BAAI/bge-m3 vs Gemini text-embedding-004
Detailed comparison between BAAI/bge-m3 and Gemini text-embedding-004. See which embedding best meets your accuracy and performance needs. If you want to compare these models on your data, try Agentset.
Model Comparison
BAAI/bge-m3 takes the lead.
Both BAAI/bge-m3 and Gemini text-embedding-004 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 114 higher ELO rating
- BAAI/bge-m3 delivers better accuracy (nDCG@10: 0.674 vs 0.538)
- BAAI/bge-m3 has a 15.9% higher win rate
Overview
Key metrics
ELO Rating
Overall ranking quality
BAAI/bge-m3
Gemini text-embedding-004
Win Rate
Head-to-head performance
BAAI/bge-m3
Gemini text-embedding-004
Accuracy (nDCG@10)
Ranking quality metric
BAAI/bge-m3
Gemini text-embedding-004
Average Latency
Response time
BAAI/bge-m3
Gemini text-embedding-004
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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 | Gemini text-embedding-004 | Description |
|---|---|---|---|
| Overall Performance | |||
| ELO Rating | 1480 | 1366 | Overall ranking quality based on pairwise comparisons |
| Win Rate | 44.3% | 28.4% | Percentage of comparisons won against other models |
| Pricing & Availability | |||
| Price per 1M tokens | $0.010 | $0.020 | Cost per million tokens processed |
| Dimensions | 1024 | 768 | Vector embedding dimensions (lower is more efficient) |
| Release Date | 2024-01-27 | 2024-05-14 | Model release date |
| Accuracy Metrics | |||
| Avg nDCG@10 | 0.674 | 0.538 | Normalized discounted cumulative gain at position 10 |
| Performance Metrics | |||
| Avg Latency | 34ms | 16ms | Average response time across all datasets |
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for (const result of results) {
console.log(result.text);
}Dataset Performance
By field
Comprehensive comparison of accuracy metrics (nDCG, Recall) and latency percentiles for each benchmark dataset.
business reports
| Metric | BAAI/bge-m3 | Gemini text-embedding-004 | Description |
|---|---|---|---|
| Accuracy Metrics | |||
| nDCG@5 | 0.000 | 0.000 | Ranking quality at top 5 results |
| nDCG@10 | 0.000 | 0.000 | Ranking quality at top 10 results |
| Recall@5 | 0.000 | 0.000 | % of relevant docs in top 5 |
| Recall@10 | 0.000 | 0.000 | % of relevant docs in top 10 |
| Latency Metrics | |||
| Mean | 27ms | 15ms | Average response time |
| P50 | 27ms | 15ms | 50th percentile (median) |
| P90 | 27ms | 15ms | 90th percentile |
DBPedia
| Metric | BAAI/bge-m3 | Gemini text-embedding-004 | Description |
|---|---|---|---|
| Accuracy Metrics | |||
| nDCG@5 | 0.801 | 0.747 | Ranking quality at top 5 results |
| nDCG@10 | 0.785 | 0.737 | Ranking quality at top 10 results |
| Recall@5 | 0.061 | 0.057 | % of relevant docs in top 5 |
| Recall@10 | 0.122 | 0.108 | % of relevant docs in top 10 |
| Latency Metrics | |||
| Mean | 21ms | 14ms | Average response time |
| P50 | 21ms | 14ms | 50th percentile (median) |
| P90 | 21ms | 14ms | 90th percentile |
FiQa
| Metric | BAAI/bge-m3 | Gemini text-embedding-004 | Description |
|---|---|---|---|
| Accuracy Metrics | |||
| nDCG@5 | 0.743 | 0.744 | Ranking quality at top 5 results |
| nDCG@10 | 0.755 | 0.730 | Ranking quality at top 10 results |
| Recall@5 | 0.608 | 0.647 | % of relevant docs in top 5 |
| Recall@10 | 0.667 | 0.752 | % of relevant docs in top 10 |
| Latency Metrics | |||
| Mean | 22ms | 16ms | Average response time |
| P50 | 22ms | 16ms | 50th percentile (median) |
| P90 | 22ms | 16ms | 90th percentile |
SciFact
| Metric | BAAI/bge-m3 | Gemini text-embedding-004 | Description |
|---|---|---|---|
| Accuracy Metrics | |||
| nDCG@5 | 0.571 | 0.728 | Ranking quality at top 5 results |
| nDCG@10 | 0.599 | 0.729 | Ranking quality at top 10 results |
| Recall@5 | 0.645 | 0.813 | % of relevant docs in top 5 |
| Recall@10 | 0.759 | 0.857 | % of relevant docs in top 10 |
| Latency Metrics | |||
| Mean | 37ms | 15ms | Average response time |
| P50 | 37ms | 15ms | 50th percentile (median) |
| P90 | 37ms | 15ms | 90th percentile |
MSMARCO
| Metric | BAAI/bge-m3 | Gemini text-embedding-004 | Description |
|---|---|---|---|
| Accuracy Metrics | |||
| nDCG@5 | 0.956 | 0.932 | Ranking quality at top 5 results |
| nDCG@10 | 0.941 | 0.918 | Ranking quality at top 10 results |
| Recall@5 | 0.121 | 0.117 | % of relevant docs in top 5 |
| Recall@10 | 0.219 | 0.208 | % of relevant docs in top 10 |
| Latency Metrics | |||
| Mean | 51ms | 18ms | Average response time |
| P50 | 51ms | 18ms | 50th percentile (median) |
| P90 | 51ms | 18ms | 90th percentile |
ARCD
| Metric | BAAI/bge-m3 | Gemini text-embedding-004 | Description |
|---|---|---|---|
| Accuracy Metrics | |||
| nDCG@5 | 0.879 | 0.021 | Ranking quality at top 5 results |
| nDCG@10 | 0.879 | 0.027 | Ranking quality at top 10 results |
| Recall@5 | 0.960 | 0.040 | % of relevant docs in top 5 |
| Recall@10 | 0.960 | 0.060 | % of relevant docs in top 10 |
| Latency Metrics | |||
| Mean | 48ms | 15ms | Average response time |
| P50 | 48ms | 15ms | 50th percentile (median) |
| P90 | 48ms | 15ms | 90th percentile |
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