Jev is slightly faster than OpenAI's Decisions API, but the difference is not significant for most use cases. The Decisions API offers better accuracy and excels in image classification.
added by @cantrell
I just used https://t.co/171nvtTD5P to compare Jev with @OpenAI's new Decisions API. The upshot:
• Jev is slightly faster, but unless your use case is extremely latency-sensitive, not meaningfully. • The Decisions API is slightly more accurate. (Jev just can't do date math.) • If you need to classify images, the Decisions API is the clear winner. No comparison.
Overall, if you're already using OpenAI APIs, I think it's pretty hard to make the case for Jev. Anyone finding different results?
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Ranked from stored criteria vectors. No live classification on this page.
The argument validator in PatchOpsAi, built with Luna, shows performance metrics of 1.1–2.8 seconds, while @typesafeai's Jev took 195–251 ms on the validator and 221–901 ms on the scanner.
Early experiments compare the Jev model from Typesafe AI with LLMs like GPT-OSS and GLM. Results indicate Jev may be suitable for production workloads, offering competitive pricing and performance.
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