Jev beats Gemini 2.5 Flash Lite on classifier eval quality and speed
Malte Ubl ran TypeSafe AI's Jev against an existing classifier eval, where it saturated the eval on quality and was 6x faster than Gemini 2.5 Flash Lite.
Using Jev for Data Classification
The author uses a large volume of Hansard reports, news archives, and social media posts to construct context and stakeholder profiles, and uses Jev for classification.
Here’s how it works under the hood: Data feeds: I pulled a massive volume of Hansard reports (official government records), news archives, and social media posts to construct the context of the situation and a profile of each relevant stakeholder. Classification: I use Jev to
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Fast row classification in DuckDB with Jev
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Classifying 1,018 AI Papers with Jev for $0.08
The author summarized each paper with DeepSeek V4 Flash, then sent the title, summary, and 24 candidate topics to Jev for classification, processing 1,018 AI papers at $0.08 total cost and 256ms median end-to-end latency per paper.
