AWS Bedrock Pricing Calculator

AWS Bedrock pricing is determined by usage, specifically the number of tokens processed. Our calculator helps demystify these costs by separating input and output charges. Input tokens refer to the prompt—the text you send to the model (e.g., user questions, system instructions). Output tokens are the response generated by the AI. Because different models like Claude or Llama have varying price points per million tokens, our tool allows you to model costs across multiple architectures.

Simply enter your expected workload volume (e.g., 500,000 requests) and the average token count for each phase. The calculator then applies the current AWS Bedrock rates specific to the model you select, giving you a precise cost estimate rather than a generalized industry average.

• Model Selection: Choose models like Claude 3 or Llama 2 to see tailored pricing.
• Volume Estimation: Input your predicted monthly usage volume for accuracy.
• Cost Breakdown: Receive a clear breakdown of input vs. output costs, allowing for precise budget planning.

The goal of cost optimization isn't just to use the cheapest model; it's to use the most efficient model. Before relying on token count alone, consider prompt engineering techniques that reduce redundancy.

• Implement Guardrails: Use smaller models (like Llama) for initial filtering or validation checks to save costs before sending data to a large, expensive model.
• Summarize Context: If your input context is large (e.g., 50 pages), run a preliminary step to summarize the document into key points, drastically reducing input token count without losing critical information.
• Cache Responses: For repeated queries (like fetching standard definitions), store and reuse previous API responses instead of recalculating them every time.