Voyage AI Rerank 2.5 vs Zerank 1 Small

Detailed comparison between Voyage AI Rerank 2.5 and Zerank 1 Small. 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 Zerank 1 Small 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 delivers better accuracy (nDCG@10: 0.235 vs 0.202)

Overview

Key metrics

ELO Rating

Overall ranking quality

Voyage AI Rerank 2.5

1547

Zerank 1 Small

1541

Win Rate

Head-to-head performance

Voyage AI Rerank 2.5

58.7%

Zerank 1 Small

55.6%

Accuracy (nDCG@10)

Ranking quality metric

Voyage AI Rerank 2.5

0.235

Zerank 1 Small

0.202

Average Latency

Response time

Voyage AI Rerank 2.5

613ms

Zerank 1 Small

248ms

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 2.5Zerank 1 SmallDescription
Overall Performance
ELO Rating
1547
1541
Overall ranking quality based on pairwise comparisons
Win Rate
58.7%
55.6%
Percentage of comparisons won against other models
Pricing & Availability
Price per 1M tokens
$0.050
$0.025
Cost per million tokens processed
Release Date
2025-08-11
2025-07-10
Model release date
Accuracy Metrics
Avg nDCG@10
0.235
0.202
Normalized discounted cumulative gain at position 10
Performance Metrics
Avg Latency
613ms
248ms
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 2.5Zerank 1 SmallDescription
Accuracy Metrics
nDCG@5
0.571
0.498
Ranking quality at top 5 results
nDCG@10
0.584
0.552
Ranking quality at top 10 results
Recall@5
0.760
0.640
% of relevant docs in top 5
Recall@10
0.800
0.800
% of relevant docs in top 10
Latency Metrics
Mean
571ms
217ms
Average response time
P50
611ms
214ms
50th percentile (median)
P90
647ms
227ms
90th percentile

arguana

MetricVoyage AI Rerank 2.5Zerank 1 SmallDescription
Accuracy Metrics
nDCG@5
0.536
0.279
Ranking quality at top 5 results
nDCG@10
0.543
0.375
Ranking quality at top 10 results
Recall@5
0.960
0.520
% of relevant docs in top 5
Recall@10
0.980
0.820
% of relevant docs in top 10
Latency Metrics
Mean
675ms
256ms
Average response time
P50
612ms
254ms
50th percentile (median)
P90
820ms
280ms
90th percentile

FiQa

MetricVoyage AI Rerank 2.5Zerank 1 SmallDescription
Accuracy Metrics
nDCG@5
0.108
0.114
Ranking quality at top 5 results
nDCG@10
0.119
0.124
Ranking quality at top 10 results
Recall@5
0.098
0.098
% of relevant docs in top 5
Recall@10
0.128
0.125
% of relevant docs in top 10
Latency Metrics
Mean
627ms
248ms
Average response time
P50
611ms
244ms
50th percentile (median)
P90
814ms
266ms
90th percentile

business reports

MetricVoyage AI Rerank 2.5Zerank 1 SmallDescription
Latency Metrics
Mean
612ms
251ms
Average response time
P50
521ms
242ms
50th percentile (median)
P90
734ms
298ms
90th percentile

PG

MetricVoyage AI Rerank 2.5Zerank 1 SmallDescription
Latency Metrics
Mean
612ms
287ms
Average response time
P50
612ms
274ms
50th percentile (median)
P90
791ms
345ms
90th percentile

DBPedia

MetricVoyage AI Rerank 2.5Zerank 1 SmallDescription
Accuracy Metrics
nDCG@5
0.163
0.160
Ranking quality at top 5 results
nDCG@10
0.164
0.160
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
226ms
Average response time
P50
613ms
223ms
50th percentile (median)
P90
632ms
241ms
90th percentile

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