Jina Reranker v2 Base Multilingual
Multilingual reranking model built on cross-encoder architecture. Provides accurate relevance scoring for search results across multiple languages. Suitable for both research and commercial deployment.
Model Information
- Provider
- Jina AI
- License
- Open Source
- Model Name
- jina-reranker-v2-base-multilingual
- Total Evaluations
- 375
Performance Record
Wins324 (43.2%)
Losses421 (56.1%)
Ties5 (0.7%)
Wins
Losses
Ties
Performance Overview
ELO ratings by dataset
Jina Reranker v2 Base Multilingual's ELO performance varies across different benchmark datasets, showing its strengths in specific domains.
Jina Reranker v2 Base Multilingual - ELO by Dataset
Detailed Metrics
Dataset breakdown
Performance metrics across different benchmark datasets, including accuracy and latency percentiles.
PG
ELO 146844.4% WR111W-139L-0T
Latency Distribution
- Mean
- 994ms
- P50 (Median)
- 839ms
- P90
- 1436ms
BEIR/fiqa
ELO 145244.4% WR111W-136L-3T
Accuracy Metrics
- nDCG@5
- 0.112
- nDCG@10
- 0.121
- Recall@5
- 0.105
- Recall@10
- 0.130
Latency Distribution
- Mean
- 1014ms
- P50 (Median)
- 827ms
- P90
- 1605ms
BEIR/scifact
ELO 145040.8% WR102W-146L-2T
Accuracy Metrics
- nDCG@5
- 0.830
- nDCG@10
- 0.832
- Recall@5
- 0.871
- Recall@10
- 0.876
Latency Distribution
- Mean
- 1123ms
- P50 (Median)
- 1015ms
- P90
- 1285ms
Compare Models
See how it stacks up
Compare Jina Reranker v2 Base Multilingual with other top rerankers to understand the differences in performance, accuracy, and latency.