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Jev Performance Benchmark

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Jev demonstrates significantly faster performance compared to another model in a controlled test involving document searching and evidence evaluation.

Jev by @typesafeai was ~7× faster in this controlled side-by-side test (1× speed) Same loop on both lanes: pick a query → fork of Omnisearch mcp → official source → read → judge the evidence End-to-end, Jev vs Lina’s model: • TypeSafe docs: 1.47s vs 8.96s • Python docs: 1.28s vs 9.22s • SQLite docs: 1.23s vs 6.86s Both 3/3 Median total: 1.28s vs 8.96s Median decision: 213ms vs 2,436ms Boundary: Jev vs gpt-6-astra, fresh context, low reasoning Prepared query choices; neither generated searches freely