Voyage AI Rerank 2.5 Lite vs Voyage AI Rerank 2.5

Detailed comparison between Voyage AI Rerank 2.5 Lite and Voyage AI Rerank 2.5. 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 Lite and Voyage AI Rerank 2.5 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 Lite

1528

Voyage AI Rerank 2.5

1547

Win Rate

Head-to-head performance

Voyage AI Rerank 2.5 Lite

53.1%

Voyage AI Rerank 2.5

58.7%

Accuracy (nDCG@10)

Ranking quality metric

Voyage AI Rerank 2.5 Lite

0.226

Voyage AI Rerank 2.5

0.235

Average Latency

Response time

Voyage AI Rerank 2.5 Lite

616ms

Voyage AI Rerank 2.5

613ms

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 2.5 LiteVoyage AI Rerank 2.5Description
Overall Performance
ELO Rating
1528
1547
Overall ranking quality based on pairwise comparisons
Win Rate
53.1%
58.7%
Percentage of comparisons won against other models
Pricing & Availability
Price per 1M tokens
$0.020
$0.050
Cost per million tokens processed
Release Date
2025-08-11
2025-08-11
Model release date
Accuracy Metrics
Avg nDCG@10
0.226
0.235
Normalized discounted cumulative gain at position 10
Performance Metrics
Avg Latency
616ms
613ms
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 2.5 LiteVoyage AI Rerank 2.5Description
Accuracy Metrics
nDCG@5
0.577
0.571
Ranking quality at top 5 results
nDCG@10
0.585
0.584
Ranking quality at top 10 results
Recall@5
0.780
0.760
% of relevant docs in top 5
Recall@10
0.800
0.800
% of relevant docs in top 10
Latency Metrics
Mean
563ms
571ms
Average response time
P50
610ms
611ms
50th percentile (median)
P90
619ms
647ms
90th percentile

arguana

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

FiQa

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

business reports

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

PG

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

DBPedia

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

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