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 is 6585ms faster on average
- 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 |
| 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 | 63477ms | 70062ms | 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 | 93447ms | 77697ms | Average response time |
| P50 | 91578ms | 76143ms | 50th percentile (median) |
| P90 | 107464ms | 89352ms | 90th percentile |
business reports
| Metric | Voyage 3 Large | Qwen3 Embedding 0.6B | Description |
|---|---|---|---|
| Accuracy Metrics | |||
| Latency Metrics | |||
| Mean | 21279ms | 15599ms | Average response time |
| P50 | 20853ms | 15287ms | 50th percentile (median) |
| P90 | 24471ms | 17939ms | 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 | 97066ms | 67654ms | Average response time |
| P50 | 95125ms | 66301ms | 50th percentile (median) |
| P90 | 111626ms | 77802ms | 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 | 80239ms | 212205ms | Average response time |
| P50 | 78634ms | 207961ms | 50th percentile (median) |
| P90 | 92275ms | 244036ms | 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 | 92317ms | 102019ms | Average response time |
| P50 | 90471ms | 99979ms | 50th percentile (median) |
| P90 | 106165ms | 117322ms | 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 | 75502ms | 65717ms | Average response time |
| P50 | 73992ms | 64403ms | 50th percentile (median) |
| P90 | 86827ms | 75575ms | 90th percentile |
NorQuAD
| Metric | Voyage 3 Large | Qwen3 Embedding 0.6B | Description |
|---|---|---|---|
| Accuracy Metrics | |||
| Latency Metrics | |||
| Mean | 11003ms | 12763ms | Average response time |
| P50 | 10783ms | 12508ms | 50th percentile (median) |
| P90 | 12653ms | 14677ms | 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 | 36963ms | 6841ms | Average response time |
| P50 | 36224ms | 6704ms | 50th percentile (median) |
| P90 | 42507ms | 7867ms | 90th percentile |
Explore More
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