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Artificial Intelligence

OpenAI opens Decisions API to all customers

OpenAI made Decisions API generally available, added voice and visual modes, and said early customer testing showed faster response times as it pushed the service against rival decision models.

TechCrunch

OpenAI made Decisions API generally available on Thursday, after first announcing it at its developer day on 29 September. The public release added voice and visual modes, and OpenAI said it had placed inference capacity in different regions to bring down delay.

Nikunj Handa, who leads APIs product work at OpenAI, said his team had seen TypeSafe’s Jev model and moved quickly to build a version of its own. He said the service came from reworking ChatGPT Luna rather than training a model built specifically for decisions.

Handa said the main benefit was speed, which he described as falling from one to three seconds to about 100, 120 or 180 milliseconds. He also said OpenAI could make the service faster still and use it for frame-by-frame video calls.

The article said early customers included Box, Datadog, Ramp and Speak, and that some used the API in place of OpenAI’s larger language models. Speak’s CTO, Andrew Hsu, said the time between actions fell from 1.4 seconds to 0.13 seconds.

The piece said it remained unclear what made a good decision model, and that benchmark results varied by workload. TypeSafe’s Diogo Almeida said he did not trust benchmarks, while the article noted that Jev led JevMan and that public indices put other models higher in some rankings.

Named in this story

People

Nikunj Handa
OpenAI’s APIs product lead who described the build and its speed
Diogo Almeida
TypeSafe’s chief executive who said he distrusted benchmarks
Andrew Hsu
Speak’s CTO who said the service reduced delays

Companies

OpenAI
made Decisions API generally available and added voice and visual modes
TypeSafe
startup whose Jev model helped define the market
Box
one of the customers in early trials
Datadog
one of the customers in early trials
Ramp
one of the customers in early trials
Speak
language-tutoring company that used the API
Liquid
company that released D1 Ultra
Opper AI
company that built JevMan

Organisations

OpenRouter
platform where TypeSafe’s offerings were most queried

Products and systems

Decisions API
the service OpenAI released more widely
Jev
TypeSafe’s decision model family that set a reference point for the category
ChatGPT Luna
OpenAI model reconfigured to power the service
D1 Ultra
decision model that topped some public benchmarks
AIM System One Index
benchmark that favoured rival models
Artificial Analysis Decision Index
benchmark that favoured rival models
Base Lab’s Elephant-1
model that scored highly on the public indices
JevMan
benchmark where models played PacMan

How the source tells it

The piece reads like a launch story with vendor boosterism, benchmark jockeying and forward-looking claims about new use cases.

  • vendor boosterism an executive’s enthusiastic claims about many uses and hidden opportunities are repeated without challenge
  • speed obsession the product’s worth is framed through millisecond comparisons and latency reductions
  • speculative hype the closing turns possible future uses into an expected outcome