Jev vs OpenAI Decisions API: A Follow Up
In my recent article about Jev by TypeSafe AI, I questioned whether its speed, cost, and confidence scores offered enough advantages over conventional LLMs with Structured Outputs.
On October 6, OpenAI announced its Decisions API became available in public beta (see the announcement and the API doc links below).
Powered by GPT-6 Luna, it provides:
- Typed decisions: predicates, predefined choices, and numeric scores.
- Probability and confidence estimates.
- Text and image inputs.
- Claimed ~10× faster responses than the Responses API.
- $0.10 per million input tokens, with no output-token charges.
The functionality is remarkably similar to Jev. OpenAI now offers a specialized API for essentially the same tasks, with comparable pricing.
I would be interested to see independent benchmarks comparing the two APIs, particularly on accuracy, latency, cost, and confidence calibration.
And this development supports my original conclusion about Jev. We already had much of this functionality with Structured Outputs. Specialized decision APIs may make it faster and cheaper, especially at scale.
Pricing, High Load, SLA
Let's start with pricing. Jev costs $0.042 per million input tokens, while OpenAI Decisions API costs $0.10. So Jev is about 2.4 times cheaper. Neither charges for output tokens.
Looking at the upper capacity limits, Jev supports 6 million input tokens per minute, compared with up to 180 million for GPT-6 Luna. That's a 30-fold difference, although the OpenAI figure has yet to be confirmed for Decisions API.
On the infrastructure side, Jev is still expanding its GPU capacity, and its limits may change. OpenAI already offers enterprise capacity reservations, so they may be available for Decisions API.
Finaly, Jev has a clear pricing advantage, while OpenAI appears better positioned for high-load workloads and potentially better SLA. Whether the price advantage is sufficient vs OpenAI's solutions remains an open question. OpenAI definitely has greater bargaining power, capital, and infrastructure resources. If the niche is attractive, competitors will need more advantages than just pricing to survive in it.