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jamba-instruct Cost Calculator - Azure AI

Calculate the cost of using jamba-instruct from Azure AI for your AI applications

jamba-instruct Cost Calculator

Mode: Chat

Max: 70,000 tokens

Max: 4,096 tokens

Cost Breakdown

Input Cost$0.00050000
Output Cost$0.00070000
Total Cost$0.001200

Pricing Details

Input: $0.0000005000 per token
Output: $0.0000007000 per token
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Model Specifications

Limits

Max Input Tokens70,000
Max Output Tokens4,096
Max Tokens4,096

About jamba-instruct

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

Pricing Information

Input Cost$0.50 per 1M tokens
Output Cost$0.70 per 1M tokens

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

Technical Specifications

Maximum Input Tokens70,000
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 70,000 input tokens. The maximum output length is 4,096 tokens.

When should you use jamba-instruct?

jamba-instruct is best suited for the following scenarios:

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

This model offers competitive input token pricing, making it cost-effective for applications that require extensive context or frequent input processing.

Understanding jamba-instruct pricing
  • jamba-instruct is a general-purpose AI model provided by Azure AI.
  • Input tokens are priced at $0.50 per 1M tokens.
  • Output tokens are priced at $0.70 per 1M tokens.
  • The model supports a maximum input capacity of 70,000 tokens.
  • Maximum output length is 4,096 tokens.
  • For this model, input tokens are less expensive than output tokens, so optimizing your prompts can help manage costs.
  • Azure AI offers jamba-instruct 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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