Voyage AI Rerank 2.5 vs Voyage AI Rerank 2.5 Lite

Detailed comparison between Voyage AI Rerank 2.5 and Voyage AI Rerank 2.5 Lite. 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 Voyage AI Rerank 2.5 Lite 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 19 higher ELO rating
  • Voyage AI Rerank 2.5 has a 5.6% higher win rate

Overview

Key metrics

ELO Rating

Overall ranking quality

Voyage AI Rerank 2.5

1547

Voyage AI Rerank 2.5 Lite

1528

Win Rate

Head-to-head performance

Voyage AI Rerank 2.5

58.7%

Voyage AI Rerank 2.5 Lite

53.1%

Accuracy (nDCG@10)

Ranking quality metric

Voyage AI Rerank 2.5

0.235

Voyage AI Rerank 2.5 Lite

0.226

Average Latency

Response time

Voyage AI Rerank 2.5

613ms

Voyage AI Rerank 2.5 Lite

616ms

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 2.5Voyage AI Rerank 2.5 LiteDescription
Overall Performance
ELO Rating
1547
1528
Overall ranking quality based on pairwise comparisons
Win Rate
58.7%
53.1%
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
2025-08-11
Model release date
Accuracy Metrics
Avg nDCG@10
0.235
0.226
Normalized discounted cumulative gain at position 10
Performance Metrics
Avg Latency
613ms
616ms
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

MetricVoyage AI Rerank 2.5Voyage AI Rerank 2.5 LiteDescription
Accuracy Metrics
nDCG@5
0.571
0.577
Ranking quality at top 5 results
nDCG@10
0.584
0.585
Ranking quality at top 10 results
Recall@5
0.760
0.780
% of relevant docs in top 5
Recall@10
0.800
0.800
% of relevant docs in top 10
Latency Metrics
Mean
571ms
563ms
Average response time
P50
611ms
610ms
50th percentile (median)
P90
647ms
619ms
90th percentile

arguana

MetricVoyage AI Rerank 2.5Voyage AI Rerank 2.5 LiteDescription
Accuracy Metrics
nDCG@5
0.536
0.436
Ranking quality at top 5 results
nDCG@10
0.543
0.496
Ranking quality at top 10 results
Recall@5
0.960
0.800
% of relevant docs in top 5
Recall@10
0.980
0.980
% of relevant docs in top 10
Latency Metrics
Mean
675ms
636ms
Average response time
P50
612ms
613ms
50th percentile (median)
P90
820ms
819ms
90th percentile

FiQa

MetricVoyage AI Rerank 2.5Voyage AI Rerank 2.5 LiteDescription
Accuracy Metrics
nDCG@5
0.108
0.111
Ranking quality at top 5 results
nDCG@10
0.119
0.122
Ranking quality at top 10 results
Recall@5
0.098
0.103
% of relevant docs in top 5
Recall@10
0.128
0.135
% of relevant docs in top 10
Latency Metrics
Mean
627ms
639ms
Average response time
P50
611ms
613ms
50th percentile (median)
P90
814ms
819ms
90th percentile

business reports

MetricVoyage AI Rerank 2.5Voyage AI Rerank 2.5 LiteDescription
Latency Metrics
Mean
612ms
599ms
Average response time
P50
521ms
611ms
50th percentile (median)
P90
734ms
727ms
90th percentile

PG

MetricVoyage AI Rerank 2.5Voyage AI Rerank 2.5 LiteDescription
Latency Metrics
Mean
612ms
670ms
Average response time
P50
612ms
615ms
50th percentile (median)
P90
791ms
818ms
90th percentile

DBPedia

MetricVoyage AI Rerank 2.5Voyage AI Rerank 2.5 LiteDescription
Accuracy Metrics
nDCG@5
0.163
0.146
Ranking quality at top 5 results
nDCG@10
0.164
0.156
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
583ms
587ms
Average response time
P50
613ms
612ms
50th percentile (median)
P90
632ms
656ms
90th percentile

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