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Research report·

Benchmarking of fully-managed generative AI services/APIs

Investigating adoption, attribute priorities, and satisfaction

The aim of this report is to understand the current state of fully-managed AI services/APIs from the perspective of developers who use them to add generative AI functionality to their applications. We begin by examining which services/APIs developers are currently using. Following this, we take a close look at what attributes developers prioritise when evaluating fully-managed services/APIs for adding generative AI to their applications. Finally, we discuss how these services/APIs perform in terms of customer satisfaction (CSAT) for quality of outputs, ease of integration, reliability, and speed and latency amongst developers who use them.

Questions this report answers

Which fully-managed services/APIs are you currently using to add generative AI functionality to your applications?

Which of the following attributes do you prioritise when evaluating a fully-managed generative AI service/API?

How would you rate each generative AI service/API with respect to each attribute?