Voyage 3.5 vs Voyage 4

Detailed comparison between Voyage 3.5 and Voyage 4. See which embedding best meets your accuracy and performance needs.

Model Comparison

Voyage 4 takes the lead.

Both Voyage 3.5 and Voyage 4 are powerful embedding models designed to improve retrieval quality in RAG applications. However, their performance characteristics differ in important ways.

Why Voyage 4:

  • Voyage 4 has 91 higher ELO rating
  • Voyage 4 delivers better accuracy (nDCG@10: 0.859 vs 0.816)
  • Voyage 4 has a 12.9% higher win rate

Overview

Key metrics

ELO Rating

Overall ranking quality

Voyage 3.5

1515

Voyage 4

1606

Win Rate

Head-to-head performance

Voyage 3.5

48.8%

Voyage 4

61.7%

Accuracy (nDCG@10)

Ranking quality metric

Voyage 3.5

0.816

Voyage 4

0.859

Average Latency

Response time

Voyage 3.5

13ms

Voyage 4

17ms

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 3.5Voyage 4Description
Overall Performance
ELO Rating
1515
1606
Overall ranking quality based on pairwise comparisons
Win Rate
48.8%
61.7%
Percentage of comparisons won against other models
Pricing & Availability
Price per 1M tokens
$0.060
$0.060
Cost per million tokens processed
Dimensions
1024
1024
Vector embedding dimensions (lower is more efficient)
Release Date
2025-05-20
2026-01-15
Model release date
Accuracy Metrics
Avg nDCG@10
0.816
0.859
Normalized discounted cumulative gain at position 10
Performance Metrics
Avg Latency
13ms
17ms
Average response time across all datasets

Dataset Performance

By field

Comprehensive comparison of accuracy metrics (nDCG, Recall) and latency percentiles for each benchmark dataset.

PG

MetricVoyage 3.5Voyage 4Description
Accuracy Metrics
Latency Metrics
Mean
10ms
17ms
Average response time
P50
10ms
17ms
50th percentile (median)
P90
12ms
19ms
90th percentile

business reports

MetricVoyage 3.5Voyage 4Description
Accuracy Metrics
Latency Metrics
Mean
16ms
15ms
Average response time
P50
15ms
15ms
50th percentile (median)
P90
18ms
17ms
90th percentile

DBPedia

MetricVoyage 3.5Voyage 4Description
Accuracy Metrics
nDCG@5
0.655
0.815
Ranking quality at top 5 results
nDCG@10
0.637
0.811
Ranking quality at top 10 results
Recall@5
0.246
0.062
% of relevant docs in top 5
Recall@10
0.366
0.122
% of relevant docs in top 10
Latency Metrics
Mean
6ms
13ms
Average response time
P50
6ms
13ms
50th percentile (median)
P90
7ms
15ms
90th percentile

FiQa

MetricVoyage 3.5Voyage 4Description
Accuracy Metrics
nDCG@5
0.721
0.873
Ranking quality at top 5 results
nDCG@10
0.741
0.859
Ranking quality at top 10 results
Recall@5
0.715
0.763
% of relevant docs in top 5
Recall@10
0.793
0.840
% of relevant docs in top 10
Latency Metrics
Mean
9ms
14ms
Average response time
P50
9ms
14ms
50th percentile (median)
P90
11ms
15ms
90th percentile

SciFact

MetricVoyage 3.5Voyage 4Description
Accuracy Metrics
nDCG@5
0.723
0.737
Ranking quality at top 5 results
nDCG@10
0.751
0.758
Ranking quality at top 10 results
Recall@5
0.778
0.804
% of relevant docs in top 5
Recall@10
0.853
0.878
% of relevant docs in top 10
Latency Metrics
Mean
14ms
16ms
Average response time
P50
13ms
16ms
50th percentile (median)
P90
16ms
18ms
90th percentile

MSMARCO

MetricVoyage 3.5Voyage 4Description
Accuracy Metrics
nDCG@5
1.000
0.941
Ranking quality at top 5 results
nDCG@10
1.000
0.931
Ranking quality at top 10 results
Recall@5
0.123
0.123
% of relevant docs in top 5
Recall@10
0.224
0.221
% of relevant docs in top 10
Latency Metrics
Mean
10ms
13ms
Average response time
P50
9ms
13ms
50th percentile (median)
P90
11ms
14ms
90th percentile

ARCD

MetricVoyage 3.5Voyage 4Description
Accuracy Metrics
nDCG@5
0.950
0.936
Ranking quality at top 5 results
nDCG@10
0.950
0.936
Ranking quality at top 10 results
Recall@5
0.980
1.000
% of relevant docs in top 5
Recall@10
0.980
1.000
% of relevant docs in top 10
Latency Metrics
Mean
23ms
28ms
Average response time
P50
23ms
28ms
50th percentile (median)
P90
27ms
30ms
90th percentile

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