Side-by-Side Comparison · 2026
Amazon Bedrock vs Azure OpenAI Service: Full Comparison (2026)
Amazon Bedrock is aws's managed service to build with frontier ai models from multiple providers. Azure OpenAI Service is enterprise-grade access to gpt-4, o3, and dall-e 3 on microsoft azure. Use the breakdown below to find the right fit for your needs.
Amazon Bedrock
Amazon Web Services
PaidAzure OpenAI Service
Microsoft / OpenAI
PaidSide-by-Side Overview
- Pricing Model
- Amazon Bedrock: PaidAzure OpenAI Service: Paid
- API Access
- Amazon Bedrock: AvailableAzure OpenAI Service: Available
- Platforms
- Amazon Bedrock: AWS Console, API, AWS SDKs, Amazon SageMaker integrationAzure OpenAI Service: Azure Portal, REST API, Azure SDKs, Semantic Kernel, Azure AI Foundry
- Integrations
- Amazon Bedrock: 7 integrationsAzure OpenAI Service: 7 integrations
- Vendor
- Amazon Bedrock: Amazon Web ServicesAzure OpenAI Service: Microsoft / OpenAI
- Category
- Amazon Bedrock: PlatformsAzure OpenAI Service: APIs
- Launch
- Amazon Bedrock: Apr 13, 2023 (preview); Sep 28, 2023 (GA)Azure OpenAI Service: Nov 2021 (preview); Jan 2023 (GA)
- Models
- Amazon Bedrock: Anthropic Claude 4, Meta Llama 4Azure OpenAI Service: GPT-4o, GPT-4.1
| Feature | Amazon Bedrock | Azure OpenAI Service |
|---|---|---|
| Pricing Model | Paid | Paid |
| API Access | Available | Available |
| Platforms | AWS Console, API, AWS SDKs, Amazon SageMaker integration | Azure Portal, REST API, Azure SDKs, Semantic Kernel, Azure AI Foundry |
| Integrations | 7 integrations | 7 integrations |
| Vendor | Amazon Web Services | Microsoft / OpenAI |
| Category | Platforms | APIs |
| Launch | Apr 13, 2023 (preview); Sep 28, 2023 (GA) | Nov 2021 (preview); Jan 2023 (GA) |
| Models | Anthropic Claude 4, Meta Llama 4 | GPT-4o, GPT-4.1 |
About Amazon Bedrock
Designed For
- Enterprise AI applications
- RAG (knowledge bases)
- Agents for task automation
- Model evaluation
About Azure OpenAI Service
Designed For
- Enterprise AI applications
- Compliant AI for regulated industries
- Copilot customization
- RAG with Azure AI Search
Strengths & Limitations
Amazon Bedrock
Strengths
- Access to Claude, Llama, Mistral, Titan in one API
- AWS security & compliance
- Managed infrastructure
- Bedrock Agents for agentic workflows
- Fine-tuning support
Limitations
- Complex pricing
- AWS lock-in risk
- Steeper learning curve
- Cost at scale
Azure OpenAI Service
Strengths
- Enterprise compliance (HIPAA, SOC2, ISO 27001)
- Private network deployment
- Customer-managed keys
- Fine-tuning support
- Azure integration
Limitations
- Complex provisioning
- Higher cost vs direct OpenAI API
- Capacity constraints
- Azure dependency
Frequently Asked Questions
What is the difference between Amazon Bedrock and Azure OpenAI Service?
Amazon Bedrock is aws's managed service to build with frontier ai models from multiple providers, while Azure OpenAI Service is enterprise-grade access to gpt-4, o3, and dall-e 3 on microsoft azure. Amazon Bedrock is designed for Enterprise developers, AWS shops; Azure OpenAI Service is designed for Regulated industries (finance, healthcare, government), Microsoft-centric enterprises. The right fit depends on your specific requirements.
How do the pricing models compare?
Amazon Bedrock is available under a Paid model. Azure OpenAI Service is available under a Paid model. Amazon Bedrock's entry tier starts at Per token (varies by model). Azure OpenAI Service's entry tier starts at $2.50/M input, $10/M output. Always verify pricing on each vendor's official website as it may change.
What integrations does each tool support?
Amazon Bedrock integrates with AWS Lambda, Amazon S3, Amazon OpenSearch, AWS Step Functions. Azure OpenAI Service integrates with Azure AI Search, Azure Cognitive Services, Power Platform, Dynamics 365. Check each vendor's documentation for the full and current list.
How do I choose between Amazon Bedrock and Azure OpenAI Service?
Consider your team's technical requirements, budget, existing tooling, and use case before deciding. We recommend signing up for free trials or demos of both tools where available, and consulting each vendor's documentation. AIHub provides this comparison for informational purposes only.