@typesafeai jev is 5x faster and 1000x cheaper than astra

The clip posted with this case (hosted by the collector’s media CDN); original post on X · 30s.

Benchmarked Jev against Astra on 2048, finding it 5x faster and 1000x cheaper while trading off reasoning quality.

The original post

@typesafeai jev is 5x faster and 1000x cheaper than astra at playing 2048! though it (clearly) does not excel at reasoning compared to state of the art models like astra and fable

what should we try next?

Quoted post

@injaneity24.7K views
source

@typesafeai on computer use is looking pretty good 👀

Engagement when collected

Views3.4K
Likes29
Bookmarks8
Reposts4
Replies5
Quotes1

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.

Where this case fits

Filed under classification & data extraction. In the pattern Jev is built for, the model answers a bounded question per step — and ordinary code acts on the answer, because the answer is already a value rather than a paragraph. Other posts in the same family are on the classification & data extraction page.

Related Jev cases

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Last updated: 2026-09-22 · sources & corrections · every card links to its author's original post