OpenRouter Launches Ori Eval for Quantitative Model Selection

OpenRouter 1 hour ago

Key Info

OpenRouter has released Ori Eval, a quantitative evaluation tool that helps you determine which LLM is best for your specific use case, replacing guesswork with data. It is installed with a one-line curl command and run with ori eval.

Highlights

Point Ori Eval at your own project to compare models on your real workload, not subjective impressions.
Setup is a single curl install, then the ori eval command kicks off the evaluation.
It builds on OpenRouter's work testing models like Jev, giving developers a practical way to measure performance.

Original post

7/ At OpenRouter, we built Ori Eval to answer "which model is best for my use case" quantitatively, instead of vibes. Simply point it at your project: $ curl -fsSL https://t.co/vROsUW01Hr | bash $ ori eval Read more at: https://t.co/4l22IZOd3R

#OpenRouter#Ori Eval#LLM evaluation

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