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yoDEV Decisions: Compare Jev with GPT, Gemini, Claude or any LLM with your own data

Hoy abrimos yoDEV Decisions , una herramienta gratuita para miembros de yoDEV que ejecuta la misma pregunta en Jev y en el LLM que elijas, fila por fila, y compara los resultados: exactitud, calibración, costo y latencia. La idea surgió de nuestro artículo sobre Jev de TypeSafe . Allí concluimos que las cifras de un proveedor no sustituyen una medición propia y que los equipos de Iberoamérica…

Translated from Spanish Read in Spanish

yoDEV has launched yoDEV Decisions, a free tool for its members that compares the performance of Jev and a chosen Large Language Model (LLM) in terms of accuracy, calibration, cost, and latency. The tool, which uses OpenRouter for LLM connections, has produced initial results comparing Jev with four popular LLMs - GPT-4o mini, Gemini 2.5 Flash, Claude Haiku 4.5, and Llama 3.3 70B - across four datasets.

Jev was found to be the most cost-effective and had comparable accuracy to the LLMs, with a median latency of around 250ms, while the LLMs took between 1 and 2.3 seconds. The tool also allows users to test with their own data and recommends a combined strategy of using Jev and an LLM to achieve optimal results.

Written by urgent.news from Dev.to's report — not a translation of it. Machine-written — may contain errors; check the original before relying on it.

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