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 147 higher ELO rating
  • Zerank 1 delivers better accuracy (nDCG@10: 0.493 vs 0.477)
  • Jina Reranker v2 Base Multilingual is 212ms faster on average
  • Zerank 1 has a 19.9% higher win rate

Overview

Key metrics

ELO Rating

Overall ranking quality

Zerank 1

1605

Jina Reranker v2 Base Multilingual

1458

Win Rate

Head-to-head performance

Zerank 1

63.1%

Jina Reranker v2 Base Multilingual

43.2%

Accuracy (nDCG@10)

Ranking quality metric

Zerank 1

0.493

Jina Reranker v2 Base Multilingual

0.477

Average Latency

Response time

Zerank 1

1256ms

Jina Reranker v2 Base Multilingual

1044ms

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
1605
1458
Overall ranking quality based on pairwise comparisons
Win Rate
63.1%
43.2%
Percentage of comparisons won against other models
Accuracy Metrics
Avg nDCG@10
0.493
0.477
Normalized discounted cumulative gain at position 10
Performance Metrics
Avg Latency
1256ms
1044ms
Average response time across all datasets

Dataset Performance

By field

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

BEIR/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
1172ms
1014ms
Average response time
P50
1179ms
827ms
50th percentile (median)
P90
1326ms
1605ms
90th percentile

BEIR/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

Explore More

Compare more rerankers

See how all reranking models stack up. Compare Cohere, Jina AI, Voyage, ZeRank, and more. View comprehensive benchmarks, compare performance metrics, and find the perfect reranker for your RAG application.