@typesafeai jev is 5x faster and 1000x cheaper than astra
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 viewssource@typesafeai on computer use is looking pretty good 👀
Engagement when collected
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.
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Last updated: 2026-09-22 · sources & corrections · every card links to its author's original post