BAAI/BGE Reranker v2 M3 vs Zerank 1 Small
Detailed comparison between BAAI/BGE Reranker v2 M3 and Zerank 1 Small. See which reranker best meets your accuracy and performance needs.
Model Comparison
Zerank 1 Small takes the lead.
Both BAAI/BGE Reranker v2 M3 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 Zerank 1 Small:
- BAAI/BGE Reranker v2 M3 delivers better accuracy (nDCG@10: 0.686 vs 0.676)
- Zerank 1 Small is 781ms faster on average
- Zerank 1 Small has a 23.2% higher win rate
Overview
Key metrics
ELO Rating
Overall ranking quality
BAAI/BGE Reranker v2 M3
Zerank 1 Small
Win Rate
Head-to-head performance
BAAI/BGE Reranker v2 M3
Zerank 1 Small
Accuracy (nDCG@10)
Ranking quality metric
BAAI/BGE Reranker v2 M3
Zerank 1 Small
Average Latency
Response time
BAAI/BGE Reranker v2 M3
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 | BAAI/BGE Reranker v2 M3 | Zerank 1 Small | Description |
|---|---|---|---|
| Overall Performance | |||
| ELO Rating | 1468 | 1458 | Overall ranking quality based on pairwise comparisons |
| Win Rate | 33.0% | 56.2% | Percentage of comparisons won against other models |
| Pricing & Availability | |||
| Price per 1M tokens | $0.020 | $0.025 | Cost per million tokens processed |
| Release Date | 2023-09-15 | 2025-07-10 | Model release date |
| Accuracy Metrics | |||
| Avg nDCG@10 | 0.686 | 0.676 | Normalized discounted cumulative gain at position 10 |
| Performance Metrics | |||
| Avg Latency | 1891ms | 1109ms | Average response time across all datasets |
Dataset Performance
By field
Comprehensive comparison of accuracy metrics (nDCG, Recall) and latency percentiles for each benchmark dataset.
FiQa
| Metric | BAAI/BGE Reranker v2 M3 | Zerank 1 Small | Description |
|---|---|---|---|
| Accuracy Metrics | |||
| nDCG@5 | 0.112 | 0.114 | Ranking quality at top 5 results |
| nDCG@10 | 0.120 | 0.124 | Ranking quality at top 10 results |
| Recall@5 | 0.105 | 0.098 | % of relevant docs in top 5 |
| Recall@10 | 0.130 | 0.125 | % of relevant docs in top 10 |
| Latency Metrics | |||
| Mean | 1309ms | 969ms | Average response time |
| P50 | 1316ms | 977ms | 50th percentile (median) |
| P90 | 1744ms | 1086ms | 90th percentile |
PG
| Metric | BAAI/BGE Reranker v2 M3 | Zerank 1 Small | Description |
|---|---|---|---|
| Accuracy Metrics | |||
| Latency Metrics | |||
| Mean | 2457ms | 1224ms | Average response time |
| P50 | 1019ms | 1187ms | 50th percentile (median) |
| P90 | 1469ms | 1307ms | 90th percentile |
business reports
| Metric | BAAI/BGE Reranker v2 M3 | Zerank 1 Small | Description |
|---|---|---|---|
| Accuracy Metrics | |||
| Latency Metrics | |||
| Mean | 1143ms | 1051ms | Average response time |
| P50 | 1106ms | 1060ms | 50th percentile (median) |
| P90 | 1641ms | 1171ms | 90th percentile |
MSMARCO
| Metric | BAAI/BGE Reranker v2 M3 | Zerank 1 Small | Description |
|---|---|---|---|
| Accuracy Metrics | |||
| nDCG@5 | 0.985 | 0.965 | Ranking quality at top 5 results |
| nDCG@10 | 0.985 | 0.968 | Ranking quality at top 10 results |
| Recall@5 | 1.000 | 0.987 | % of relevant docs in top 5 |
| Recall@10 | 1.000 | 0.993 | % of relevant docs in top 10 |
| Latency Metrics | |||
| Mean | 2176ms | 1014ms | Average response time |
| P50 | 812ms | 1010ms | 50th percentile (median) |
| P90 | 980ms | 1097ms | 90th percentile |
DBPedia
| Metric | BAAI/BGE Reranker v2 M3 | Zerank 1 Small | Description |
|---|---|---|---|
| Accuracy Metrics | |||
| nDCG@5 | 0.715 | 0.683 | Ranking quality at top 5 results |
| nDCG@10 | 0.778 | 0.739 | Ranking quality at top 10 results |
| Recall@5 | 0.063 | 0.061 | % of relevant docs in top 5 |
| Recall@10 | 0.106 | 0.102 | % of relevant docs in top 10 |
| Latency Metrics | |||
| Mean | 1332ms | 1053ms | Average response time |
| P50 | 831ms | 1034ms | 50th percentile (median) |
| P90 | 1455ms | 1170ms | 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.