Cohere Rerank 3.5 vs Cohere Rerank 4 Pro
Detailed comparison between Cohere Rerank 3.5 and Cohere Rerank 4 Pro. 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 4 Pro takes the lead.
Both Cohere Rerank 3.5 and Cohere Rerank 4 Pro are powerful reranking models designed to improve retrieval quality in RAG applications. However, their performance characteristics differ in important ways.
Why Cohere Rerank 4 Pro:
- Cohere Rerank 4 Pro has 177 higher ELO rating
- Cohere Rerank 4 Pro delivers better accuracy (nDCG@10: 0.095 vs 0.080)
- Cohere Rerank 4 Pro has a 16.8% higher win rate
Overview
Key metrics
ELO Rating
Overall ranking quality
Cohere Rerank 3.5
Cohere Rerank 4 Pro
Win Rate
Head-to-head performance
Cohere Rerank 3.5
Cohere Rerank 4 Pro
Accuracy (nDCG@10)
Ranking quality metric
Cohere Rerank 3.5
Cohere Rerank 4 Pro
Average Latency
Response time
Cohere Rerank 3.5
Cohere Rerank 4 Pro
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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 | Cohere Rerank 3.5 | Cohere Rerank 4 Pro | Description |
|---|---|---|---|
| Overall Performance | |||
| ELO Rating | 1451 | 1629 | Overall ranking quality based on pairwise comparisons |
| Win Rate | 40.9% | 57.7% | Percentage of comparisons won against other models |
| Pricing & Availability | |||
| Price per 1M tokens | $0.050 | $0.050 | Cost per million tokens processed |
| Release Date | 2024-12-02 | 2025-12-11 | Model release date |
| Accuracy Metrics | |||
| Avg nDCG@10 | 0.080 | 0.095 | Normalized discounted cumulative gain at position 10 |
| Performance Metrics | |||
| Avg Latency | 392ms | 614ms | 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 | Cohere Rerank 3.5 | Cohere Rerank 4 Pro | Description |
|---|---|---|---|
| Latency Metrics | |||
| Mean | 339ms | 458ms | Average response time |
| P50 | 285ms | 408ms | 50th percentile (median) |
| P90 | 304ms | 615ms | 90th percentile |
arguana
| Metric | Cohere Rerank 3.5 | Cohere Rerank 4 Pro | Description |
|---|---|---|---|
| Accuracy Metrics | |||
| nDCG@5 | 0.267 | 0.353 | Ranking quality at top 5 results |
| nDCG@10 | 0.355 | 0.439 | Ranking quality at top 10 results |
| Recall@5 | 0.520 | 0.660 | % of relevant docs in top 5 |
| Recall@10 | 0.800 | 0.920 | % of relevant docs in top 10 |
| Latency Metrics | |||
| Mean | 570ms | 785ms | Average response time |
| P50 | 373ms | 768ms | 50th percentile (median) |
| P90 | 617ms | 933ms | 90th percentile |
FiQa
| Metric | Cohere Rerank 3.5 | Cohere Rerank 4 Pro | Description |
|---|---|---|---|
| Accuracy Metrics | |||
| nDCG@5 | 0.124 | 0.126 | Ranking quality at top 5 results |
| nDCG@10 | 0.128 | 0.129 | Ranking quality at top 10 results |
| Recall@5 | 0.123 | 0.130 | % of relevant docs in top 5 |
| Recall@10 | 0.130 | 0.135 | % of relevant docs in top 10 |
| Latency Metrics | |||
| Mean | 364ms | 610ms | Average response time |
| P50 | 315ms | 585ms | 50th percentile (median) |
| P90 | 401ms | 817ms | 90th percentile |
business reports
| Metric | Cohere Rerank 3.5 | Cohere Rerank 4 Pro | Description |
|---|---|---|---|
| Latency Metrics | |||
| Mean | 334ms | 529ms | Average response time |
| P50 | 293ms | 498ms | 50th percentile (median) |
| P90 | 503ms | 675ms | 90th percentile |
PG
| Metric | Cohere Rerank 3.5 | Cohere Rerank 4 Pro | Description |
|---|---|---|---|
| Latency Metrics | |||
| Mean | 458ms | 760ms | Average response time |
| P50 | 360ms | 720ms | 50th percentile (median) |
| P90 | 615ms | 896ms | 90th percentile |
DBPedia
| Metric | Cohere Rerank 3.5 | Cohere Rerank 4 Pro | Description |
|---|---|---|---|
| Latency Metrics | |||
| Mean | 286ms | 541ms | Average response time |
| P50 | 279ms | 489ms | 50th percentile (median) |
| P90 | 290ms | 729ms | 90th percentile |
Explore More
Compare more rerankers
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