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 119 higher ELO rating
  • Voyage AI Rerank 2.5 has a 12.2% higher win rate

Overview

Key metrics

ELO Rating

Overall ranking quality

Voyage AI Rerank 2.5

1629

Voyage AI Rerank 2.5 Lite

1510

Win Rate

Head-to-head performance

Voyage AI Rerank 2.5

62.6%

Voyage AI Rerank 2.5 Lite

50.4%

Accuracy (nDCG@10)

Ranking quality metric

Voyage AI Rerank 2.5

0.680

Voyage AI Rerank 2.5 Lite

0.679

Average Latency

Response time

Voyage AI Rerank 2.5

610ms

Voyage AI Rerank 2.5 Lite

607ms

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
1629
1510
Overall ranking quality based on pairwise comparisons
Win Rate
62.6%
50.4%
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
0.680
0.679
Normalized discounted cumulative gain at position 10
Performance Metrics
Avg Latency
610ms
607ms
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 2.5Voyage 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
540ms
686ms
Average response time
P50
564ms
611ms
50th percentile (median)
P90
626ms
829ms
90th percentile

PG

MetricVoyage AI Rerank 2.5Voyage AI Rerank 2.5 LiteDescription
Accuracy Metrics
Latency Metrics
Mean
588ms
637ms
Average response time
P50
611ms
614ms
50th percentile (median)
P90
746ms
817ms
90th percentile

business reports

MetricVoyage AI Rerank 2.5Voyage AI Rerank 2.5 LiteDescription
Accuracy Metrics
Latency Metrics
Mean
714ms
580ms
Average response time
P50
617ms
607ms
50th percentile (median)
P90
834ms
816ms
90th percentile

MSMARCO

MetricVoyage AI Rerank 2.5Voyage AI Rerank 2.5 LiteDescription
Accuracy Metrics
nDCG@5
0.971
0.981
Ranking quality at top 5 results
nDCG@10
0.974
0.983
Ranking quality at top 10 results
Recall@5
0.993
0.993
% of relevant docs in top 5
Recall@10
1.000
1.000
% of relevant docs in top 10
Latency Metrics
Mean
583ms
542ms
Average response time
P50
611ms
611ms
50th percentile (median)
P90
630ms
635ms
90th percentile

DBPedia

MetricVoyage AI Rerank 2.5Voyage AI Rerank 2.5 LiteDescription
Accuracy Metrics
nDCG@5
0.657
0.692
Ranking quality at top 5 results
nDCG@10
0.744
0.763
Ranking quality at top 10 results
Recall@5
0.062
0.064
% of relevant docs in top 5
Recall@10
0.110
0.111
% of relevant docs in top 10
Latency Metrics
Mean
571ms
555ms
Average response time
P50
610ms
605ms
50th percentile (median)
P90
734ms
664ms
90th percentile

Explore More

Compare more rerankers

See how all reranking models stack up. Compare Cohere, Jina AI, Voyage, ZeRank, and more. View comprehensive benchmarks, compare performance metrics, and find the perfect reranker for your RAG application.