luminous-base Cost Calculator - Aleph Alpha

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

luminous-base Cost Calculator

Mode: Completion

Input Tokens

Output Tokens

Cost Breakdown

Input Cost$0.030000

Output Cost$0.033000

Total Cost$0.063000

Pricing Details

Input: $0.00003000 per token

Output: $0.00003300 per token

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Model Specifications

Limits

Max Tokens2,048

About luminous-base

luminous-base 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-base in your applications.

Pricing Information

Input Cost$30.00 per 1M tokens

Output Cost$33.00 per 1M tokens

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

When should you use luminous-base?

luminous-base 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-base?

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

How does luminous-base 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-base pricing

luminous-base is a text completion model provided by Aleph Alpha.
Input tokens are priced at $30.00 per 1M tokens.
Output tokens are priced at $33.00 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-base 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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