Jina Reranker v2 Base Multilingual vs Contextual AI Rerank v2 Instruct

Detailed comparison between Jina Reranker v2 Base Multilingual and Contextual AI Rerank v2 Instruct. See which reranker best meets your accuracy and performance needs.

Model Comparison

Contextual AI Rerank v2 Instruct takes the lead.

Both Jina Reranker v2 Base Multilingual and Contextual AI Rerank v2 Instruct 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 164 higher ELO rating
  • Contextual AI Rerank v2 Instruct delivers better accuracy (nDCG@10: 0.114 vs 0.080)
  • Contextual AI Rerank v2 Instruct has a 14.7% higher win rate

Overview

Key metrics

ELO Rating

Overall ranking quality

Jina Reranker v2 Base Multilingual

1316

Contextual AI Rerank v2 Instruct

1481

Win Rate

Head-to-head performance

Jina Reranker v2 Base Multilingual

30.4%

Contextual AI Rerank v2 Instruct

45.1%

Accuracy (nDCG@10)

Ranking quality metric

Jina Reranker v2 Base Multilingual

0.080

Contextual AI Rerank v2 Instruct

0.114

Average Latency

Response time

Jina Reranker v2 Base Multilingual

746ms

Contextual AI Rerank v2 Instruct

3333ms

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

MetricJina Reranker v2 Base MultilingualContextual AI Rerank v2 InstructDescription
Overall Performance
ELO Rating
1316
1481
Overall ranking quality based on pairwise comparisons
Win Rate
30.4%
45.1%
Percentage of comparisons won against other models
Pricing & Availability
Price per 1M tokens
$0.045
$0.050
Cost per million tokens processed
Release Date
2024-06-25
2025-09-12
Model release date
Accuracy Metrics
Avg nDCG@10
0.080
0.114
Normalized discounted cumulative gain at position 10
Performance Metrics
Avg Latency
746ms
3333ms
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

MetricJina Reranker v2 Base MultilingualContextual AI Rerank v2 InstructDescription
Latency Metrics
Mean
694ms
3283ms
Average response time
P50
616ms
3260ms
50th percentile (median)
P90
911ms
3885ms
90th percentile

arguana

MetricJina Reranker v2 Base MultilingualContextual AI Rerank v2 InstructDescription
Accuracy Metrics
nDCG@5
0.314
0.525
Ranking quality at top 5 results
nDCG@10
0.374
0.560
Ranking quality at top 10 results
Recall@5
0.580
0.860
% of relevant docs in top 5
Recall@10
0.760
0.960
% of relevant docs in top 10
Latency Metrics
Mean
689ms
3627ms
Average response time
P50
617ms
3601ms
50th percentile (median)
P90
834ms
4037ms
90th percentile

FiQa

MetricJina Reranker v2 Base MultilingualContextual AI Rerank v2 InstructDescription
Accuracy Metrics
nDCG@5
0.105
0.119
Ranking quality at top 5 results
nDCG@10
0.108
0.125
Ranking quality at top 10 results
Recall@5
0.088
0.123
% of relevant docs in top 5
Recall@10
0.093
0.135
% of relevant docs in top 10
Latency Metrics
Mean
676ms
3283ms
Average response time
P50
626ms
3209ms
50th percentile (median)
P90
837ms
3891ms
90th percentile

business reports

MetricJina Reranker v2 Base MultilingualContextual AI Rerank v2 InstructDescription
Latency Metrics
Mean
690ms
3231ms
Average response time
P50
620ms
3129ms
50th percentile (median)
P90
824ms
3651ms
90th percentile

PG

MetricJina Reranker v2 Base MultilingualContextual AI Rerank v2 InstructDescription
Latency Metrics
Mean
1059ms
3566ms
Average response time
P50
823ms
3475ms
50th percentile (median)
P90
1744ms
4148ms
90th percentile

DBPedia

MetricJina Reranker v2 Base MultilingualContextual AI Rerank v2 InstructDescription
Latency Metrics
Mean
671ms
3010ms
Average response time
P50
614ms
3042ms
50th percentile (median)
P90
825ms
3283ms
90th percentile

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