Jina Reranker v2 Base Multilingual vs Zerank 1
Detailed comparison between Jina Reranker v2 Base Multilingual and Zerank 1. See which reranker best meets your accuracy and performance needs.
Model Comparison
Zerank 1 takes the lead.
Both Jina Reranker v2 Base Multilingual and Zerank 1 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
Jina Reranker v2 Base Multilingual
Zerank 1
Win Rate
Head-to-head performance
Jina Reranker v2 Base Multilingual
Zerank 1
Accuracy (nDCG@10)
Ranking quality metric
Jina Reranker v2 Base Multilingual
Zerank 1
Average Latency
Response time
Jina Reranker v2 Base Multilingual
Zerank 1
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
| Metric | Jina Reranker v2 Base Multilingual | Zerank 1 | Description |
|---|---|---|---|
| Overall Performance | |||
| ELO Rating | 1458 | 1605 | Overall ranking quality based on pairwise comparisons |
| Win Rate | 43.2% | 63.1% | Percentage of comparisons won against other models |
| Accuracy Metrics | |||
| Avg nDCG@10 | 0.477 | 0.493 | Normalized discounted cumulative gain at position 10 |
| Performance Metrics | |||
| Avg Latency | 1044ms | 1256ms | 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
| Metric | Jina Reranker v2 Base Multilingual | Zerank 1 | Description |
|---|---|---|---|
| Accuracy Metrics | |||
| nDCG@5 | 0.112 | 0.115 | 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 | 0.130 | 0.125 | % of relevant docs in top 10 |
| Latency Metrics | |||
| Mean | 1014ms | 1172ms | Average response time |
| P50 | 827ms | 1179ms | 50th percentile (median) |
| P90 | 1605ms | 1326ms | 90th percentile |
BEIR/scifact
| Metric | Jina Reranker v2 Base Multilingual | Zerank 1 | Description |
|---|---|---|---|
| Accuracy Metrics | |||
| nDCG@5 | 0.830 | 0.863 | Ranking quality at top 5 results |
| nDCG@10 | 0.832 | 0.866 | Ranking quality at top 10 results |
| Recall@5 | 0.871 | 0.916 | % of relevant docs in top 5 |
| Recall@10 | 0.876 | 0.920 | % of relevant docs in top 10 |
| Latency Metrics | |||
| Mean | 1123ms | 1358ms | Average response time |
| P50 | 1015ms | 1287ms | 50th percentile (median) |
| P90 | 1285ms | 1571ms | 90th percentile |
PG
| Metric | Jina Reranker v2 Base Multilingual | Zerank 1 | Description |
|---|---|---|---|
| Accuracy Metrics | |||
| Latency Metrics | |||
| Mean | 994ms | 1238ms | Average response time |
| P50 | 839ms | 1217ms | 50th percentile (median) |
| P90 | 1436ms | 1316ms | 90th percentile |
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