BAAI/bge-m3 vs Qwen3 Embedding 0.6B
Detailed comparison between BAAI/bge-m3 and Qwen3 Embedding 0.6B. See which embedding best meets your accuracy and performance needs.
Model Comparison
BAAI/bge-m3 takes the lead.
Both BAAI/bge-m3 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 BAAI/bge-m3:
- BAAI/bge-m3 has 12 higher ELO rating
- Qwen3 Embedding 0.6B is 10812ms faster on average
Overview
Key metrics
ELO Rating
Overall ranking quality
BAAI/bge-m3
Qwen3 Embedding 0.6B
Win Rate
Head-to-head performance
BAAI/bge-m3
Qwen3 Embedding 0.6B
Accuracy (nDCG@10)
Ranking quality metric
BAAI/bge-m3
Qwen3 Embedding 0.6B
Average Latency
Response time
BAAI/bge-m3
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 | BAAI/bge-m3 | Qwen3 Embedding 0.6B | Description |
|---|---|---|---|
| Overall Performance | |||
| ELO Rating | 1491 | 1478 | Overall ranking quality based on pairwise comparisons |
| Win Rate | 40.9% | 37.3% | Percentage of comparisons won against other models |
| Pricing & Availability | |||
| Price per 1M tokens | $0.010 | $0.010 | Cost per million tokens processed |
| Release Date | 2024-01-27 | 2025-06-06 | Model release date |
| Accuracy Metrics | |||
| Avg nDCG@10 | 0.753 | 0.751 | Normalized discounted cumulative gain at position 10 |
| Performance Metrics | |||
| Avg Latency | 80874ms | 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 | BAAI/bge-m3 | Qwen3 Embedding 0.6B | Description |
|---|---|---|---|
| Accuracy Metrics | |||
| Latency Metrics | |||
| Mean | 96375ms | 77697ms | Average response time |
| P50 | 94448ms | 76143ms | 50th percentile (median) |
| P90 | 110831ms | 89352ms | 90th percentile |
business reports
| Metric | BAAI/bge-m3 | Qwen3 Embedding 0.6B | Description |
|---|---|---|---|
| Accuracy Metrics | |||
| Latency Metrics | |||
| Mean | 24163ms | 15599ms | Average response time |
| P50 | 23680ms | 15287ms | 50th percentile (median) |
| P90 | 27787ms | 17939ms | 90th percentile |
DBPedia
| Metric | BAAI/bge-m3 | Qwen3 Embedding 0.6B | Description |
|---|---|---|---|
| Accuracy Metrics | |||
| nDCG@5 | 0.625 | 0.549 | Ranking quality at top 5 results |
| nDCG@10 | 0.603 | 0.556 | Ranking quality at top 10 results |
| Recall@5 | 0.236 | 0.216 | % of relevant docs in top 5 |
| Recall@10 | 0.341 | 0.350 | % of relevant docs in top 10 |
| Latency Metrics | |||
| Mean | 86619ms | 67654ms | Average response time |
| P50 | 84887ms | 66301ms | 50th percentile (median) |
| P90 | 99612ms | 77802ms | 90th percentile |
FiQa
| Metric | BAAI/bge-m3 | Qwen3 Embedding 0.6B | Description |
|---|---|---|---|
| Accuracy Metrics | |||
| nDCG@5 | 0.597 | 0.620 | Ranking quality at top 5 results |
| nDCG@10 | 0.609 | 0.647 | Ranking quality at top 10 results |
| Recall@5 | 0.607 | 0.590 | % of relevant docs in top 5 |
| Recall@10 | 0.666 | 0.680 | % of relevant docs in top 10 |
| Latency Metrics | |||
| Mean | 159871ms | 212205ms | Average response time |
| P50 | 156674ms | 207961ms | 50th percentile (median) |
| P90 | 183852ms | 244036ms | 90th percentile |
SciFact
| Metric | BAAI/bge-m3 | Qwen3 Embedding 0.6B | Description |
|---|---|---|---|
| Accuracy Metrics | |||
| nDCG@5 | 0.578 | 0.666 | Ranking quality at top 5 results |
| nDCG@10 | 0.617 | 0.686 | Ranking quality at top 10 results |
| Recall@5 | 0.652 | 0.723 | % of relevant docs in top 5 |
| Recall@10 | 0.763 | 0.783 | % of relevant docs in top 10 |
| Latency Metrics | |||
| Mean | 154804ms | 102019ms | Average response time |
| P50 | 151708ms | 99979ms | 50th percentile (median) |
| P90 | 178025ms | 117322ms | 90th percentile |
MSMARCO
| Metric | BAAI/bge-m3 | Qwen3 Embedding 0.6B | Description |
|---|---|---|---|
| Accuracy Metrics | |||
| nDCG@5 | 0.997 | 0.997 | Ranking quality at top 5 results |
| nDCG@10 | 0.997 | 0.992 | Ranking quality at top 10 results |
| Recall@5 | 0.122 | 0.122 | % of relevant docs in top 5 |
| Recall@10 | 0.220 | 0.215 | % of relevant docs in top 10 |
| Latency Metrics | |||
| Mean | 96153ms | 65717ms | Average response time |
| P50 | 94230ms | 64403ms | 50th percentile (median) |
| P90 | 110576ms | 75575ms | 90th percentile |
NorQuAD
| Metric | BAAI/bge-m3 | Qwen3 Embedding 0.6B | Description |
|---|---|---|---|
| Accuracy Metrics | |||
| Latency Metrics | |||
| Mean | 16285ms | 12763ms | Average response time |
| P50 | 15959ms | 12508ms | 50th percentile (median) |
| P90 | 18728ms | 14677ms | 90th percentile |
ARCD
| Metric | BAAI/bge-m3 | Qwen3 Embedding 0.6B | Description |
|---|---|---|---|
| Accuracy Metrics | |||
| nDCG@5 | 0.941 | 0.865 | Ranking quality at top 5 results |
| nDCG@10 | 0.941 | 0.872 | Ranking quality at top 10 results |
| Recall@5 | 0.960 | 0.880 | % of relevant docs in top 5 |
| Recall@10 | 0.960 | 0.900 | % of relevant docs in top 10 |
| Latency Metrics | |||
| Mean | 12723ms | 6841ms | Average response time |
| P50 | 12469ms | 6704ms | 50th percentile (median) |
| P90 | 14631ms | 7867ms | 90th percentile |
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