Zerank 1 Small vs Contextual AI Rerank v2 Instruct

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

Model Comparison

Zerank 1 Small takes the lead.

Both Zerank 1 Small 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 Small:

  • Zerank 1 Small has 75 higher ELO rating
  • Zerank 1 Small is 3086ms faster on average
  • Zerank 1 Small has a 13.5% higher win rate

Overview

Key metrics

ELO Rating

Overall ranking quality

Zerank 1 Small

1556

Contextual AI Rerank v2 Instruct

1481

Win Rate

Head-to-head performance

Zerank 1 Small

58.6%

Contextual AI Rerank v2 Instruct

45.1%

Accuracy (nDCG@10)

Ranking quality metric

Zerank 1 Small

0.083

Contextual AI Rerank v2 Instruct

0.114

Average Latency

Response time

Zerank 1 Small

248ms

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 1 SmallContextual AI Rerank v2 InstructDescription
Overall Performance
ELO Rating
1556
1481
Overall ranking quality based on pairwise comparisons
Win Rate
58.6%
45.1%
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
0.083
0.114
Normalized discounted cumulative gain at position 10
Performance Metrics
Avg Latency
248ms
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 1 SmallContextual AI Rerank v2 InstructDescription
Latency Metrics
Mean
217ms
3283ms
Average response time
P50
214ms
3260ms
50th percentile (median)
P90
227ms
3885ms
90th percentile

arguana

MetricZerank 1 SmallContextual AI Rerank v2 InstructDescription
Accuracy Metrics
nDCG@5
0.279
0.525
Ranking quality at top 5 results
nDCG@10
0.375
0.560
Ranking quality at top 10 results
Recall@5
0.520
0.860
% of relevant docs in top 5
Recall@10
0.820
0.960
% of relevant docs in top 10
Latency Metrics
Mean
256ms
3627ms
Average response time
P50
254ms
3601ms
50th percentile (median)
P90
280ms
4037ms
90th percentile

FiQa

MetricZerank 1 SmallContextual AI Rerank v2 InstructDescription
Accuracy Metrics
nDCG@5
0.114
0.119
Ranking quality at top 5 results
nDCG@10
0.124
0.125
Ranking quality at top 10 results
Recall@5
0.098
0.123
% of relevant docs in top 5
Recall@10
0.125
0.135
% of relevant docs in top 10
Latency Metrics
Mean
248ms
3283ms
Average response time
P50
244ms
3209ms
50th percentile (median)
P90
266ms
3891ms
90th percentile

business reports

MetricZerank 1 SmallContextual AI Rerank v2 InstructDescription
Latency Metrics
Mean
251ms
3231ms
Average response time
P50
242ms
3129ms
50th percentile (median)
P90
298ms
3651ms
90th percentile

PG

MetricZerank 1 SmallContextual AI Rerank v2 InstructDescription
Latency Metrics
Mean
287ms
3566ms
Average response time
P50
274ms
3475ms
50th percentile (median)
P90
345ms
4148ms
90th percentile

DBPedia

MetricZerank 1 SmallContextual AI Rerank v2 InstructDescription
Latency Metrics
Mean
226ms
3010ms
Average response time
P50
223ms
3042ms
50th percentile (median)
P90
241ms
3283ms
90th percentile

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