Voyage AI Rerank 2.5 vs Cohere Rerank 4 Fast

Detailed comparison between Voyage AI Rerank 2.5 and Cohere Rerank 4 Fast. 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 4 Fast 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 41 higher ELO rating
  • Voyage AI Rerank 2.5 delivers better accuracy (nDCG@10: 0.110 vs 0.000)
  • Voyage AI Rerank 2.5 has a 9.4% higher win rate

Overview

Key metrics

ELO Rating

Overall ranking quality

Voyage AI Rerank 2.5

1547

Cohere Rerank 4 Fast

1506

Win Rate

Head-to-head performance

Voyage AI Rerank 2.5

58.7%

Cohere Rerank 4 Fast

49.3%

Accuracy (nDCG@10)

Ranking quality metric

Voyage AI Rerank 2.5

0.110

Cohere Rerank 4 Fast

N/A

Average Latency

Response time

Voyage AI Rerank 2.5

613ms

Cohere Rerank 4 Fast

447ms

Visual Performance Analysis

Performance

ELO Rating Comparison

Win/Loss/Tie Breakdown

Latency Distribution (ms)

Breakdown

How the models stack up

MetricVoyage AI Rerank 2.5Cohere Rerank 4 FastDescription
Overall Performance
ELO Rating
1547
1506
Overall ranking quality based on pairwise comparisons
Win Rate
58.7%
49.3%
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
2025-12-11
Model release date
Accuracy Metrics
Avg nDCG@10
0.110
N/A
Normalized discounted cumulative gain at position 10
Performance Metrics
Avg Latency
613ms
447ms
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 4 FastDescription
Latency Metrics
Mean
571ms
403ms
Average response time
P50
611ms
382ms
50th percentile (median)
P90
647ms
486ms
90th percentile

arguana

MetricVoyage AI Rerank 2.5Cohere Rerank 4 FastDescription
Latency Metrics
Mean
675ms
574ms
Average response time
P50
612ms
562ms
50th percentile (median)
P90
820ms
728ms
90th percentile

FiQa

MetricVoyage AI Rerank 2.5Cohere Rerank 4 FastDescription
Latency Metrics
Mean
627ms
485ms
Average response time
P50
611ms
459ms
50th percentile (median)
P90
814ms
624ms
90th percentile

business reports

MetricVoyage AI Rerank 2.5Cohere Rerank 4 FastDescription
Latency Metrics
Mean
612ms
428ms
Average response time
P50
521ms
408ms
50th percentile (median)
P90
734ms
550ms
90th percentile

PG

MetricVoyage AI Rerank 2.5Cohere Rerank 4 FastDescription
Latency Metrics
Mean
612ms
492ms
Average response time
P50
612ms
439ms
50th percentile (median)
P90
791ms
650ms
90th percentile

DBPedia

MetricVoyage AI Rerank 2.5Cohere Rerank 4 FastDescription
Latency Metrics
Mean
583ms
297ms
Average response time
P50
613ms
297ms
50th percentile (median)
P90
632ms
309ms
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.