Voyage 3 Large vs Qwen3 Embedding 0.6B
Detailed comparison between Voyage 3 Large and Qwen3 Embedding 0.6B. See which embedding best meets your accuracy and performance needs.
Model Comparison
Voyage 3 Large takes the lead.
Both Voyage 3 Large and Qwen3 Embedding 0.6B are powerful embedding models designed to improve retrieval quality in RAG applications. However, their performance characteristics differ in important ways.
Why Voyage 3 Large:
- Voyage 3 Large has 50 higher ELO rating
- Voyage 3 Large delivers better accuracy (nDCG@10: 0.837 vs 0.751)
- Voyage 3 Large has a 15.3% higher win rate
Overview
Key metrics
ELO Rating
Overall ranking quality
Voyage 3 Large
Qwen3 Embedding 0.6B
Win Rate
Head-to-head performance
Voyage 3 Large
Qwen3 Embedding 0.6B
Accuracy (nDCG@10)
Ranking quality metric
Voyage 3 Large
Qwen3 Embedding 0.6B
Average Latency
Response time
Voyage 3 Large
Qwen3 Embedding 0.6B
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 | Voyage 3 Large | Qwen3 Embedding 0.6B | Description |
|---|---|---|---|
| Overall Performance | |||
| ELO Rating | 1528 | 1478 | Overall ranking quality based on pairwise comparisons |
| Win Rate | 52.6% | 37.3% | Percentage of comparisons won against other models |
| Pricing & Availability | |||
| Price per 1M tokens | $0.180 | $0.010 | Cost per million tokens processed |
| Dimensions | 1024 | 1024 | Vector embedding dimensions (lower is more efficient) |
| Release Date | 2025-01-07 | 2025-06-06 | Model release date |
| Accuracy Metrics | |||
| Avg nDCG@10 | 0.837 | 0.751 | Normalized discounted cumulative gain at position 10 |
| Performance Metrics | |||
| Avg Latency | 29ms | 22ms | 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 | Voyage 3 Large | Qwen3 Embedding 0.6B | Description |
|---|---|---|---|
| Accuracy Metrics | |||
| Latency Metrics | |||
| Mean | 16ms | 13ms | Average response time |
| P50 | 16ms | 13ms | 50th percentile (median) |
| P90 | 18ms | 15ms | 90th percentile |
business reports
| Metric | Voyage 3 Large | Qwen3 Embedding 0.6B | Description |
|---|---|---|---|
| Accuracy Metrics | |||
| Latency Metrics | |||
| Mean | 30ms | 22ms | Average response time |
| P50 | 30ms | 21ms | 50th percentile (median) |
| P90 | 35ms | 25ms | 90th percentile |
DBPedia
| Metric | Voyage 3 Large | Qwen3 Embedding 0.6B | Description |
|---|---|---|---|
| Accuracy Metrics | |||
| nDCG@5 | 0.675 | 0.549 | Ranking quality at top 5 results |
| nDCG@10 | 0.638 | 0.556 | Ranking quality at top 10 results |
| Recall@5 | 0.255 | 0.216 | % of relevant docs in top 5 |
| Recall@10 | 0.362 | 0.350 | % of relevant docs in top 10 |
| Latency Metrics | |||
| Mean | 19ms | 13ms | Average response time |
| P50 | 19ms | 13ms | 50th percentile (median) |
| P90 | 22ms | 15ms | 90th percentile |
FiQa
| Metric | Voyage 3 Large | Qwen3 Embedding 0.6B | Description |
|---|---|---|---|
| Accuracy Metrics | |||
| nDCG@5 | 0.753 | 0.620 | Ranking quality at top 5 results |
| nDCG@10 | 0.780 | 0.647 | Ranking quality at top 10 results |
| Recall@5 | 0.742 | 0.590 | % of relevant docs in top 5 |
| Recall@10 | 0.837 | 0.680 | % of relevant docs in top 10 |
| Latency Metrics | |||
| Mean | 16ms | 42ms | Average response time |
| P50 | 16ms | 41ms | 50th percentile (median) |
| P90 | 18ms | 49ms | 90th percentile |
SciFact
| Metric | Voyage 3 Large | Qwen3 Embedding 0.6B | Description |
|---|---|---|---|
| Accuracy Metrics | |||
| nDCG@5 | 0.796 | 0.666 | Ranking quality at top 5 results |
| nDCG@10 | 0.809 | 0.686 | Ranking quality at top 10 results |
| Recall@5 | 0.840 | 0.723 | % of relevant docs in top 5 |
| Recall@10 | 0.880 | 0.783 | % of relevant docs in top 10 |
| Latency Metrics | |||
| Mean | 18ms | 20ms | Average response time |
| P50 | 18ms | 19ms | 50th percentile (median) |
| P90 | 21ms | 23ms | 90th percentile |
MSMARCO
| Metric | Voyage 3 Large | Qwen3 Embedding 0.6B | Description |
|---|---|---|---|
| Accuracy Metrics | |||
| nDCG@5 | 0.997 | 0.997 | Ranking quality at top 5 results |
| nDCG@10 | 0.998 | 0.992 | Ranking quality at top 10 results |
| Recall@5 | 0.122 | 0.122 | % of relevant docs in top 5 |
| Recall@10 | 0.222 | 0.215 | % of relevant docs in top 10 |
| Latency Metrics | |||
| Mean | 15ms | 13ms | Average response time |
| P50 | 15ms | 13ms | 50th percentile (median) |
| P90 | 17ms | 15ms | 90th percentile |
NorQuAD
| Metric | Voyage 3 Large | Qwen3 Embedding 0.6B | Description |
|---|---|---|---|
| Accuracy Metrics | |||
| Latency Metrics | |||
| Mean | 24ms | 32ms | Average response time |
| P50 | 23ms | 31ms | 50th percentile (median) |
| P90 | 28ms | 36ms | 90th percentile |
ARCD
| Metric | Voyage 3 Large | Qwen3 Embedding 0.6B | Description |
|---|---|---|---|
| Accuracy Metrics | |||
| nDCG@5 | 0.953 | 0.865 | Ranking quality at top 5 results |
| nDCG@10 | 0.960 | 0.872 | Ranking quality at top 10 results |
| Recall@5 | 0.960 | 0.880 | % of relevant docs in top 5 |
| Recall@10 | 0.980 | 0.900 | % of relevant docs in top 10 |
| Latency Metrics | |||
| Mean | 97ms | 23ms | Average response time |
| P50 | 95ms | 23ms | 50th percentile (median) |
| P90 | 112ms | 27ms | 90th percentile |
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