Zerank 1 Small vs Jina Reranker v2 Base Multilingual
Detailed comparison between Zerank 1 Small and Jina Reranker v2 Base Multilingual. See which reranker best meets your accuracy and performance needs.
Model Comparison
Zerank 1 Small takes the lead.
Both Zerank 1 Small 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 Small:
- Zerank 1 Small has 91 higher ELO rating
- Zerank 1 Small delivers better accuracy (nDCG@10: 0.498 vs 0.477)
- Jina Reranker v2 Base Multilingual is 207ms faster on average
- Zerank 1 Small has a 14.5% higher win rate
Overview
Key metrics
ELO Rating
Overall ranking quality
Zerank 1 Small
Jina Reranker v2 Base Multilingual
Win Rate
Head-to-head performance
Zerank 1 Small
Jina Reranker v2 Base Multilingual
Accuracy (nDCG@10)
Ranking quality metric
Zerank 1 Small
Jina Reranker v2 Base Multilingual
Average Latency
Response time
Zerank 1 Small
Jina Reranker v2 Base Multilingual
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 | Zerank 1 Small | Jina Reranker v2 Base Multilingual | Description |
|---|---|---|---|
| Overall Performance | |||
| ELO Rating | 1549 | 1458 | Overall ranking quality based on pairwise comparisons |
| Win Rate | 57.7% | 43.2% | Percentage of comparisons won against other models |
| Accuracy Metrics | |||
| Avg nDCG@10 | 0.498 | 0.477 | Normalized discounted cumulative gain at position 10 |
| Performance Metrics | |||
| Avg Latency | 1251ms | 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
| Metric | Zerank 1 Small | Jina Reranker v2 Base Multilingual | Description |
|---|---|---|---|
| Accuracy Metrics | |||
| nDCG@5 | 0.114 | 0.112 | Ranking quality at top 5 results |
| nDCG@10 | 0.124 | 0.121 | Ranking quality at top 10 results |
| Recall@5 | 0.098 | 0.105 | % of relevant docs in top 5 |
| Recall@10 | 0.125 | 0.130 | % of relevant docs in top 10 |
| Latency Metrics | |||
| Mean | 1183ms | 1014ms | Average response time |
| P50 | 1170ms | 827ms | 50th percentile (median) |
| P90 | 1357ms | 1605ms | 90th percentile |
BEIR/scifact
| Metric | Zerank 1 Small | Jina Reranker v2 Base Multilingual | Description |
|---|---|---|---|
| Accuracy Metrics | |||
| nDCG@5 | 0.869 | 0.830 | Ranking quality at top 5 results |
| nDCG@10 | 0.872 | 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 | 1345ms | 1123ms | Average response time |
| P50 | 1272ms | 1015ms | 50th percentile (median) |
| P90 | 1552ms | 1285ms | 90th percentile |
PG
| Metric | Zerank 1 Small | Jina Reranker v2 Base Multilingual | Description |
|---|---|---|---|
| Accuracy Metrics | |||
| Latency Metrics | |||
| Mean | 1224ms | 994ms | Average response time |
| P50 | 1187ms | 839ms | 50th percentile (median) |
| P90 | 1307ms | 1436ms | 90th percentile |
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