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. If you want to compare these models on your data, try Agentset.
Model Comparison
Cohere Rerank 3.5 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 Cohere Rerank 3.5:
- Cohere Rerank 3.5 has 124 higher ELO rating
- Cohere Rerank 3.5 is 1991ms faster on average
- Cohere Rerank 3.5 has a 12.3% higher win rate
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
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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 Reranker v2 M3 | Cohere Rerank 3.5 | Description |
|---|---|---|---|
| Overall Performance | |||
| ELO Rating | 1327 | 1451 | Overall ranking quality based on pairwise comparisons |
| Win Rate | 28.6% | 40.9% | 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 | 0.084 | 0.080 | Normalized discounted cumulative gain at position 10 |
| Performance Metrics | |||
| Avg Latency | 2383ms | 392ms | Average response time across all datasets |
Build RAG in Minutes, Not Months
Agentset gives you a complete RAG API with top-ranked rerankers and embedding models built in. Upload your data, call the API, and get accurate results from day one.
import { Agentset } from "agentset";
const agentset = new Agentset();
const ns = agentset.namespace("ns_1234");
const results = await ns.search(
"What is multi-head attention?"
);
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.
MSMARCO
| Metric | BAAI/BGE Reranker v2 M3 | Cohere Rerank 3.5 | Description |
|---|---|---|---|
| Latency Metrics | |||
| Mean | 2207ms | 339ms | Average response time |
| P50 | 825ms | 285ms | 50th percentile (median) |
| P90 | 1247ms | 304ms | 90th percentile |
arguana
| Metric | BAAI/BGE Reranker v2 M3 | Cohere Rerank 3.5 | Description |
|---|---|---|---|
| Accuracy Metrics | |||
| nDCG@5 | 0.312 | 0.267 | Ranking quality at top 5 results |
| nDCG@10 | 0.386 | 0.355 | Ranking quality at top 10 results |
| Recall@5 | 0.560 | 0.520 | % of relevant docs in top 5 |
| Recall@10 | 0.780 | 0.800 | % of relevant docs in top 10 |
| Latency Metrics | |||
| Mean | 2989ms | 570ms | Average response time |
| P50 | 1658ms | 373ms | 50th percentile (median) |
| P90 | 2279ms | 617ms | 90th percentile |
FiQa
| Metric | BAAI/BGE Reranker v2 M3 | Cohere Rerank 3.5 | Description |
|---|---|---|---|
| Accuracy Metrics | |||
| nDCG@5 | 0.112 | 0.124 | Ranking quality at top 5 results |
| nDCG@10 | 0.120 | 0.128 | Ranking quality at top 10 results |
| Recall@5 | 0.105 | 0.123 | % of relevant docs in top 5 |
| Recall@10 | 0.130 | 0.130 | % of relevant docs in top 10 |
| Latency Metrics | |||
| Mean | 2529ms | 364ms | Average response time |
| P50 | 1019ms | 315ms | 50th percentile (median) |
| P90 | 1649ms | 401ms | 90th percentile |
business reports
| Metric | BAAI/BGE Reranker v2 M3 | Cohere Rerank 3.5 | Description |
|---|---|---|---|
| Latency Metrics | |||
| Mean | 2451ms | 334ms | Average response time |
| P50 | 895ms | 293ms | 50th percentile (median) |
| P90 | 1679ms | 503ms | 90th percentile |
PG
| Metric | BAAI/BGE Reranker v2 M3 | Cohere Rerank 3.5 | Description |
|---|---|---|---|
| Latency Metrics | |||
| Mean | 2034ms | 458ms | Average response time |
| P50 | 1225ms | 360ms | 50th percentile (median) |
| P90 | 2091ms | 615ms | 90th percentile |
DBPedia
| Metric | BAAI/BGE Reranker v2 M3 | Cohere Rerank 3.5 | Description |
|---|---|---|---|
| Latency Metrics | |||
| Mean | 2087ms | 286ms | Average response time |
| P50 | 806ms | 279ms | 50th percentile (median) |
| P90 | 1068ms | 290ms | 90th percentile |
Explore More
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