Contextual AI Rerank v2 Instruct vs Zerank 2

Detailed comparison between Contextual AI Rerank v2 Instruct and Zerank 2. See which reranker best meets your accuracy and performance needs.

Model Comparison

Zerank 2 takes the lead.

Both Contextual AI Rerank v2 Instruct and Zerank 2 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 183 higher ELO rating
  • Zerank 2 is 3068ms faster on average
  • Zerank 2 has a 16.0% higher win rate

Overview

Key metrics

ELO Rating

Overall ranking quality

Contextual AI Rerank v2 Instruct

1461

Zerank 2

1644

Win Rate

Head-to-head performance

Contextual AI Rerank v2 Instruct

42.3%

Zerank 2

58.3%

Accuracy (nDCG@10)

Ranking quality metric

Contextual AI Rerank v2 Instruct

0.230

Zerank 2

0.195

Average Latency

Response time

Contextual AI Rerank v2 Instruct

3333ms

Zerank 2

265ms

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

MetricContextual AI Rerank v2 InstructZerank 2Description
Overall Performance
ELO Rating
1461
1644
Overall ranking quality based on pairwise comparisons
Win Rate
42.3%
58.3%
Percentage of comparisons won against other models
Pricing & Availability
Price per 1M tokens
$0.050
$0.025
Cost per million tokens processed
Release Date
2025-09-12
2025-11-18
Model release date
Accuracy Metrics
Avg nDCG@10
0.230
0.195
Normalized discounted cumulative gain at position 10
Performance Metrics
Avg Latency
3333ms
265ms
Average response time across all datasets

Dataset Performance

By field

Comprehensive comparison of accuracy metrics (nDCG, Recall) and latency percentiles for each benchmark dataset.

MSMARCO

MetricContextual AI Rerank v2 InstructZerank 2Description
Accuracy Metrics
nDCG@5
0.510
0.491
Ranking quality at top 5 results
nDCG@10
0.538
0.546
Ranking quality at top 10 results
Recall@5
0.720
0.620
% of relevant docs in top 5
Recall@10
0.800
0.780
% of relevant docs in top 10
Latency Metrics
Mean
3283ms
233ms
Average response time
P50
3260ms
228ms
50th percentile (median)
P90
3885ms
251ms
90th percentile

arguana

MetricContextual AI Rerank v2 InstructZerank 2Description
Accuracy Metrics
nDCG@5
0.525
0.283
Ranking quality at top 5 results
nDCG@10
0.560
0.355
Ranking quality at top 10 results
Recall@5
0.860
0.540
% of relevant docs in top 5
Recall@10
0.960
0.760
% of relevant docs in top 10
Latency Metrics
Mean
3627ms
280ms
Average response time
P50
3601ms
278ms
50th percentile (median)
P90
4037ms
312ms
90th percentile

FiQa

MetricContextual AI Rerank v2 InstructZerank 2Description
Accuracy Metrics
nDCG@5
0.119
0.108
Ranking quality at top 5 results
nDCG@10
0.125
0.119
Ranking quality at top 10 results
Recall@5
0.123
0.098
% of relevant docs in top 5
Recall@10
0.135
0.130
% of relevant docs in top 10
Latency Metrics
Mean
3283ms
251ms
Average response time
P50
3209ms
254ms
50th percentile (median)
P90
3891ms
270ms
90th percentile

business reports

MetricContextual AI Rerank v2 InstructZerank 2Description
Latency Metrics
Mean
3231ms
288ms
Average response time
P50
3129ms
269ms
50th percentile (median)
P90
3651ms
367ms
90th percentile

PG

MetricContextual AI Rerank v2 InstructZerank 2Description
Latency Metrics
Mean
3566ms
293ms
Average response time
P50
3475ms
281ms
50th percentile (median)
P90
4148ms
328ms
90th percentile

DBPedia

MetricContextual AI Rerank v2 InstructZerank 2Description
Accuracy Metrics
nDCG@5
0.158
0.138
Ranking quality at top 5 results
nDCG@10
0.159
0.151
Ranking quality at top 10 results
Recall@5
0.004
0.004
% of relevant docs in top 5
Recall@10
0.005
0.005
% of relevant docs in top 10
Latency Metrics
Mean
3010ms
247ms
Average response time
P50
3042ms
242ms
50th percentile (median)
P90
3283ms
274ms
90th percentile

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