from Anthropic (Claude), Meta (Llama), AI21, Stability AI, and Amazon's own Titan models — all through a single API. Build, fine-tune, and deploy AI applications within your AWS infrastructure with enterprise-grade security, compliance, and scalability.

Ideal use cases:

  • Teams or individuals who need access claude, llama, titan, stability ai in one api
  • Teams or individuals who need private model fine-tuning with your data
  • Teams or individuals who need agents for bedrock — autonomous multi-step task execution
  • Teams or individuals who need knowledge bases — rag infrastructure
  • Anyone focused on aws workflows
  • Anyone focused on ai infrastructure workflows
Try Amazon Bedrock

Best for: Vertex AI

Google Cloud's Vertex AI is the managed machine learning platform that gives developers access to Gemini models (Ultra, Pro, Flash), PaLM 2, Imagen, and open-source models. Build, fine-tune, and deploy AI applications with Google Cloud's infrastructure. Includes AutoML, model serving, MLOps pipelines, and direct access to Google's latest foundation models.

Ideal use cases:

  • Teams or individuals who need gemini ultra, pro, flash, and nano model access
  • Teams or individuals who need imagen 3 for text-to-image generation
  • Teams or individuals who need automl for custom model training without code
  • Teams or individuals who need model registry and versioning
  • Anyone focused on google cloud workflows
  • Anyone focused on gemini api workflows
Try Vertex AI

💻 Other Coding & Development Tools to Consider

Amazon Bedrock and Vertex AI aren't the only options. Here are other popular tools in the same space:

Frequently Asked Questions

Is Amazon Bedrock better than Vertex AI?

It depends on your needs. Amazon Bedrock offers 6 key features including Access Claude, Llama, Titan, Stability AI in one API and Private model fine-tuning with your data, while Vertex AI provides 6 features including Gemini Ultra, Pro, Flash, and Nano model access and Imagen 3 for text-to-image generation. Amazon Bedrock uses a paid model, while Vertex AI is paid with free access available. Choose based on which features and pricing model align with your requirements.

Is Amazon Bedrock cheaper than Vertex AI?

Vertex AI is cheaper, starting at $0.075/month compared to Amazon Bedrock's $3/month. Vertex AI offers a free tier, making it easier to get started. Always check the official websites for the most current pricing.

Can I use Amazon Bedrock and Vertex AI together?

Yes, many users combine Amazon Bedrock and Vertex AI in their workflow. Amazon Bedrock excels at access claude, llama, titan, stability ai in one api, while Vertex AI shines with gemini ultra, pro, flash, and nano model access. Using both allows you to leverage the strengths of each tool, though this means managing two subscriptions — though free tiers can help manage costs.

What's the main difference between Amazon Bedrock and Vertex AI?

While both are coding & development tools, Amazon Bedrock emphasizes access claude, llama, titan, stability ai in one api, whereas Vertex AI is known for gemini ultra, pro, flash, and nano model access. The best choice depends on your specific workflow and feature priorities.

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