Bedrock vs Azure OpenAI vs Vertex AI — GenAI Platforms Compared
Compare AWS Bedrock, Azure OpenAI Service, and Google Vertex AI for generative AI. Model access, pricing, and enterprise features.
Feature Comparison
| Feature | AWS Bedrock | Azure OpenAI Service | Google Vertex AI (Generative) |
|---|---|---|---|
| Model variety | Multi-vendor (Claude, Llama, etc.) | OpenAI exclusive | Gemini + Model Garden |
| RAG support | Knowledge Bases | AI Search + On Your Data | Vertex AI Search |
| Enterprise security | VPC, IAM, encryption | Azure AD, VNet, compliance | VPC-SC, IAM |
| Fine-tuning | Select models | GPT models | Gemini + open models |
Service Details
AWS Bedrock
Managed service for foundation models. Access Anthropic Claude, Meta Llama, Mistral, and Amazon Titan via a unified API.
- Multi-model access (Anthropic, Meta, Mistral, etc.)
- Knowledge Bases for RAG
- Agents for task automation
- Guardrails for responsible AI
- No OpenAI GPT models
- Newer than Azure OpenAI
- Some models region-limited
Azure OpenAI Service
Enterprise access to OpenAI models (GPT-4, DALL-E, Whisper) with Azure's security, networking, and compliance.
- Exclusive enterprise OpenAI access
- Azure enterprise security/compliance
- Content filtering built-in
- Global deployment options
- OpenAI models only (no Anthropic, Meta)
- Capacity quotas and waitlists
- Pricing can be higher than direct OpenAI
Google Vertex AI (Generative)
Access to Google's Gemini models plus open models via Model Garden. Best for organizations using Google's AI ecosystem.
- Gemini models (Google's best)
- Model Garden with 100+ models
- Grounding with Google Search
- Strong multimodal capabilities
- No OpenAI or Anthropic models
- Newer platform
- Some models still in preview
When to Use Which
Choose Bedrock for multi-model flexibility (especially Claude + Llama). Choose Azure OpenAI for enterprise GPT access with Azure compliance. Choose Vertex AI for Gemini models and Google ecosystem integration.
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