BAAI/BGE Reranker v2 M3 vs Cohere Rerank 3.5
Detailed comparison between BAAI/BGE Reranker v2 M3 and Cohere Rerank 3.5. See which reranker best meets your accuracy and performance needs.
Model Comparison
BAAI/BGE Reranker v2 M3 takes the lead.
Both BAAI/BGE Reranker v2 M3 and Cohere Rerank 3.5 are powerful reranking models designed to improve retrieval quality in RAG applications. However, their performance characteristics differ in important ways.
Why BAAI/BGE Reranker v2 M3:
- BAAI/BGE Reranker v2 M3 has 65 higher ELO rating
- Cohere Rerank 3.5 is 1398ms faster on average
Overview
Key metrics
ELO Rating
Overall ranking quality
BAAI/BGE Reranker v2 M3
Cohere Rerank 3.5
Win Rate
Head-to-head performance
BAAI/BGE Reranker v2 M3
Cohere Rerank 3.5
Accuracy (nDCG@10)
Ranking quality metric
BAAI/BGE Reranker v2 M3
Cohere Rerank 3.5
Average Latency
Response time
BAAI/BGE Reranker v2 M3
Cohere Rerank 3.5
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 Reranker v2 M3 | Cohere Rerank 3.5 | Description |
|---|---|---|---|
| Overall Performance | |||
| ELO Rating | 1468 | 1403 | Overall ranking quality based on pairwise comparisons |
| Win Rate | 33.0% | 37.8% | Percentage of comparisons won against other models |
| Pricing & Availability | |||
| Price per 1M tokens | $0.020 | $0.050 | Cost per million tokens processed |
| Release Date | 2023-09-15 | 2024-12-02 | Model release date |
| Accuracy Metrics | |||
| Avg nDCG@10 | 0.686 | 0.689 | Normalized discounted cumulative gain at position 10 |
| Performance Metrics | |||
| Avg Latency | 1891ms | 492ms | Average response time across all datasets |
Dataset Performance
By field
Comprehensive comparison of accuracy metrics (nDCG, Recall) and latency percentiles for each benchmark dataset.
FiQa
| Metric | BAAI/BGE Reranker v2 M3 | Cohere Rerank 3.5 | Description |
|---|---|---|---|
| Accuracy Metrics | |||
| nDCG@5 | 0.112 | 0.121 | Ranking quality at top 5 results |
| nDCG@10 | 0.120 | 0.127 | Ranking quality at top 10 results |
| Recall@5 | 0.105 | 0.118 | % of relevant docs in top 5 |
| Recall@10 | 0.130 | 0.130 | % of relevant docs in top 10 |
| Latency Metrics | |||
| Mean | 1309ms | 589ms | Average response time |
| P50 | 1316ms | 603ms | 50th percentile (median) |
| P90 | 1744ms | 913ms | 90th percentile |
PG
| Metric | BAAI/BGE Reranker v2 M3 | Cohere Rerank 3.5 | Description |
|---|---|---|---|
| Accuracy Metrics | |||
| Latency Metrics | |||
| Mean | 2457ms | 661ms | Average response time |
| P50 | 1019ms | 613ms | 50th percentile (median) |
| P90 | 1469ms | 792ms | 90th percentile |
business reports
| Metric | BAAI/BGE Reranker v2 M3 | Cohere Rerank 3.5 | Description |
|---|---|---|---|
| Accuracy Metrics | |||
| Latency Metrics | |||
| Mean | 1143ms | 395ms | Average response time |
| P50 | 1106ms | 324ms | 50th percentile (median) |
| P90 | 1641ms | 570ms | 90th percentile |
MSMARCO
| Metric | BAAI/BGE Reranker v2 M3 | Cohere Rerank 3.5 | Description |
|---|---|---|---|
| Accuracy Metrics | |||
| nDCG@5 | 0.985 | 0.990 | Ranking quality at top 5 results |
| nDCG@10 | 0.985 | 0.990 | Ranking quality at top 10 results |
| Recall@5 | 1.000 | 1.000 | % of relevant docs in top 5 |
| Recall@10 | 1.000 | 1.000 | % of relevant docs in top 10 |
| Latency Metrics | |||
| Mean | 2176ms | 317ms | Average response time |
| P50 | 812ms | 299ms | 50th percentile (median) |
| P90 | 980ms | 320ms | 90th percentile |
DBPedia
| Metric | BAAI/BGE Reranker v2 M3 | Cohere Rerank 3.5 | Description |
|---|---|---|---|
| Accuracy Metrics | |||
| nDCG@5 | 0.715 | 0.691 | Ranking quality at top 5 results |
| nDCG@10 | 0.778 | 0.760 | Ranking quality at top 10 results |
| Recall@5 | 0.063 | 0.063 | % of relevant docs in top 5 |
| Recall@10 | 0.106 | 0.107 | % of relevant docs in top 10 |
| Latency Metrics | |||
| Mean | 1332ms | 355ms | Average response time |
| P50 | 831ms | 305ms | 50th percentile (median) |
| P90 | 1455ms | 523ms | 90th percentile |
Explore More
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