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us.meta.llama3-1-8b-instruct-v1:0 Cost Calculator - AWS Bedrock

Calculate the cost of using us.meta.llama3-1-8b-instruct-v1:0 from AWS Bedrock for your AI applications

us.meta.llama3-1-8b-instruct-v1:0 Cost Calculator

Mode: Chat

Max: 128,000 tokens

Max: 2,048 tokens

Cost Breakdown

Input Cost$0.00022000
Output Cost$0.00022000
Total Cost$0.00044000

Pricing Details

Input: $0.0000002200 per token
Output: $0.0000002200 per token
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Model Specifications

Capabilities

✓Function Calling

Limits

Max Input Tokens128,000
Max Output Tokens2,048
Max Tokens2,048

About us.meta.llama3-1-8b-instruct-v1:0

us.meta.llama3-1-8b-instruct-v1:0 is a powerful chat AI model offered by AWS Bedrock. This comprehensive guide provides detailed pricing information, technical specifications, and capabilities to help you understand the costs and features of using us.meta.llama3-1-8b-instruct-v1:0 in your applications.

Pricing Information

Input Cost$0.22 per 1M tokens
Output Cost$0.22 per 1M tokens

Note: Use the interactive calculator above to estimate costs for your specific usage patterns.

Technical Specifications

Maximum Input Tokens128,000
Maximum Output Tokens2,048
Maximum Total Tokens2,048

Pro Tip

Use the maximum token limits shown above to understand the model's capacity. This model can handle up to 128,000 input tokens. The maximum output length is 2,048 tokens.

Model Capabilities

✓Function Calling - Execute custom functions and tools
When should you use us.meta.llama3-1-8b-instruct-v1:0?

us.meta.llama3-1-8b-instruct-v1:0 is best suited for the following scenarios:

  • Long-context chat and document analysis
  • Agent workflows with large memory windows
  • Agentic systems with function or tool calling
  • Workflow automation and API orchestration
When should you avoid us.meta.llama3-1-8b-instruct-v1:0?
  • Complex multi-step reasoning or planning tasks
  • Applications requiring image, audio, or multimodal inputs
How does us.meta.llama3-1-8b-instruct-v1:0 compare to similar models?

This model supports a larger context window than many alternatives, making it suitable for long-form inputs and memory-intensive applications.

Understanding us.meta.llama3-1-8b-instruct-v1:0 pricing
  • us.meta.llama3-1-8b-instruct-v1:0 is a general-purpose AI model provided by AWS Bedrock.
  • Input tokens are priced at $0.22 per 1M tokens.
  • Output tokens are priced at $0.22 per 1M tokens.
  • The model supports a maximum input capacity of 128,000 tokens.
  • Maximum output length is 2,048 tokens.
  • For this model, input tokens are more expensive than output tokens, so optimizing your prompts can help manage costs.
  • Supports function calling for executing custom functions and tools.
  • AWS Bedrock offers us.meta.llama3-1-8b-instruct-v1:0 for general-purpose AI workloads — general-purpose AI workloads.

How to Use This Calculator

Step 1: Enter the number of input tokens you expect to use. Input tokens include your prompt, system messages, and any context you provide to the model.

Step 2: Specify the number of output tokens you anticipate. Output tokens are the text generated by the model in response to your input.

Step 3: Review the cost breakdown to see the total estimated cost for your usage. The calculator automatically updates as you adjust the token counts.

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us.meta.llama3-1-8b-instruct-v1:0 Cost Calculator - AWS Bedrock | Bifrost