OpenAI Brings Flex Processing in API to Reduce Costs for Developers

OpenAI spends millions to process polite phrases such as "Thank You" and "Please" with ChatGPT

Sam Altman says OpenAI spends tens of millions of dollars on ChatGPT to respond to simple courtesies like "Thank You" and "Please".

OpenAI Introduces Cheaper AI, Flex Processing

OpenAI has launched Flex processing as a more affordable option for developers using its o3 and o4-mini models.  This new feature allows users to cut costs in half, that’s if they are willing to settle for slower processing times and limited availability. Flex is now in beta, and it targets tasks that do not need […] The post OpenAI Introduces Cheaper AI, Flex Processing appeared first on AutoGPT.

In competition with companies like Google, OpenAI now offers a cheap alternative that can reduce costs by half. However, the new "Flex Processing" has a decisive catch. read more on t3n.de

TechCrunch: OpenAI launches Flex processing for cheaper, slower AI tasks

TechCrunch: OpenAI launches Flex processing for cheaper, slower AI tasks. “In a bid to more aggressively compete with rival AI companies like Google, OpenAI is launching Flex processing, an API option that provides lower AI model usage prices in exchange for slower response times and ‘occasional resource unavailability.'”The post TechCrunch: OpenAI launches Flex processing for cheaper, slower AI tasks first appeared on ResearchBuzz: Firehose.

OpenAI Brings Flex Processing in API to Reduce Costs for Developers

OpenAI is introducing a new service tier for developers starting Thursday via its application programming interface (API). Dubbed Flex processing, it reduces the AI usage costs by half for developers, compared to standard pricing. However, the lowered prices come with the consequence of slower response times and occasional resource unavailability.

The company is offering a new API option at reduced prices for developers, but you'll have to put up with slower response times and service unavailability from time to time.