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Amazon Bedrock vs Azure OpenAI: A Costly Affair?

January 8, 2024

The AI Showdown: Amazon's Efforts Pay Off?

Amazon, once bombarded with questions about its AI prowess, unveiled its Generative AI marvels, Bedrock and Titan​​, showing significant cost savings over Azure OpenAI models – up to 378% in some scenarios​​.

The AI Toolbox: What's Inside?

Generative AI, encompassing models like Stable Diffusion and DALL-E for image generation and ChatGPT for text, has become the talk of the tech town​​.

Bedrock: Amazon's AI Arsenal

Amazon Bedrock is a serverless service offering a plethora of Foundation Models (FMs) from various providers, including image generation and text processing capabilities​​​​​​​​​​.

Azure OpenAI: The Microsoft-OpenAI Power Duo

Azure OpenAI, a partnership between Microsoft Azure and OpenAI, brings advanced language models with enhanced security features​​​​​​​​​​.

Functionality Face-off

While OpenAI enjoys high recognition, experts like Randall Hunt suggest that its innovation isn't as groundbreaking as perceived, though GPT-4 is acknowledged for its quality​​.

Comparing Models: A Token Affair

In terms of tokens, Bedrock and OpenAI both offer 4k and 8k token models. OpenAI extends to 16k and 32k options, but Bedrock's Claude model tops at 100k tokens​​.

The Price is Right... Or Is It?

Bedrock's Pricing Strategy

Bedrock's pricing offers an On-Demand option and a Provisioned Throughput for consistent, large workloads. Prices vary depending on the model, with text generation models charging per input and output token, and image generation models per image generated​​​​​​.

Azure OpenAI's Costing Conundrum

Azure OpenAI follows a simple pay-as-you-go model with additional customization charges that vary per region. Charges for text generation are based on prompt and completion tokens, while image generation models charge per 100 images generated​​​​.

Pricing Scenarios: A Detailed Look

  • Image Generation Models: Bedrock's Stable Diffusion offers more flexibility in cost compared to DALL-E, which charges per 100 images​​.
  • Standard Context Window Models: Bedrock's Command and OpenAI's GPT-3.5-Turbo 4k have similar pricing, while Titan Text - Lite and Titan Text - Express from Bedrock are more cost-effective​​.
  • Long Context Window Models: Jurassic-2 from Bedrock is cheaper than GPT-4 8k from OpenAI, offering better value for advanced tasks​​.
  • Extra Long Context Window Models: Claude from Bedrock, with its 100K token capacity, is significantly cheaper than GPT-4 32k from OpenAI, making it an attractive option for high-capacity, advanced tasks​​.

Wrapping It Up: The Verdict

Considering the pricing, variety of models, and generous token limits, Bedrock could be the go-to choice for applications where top performance isn't crucial​​.


  • Amazon Bedrock vs Azure OpenAI: A comprehensive comparison focusing on pricing and model capabilities.
  • Generative AI Models: An overview of the diverse models in image generation, text processing, and transcription.
  • Bedrock and Azure OpenAI Services: Insights into the range of services and models offered by both platforms.
  • Functionality and Model Comparison: Evaluating the capabilities and token limits of various models.
  • Pricing Analysis: In-depth pricing comparison for various models, highlighting cost-effectiveness and application suitability.
  • Final Verdict: Bedrock emerges as a more economical choice for a broad range of AI applications.

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