Zerank 1 vs Contextual AI Rerank v2 Instruct

Detailed comparison between Zerank 1 and Contextual AI Rerank v2 Instruct. See which reranker best meets your accuracy and performance needs.

Model Comparison

Zerank 1 takes the lead.

Both Zerank 1 and Contextual AI Rerank v2 Instruct are powerful reranking models designed to improve retrieval quality in RAG applications. However, their performance characteristics differ in important ways.

Why Zerank 1:

  • Zerank 1 has 113 higher ELO rating
  • Zerank 1 is 3067ms faster on average
  • Zerank 1 has a 15.0% higher win rate

Overview

Key metrics

ELO Rating

Overall ranking quality

Zerank 1

1574

Contextual AI Rerank v2 Instruct

1461

Win Rate

Head-to-head performance

Zerank 1

57.3%

Contextual AI Rerank v2 Instruct

42.3%

Accuracy (nDCG@10)

Ranking quality metric

Zerank 1

0.192

Contextual AI Rerank v2 Instruct

0.230

Average Latency

Response time

Zerank 1

266ms

Contextual AI Rerank v2 Instruct

3333ms

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 1Contextual AI Rerank v2 InstructDescription
Overall Performance
ELO Rating
1574
1461
Overall ranking quality based on pairwise comparisons
Win Rate
57.3%
42.3%
Percentage of comparisons won against other models
Pricing & Availability
Price per 1M tokens
$0.025
$0.050
Cost per million tokens processed
Release Date
2025-07-10
2025-09-12
Model release date
Accuracy Metrics
Avg nDCG@10
0.192
0.230
Normalized discounted cumulative gain at position 10
Performance Metrics
Avg Latency
266ms
3333ms
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

MetricZerank 1Contextual AI Rerank v2 InstructDescription
Accuracy Metrics
nDCG@5
0.439
0.510
Ranking quality at top 5 results
nDCG@10
0.499
0.538
Ranking quality at top 10 results
Recall@5
0.600
0.720
% of relevant docs in top 5
Recall@10
0.780
0.800
% of relevant docs in top 10
Latency Metrics
Mean
232ms
3283ms
Average response time
P50
226ms
3260ms
50th percentile (median)
P90
245ms
3885ms
90th percentile

arguana

MetricZerank 1Contextual AI Rerank v2 InstructDescription
Accuracy Metrics
nDCG@5
0.308
0.525
Ranking quality at top 5 results
nDCG@10
0.369
0.560
Ranking quality at top 10 results
Recall@5
0.580
0.860
% of relevant docs in top 5
Recall@10
0.760
0.960
% of relevant docs in top 10
Latency Metrics
Mean
287ms
3627ms
Average response time
P50
275ms
3601ms
50th percentile (median)
P90
332ms
4037ms
90th percentile

FiQa

MetricZerank 1Contextual AI Rerank v2 InstructDescription
Accuracy Metrics
nDCG@5
0.115
0.119
Ranking quality at top 5 results
nDCG@10
0.121
0.125
Ranking quality at top 10 results
Recall@5
0.105
0.123
% of relevant docs in top 5
Recall@10
0.125
0.135
% of relevant docs in top 10
Latency Metrics
Mean
259ms
3283ms
Average response time
P50
258ms
3209ms
50th percentile (median)
P90
276ms
3891ms
90th percentile

business reports

MetricZerank 1Contextual AI Rerank v2 InstructDescription
Latency Metrics
Mean
289ms
3231ms
Average response time
P50
272ms
3129ms
50th percentile (median)
P90
363ms
3651ms
90th percentile

PG

MetricZerank 1Contextual AI Rerank v2 InstructDescription
Latency Metrics
Mean
293ms
3566ms
Average response time
P50
279ms
3475ms
50th percentile (median)
P90
348ms
4148ms
90th percentile

DBPedia

MetricZerank 1Contextual AI Rerank v2 InstructDescription
Accuracy Metrics
nDCG@5
0.145
0.158
Ranking quality at top 5 results
nDCG@10
0.161
0.159
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
238ms
3010ms
Average response time
P50
233ms
3042ms
50th percentile (median)
P90
257ms
3283ms
90th percentile

Explore More

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