Reddit
reddit.com › r/llmdevs › seeking advice on amazon bedrock and azure
r/LLMDevs on Reddit: Seeking Advice on Amazon Bedrock and Azure
January 14, 2025 -
Hello everyone. I’m currently exploring AI infrastructure and platform for a new project and I’m trying to decide between Amazon Bedrock and Azure (AI Infrastructure & AI Studio). I’ve been considering both but would love to hear about your real-world experiences with them.
Has anyone used Amazon Bedrock or Azure AI Infrastructure and Azure AI Studio? How would you compare the two in terms of ease of use, performance, and overall flexibility? Are there specific features from either platform that stood out to you, or particular use cases where one was clearly better than the other?
Any advice or insights would be greatly appreciated. Thanks in advance!
Top answer 1 of 4
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Last I checked their pricing and model selection is roughly equivalent. Amazon's own generative models are a generation or two behind, if that matters. That said, I'm assuming you're asking about Bedrock and Azure specifically because they offer a variety of models, dedicated instances, etc. With that in mind, I'd like to answer your question directly, but IMO it's more about being able to easily evaluate and find the right model. Every project I've done so far has benefitted from being able to easily try different models from different providers. It comes down to screwing around with client libraries. So, If you've got the resources and the latitude, my advice is to sign up for all the services with a small budget for testing each, and prototype with a good OpenAI client library alongside a LiteLLM proxy so you can switch between them as you wish. If you find one provider that nails it, then you can bother with the provider's dedicated client library, etc. LiteLLM also has a bunch of built-in features that can be handy for cost control, team access, etc. I will say I've only used it for prototyping and never in production. If running LiteLLM is problematic, there are SaaS equivalents to LiteLLM, reselling tokens with an OpenAI interface, but I've not tried any of them. If you've really got to choose one of the two for whatever reason, then you're essentially making a bet on whether or not you'll end up satisfied with OpenAI or Anthropic models. If neither of them are on the table and you think you'll be using open models, then go with whichever of AWS or Azure is used at your employer, because they both support all the big ones.
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I’ve been playing with Amazon’s new Nova models lately, and I’ve been impressed. The price is good too.
QServices Inc
qservicesit.com › home › azure ai foundry vs. amazon bedrock: which is right for your business?
Azure AI Foundry vs. Amazon Bedrock: Which is Right for Your Business?
June 25, 2025 - Azure AI Foundry gives you access to GPT-4, Microsoft AI models, and deep Azure integration, making it perfect for businesses that want complete control and scalability. Amazon Bedrock, on the other hand, brings pre-trained AI models with seamless AWS services—great if you want quick deployment without heavy customization.
Videos
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DEV Community
dev.to › ckeditor › openai-vs-aws-bedrock-vs-azure-open-ai-choosing-the-right-model-for-your-ai-assistant-1h3a
OpenAI vs AWS Bedrock vs Azure Open AI - Choosing the right model for your AI Assistant - DEV Community
May 13, 2024 - Below is an example of deploying a machine learning model with AWS Bedrock: import boto3 # Initialize the Bedrock client bedrock = boto3.client('bedrock') # Deploy a model response = bedrock.deploy_model( ModelName='your-model-name', MinCapacity=1, MaxCapacity=10 ) print("Deployment status:", response['Status']) Microsoft’s Azure Open AI service integrates OpenAI's powerful models with Azure's robust cloud infrastructure, offering enhanced security, compliance, and enterprise-grade capabilities.
CloudOptimo
cloudoptimo.com › home › blog › amazon bedrock vs azure openai vs google vertex ai: an in-depth analysis
Amazon Bedrock vs Azure OpenAI vs Google Vertex AI: An In-Depth Analysis
May 5, 2025 - Cloud-Based: All three platforms are built on top of major cloud services (AWS, Azure, and Google Cloud). Generative AI Models: Each platform provides access to powerful models for NLP, image generation, and even code generation. Focus on Ease of Use: All platforms aim to simplify AI development for businesses and developers, offering tools that lower the barrier to entry. While all three platforms—Amazon Bedrock, Azure OpenAI, and Google Vertex AI—aim to bring advanced AI capabilities to businesses, they differ significantly in architecture, accessibility, and strategic focus.
Umbrella
umbrellacost.com › home › amazon bedrock vs openai: guide to your best generative ai platform
AWS Bedrock vs Azure OpenAI – Which Platform Is Best For You - Umbrella
July 29, 2025 - AWS Bedrock is one of the newer AI tools on the block. Bedrock is a fully managed severless offering. Developers can use third-party provider foundation models (FMs) through Amazon’s API and personalize accordingly, building out the custom tool of their dreams. ... Azure OpenAI is Azure’s solution to keep up with the booming AI market.
Woodmark
woodmark.de › en › blog-detail › managed-genai-in-der-cloud-aws-bedrock-vs-azure-ai-studio-2
AWS Bedrock vs. Azure AI Studio - Woodmark Consulting
September 18, 2024 - AWS Bedrock currently offers two embedding models in Europe: AWS Titan Embeddings and Cohere Text Embed. Azure, on the other hand, offers embedding models from OpenAI's Ada series (002 and 003). All these models are billed based on usage, although tasks such as text extraction from tables or PowerPoint slides, as well as chunking, may incur additional costs.
Milvus
milvus.io › ai-quick-reference › how-does-amazon-bedrock-compare-to-other-cloud-offerings-such-as-microsoft-azures-openai-service-or-google-vertex-ai-in-providing-foundation-model-access
How does Amazon Bedrock compare to other cloud offerings (such as Microsoft Azure's OpenAI Service or Google Vertex AI) in providing foundation model access?
While all three services provide access to foundation models, Bedrock emphasizes a multi-provider approach, allowing developers to choose from a curated selection of models (e.g., Anthropic’s Claude, Stability AI’s Stable Diffusion, or AWS’s Titan) within a single managed service. In contrast, Azure OpenAI Service centers on OpenAI’s models like GPT-4 and DALL-E, and Vertex AI prioritizes Google’s own models (e.g., PaLM, Imagen) alongside limited third-party options.
Ankur's Newsletter
ankursnewsletter.com › p › aws-bedrock-vs-google-vertex-ai-vs
AWS Bedrock vs. Google Vertex AI vs Azure OpenAI: A Comparative Overview
October 31, 2024 - Proprietary powerhouse: Bedrock's integration with AWS services provides unique advantages for model deployment and management. Microsoft's platform is making strides towards openness while maintaining its exclusive OpenAI access: Proprietary strengths: Integration with Azure OpenAI Service and other Microsoft technologies offers unique advantages for enterprises already invested in the Azure ecosystem.
Google Cloud
cloud.google.com › documentation › get started › compare aws and azure services to google cloud
Compare AWS and Azure services to Google Cloud | Get started | Google Cloud Documentation
This table lists generally available Google Cloud services and maps them to similar or comparable offerings in Amazon Web Services (AWS) and Microsoft Azure. You can filter the table with keywords, such as a service type, capability, or product name.
OpenAI
blog.gopenai.com › azure-ai-foundry-vs-aws-bedrock-vs-google-vertex-ai-the-2025-guide-25a69c1d19b1
Azure AI Foundry vs AWS Bedrock vs Google Vertex AI: The 2025 Guide | by Ishwarya S | GoPenAI
August 19, 2025 - Azure AI Foundry (Microsoft): Deep enterprise integration with direct access to OpenAI’s models (GPT-4, GPT-5), plus a strong MLOps studio. AWS Bedrock (Amazon): Multi-vendor “model mall” supporting Titans (Amazon), Anthropic (Claude), AI21, Cohere, Meta Llama, Stability AI, and more — fully managed and serverless.
G2
g2.com › compare › aws-bedrock-vs-microsoft-azure-machine-learning
Compare AWS Bedrock vs. Azure Machine Learning Studio | G2
Reviewers appreciate Azure's user-friendly tools that simplify the model training process. G2 users report that AWS Bedrock provides better Natural Language Processing capabilities, with a score of 8.7 compared to Azure's 7.9.
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Medium
medium.com › @kaushikvikas › amazon-bedrock-vs-8a58059026da
Amazon Bedrock vs. Google Vertex AI vs. Microsoft Azure Cognitive Services: A Battle for Generative AI Supremacy | by Vikas | Medium
May 1, 2024 - Azure emphasizes seamless integration with other Microsoft services, allowing for efficient development within the Microsoft ecosystem. The Generative AI Colosseum: A Feature-by-Feature Breakdown · Here’s a comprehensive analysis of how these platforms stack up across key aspects: ... Amazon Bedrock: The ideal choice for businesses prioritizing rapid development and user-friendliness.