Voyage AI Rerank 2.5 Lite vs Cohere Rerank 4 Fast

Detailed comparison between Voyage AI Rerank 2.5 Lite and Cohere Rerank 4 Fast. See which reranker best meets your accuracy and performance needs.

Model Comparison

Voyage AI Rerank 2.5 Lite takes the lead.

Both Voyage AI Rerank 2.5 Lite 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 Lite:

  • Voyage AI Rerank 2.5 Lite has 22 higher ELO rating
  • Voyage AI Rerank 2.5 Lite delivers better accuracy (nDCG@10: 0.103 vs 0.000)

Overview

Key metrics

ELO Rating

Overall ranking quality

Voyage AI Rerank 2.5 Lite

1528

Cohere Rerank 4 Fast

1506

Win Rate

Head-to-head performance

Voyage AI Rerank 2.5 Lite

53.1%

Cohere Rerank 4 Fast

49.3%

Accuracy (nDCG@10)

Ranking quality metric

Voyage AI Rerank 2.5 Lite

0.103

Cohere Rerank 4 Fast

N/A

Average Latency

Response time

Voyage AI Rerank 2.5 Lite

616ms

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 2.5 LiteCohere Rerank 4 FastDescription
Overall Performance
ELO Rating
1528
1506
Overall ranking quality based on pairwise comparisons
Win Rate
53.1%
49.3%
Percentage of comparisons won against other models
Pricing & Availability
Price per 1M tokens
$0.020
$0.050
Cost per million tokens processed
Release Date
2025-08-11
2025-12-11
Model release date
Accuracy Metrics
Avg nDCG@10
0.103
N/A
Normalized discounted cumulative gain at position 10
Performance Metrics
Avg Latency
616ms
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 2.5 LiteCohere Rerank 4 FastDescription
Latency Metrics
Mean
563ms
403ms
Average response time
P50
610ms
382ms
50th percentile (median)
P90
619ms
486ms
90th percentile

arguana

MetricVoyage AI Rerank 2.5 LiteCohere Rerank 4 FastDescription
Latency Metrics
Mean
636ms
574ms
Average response time
P50
613ms
562ms
50th percentile (median)
P90
819ms
728ms
90th percentile

FiQa

MetricVoyage AI Rerank 2.5 LiteCohere Rerank 4 FastDescription
Latency Metrics
Mean
639ms
485ms
Average response time
P50
613ms
459ms
50th percentile (median)
P90
819ms
624ms
90th percentile

business reports

MetricVoyage AI Rerank 2.5 LiteCohere Rerank 4 FastDescription
Latency Metrics
Mean
599ms
428ms
Average response time
P50
611ms
408ms
50th percentile (median)
P90
727ms
550ms
90th percentile

PG

MetricVoyage AI Rerank 2.5 LiteCohere Rerank 4 FastDescription
Latency Metrics
Mean
670ms
492ms
Average response time
P50
615ms
439ms
50th percentile (median)
P90
818ms
650ms
90th percentile

DBPedia

MetricVoyage AI Rerank 2.5 LiteCohere Rerank 4 FastDescription
Latency Metrics
Mean
587ms
297ms
Average response time
P50
612ms
297ms
50th percentile (median)
P90
656ms
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.