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jais-13b-chat Cost Calculator - IBM watsonx

Calculate the cost of using jais-13b-chat from IBM watsonx for your AI applications

jais-13b-chat Cost Calculator

Mode: Chat

Max: 8,192 tokens

Max: 8,192 tokens

Cost Breakdown

Input Cost$0.500000
Output Cost$0.00000200
Total Cost$0.500002

Pricing Details

Input: $0.00050000 per token
Output: $0.0000000020 per token
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Model Specifications

Limits

Max Input Tokens8,192
Max Output Tokens8,192
Max Tokens8,192

About jais-13b-chat

jais-13b-chat is a powerful chat AI model offered by IBM watsonx. This comprehensive guide provides detailed pricing information, technical specifications, and capabilities to help you understand the costs and features of using jais-13b-chat in your applications.

Pricing Information

Input Cost$500.00 per 1M tokens
Output Cost$0.00 per 1M tokens

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

Technical Specifications

Maximum Input Tokens8,192
Maximum Output Tokens8,192
Maximum Total Tokens8,192

Pro Tip

Use the maximum token limits shown above to understand the model's capacity. This model can handle up to 8,192 input tokens. The maximum output length is 8,192 tokens.

When should you use jais-13b-chat?

jais-13b-chat is best suited for the following scenarios:

  • General-purpose chat and text generation workloads
When should you avoid jais-13b-chat?
  • Complex multi-step reasoning or planning tasks
  • Applications requiring image, audio, or multimodal inputs
  • Very large documents or long conversational histories
How does jais-13b-chat compare to similar models?

This model sits in the middle of its category in terms of pricing and capabilities, making it a balanced option for general workloads.

Understanding jais-13b-chat pricing
  • jais-13b-chat is a general-purpose AI model provided by IBM watsonx.
  • Input tokens are priced at $500.00 per 1M tokens.
  • Output tokens are priced at $0.00 per 1M tokens.
  • The model supports a maximum input capacity of 8,192 tokens.
  • Maximum output length is 8,192 tokens.
  • For this model, input tokens are more expensive than output tokens, so optimizing your prompts can help manage costs.
  • IBM watsonx offers jais-13b-chat 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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