Voyage AI Rerank 2.5 vs BAAI/BGE Reranker v2 M3

Detailed comparison between Voyage AI Rerank 2.5 and BAAI/BGE Reranker v2 M3. See which reranker best meets your accuracy and performance needs.

Model Comparison

Voyage AI Rerank 2.5 takes the lead.

Both Voyage AI Rerank 2.5 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 Voyage AI Rerank 2.5:

  • Voyage AI Rerank 2.5 has 161 higher ELO rating
  • Voyage AI Rerank 2.5 is 1280ms faster on average
  • Voyage AI Rerank 2.5 has a 29.6% higher win rate

Overview

Key metrics

ELO Rating

Overall ranking quality

Voyage AI Rerank 2.5

1629

BAAI/BGE Reranker v2 M3

1468

Win Rate

Head-to-head performance

Voyage AI Rerank 2.5

62.6%

BAAI/BGE Reranker v2 M3

33.0%

Accuracy (nDCG@10)

Ranking quality metric

Voyage AI Rerank 2.5

0.680

BAAI/BGE Reranker v2 M3

0.686

Average Latency

Response time

Voyage AI Rerank 2.5

610ms

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

MetricVoyage AI Rerank 2.5BAAI/BGE Reranker v2 M3Description
Overall Performance
ELO Rating
1629
1468
Overall ranking quality based on pairwise comparisons
Win Rate
62.6%
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
2025-08-11
2023-09-15
Model release date
Accuracy Metrics
Avg nDCG@10
0.680
0.686
Normalized discounted cumulative gain at position 10
Performance Metrics
Avg Latency
610ms
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

MetricVoyage AI Rerank 2.5BAAI/BGE Reranker v2 M3Description
Accuracy Metrics
nDCG@5
0.108
0.112
Ranking quality at top 5 results
nDCG@10
0.119
0.120
Ranking quality at top 10 results
Recall@5
0.098
0.105
% of relevant docs in top 5
Recall@10
0.128
0.130
% of relevant docs in top 10
Latency Metrics
Mean
540ms
1309ms
Average response time
P50
564ms
1316ms
50th percentile (median)
P90
626ms
1744ms
90th percentile

PG

MetricVoyage AI Rerank 2.5BAAI/BGE Reranker v2 M3Description
Accuracy Metrics
Latency Metrics
Mean
588ms
2457ms
Average response time
P50
611ms
1019ms
50th percentile (median)
P90
746ms
1469ms
90th percentile

business reports

MetricVoyage AI Rerank 2.5BAAI/BGE Reranker v2 M3Description
Accuracy Metrics
Latency Metrics
Mean
714ms
1143ms
Average response time
P50
617ms
1106ms
50th percentile (median)
P90
834ms
1641ms
90th percentile

MSMARCO

MetricVoyage AI Rerank 2.5BAAI/BGE Reranker v2 M3Description
Accuracy Metrics
nDCG@5
0.971
0.985
Ranking quality at top 5 results
nDCG@10
0.974
0.985
Ranking quality at top 10 results
Recall@5
0.993
1.000
% of relevant docs in top 5
Recall@10
1.000
1.000
% of relevant docs in top 10
Latency Metrics
Mean
583ms
2176ms
Average response time
P50
611ms
812ms
50th percentile (median)
P90
630ms
980ms
90th percentile

DBPedia

MetricVoyage AI Rerank 2.5BAAI/BGE Reranker v2 M3Description
Accuracy Metrics
nDCG@5
0.657
0.715
Ranking quality at top 5 results
nDCG@10
0.744
0.778
Ranking quality at top 10 results
Recall@5
0.062
0.063
% of relevant docs in top 5
Recall@10
0.110
0.106
% of relevant docs in top 10
Latency Metrics
Mean
571ms
1332ms
Average response time
P50
610ms
831ms
50th percentile (median)
P90
734ms
1455ms
90th percentile

Explore More

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