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Jev Rerank Bench

Reranking benchmark that gave Jev, Cohere Rerank 4 Pro, ZeroEntropy zerank-2, and DeepSeek the same thirty BM25 candidates across eight English datasets, publishing saved responses, scoring code, and paired-bootstrap intervals. Jev's rubric scored 0.692 nDCG@10 against Cohere Pro's 0.691.
Stars
10
Language
Python
License
MIT
Reading time
3 min
Published by
Community
Author
anessbelbati
Last verified
Sep 2026

About this project

The write-up: Jev vs Cohere Rerank 4 Pro vs zerank-2: reranker benchmark walks through the results, the negation test and the Qwen follow-up. I gave TypeSafe's Jev thirty search results and asked it which ones were useful. Then I gave Cohere and ZeroEntropy the same passages. This repository contains the experiments, saved responses and scoring code.

Quoted from the project's README. Read the full README.

Highlights

  • Gave Jev, Cohere, ZeroEntropy, and DeepSeek the same thirty BM25 candidates across eight English datasets.
  • Jev's 4-level rubric scored 0.692 nDCG@10, Cohere Rerank 4 Pro 0.691, with a 95% interval of -0.009 to +0.012.
  • Jev did better on negation: 71% of NevIR pairs right versus Cohere's 67%.
  • Jev's rubric cost $0.45 per 1,000 queries at 422 ms mean, against Cohere Pro's $2.51 and 844 ms.
  • Saves every ranking response, score, latency, usage, and cost; recorded API usage was about $61.

Watch out

MIT for the code, while dataset content keeps its source licenses (BEIR, BRIGHT, CodeSearchNet, NevIR, MIRACL). Reproduction needs TypeSafe, OpenRouter, and ZeroEntropy keys, and the paired intervals are exploratory without multiple-comparison adjustment.

Questions about this entry

Short answers drawn from the linked project or page.

Reactions & coverage

Posts, threads, and videos about this entry from around the web.

X: Search and tagging on keep.md

X: Jev reranks station suggestions in TrainLCD

YouTube: Jev in the reranking step of a RAG pipeline: why cosine similarity fails and how a steerable reranker compares. A Colab notebook comes with it.

X: LinkedIn bookmarks search

From the Jev guides

Original write-ups on what this entry is for.

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