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ai21.jamba-1-5-large-v1:0 Cost Calculator - AWS Bedrock

Calculate the cost of using ai21.jamba-1-5-large-v1:0 from AWS Bedrock for your AI applications

ai21.jamba-1-5-large-v1:0 Cost Calculator

Mode: Chat

Max: 256,000 tokens

Max: 256,000 tokens

Cost Breakdown

Input Cost$0.002000
Output Cost$0.008000
Total Cost$0.010000

Pricing Details

Input: $0.00000200 per token
Output: $0.00000800 per token
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Model Specifications

Limits

Max Input Tokens256,000
Max Output Tokens256,000
Max Tokens256,000

About ai21.jamba-1-5-large-v1:0

ai21.jamba-1-5-large-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 ai21.jamba-1-5-large-v1:0 in your applications.

Pricing Information

Input Cost$2.00 per 1M tokens
Output Cost$8.00 per 1M tokens

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

Technical Specifications

Maximum Input Tokens256,000
Maximum Output Tokens256,000
Maximum Total Tokens256,000

Pro Tip

Use the maximum token limits shown above to understand the model's capacity. This model can handle up to 256,000 input tokens. The maximum output length is 256,000 tokens.

When should you use ai21.jamba-1-5-large-v1:0?

ai21.jamba-1-5-large-v1:0 is best suited for the following scenarios:

  • Long-context chat and document analysis
  • Agent workflows with large memory windows
When should you avoid ai21.jamba-1-5-large-v1:0?
  • High-volume text generation where output cost dominates
  • Streaming or verbose response workloads
  • Complex multi-step reasoning or planning tasks
  • Applications requiring image, audio, or multimodal inputs
How does ai21.jamba-1-5-large-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 ai21.jamba-1-5-large-v1:0 pricing
  • ai21.jamba-1-5-large-v1:0 is a general-purpose AI model provided by AWS Bedrock.
  • Input tokens are priced at $2.00 per 1M tokens.
  • Output tokens are priced at $8.00 per 1M tokens.
  • The model supports a maximum input capacity of 256,000 tokens.
  • Maximum output length is 256,000 tokens.
  • For this model, input tokens are less expensive than output tokens, so optimizing your prompts can help manage costs.
  • AWS Bedrock offers ai21.jamba-1-5-large-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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