Jev case: man who co-invented ChatGPT just shipped a model

Wired Jev into an Astra build's routing layer, finishing the same task 37 minutes sooner with no malformed responses to retry.

The original post

man who co-invented ChatGPT just shipped a model that does in 0.114 sec what GPT Astra does in 8.5.

i wired Jev into the routing layer of a build i was running on Astra: same task finished 37 MIN SOONER, zero malformed responses to retry.

you hand it a situation and a list of typed questions.

it answers all of them at once, in parallel, with a confidence number attached to each.

no chain of thought, no tokens streaming out one by one.

you stop parsing a JSON blob back into your code and praying it validates, because the model physically cannot answer outside the options you defined.

the numbers TypeSafe publishes for it:

> $0.042 per million input tokens, and output tokens are free

> same accuracy as Sonnet 5 on their eval, 67.8% for both, at 294x less cost and 195x the speed

> 0.114 seconds against 8.566 for GPT-5.6 Terra on the same demo

> their Doom demo has it making around 10 decisions per second

$40M seed led by DCVC, and the name is a nod to Jevons, the economist who showed that cheaper coal meant burning more of it, not less.

this runs underneath the agent, on the calls that happen ten times a second and never get read by a person.

waitlist for the API, but the browser playground is open now. links below.

Quoted post

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@CompleteSkeptic34.6M views

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After co-inventing ChatGPT, I kept asking myself: why have superhuman chat models not led to AGI? I’ve spent the last 2 years in stealth building a new way to train models (RLCD), and a new type of frontier AI model that we are releasing today: Jev • 20-200x faster • 40-400x

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Numbers are a snapshot taken from X when the case was added to the library (schema v1, collected 2026-09-19); they will not match today.