Jev performs really well in some evals for Executor Closest
Reported that Jev scored well on Executor evals, beat Gemma and vector search locally, and was cheap enough to ship despite data concerns.
The original post
Jev performs really well in some evals for Executor Closest local equivalent is Gemma & vector search but it’s worse and bloats the local app Figuring out what shipping it locally looks like - it’s cheap enough I’m happy to have the cost of it but is more about the data
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.
Related Jev cases
The gains aren’t free: Jev can't generate text Comparing
Dev toolsClassification
Jev was adopted faster than any other model in AI Gateway
Classification
[Breaking News] ChatGPT Co-Inventor Unveils New AI Model
Classification
i made an llm from first principles with Jev 29 yes/no
Classification
Keep browsing: all 1173 Jev cases · more from @RhysSullivan · builders · what Jev is
Last updated: 2026-09-22 · sources & corrections · every card links to its author's original post