Cohere Embed Multilingual v3 vs BAAI/bge-m3
Detailed comparison between Cohere Embed Multilingual v3 and BAAI/bge-m3. See which embedding best meets your accuracy and performance needs.
Model Comparison
Cohere Embed Multilingual v3 takes the lead.
Both Cohere Embed Multilingual v3 and BAAI/bge-m3 are powerful embedding models designed to improve retrieval quality in RAG applications. However, their performance characteristics differ in important ways.
Why Cohere Embed Multilingual v3:
- Cohere Embed Multilingual v3 has 10 higher ELO rating
- Cohere Embed Multilingual v3 delivers better accuracy (nDCG@10: 0.781 vs 0.753)
- Cohere Embed Multilingual v3 is 56850ms faster on average
Overview
Key metrics
ELO Rating
Overall ranking quality
Cohere Embed Multilingual v3
BAAI/bge-m3
Win Rate
Head-to-head performance
Cohere Embed Multilingual v3
BAAI/bge-m3
Accuracy (nDCG@10)
Ranking quality metric
Cohere Embed Multilingual v3
BAAI/bge-m3
Average Latency
Response time
Cohere Embed Multilingual v3
BAAI/bge-m3
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 | Cohere Embed Multilingual v3 | BAAI/bge-m3 | Description |
|---|---|---|---|
| Overall Performance | |||
| ELO Rating | 1501 | 1491 | Overall ranking quality based on pairwise comparisons |
| Win Rate | 42.9% | 40.9% | Percentage of comparisons won against other models |
| Pricing & Availability | |||
| Price per 1M tokens | $0.100 | $0.010 | Cost per million tokens processed |
| Release Date | 2024-02-07 | 2024-01-27 | Model release date |
| Accuracy Metrics | |||
| Avg nDCG@10 | 0.781 | 0.753 | Normalized discounted cumulative gain at position 10 |
| Performance Metrics | |||
| Avg Latency | 24024ms | 80874ms | 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 | Cohere Embed Multilingual v3 | BAAI/bge-m3 | Description |
|---|---|---|---|
| Accuracy Metrics | |||
| Latency Metrics | |||
| Mean | 37785ms | 96375ms | Average response time |
| P50 | 37029ms | 94448ms | 50th percentile (median) |
| P90 | 43453ms | 110831ms | 90th percentile |
business reports
| Metric | Cohere Embed Multilingual v3 | BAAI/bge-m3 | Description |
|---|---|---|---|
| Accuracy Metrics | |||
| Latency Metrics | |||
| Mean | 5204ms | 24163ms | Average response time |
| P50 | 5100ms | 23680ms | 50th percentile (median) |
| P90 | 5985ms | 27787ms | 90th percentile |
DBPedia
| Metric | Cohere Embed Multilingual v3 | BAAI/bge-m3 | Description |
|---|---|---|---|
| Accuracy Metrics | |||
| nDCG@5 | 0.619 | 0.625 | Ranking quality at top 5 results |
| nDCG@10 | 0.591 | 0.603 | Ranking quality at top 10 results |
| Recall@5 | 0.222 | 0.236 | % of relevant docs in top 5 |
| Recall@10 | 0.329 | 0.341 | % of relevant docs in top 10 |
| Latency Metrics | |||
| Mean | 33570ms | 86619ms | Average response time |
| P50 | 32899ms | 84887ms | 50th percentile (median) |
| P90 | 38606ms | 99612ms | 90th percentile |
FiQa
| Metric | Cohere Embed Multilingual v3 | BAAI/bge-m3 | Description |
|---|---|---|---|
| Accuracy Metrics | |||
| nDCG@5 | 0.637 | 0.597 | Ranking quality at top 5 results |
| nDCG@10 | 0.654 | 0.609 | Ranking quality at top 10 results |
| Recall@5 | 0.621 | 0.607 | % of relevant docs in top 5 |
| Recall@10 | 0.692 | 0.666 | % of relevant docs in top 10 |
| Latency Metrics | |||
| Mean | 37581ms | 159871ms | Average response time |
| P50 | 36829ms | 156674ms | 50th percentile (median) |
| P90 | 43218ms | 183852ms | 90th percentile |
SciFact
| Metric | Cohere Embed Multilingual v3 | BAAI/bge-m3 | Description |
|---|---|---|---|
| Accuracy Metrics | |||
| nDCG@5 | 0.723 | 0.578 | Ranking quality at top 5 results |
| nDCG@10 | 0.732 | 0.617 | Ranking quality at top 10 results |
| Recall@5 | 0.808 | 0.652 | % of relevant docs in top 5 |
| Recall@10 | 0.833 | 0.763 | % of relevant docs in top 10 |
| Latency Metrics | |||
| Mean | 39542ms | 154804ms | Average response time |
| P50 | 38751ms | 151708ms | 50th percentile (median) |
| P90 | 45473ms | 178025ms | 90th percentile |
MSMARCO
| Metric | Cohere Embed Multilingual v3 | BAAI/bge-m3 | Description |
|---|---|---|---|
| Accuracy Metrics | |||
| nDCG@5 | 0.996 | 0.997 | Ranking quality at top 5 results |
| nDCG@10 | 0.994 | 0.997 | Ranking quality at top 10 results |
| Recall@5 | 0.122 | 0.122 | % of relevant docs in top 5 |
| Recall@10 | 0.218 | 0.220 | % of relevant docs in top 10 |
| Latency Metrics | |||
| Mean | 32380ms | 96153ms | Average response time |
| P50 | 31732ms | 94230ms | 50th percentile (median) |
| P90 | 37237ms | 110576ms | 90th percentile |
NorQuAD
| Metric | Cohere Embed Multilingual v3 | BAAI/bge-m3 | Description |
|---|---|---|---|
| Accuracy Metrics | |||
| Latency Metrics | |||
| Mean | 3824ms | 16285ms | Average response time |
| P50 | 3748ms | 15959ms | 50th percentile (median) |
| P90 | 4398ms | 18728ms | 90th percentile |
ARCD
| Metric | Cohere Embed Multilingual v3 | BAAI/bge-m3 | Description |
|---|---|---|---|
| Accuracy Metrics | |||
| nDCG@5 | 0.925 | 0.941 | Ranking quality at top 5 results |
| nDCG@10 | 0.933 | 0.941 | Ranking quality at top 10 results |
| Recall@5 | 0.940 | 0.960 | % of relevant docs in top 5 |
| Recall@10 | 0.960 | 0.960 | % of relevant docs in top 10 |
| Latency Metrics | |||
| Mean | 2305ms | 12723ms | Average response time |
| P50 | 2259ms | 12469ms | 50th percentile (median) |
| P90 | 2651ms | 14631ms | 90th percentile |
Explore More
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