Jina Embeddings v3 vs Voyage 4
Detailed comparison between Jina Embeddings v3 and Voyage 4. See which embedding best meets your accuracy and performance needs.
Model Comparison
Voyage 4 takes the lead.
Both Jina Embeddings v3 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 115 higher ELO rating
- Voyage 4 delivers better accuracy (nDCG@10: 0.859 vs 0.766)
- Voyage 4 is 68ms faster on average
- Voyage 4 has a 21.4% higher win rate
Overview
Key metrics
ELO Rating
Overall ranking quality
Jina Embeddings v3
Voyage 4
Win Rate
Head-to-head performance
Jina Embeddings v3
Voyage 4
Accuracy (nDCG@10)
Ranking quality metric
Jina Embeddings v3
Voyage 4
Average Latency
Response time
Jina Embeddings v3
Voyage 4
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
| Metric | Jina Embeddings v3 | Voyage 4 | Description |
|---|---|---|---|
| Overall Performance | |||
| ELO Rating | 1491 | 1606 | Overall ranking quality based on pairwise comparisons |
| Win Rate | 40.3% | 61.7% | Percentage of comparisons won against other models |
| Pricing & Availability | |||
| Price per 1M tokens | $0.045 | $0.060 | Cost per million tokens processed |
| Dimensions | 1024 | 1024 | Vector embedding dimensions (lower is more efficient) |
| Release Date | 2024-09-18 | 2026-01-15 | Model release date |
| Accuracy Metrics | |||
| Avg nDCG@10 | 0.766 | 0.859 | Normalized discounted cumulative gain at position 10 |
| Performance Metrics | |||
| Avg Latency | 85ms | 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
| Metric | Jina Embeddings v3 | Voyage 4 | Description |
|---|---|---|---|
| Accuracy Metrics | |||
| Latency Metrics | |||
| Mean | 26ms | 17ms | Average response time |
| P50 | 26ms | 17ms | 50th percentile (median) |
| P90 | 30ms | 19ms | 90th percentile |
business reports
| Metric | Jina Embeddings v3 | Voyage 4 | Description |
|---|---|---|---|
| Accuracy Metrics | |||
| Latency Metrics | |||
| Mean | 25ms | 15ms | Average response time |
| P50 | 25ms | 15ms | 50th percentile (median) |
| P90 | 29ms | 17ms | 90th percentile |
DBPedia
| Metric | Jina Embeddings v3 | Voyage 4 | Description |
|---|---|---|---|
| Accuracy Metrics | |||
| nDCG@5 | 0.616 | 0.815 | Ranking quality at top 5 results |
| nDCG@10 | 0.591 | 0.811 | Ranking quality at top 10 results |
| Recall@5 | 0.225 | 0.062 | % of relevant docs in top 5 |
| Recall@10 | 0.340 | 0.122 | % of relevant docs in top 10 |
| Latency Metrics | |||
| Mean | 39ms | 13ms | Average response time |
| P50 | 38ms | 13ms | 50th percentile (median) |
| P90 | 45ms | 15ms | 90th percentile |
FiQa
| Metric | Jina Embeddings v3 | Voyage 4 | Description |
|---|---|---|---|
| Accuracy Metrics | |||
| nDCG@5 | 0.645 | 0.873 | Ranking quality at top 5 results |
| nDCG@10 | 0.679 | 0.859 | Ranking quality at top 10 results |
| Recall@5 | 0.633 | 0.763 | % of relevant docs in top 5 |
| Recall@10 | 0.741 | 0.840 | % of relevant docs in top 10 |
| Latency Metrics | |||
| Mean | 89ms | 14ms | Average response time |
| P50 | 87ms | 14ms | 50th percentile (median) |
| P90 | 102ms | 15ms | 90th percentile |
SciFact
| Metric | Jina Embeddings v3 | Voyage 4 | Description |
|---|---|---|---|
| Accuracy Metrics | |||
| nDCG@5 | 0.622 | 0.737 | Ranking quality at top 5 results |
| nDCG@10 | 0.661 | 0.758 | Ranking quality at top 10 results |
| Recall@5 | 0.695 | 0.804 | % of relevant docs in top 5 |
| Recall@10 | 0.800 | 0.878 | % of relevant docs in top 10 |
| Latency Metrics | |||
| Mean | 53ms | 16ms | Average response time |
| P50 | 52ms | 16ms | 50th percentile (median) |
| P90 | 61ms | 18ms | 90th percentile |
MSMARCO
| Metric | Jina Embeddings v3 | Voyage 4 | Description |
|---|---|---|---|
| Accuracy Metrics | |||
| nDCG@5 | 1.000 | 0.941 | Ranking quality at top 5 results |
| nDCG@10 | 0.997 | 0.931 | Ranking quality at top 10 results |
| Recall@5 | 0.123 | 0.123 | % of relevant docs in top 5 |
| Recall@10 | 0.220 | 0.221 | % of relevant docs in top 10 |
| Latency Metrics | |||
| Mean | 92ms | 13ms | Average response time |
| P50 | 90ms | 13ms | 50th percentile (median) |
| P90 | 106ms | 14ms | 90th percentile |
ARCD
| Metric | Jina Embeddings v3 | Voyage 4 | Description |
|---|---|---|---|
| Accuracy Metrics | |||
| nDCG@5 | 0.888 | 0.936 | Ranking quality at top 5 results |
| nDCG@10 | 0.900 | 0.936 | Ranking quality at top 10 results |
| Recall@5 | 0.920 | 1.000 | % of relevant docs in top 5 |
| Recall@10 | 0.960 | 1.000 | % of relevant docs in top 10 |
| Latency Metrics | |||
| Mean | 236ms | 28ms | Average response time |
| P50 | 232ms | 28ms | 50th percentile (median) |
| P90 | 272ms | 30ms | 90th percentile |
Explore More
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