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Amazon Bedrock alternatives: Azure, Google Cloud and open source

Bedrock is one API in front of many models.

You choose the model and write the prompt. AWS runs the model.

  • From my own projects
  • Sources linked
  • Updated September 2026

The same job on four platforms

The same task, a different bill and a different console. The layer does not change.

AWS

Amazon Bedrock[1]

Bedrock is one API in front of many models.

AWS documentation →[2]

Microsoft Azure

Microsoft Foundry (formerly Azure AI Foundry)[3]

Official documentation →

Renamed from Azure AI Foundry at Ignite in November 2025.

Google Cloud

Vertex AI[4]

Official documentation →

Open source / run it yourself

vLLM[5]

Serves open-weight models on your own GPU with an OpenAI-compatible API, Apache 2.0.

Ollama[6]

The simplest way to run an open model on one machine, MIT licence.

What Amazon Bedrock does

You sendA prompt, and the name of the model you want to answer it
Amazon Bedrock

Bedrock is one API in front of many models.

You get backThe model's answer, and the token counts you are billed on
What it costsPer token in and per token out. Nothing to switch off, so an idle week costs nothing at all.
Who operates itAWS runs the machines. The model provider builds the model. The prompt and what you do with the answer are yours.
When it is the wrong choiceWhen the task is a fixed, narrow classification you do ten million times. A small model or a ready-made service is cheaper.

AWS calls it: “The platform for building generative AI applications and agents at production scale”[1]

How I use it

Foundation models for briefs, analysis and agents. In my video pipeline it scores the candidate cuts, for about 5 cents a clip.

AI agent systems →All AWS services in my projects →
Linda Mohamed

Linda Mohamed, AI and cloud consultant and AWS Community Hero in Vienna. I build these pipelines for clients and teach them at FH Burgenland.

Read more on ai-solutions.wiki

My open knowledge base, with longer comparisons and more sources.

Questions

What is the Azure equivalent of Amazon Bedrock?

Microsoft Foundry (formerly Azure AI Foundry). Renamed from Azure AI Foundry at Ignite in November 2025.

What is the Google Cloud equivalent of Amazon Bedrock?

Vertex AI.

What is the open-source alternative to Amazon Bedrock?

vLLM: Serves open-weight models on your own GPU with an OpenAI-compatible API, Apache 2.0. Ollama: The simplest way to run an open model on one machine, MIT licence.

How is Amazon Bedrock billed?

Per token in and per token out. Nothing to switch off, so an idle week costs nothing at all.

When should you not use Amazon Bedrock?

When the task is a fixed, narrow classification you do ten million times. A small model or a ready-made service is cheaper.

Sources

  1. Amazon Bedrock product page. https://aws.amazon.com/bedrock/
  2. Amazon Bedrock documentation. https://docs.aws.amazon.com/bedrock/latest/userguide/what-is-bedrock.html
  3. Microsoft Foundry (formerly Azure AI Foundry) documentation. https://learn.microsoft.com/en-us/azure/foundry/what-is-foundry
  4. Vertex AI documentation. https://cloud.google.com/vertex-ai/docs
  5. vLLM. https://docs.vllm.ai/
  6. Ollama. https://ollama.com/
  7. Amazon Bedrock: Enterprise AI Foundation, ai-solutions.wiki. https://ai-solutions.wiki/tools/amazon-bedrock/
  8. Amazon Bedrock vs Azure OpenAI: Which to Choose?, ai-solutions.wiki. https://ai-solutions.wiki/comparisons/bedrock-vs-azure-openai/
  9. Amazon Bedrock vs Google Vertex AI: Cloud AI Platforms Compared, ai-solutions.wiki. https://ai-solutions.wiki/comparisons/bedrock-vs-vertex-ai/
  10. vLLM: High-Performance LLM Serving Engine, ai-solutions.wiki. https://ai-solutions.wiki/tools/vllm/
  11. Managed vs Reserved vs Self-Hosted Inference: Choosing by Utilization, ai-solutions.wiki. https://ai-solutions.wiki/comparisons/managed-vs-reserved-vs-self-hosted-inference/
  12. Linda Mohamed, course slides “The projects”, MASE-3, FH Burgenland, September 2026.

Links checked September 2026. Product names and availability change: check the linked pages before you decide.

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