luminous-extended Cost Calculator - Aleph Alpha

Calculate the cost of using luminous-extended from Aleph Alpha for your AI applications

luminous-extended Cost Calculator

Mode: Completion

Input Tokens

Output Tokens

Cost Breakdown

Input Cost$0.045000

Output Cost$0.049500

Total Cost$0.094500

Pricing Details

Input: $0.00004500 per token

Output: $0.00004950 per token

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Model Specifications

Limits

Max Tokens2,048

About luminous-extended

luminous-extended is a powerful completion AI model offered by Aleph Alpha. This comprehensive guide provides detailed pricing information, technical specifications, and capabilities to help you understand the costs and features of using luminous-extended in your applications.

Pricing Information

Input Cost$45.00 per 1M tokens

Output Cost$49.50 per 1M tokens

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

When should you use luminous-extended?

luminous-extended is best suited for the following scenarios:

Single-shot completions and prompt-to-text generation
Batch processing and templated outputs
Text transformation tasks (rewrite, extract, format)

When should you avoid luminous-extended?

Complex multi-step reasoning or planning tasks
Applications requiring image, audio, or multimodal inputs
Very large documents or long conversational histories

How does luminous-extended 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 luminous-extended pricing

luminous-extended is a text completion model provided by Aleph Alpha.
Input tokens are priced at $45.00 per 1M tokens.
Output tokens are priced at $49.50 per 1M tokens.
For this model, input tokens are less expensive than output tokens, so optimizing your prompts can help manage costs.
Aleph Alpha offers luminous-extended for text completion workloads — batch prompt-to-text generation and templated outputs.

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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