Comparison of AI Models in Cloud Systems: Azure, AWS, Google Cloud
This article compares leading cloud platforms offering modern AI language models — Microsoft Azure OpenAI, Amazon Bedrock, and Google Vertex AI. We will examine their pricing, capabilities, programming language support, ease of integration, and recommend which is best suited for a simple order-taking chatbot.
1. Microsoft Azure OpenAI
- Models: GPT-3.5, GPT-4, Embedding, Codex
- Pricing: GPT-3.5 – from $0.0015/1K tokens, GPT-4 – from $0.03/1K tokens
- Use cases: text generation, chatbots, coding, analysis
- Integration: official
azure-ai-openai
library for Python, REST API support, SDKs for .NET, Java, Node.js
2. Amazon Bedrock
- Models: Anthropic Claude, AI21 Labs, Cohere, Meta, Amazon Titan
- Pricing: Claude 3 Haiku – around $0.0025/1K tokens, depending on the model
- Use cases: generation, text analysis, classification, search
- Integration: via AWS SDK (boto3 for Python), REST API, AWS Lambda and Step Functions support
3. Google Vertex AI
- Models: Gemini 1.5, PaLM 2, Imagen, Codey
- Pricing: Gemini 1.5 Flash – from $0.00035/1K tokens, Gemini Pro – from $0.002/1K tokens
- Use cases: text, code, images, multimodal
- Integration: Python SDK (
google-cloud-aiplatform
), REST/gRPC API, Jupyter/Colab support
4. Which is best for an order-taking chatbot?
For building a simple chatbot to handle orders, the main criteria are ease of integration, cost, and API stability. Here are our recommendations:
- Azure OpenAI — best choice for stability, GPT-4 support, and great integration with .NET or Python. Ideal for businesses already using Microsoft infrastructure.
- AWS Bedrock — great option for companies within the AWS ecosystem. Easy to scale and access to Claude, known for conversational strength.
- Google Vertex AI — suited for strong analytics, multimodal request handling, or integration with other Google AI services.
5. Conclusion
If you're looking for the simplest way to build a chatbot for order processing — we recommend Azure OpenAI for its stability, clear documentation, and support for popular programming languages. If you're already working in AWS or Google Cloud, choose based on your existing infrastructure.