Contextual AI Rerank v2 Instruct vs Jina Reranker v2 Base Multilingual
Detailed comparison between Contextual AI Rerank v2 Instruct and Jina Reranker v2 Base Multilingual. See which reranker best meets your accuracy and performance needs.
Model Comparison
Contextual AI Rerank v2 Instruct takes the lead.
Both Contextual AI Rerank v2 Instruct 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 Contextual AI Rerank v2 Instruct:
- Contextual AI Rerank v2 Instruct has 155 higher ELO rating
- Contextual AI Rerank v2 Instruct delivers better accuracy (nDCG@10: 0.230 vs 0.193)
- Contextual AI Rerank v2 Instruct has a 13.8% higher win rate
Overview
Key metrics
ELO Rating
Overall ranking quality
Contextual AI Rerank v2 Instruct
Jina Reranker v2 Base Multilingual
Win Rate
Head-to-head performance
Contextual AI Rerank v2 Instruct
Jina Reranker v2 Base Multilingual
Accuracy (nDCG@10)
Ranking quality metric
Contextual AI Rerank v2 Instruct
Jina Reranker v2 Base Multilingual
Average Latency
Response time
Contextual AI Rerank v2 Instruct
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 | Contextual AI Rerank v2 Instruct | Jina Reranker v2 Base Multilingual | Description |
|---|---|---|---|
| Overall Performance | |||
| ELO Rating | 1461 | 1306 | Overall ranking quality based on pairwise comparisons |
| Win Rate | 42.3% | 28.5% | Percentage of comparisons won against other models |
| Pricing & Availability | |||
| Price per 1M tokens | $0.050 | $0.045 | Cost per million tokens processed |
| Release Date | 2025-09-12 | 2024-06-25 | Model release date |
| Accuracy Metrics | |||
| Avg nDCG@10 | 0.230 | 0.193 | Normalized discounted cumulative gain at position 10 |
| Performance Metrics | |||
| Avg Latency | 3333ms | 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 | Contextual AI Rerank v2 Instruct | Jina Reranker v2 Base Multilingual | Description |
|---|---|---|---|
| Accuracy Metrics | |||
| nDCG@5 | 0.510 | 0.499 | Ranking quality at top 5 results |
| nDCG@10 | 0.538 | 0.539 | Ranking quality at top 10 results |
| Recall@5 | 0.720 | 0.680 | % of relevant docs in top 5 |
| Recall@10 | 0.800 | 0.800 | % of relevant docs in top 10 |
| Latency Metrics | |||
| Mean | 3283ms | 694ms | Average response time |
| P50 | 3260ms | 616ms | 50th percentile (median) |
| P90 | 3885ms | 911ms | 90th percentile |
arguana
| Metric | Contextual AI Rerank v2 Instruct | Jina Reranker v2 Base Multilingual | Description |
|---|---|---|---|
| Accuracy Metrics | |||
| nDCG@5 | 0.525 | 0.314 | Ranking quality at top 5 results |
| nDCG@10 | 0.560 | 0.374 | Ranking quality at top 10 results |
| Recall@5 | 0.860 | 0.580 | % of relevant docs in top 5 |
| Recall@10 | 0.960 | 0.760 | % of relevant docs in top 10 |
| Latency Metrics | |||
| Mean | 3627ms | 689ms | Average response time |
| P50 | 3601ms | 617ms | 50th percentile (median) |
| P90 | 4037ms | 834ms | 90th percentile |
FiQa
| Metric | Contextual AI Rerank v2 Instruct | Jina Reranker v2 Base Multilingual | Description |
|---|---|---|---|
| Accuracy Metrics | |||
| nDCG@5 | 0.119 | 0.105 | Ranking quality at top 5 results |
| nDCG@10 | 0.125 | 0.108 | Ranking quality at top 10 results |
| Recall@5 | 0.123 | 0.088 | % of relevant docs in top 5 |
| Recall@10 | 0.135 | 0.093 | % of relevant docs in top 10 |
| Latency Metrics | |||
| Mean | 3283ms | 676ms | Average response time |
| P50 | 3209ms | 626ms | 50th percentile (median) |
| P90 | 3891ms | 837ms | 90th percentile |
business reports
| Metric | Contextual AI Rerank v2 Instruct | Jina Reranker v2 Base Multilingual | Description |
|---|---|---|---|
| Latency Metrics | |||
| Mean | 3231ms | 690ms | Average response time |
| P50 | 3129ms | 620ms | 50th percentile (median) |
| P90 | 3651ms | 824ms | 90th percentile |
PG
| Metric | Contextual AI Rerank v2 Instruct | Jina Reranker v2 Base Multilingual | Description |
|---|---|---|---|
| Latency Metrics | |||
| Mean | 3566ms | 1059ms | Average response time |
| P50 | 3475ms | 823ms | 50th percentile (median) |
| P90 | 4148ms | 1744ms | 90th percentile |
DBPedia
| Metric | Contextual AI Rerank v2 Instruct | Jina Reranker v2 Base Multilingual | Description |
|---|---|---|---|
| Accuracy Metrics | |||
| nDCG@5 | 0.158 | 0.128 | Ranking quality at top 5 results |
| nDCG@10 | 0.159 | 0.136 | Ranking quality at top 10 results |
| Recall@5 | 0.004 | 0.004 | % of relevant docs in top 5 |
| Recall@10 | 0.005 | 0.005 | % of relevant docs in top 10 |
| Latency Metrics | |||
| Mean | 3010ms | 671ms | Average response time |
| P50 | 3042ms | 614ms | 50th percentile (median) |
| P90 | 3283ms | 825ms | 90th percentile |
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