Zerank 2 vs Jina Reranker v2 Base Multilingual
Detailed comparison between Zerank 2 and Jina Reranker v2 Base Multilingual. See which reranker best meets your accuracy and performance needs.
Model Comparison
Zerank 2 takes the lead.
Both Zerank 2 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 2:
- Zerank 2 has 342 higher ELO rating
- Zerank 2 is 481ms faster on average
- Zerank 2 has a 32.6% higher win rate
Overview
Key metrics
ELO Rating
Overall ranking quality
Zerank 2
Jina Reranker v2 Base Multilingual
Win Rate
Head-to-head performance
Zerank 2
Jina Reranker v2 Base Multilingual
Accuracy (nDCG@10)
Ranking quality metric
Zerank 2
Jina Reranker v2 Base Multilingual
Average Latency
Response time
Zerank 2
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 2 | Jina Reranker v2 Base Multilingual | Description |
|---|---|---|---|
| Overall Performance | |||
| ELO Rating | 1658 | 1316 | Overall ranking quality based on pairwise comparisons |
| Win Rate | 63.0% | 30.4% | Percentage of comparisons won against other models |
| Pricing & Availability | |||
| Price per 1M tokens | $0.025 | $0.045 | Cost per million tokens processed |
| Release Date | 2025-11-18 | 2024-06-25 | Model release date |
| Accuracy Metrics | |||
| Avg nDCG@10 | 0.079 | 0.080 | Normalized discounted cumulative gain at position 10 |
| Performance Metrics | |||
| Avg Latency | 265ms | 746ms | Average response time across all datasets |
Dataset Performance
By field
Comprehensive comparison of accuracy metrics (nDCG, Recall) and latency percentiles for each benchmark dataset.
MSMARCO
| Metric | Zerank 2 | Jina Reranker v2 Base Multilingual | Description |
|---|---|---|---|
| Latency Metrics | |||
| Mean | 233ms | 694ms | Average response time |
| P50 | 228ms | 616ms | 50th percentile (median) |
| P90 | 251ms | 911ms | 90th percentile |
arguana
| Metric | Zerank 2 | Jina Reranker v2 Base Multilingual | Description |
|---|---|---|---|
| Accuracy Metrics | |||
| nDCG@5 | 0.283 | 0.314 | Ranking quality at top 5 results |
| nDCG@10 | 0.355 | 0.374 | Ranking quality at top 10 results |
| Recall@5 | 0.540 | 0.580 | % of relevant docs in top 5 |
| Recall@10 | 0.760 | 0.760 | % of relevant docs in top 10 |
| Latency Metrics | |||
| Mean | 280ms | 689ms | Average response time |
| P50 | 278ms | 617ms | 50th percentile (median) |
| P90 | 312ms | 834ms | 90th percentile |
FiQa
| Metric | Zerank 2 | Jina Reranker v2 Base Multilingual | Description |
|---|---|---|---|
| Accuracy Metrics | |||
| nDCG@5 | 0.108 | 0.105 | Ranking quality at top 5 results |
| nDCG@10 | 0.119 | 0.108 | Ranking quality at top 10 results |
| Recall@5 | 0.098 | 0.088 | % of relevant docs in top 5 |
| Recall@10 | 0.130 | 0.093 | % of relevant docs in top 10 |
| Latency Metrics | |||
| Mean | 251ms | 676ms | Average response time |
| P50 | 254ms | 626ms | 50th percentile (median) |
| P90 | 270ms | 837ms | 90th percentile |
business reports
| Metric | Zerank 2 | Jina Reranker v2 Base Multilingual | Description |
|---|---|---|---|
| Latency Metrics | |||
| Mean | 288ms | 690ms | Average response time |
| P50 | 269ms | 620ms | 50th percentile (median) |
| P90 | 367ms | 824ms | 90th percentile |
PG
| Metric | Zerank 2 | Jina Reranker v2 Base Multilingual | Description |
|---|---|---|---|
| Latency Metrics | |||
| Mean | 293ms | 1059ms | Average response time |
| P50 | 281ms | 823ms | 50th percentile (median) |
| P90 | 328ms | 1744ms | 90th percentile |
DBPedia
| Metric | Zerank 2 | Jina Reranker v2 Base Multilingual | Description |
|---|---|---|---|
| Latency Metrics | |||
| Mean | 247ms | 671ms | Average response time |
| P50 | 242ms | 614ms | 50th percentile (median) |
| P90 | 274ms | 825ms | 90th percentile |
Explore More
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