LLM Pricing Model: Difference between revisions

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A [[LLM Service Pricing Model]] is a [[cloud service pricing model]] that applies to the use of [[LLM service]]s.
#REDIRECT [[LLM Service Pricing Model]]
* <B>Context:</B>
** It can (typically) determine the cost of accessing and utilizing [[Large Language Model]]s within a cloud environment.
** It can (often) involve a [[Token-Based Pricing Strategy]] where costs are calculated based on the number of tokens processed during interactions with the LLM.
** It can range from offering [[Flat-Rate Access]] for unlimited usage to [[Pay-As-You-Go]] models where users pay only for the resources they consume.
** It can include [[Subscription-Based Pricing]] which allows users to pay a recurring fee for access to the LLM services.
** It can also incorporate [[Tiered Pricing Structures]] which adjust rates based on usage levels, providing cost savings to high-volume users.
** It can be influenced by [[Performance Metrics]], such as response time and accuracy, which may affect the pricing tier or rate applied.
** ...
* <B>Example(s):</B>
** an [[Azure OpenAI Service]] that utilizes both Pay-As-You-Go and Provisioned Throughput Units to offer flexible pricing options.
** a [[Google Cloud Platform]] that uses a model where charges are based on the number of characters processed by its language models, such as BERT or T5.
** ...
* <B>Counter-Example(s):</B>
** [[Software License]], where a one-time fee is paid for the perpetual use of software, in contrast to LLM services which typically require ongoing payments based on usage.
** ...
* <B>See:</B> [[Cloud Service Model]], [[Tokenization]], [[API Pricing Model]], [[Computational Resource Management]]
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== References ==
 
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__NOTOC__
[[Category:Concept]]
[[Category:Quality Silver]]
[[Category:AI]]

Latest revision as of 05:06, 18 April 2024

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