Stop Paying the Anthropic API Tax: Route Claude Code Through Your Existing Cloud

It sounds like you're looking for a comprehensive evaluation of the different deployment options for running Claude AI models in an enterprise setting. Here's a summary of the pros and cons based on the information provided:

Pros

1. Full Data Governance:

   • When using AWS Bedrock, Google Vertex AI, or Azure AI Foundry, all data (prompts, files, tool inputs/outputs, model responses) are routed through your cloud provider's infrastructure.
   • This ensures full control over data residency and governance.

2. Cost Optimization:

   • AWS Enterprise Discount Programs (EDP): Offers significant discounts on committed spend for Bedrock token consumption.
   • Cross-model optimization: Utilizing a mixed model strategy, where simpler tasks are routed to cheaper models like Claude Haiku 4.5 (~12x cheaper than Sonnet), while complex tasks go to more expensive but powerful models like Claude Sonnet 4.5.
   • Consolidated billing: AI spend is integrated into existing cloud cost centers and budgets, simplifying financial management.

3. Flexibility:

   • Supports multiple deployment options (AWS Bedrock, Google Vertex AI, Azure Foundry), allowing organizations to choose

Read the full article at Towards AI - Medium

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