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meta.llama3-2-1b-instruct-v1:0 Cost Calculator - AWS Bedrock

Calculate the cost of using meta.llama3-2-1b-instruct-v1:0 from AWS Bedrock for your AI applications

meta.llama3-2-1b-instruct-v1:0 Cost Calculator

Mode: Chat

Max: 128,000 tokens

Max: 4,096 tokens

Cost Breakdown

Input Cost$0.00010000
Output Cost$0.00010000
Total Cost$0.00020000

Pricing Details

Input: $0.0000001000 per token
Output: $0.0000001000 per token
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Model Specifications

Capabilities

✓Function Calling

Limits

Max Input Tokens128,000
Max Output Tokens4,096
Max Tokens4,096

About meta.llama3-2-1b-instruct-v1:0

meta.llama3-2-1b-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 meta.llama3-2-1b-instruct-v1:0 in your applications.

Pricing Information

Input Cost$0.10 per 1M tokens
Output Cost$0.10 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 Tokens4,096
Maximum Total Tokens4,096

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 4,096 tokens.

Model Capabilities

✓Function Calling - Execute custom functions and tools
When should you use meta.llama3-2-1b-instruct-v1:0?

meta.llama3-2-1b-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 meta.llama3-2-1b-instruct-v1:0?
  • Complex multi-step reasoning or planning tasks
  • Applications requiring image, audio, or multimodal inputs
How does meta.llama3-2-1b-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 meta.llama3-2-1b-instruct-v1:0 pricing
  • meta.llama3-2-1b-instruct-v1:0 is a general-purpose AI model provided by AWS Bedrock.
  • Input tokens are priced at $0.10 per 1M tokens.
  • Output tokens are priced at $0.10 per 1M tokens.
  • The model supports a maximum input capacity of 128,000 tokens.
  • Maximum output length is 4,096 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 meta.llama3-2-1b-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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meta.llama3-2-1b-instruct-v1:0 Cost Calculator - AWS Bedrock | Bifrost