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 95 higher ELO rating
  • Voyage AI Rerank 2.5 delivers better accuracy (nDCG@10: 0.235 vs 0.200)
  • Voyage AI Rerank 2.5 has a 17.7% higher win rate

Overview

Key metrics

ELO Rating

Overall ranking quality

Voyage AI Rerank 2.5

1547

Cohere Rerank 3.5

1452

Win Rate

Head-to-head performance

Voyage AI Rerank 2.5

58.7%

Cohere Rerank 3.5

41.0%

Accuracy (nDCG@10)

Ranking quality metric

Voyage AI Rerank 2.5

0.235

Cohere Rerank 3.5

0.200

Average Latency

Response time

Voyage AI Rerank 2.5

613ms

Cohere Rerank 3.5

392ms

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
1547
1452
Overall ranking quality based on pairwise comparisons
Win Rate
58.7%
41.0%
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
0.235
0.200
Normalized discounted cumulative gain at position 10
Performance Metrics
Avg Latency
613ms
392ms
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 2.5Cohere Rerank 3.5Description
Accuracy Metrics
nDCG@5
0.571
0.522
Ranking quality at top 5 results
nDCG@10
0.584
0.553
Ranking quality at top 10 results
Recall@5
0.760
0.700
% of relevant docs in top 5
Recall@10
0.800
0.800
% of relevant docs in top 10
Latency Metrics
Mean
571ms
339ms
Average response time
P50
611ms
285ms
50th percentile (median)
P90
647ms
304ms
90th percentile

arguana

MetricVoyage AI Rerank 2.5Cohere Rerank 3.5Description
Accuracy Metrics
nDCG@5
0.536
0.267
Ranking quality at top 5 results
nDCG@10
0.543
0.355
Ranking quality at top 10 results
Recall@5
0.960
0.520
% of relevant docs in top 5
Recall@10
0.980
0.800
% of relevant docs in top 10
Latency Metrics
Mean
675ms
570ms
Average response time
P50
612ms
373ms
50th percentile (median)
P90
820ms
617ms
90th percentile

FiQa

MetricVoyage AI Rerank 2.5Cohere Rerank 3.5Description
Accuracy Metrics
nDCG@5
0.108
0.124
Ranking quality at top 5 results
nDCG@10
0.119
0.128
Ranking quality at top 10 results
Recall@5
0.098
0.123
% of relevant docs in top 5
Recall@10
0.128
0.130
% of relevant docs in top 10
Latency Metrics
Mean
627ms
364ms
Average response time
P50
611ms
315ms
50th percentile (median)
P90
814ms
401ms
90th percentile

business reports

MetricVoyage AI Rerank 2.5Cohere Rerank 3.5Description
Latency Metrics
Mean
612ms
334ms
Average response time
P50
521ms
293ms
50th percentile (median)
P90
734ms
503ms
90th percentile

PG

MetricVoyage AI Rerank 2.5Cohere Rerank 3.5Description
Latency Metrics
Mean
612ms
458ms
Average response time
P50
612ms
360ms
50th percentile (median)
P90
791ms
615ms
90th percentile

DBPedia

MetricVoyage AI Rerank 2.5Cohere Rerank 3.5Description
Accuracy Metrics
nDCG@5
0.163
0.156
Ranking quality at top 5 results
nDCG@10
0.164
0.166
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
286ms
Average response time
P50
613ms
279ms
50th percentile (median)
P90
632ms
290ms
90th percentile

Explore More

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