Voyage AI Rerank 2.5 vs Cohere Rerank 3.5

Detailed comparison between Voyage AI Rerank 2.5 and Cohere Rerank 3.5. 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 and Cohere Rerank 3.5 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 226 higher ELO rating
  • Cohere Rerank 3.5 is 118ms faster on average
  • Voyage AI Rerank 2.5 has a 24.8% higher win rate

Overview

Key metrics

ELO Rating

Overall ranking quality

Voyage AI Rerank 2.5

1629

Cohere Rerank 3.5

1403

Win Rate

Head-to-head performance

Voyage AI Rerank 2.5

62.6%

Cohere Rerank 3.5

37.8%

Accuracy (nDCG@10)

Ranking quality metric

Voyage AI Rerank 2.5

0.680

Cohere Rerank 3.5

0.689

Average Latency

Response time

Voyage AI Rerank 2.5

610ms

Cohere Rerank 3.5

492ms

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 2.5Cohere Rerank 3.5Description
Overall Performance
ELO Rating
1629
1403
Overall ranking quality based on pairwise comparisons
Win Rate
62.6%
37.8%
Percentage of comparisons won against other models
Pricing & Availability
Price per 1M tokens
$0.050
$0.050
Cost per million tokens processed
Release Date
2025-08-11
2024-12-02
Model release date
Accuracy Metrics
Avg nDCG@10
0.680
0.689
Normalized discounted cumulative gain at position 10
Performance Metrics
Avg Latency
610ms
492ms
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 2.5Cohere Rerank 3.5Description
Accuracy Metrics
nDCG@5
0.108
0.121
Ranking quality at top 5 results
nDCG@10
0.119
0.127
Ranking quality at top 10 results
Recall@5
0.098
0.118
% of relevant docs in top 5
Recall@10
0.128
0.130
% of relevant docs in top 10
Latency Metrics
Mean
540ms
589ms
Average response time
P50
564ms
603ms
50th percentile (median)
P90
626ms
913ms
90th percentile

SciFact

MetricVoyage AI Rerank 2.5Cohere Rerank 3.5Description
Accuracy Metrics
nDCG@5
0.865
0.868
Ranking quality at top 5 results
nDCG@10
0.882
0.878
Ranking quality at top 10 results
Recall@5
0.892
0.887
% of relevant docs in top 5
Recall@10
0.940
0.906
% of relevant docs in top 10
Latency Metrics
Mean
667ms
638ms
Average response time
P50
621ms
612ms
50th percentile (median)
P90
819ms
819ms
90th percentile

PG

MetricVoyage AI Rerank 2.5Cohere Rerank 3.5Description
Accuracy Metrics
Latency Metrics
Mean
588ms
661ms
Average response time
P50
611ms
613ms
50th percentile (median)
P90
746ms
792ms
90th percentile

business reports

MetricVoyage AI Rerank 2.5Cohere Rerank 3.5Description
Accuracy Metrics
Latency Metrics
Mean
714ms
395ms
Average response time
P50
617ms
324ms
50th percentile (median)
P90
834ms
570ms
90th percentile

MSMARCO

MetricVoyage AI Rerank 2.5Cohere Rerank 3.5Description
Accuracy Metrics
nDCG@5
0.971
0.990
Ranking quality at top 5 results
nDCG@10
0.974
0.990
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
317ms
Average response time
P50
611ms
299ms
50th percentile (median)
P90
630ms
320ms
90th percentile

DBPedia

MetricVoyage AI Rerank 2.5Cohere Rerank 3.5Description
Accuracy Metrics
nDCG@5
0.657
0.691
Ranking quality at top 5 results
nDCG@10
0.744
0.760
Ranking quality at top 10 results
Recall@5
0.062
0.063
% of relevant docs in top 5
Recall@10
0.110
0.107
% of relevant docs in top 10
Latency Metrics
Mean
571ms
355ms
Average response time
P50
610ms
305ms
50th percentile (median)
P90
734ms
523ms
90th percentile

Explore More

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