Zerank 1 vs Jina Reranker v2 Base Multilingual

Detailed comparison between Zerank 1 and Jina Reranker v2 Base Multilingual. See which reranker best meets your accuracy and performance needs.

Model Comparison

Zerank 1 takes the lead.

Both Zerank 1 and Jina Reranker v2 Base Multilingual are powerful reranking models designed to improve retrieval quality in RAG applications. However, their performance characteristics differ in important ways.

Why Zerank 1:

  • Zerank 1 has 307 higher ELO rating
  • Zerank 1 is 285ms faster on average
  • Zerank 1 has a 25.1% higher win rate

Overview

Key metrics

ELO Rating

Overall ranking quality

Zerank 1

1642

Jina Reranker v2 Base Multilingual

1335

Win Rate

Head-to-head performance

Zerank 1

62.9%

Jina Reranker v2 Base Multilingual

37.8%

Accuracy (nDCG@10)

Ranking quality metric

Zerank 1

0.676

Jina Reranker v2 Base Multilingual

0.671

Average Latency

Response time

Zerank 1

1126ms

Jina Reranker v2 Base Multilingual

1411ms

Visual Performance Analysis

Performance

ELO Rating Comparison

Win/Loss/Tie Breakdown

Accuracy Across Datasets (nDCG@10)

Latency Distribution (ms)

Breakdown

How the models stack up

MetricZerank 1Jina Reranker v2 Base MultilingualDescription
Overall Performance
ELO Rating
1642
1335
Overall ranking quality based on pairwise comparisons
Win Rate
62.9%
37.8%
Percentage of comparisons won against other models
Pricing & Availability
Price per 1M tokens
$0.025
$0.045
Cost per million tokens processed
Release Date
2025-07-10
2024-06-25
Model release date
Accuracy Metrics
Avg nDCG@10
0.676
0.671
Normalized discounted cumulative gain at position 10
Performance Metrics
Avg Latency
1126ms
1411ms
Average response time across all datasets

Dataset Performance

By field

Comprehensive comparison of accuracy metrics (nDCG, Recall) and latency percentiles for each benchmark dataset.

FiQa

MetricZerank 1Jina Reranker v2 Base MultilingualDescription
Accuracy Metrics
nDCG@5
0.115
0.112
Ranking quality at top 5 results
nDCG@10
0.121
0.121
Ranking quality at top 10 results
Recall@5
0.105
0.105
% of relevant docs in top 5
Recall@10
0.125
0.130
% of relevant docs in top 10
Latency Metrics
Mean
995ms
2294ms
Average response time
P50
992ms
1949ms
50th percentile (median)
P90
1124ms
4906ms
90th percentile

SciFact

MetricZerank 1Jina Reranker v2 Base MultilingualDescription
Accuracy Metrics
nDCG@5
0.863
0.830
Ranking quality at top 5 results
nDCG@10
0.866
0.832
Ranking quality at top 10 results
Recall@5
0.916
0.871
% of relevant docs in top 5
Recall@10
0.920
0.876
% of relevant docs in top 10
Latency Metrics
Mean
1358ms
1123ms
Average response time
P50
1287ms
1015ms
50th percentile (median)
P90
1571ms
1285ms
90th percentile

PG

MetricZerank 1Jina Reranker v2 Base MultilingualDescription
Accuracy Metrics
Latency Metrics
Mean
1238ms
994ms
Average response time
P50
1217ms
839ms
50th percentile (median)
P90
1316ms
1436ms
90th percentile

business reports

MetricZerank 1Jina Reranker v2 Base MultilingualDescription
Accuracy Metrics
Latency Metrics
Mean
1072ms
2191ms
Average response time
P50
1070ms
1237ms
50th percentile (median)
P90
1273ms
5520ms
90th percentile

MSMARCO

MetricZerank 1Jina Reranker v2 Base MultilingualDescription
Accuracy Metrics
nDCG@5
0.967
0.985
Ranking quality at top 5 results
nDCG@10
0.971
0.985
Ranking quality at top 10 results
Recall@5
0.987
1.000
% of relevant docs in top 5
Recall@10
0.993
1.000
% of relevant docs in top 10
Latency Metrics
Mean
1005ms
1100ms
Average response time
P50
993ms
1023ms
50th percentile (median)
P90
1071ms
1642ms
90th percentile

DBPedia

MetricZerank 1Jina Reranker v2 Base MultilingualDescription
Accuracy Metrics
nDCG@5
0.715
0.677
Ranking quality at top 5 results
nDCG@10
0.747
0.744
Ranking quality at top 10 results
Recall@5
0.064
0.064
% of relevant docs in top 5
Recall@10
0.103
0.106
% of relevant docs in top 10
Latency Metrics
Mean
1085ms
763ms
Average response time
P50
1036ms
796ms
50th percentile (median)
P90
1243ms
1021ms
90th percentile

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