Zerank 2 vs Qwen3 Reranker 8B

Detailed comparison between Zerank 2 and Qwen3 Reranker 8B. See which reranker best meets your accuracy and performance needs. If you want to compare these models on your data, try Agentset.

Model Comparison

Zerank 2 takes the lead.

Both Zerank 2 and Qwen3 Reranker 8B are powerful reranking models designed to improve retrieval quality in RAG applications. However, their performance characteristics differ in important ways.

Why Zerank 2:

  • Zerank 2 has 165 higher ELO rating
  • Zerank 2 is 4421ms faster on average
  • Zerank 2 has a 6.0% higher win rate

Overview

Key metrics

ELO Rating

Overall ranking quality

Zerank 2

1638

Qwen3 Reranker 8B

1473

Win Rate

Head-to-head performance

Zerank 2

57.2%

Qwen3 Reranker 8B

51.2%

Accuracy (nDCG@10)

Ranking quality metric

Zerank 2

0.079

Qwen3 Reranker 8B

0.106

Average Latency

Response time

Zerank 2

265ms

Qwen3 Reranker 8B

4687ms

Rerankers Are Just One Piece of RAG

Agentset gives you a managed RAG pipeline with the top-ranked models and best practices baked in. No infrastructure to maintain, no reranking to configure.

Trusted by teams building production RAG applications

5M+
Documents
1,500+
Teams
99.9%
Uptime

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

MetricZerank 2Qwen3 Reranker 8BDescription
Overall Performance
ELO Rating
1638
1473
Overall ranking quality based on pairwise comparisons
Win Rate
57.2%
51.2%
Percentage of comparisons won against other models
Pricing & Availability
Price per 1M tokens
$0.025
$0.050
Cost per million tokens processed
Release Date
2025-11-18
2025-06-06
Model release date
Accuracy Metrics
Avg nDCG@10
0.079
0.106
Normalized discounted cumulative gain at position 10
Performance Metrics
Avg Latency
265ms
4687ms
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

MetricZerank 2Qwen3 Reranker 8BDescription
Latency Metrics
Mean
233ms
1728ms
Average response time
P50
228ms
1624ms
50th percentile (median)
P90
251ms
1679ms
90th percentile

arguana

MetricZerank 2Qwen3 Reranker 8BDescription
Accuracy Metrics
nDCG@5
0.283
0.492
Ranking quality at top 5 results
nDCG@10
0.355
0.519
Ranking quality at top 10 results
Recall@5
0.540
0.800
% of relevant docs in top 5
Recall@10
0.760
0.880
% of relevant docs in top 10
Latency Metrics
Mean
280ms
13109ms
Average response time
P50
278ms
2812ms
50th percentile (median)
P90
312ms
3425ms
90th percentile

FiQa

MetricZerank 2Qwen3 Reranker 8BDescription
Accuracy Metrics
nDCG@5
0.108
0.114
Ranking quality at top 5 results
nDCG@10
0.119
0.118
Ranking quality at top 10 results
Recall@5
0.098
0.105
% of relevant docs in top 5
Recall@10
0.130
0.110
% of relevant docs in top 10
Latency Metrics
Mean
251ms
7242ms
Average response time
P50
254ms
2278ms
50th percentile (median)
P90
270ms
2890ms
90th percentile

business reports

MetricZerank 2Qwen3 Reranker 8BDescription
Latency Metrics
Mean
288ms
1803ms
Average response time
P50
269ms
1763ms
50th percentile (median)
P90
367ms
2097ms
90th percentile

PG

MetricZerank 2Qwen3 Reranker 8BDescription
Latency Metrics
Mean
293ms
2567ms
Average response time
P50
281ms
2579ms
50th percentile (median)
P90
328ms
2634ms
90th percentile

DBPedia

MetricZerank 2Qwen3 Reranker 8BDescription
Latency Metrics
Mean
247ms
1673ms
Average response time
P50
242ms
1673ms
50th percentile (median)
P90
274ms
1787ms
90th percentile

Explore More

Compare more rerankers

See how all reranking models stack up. Compare Cohere, Jina AI, Voyage, ZeRank, and more. View comprehensive benchmarks, compare performance metrics, and find the perfect reranker for your RAG application.