Contextual AI Rerank v2 Instruct vs BAAI/BGE Reranker v2 M3

Detailed comparison between Contextual AI Rerank v2 Instruct and BAAI/BGE Reranker v2 M3. 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 BAAI/BGE Reranker v2 M3 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 82 higher ELO rating
  • BAAI/BGE Reranker v2 M3 is 1120ms faster on average
  • Contextual AI Rerank v2 Instruct has a 12.2% higher win rate

Overview

Key metrics

ELO Rating

Overall ranking quality

Contextual AI Rerank v2 Instruct

1550

BAAI/BGE Reranker v2 M3

1468

Win Rate

Head-to-head performance

Contextual AI Rerank v2 Instruct

45.2%

BAAI/BGE Reranker v2 M3

33.0%

Accuracy (nDCG@10)

Ranking quality metric

Contextual AI Rerank v2 Instruct

0.687

BAAI/BGE Reranker v2 M3

0.686

Average Latency

Response time

Contextual AI Rerank v2 Instruct

3010ms

BAAI/BGE Reranker v2 M3

1891ms

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

MetricContextual AI Rerank v2 InstructBAAI/BGE Reranker v2 M3Description
Overall Performance
ELO Rating
1550
1468
Overall ranking quality based on pairwise comparisons
Win Rate
45.2%
33.0%
Percentage of comparisons won against other models
Pricing & Availability
Price per 1M tokens
$0.050
$0.020
Cost per million tokens processed
Release Date
2025-09-12
2023-09-15
Model release date
Accuracy Metrics
Avg nDCG@10
0.687
0.686
Normalized discounted cumulative gain at position 10
Performance Metrics
Avg Latency
3010ms
1891ms
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

MetricContextual AI Rerank v2 InstructBAAI/BGE Reranker v2 M3Description
Accuracy Metrics
nDCG@5
0.119
0.112
Ranking quality at top 5 results
nDCG@10
0.125
0.120
Ranking quality at top 10 results
Recall@5
0.123
0.105
% of relevant docs in top 5
Recall@10
0.135
0.130
% of relevant docs in top 10
Latency Metrics
Mean
2913ms
1309ms
Average response time
P50
2863ms
1316ms
50th percentile (median)
P90
3289ms
1744ms
90th percentile

PG

MetricContextual AI Rerank v2 InstructBAAI/BGE Reranker v2 M3Description
Accuracy Metrics
Latency Metrics
Mean
3195ms
2457ms
Average response time
P50
2951ms
1019ms
50th percentile (median)
P90
3781ms
1469ms
90th percentile

business reports

MetricContextual AI Rerank v2 InstructBAAI/BGE Reranker v2 M3Description
Accuracy Metrics
Latency Metrics
Mean
2883ms
1143ms
Average response time
P50
2686ms
1106ms
50th percentile (median)
P90
3161ms
1641ms
90th percentile

MSMARCO

MetricContextual AI Rerank v2 InstructBAAI/BGE Reranker v2 M3Description
Accuracy Metrics
nDCG@5
0.975
0.985
Ranking quality at top 5 results
nDCG@10
0.975
0.985
Ranking quality at top 10 results
Recall@5
1.000
1.000
% of relevant docs in top 5
Recall@10
1.000
1.000
% of relevant docs in top 10
Latency Metrics
Mean
2952ms
2176ms
Average response time
P50
2853ms
812ms
50th percentile (median)
P90
3398ms
980ms
90th percentile

DBPedia

MetricContextual AI Rerank v2 InstructBAAI/BGE Reranker v2 M3Description
Accuracy Metrics
nDCG@5
0.734
0.715
Ranking quality at top 5 results
nDCG@10
0.772
0.778
Ranking quality at top 10 results
Recall@5
0.067
0.063
% of relevant docs in top 5
Recall@10
0.108
0.106
% of relevant docs in top 10
Latency Metrics
Mean
2803ms
1332ms
Average response time
P50
2786ms
831ms
50th percentile (median)
P90
3138ms
1455ms
90th percentile

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