devwithjev
— reading now— views
Submit a build

Categorizes Banking-Feed Transactions

Peter tested JEV 1.13 on 612 rows in a banking-feed categorization task from a real product already serving many customers. JEV finished in 6 seconds, cost $0.023, and achieved 36.1% category accuracy.

View on X cost$0.023time6s
Peter@LordMarket22𝕏
I TESTED JEV against Gemini 2.5 and 3.7 on a banking-feed categorization task from our REAL PRODUCT, already serving MANY customers. 612 rows. JEV finished in 6 SECONDS. Cost / time / category accuracy: Gemini 2.5 Flash — ~$0.088* · 95s · 37.3% Gemini 3.7 Flash — ~$0.180* · 78s · 42.5% JEV 1.13 — $0.023 · 6s · 36.1% Gemini 3.7 scored highest. JEV? Roughly 4× cheaper and 16× faster than our Gemini
Sep 22, 2026X postsView on X
In the same test, Gemini 2.5 Flash scored 37.3% and Gemini 3.7 Flash scored 42.5%. Peter said Gemini 3.7 scored highest, while JEV was roughly 4× cheaper and 16× faster than their Gemini.

Also filed under Triage & routing

  • How to Build Things with Jev & OpenJevs

    How to Build Things with Jev & OpenJevs In this video, we build a model router using both the API-based original Jev and also using Semif. ‍ Github: code will be up in ...

  • Jev is HERE. How to use it

    Jev is HERE. How to use it In this episode, I talk with Ryan Vogel about Jev, a new type of AI built for classification. Ryan shows how Jev takes an input plus ...

  • Jev-Shaped Classification Wrapper

    jevper is a Jev-shaped classification wrapper over OpenAI-compatible clients that returns probabilities and confidence.

  • Local Jev Protocol Multi-Upstream Router

    jev-switch is a local multi-upstream router for the Jev protocol with a Rust backend and React interface.