Voyage AI Rerank 2.5 vs Zerank 1 Small
Detailed comparison between Voyage AI Rerank 2.5 and Zerank 1 Small. See which reranker best meets your accuracy and performance needs.
Model Comparison
Voyage AI Rerank 2.5 takes the lead.
Both Voyage AI Rerank 2.5 and Zerank 1 Small are powerful reranking models designed to improve retrieval quality in RAG applications. However, their performance characteristics differ in important ways.
Why Voyage AI Rerank 2.5:
- Voyage AI Rerank 2.5 has 52 higher ELO rating
- Voyage AI Rerank 2.5 is 656ms faster on average
- Voyage AI Rerank 2.5 has a 7.5% higher win rate
Overview
Key metrics
ELO Rating
Overall ranking quality
Voyage AI Rerank 2.5
Zerank 1 Small
Win Rate
Head-to-head performance
Voyage AI Rerank 2.5
Zerank 1 Small
Accuracy (nDCG@10)
Ranking quality metric
Voyage AI Rerank 2.5
Zerank 1 Small
Average Latency
Response time
Voyage AI Rerank 2.5
Zerank 1 Small
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 | Voyage AI Rerank 2.5 | Zerank 1 Small | Description |
|---|---|---|---|
| Overall Performance | |||
| ELO Rating | 1601 | 1549 | Overall ranking quality based on pairwise comparisons |
| Win Rate | 65.2% | 57.7% | Percentage of comparisons won against other models |
| Accuracy Metrics | |||
| Avg nDCG@10 | 0.501 | 0.498 | Normalized discounted cumulative gain at position 10 |
| Performance Metrics | |||
| Avg Latency | 595ms | 1251ms | 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 | Voyage AI Rerank 2.5 | Zerank 1 Small | Description |
|---|---|---|---|
| Accuracy Metrics | |||
| nDCG@5 | 0.108 | 0.114 | Ranking quality at top 5 results |
| nDCG@10 | 0.119 | 0.124 | Ranking quality at top 10 results |
| Recall@5 | 0.098 | 0.098 | % of relevant docs in top 5 |
| Recall@10 | 0.128 | 0.125 | % of relevant docs in top 10 |
| Latency Metrics | |||
| Mean | 530ms | 1183ms | Average response time |
| P50 | 482ms | 1170ms | 50th percentile (median) |
| P90 | 722ms | 1357ms | 90th percentile |
BEIR/scifact
| Metric | Voyage AI Rerank 2.5 | Zerank 1 Small | Description |
|---|---|---|---|
| Accuracy Metrics | |||
| nDCG@5 | 0.865 | 0.869 | Ranking quality at top 5 results |
| nDCG@10 | 0.882 | 0.872 | Ranking quality at top 10 results |
| Recall@5 | 0.892 | 0.916 | % of relevant docs in top 5 |
| Recall@10 | 0.940 | 0.920 | % of relevant docs in top 10 |
| Latency Metrics | |||
| Mean | 667ms | 1345ms | Average response time |
| P50 | 621ms | 1272ms | 50th percentile (median) |
| P90 | 819ms | 1552ms | 90th percentile |
PG
| Metric | Voyage AI Rerank 2.5 | Zerank 1 Small | Description |
|---|---|---|---|
| Accuracy Metrics | |||
| Latency Metrics | |||
| Mean | 588ms | 1224ms | Average response time |
| P50 | 611ms | 1187ms | 50th percentile (median) |
| P90 | 746ms | 1307ms | 90th percentile |
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