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Gemini Embedding 2 vs Qwen3 Embedding 4B

Detailed comparison between Gemini Embedding 2 and Qwen3 Embedding 4B. See which embedding best meets your accuracy and performance needs. If you want to compare these models on your data, try Agentset.

Explore Gemini Embedding 2Explore Qwen3 Embedding 4B

Model Comparison

Gemini Embedding 2 takes the lead.

Both Gemini Embedding 2 and Qwen3 Embedding 4B are powerful embedding models designed to improve retrieval quality in RAG applications. However, their performance characteristics differ in important ways.

Why Gemini Embedding 2:

  • Gemini Embedding 2 has 123 higher ELO rating
  • Qwen3 Embedding 4B delivers better accuracy (nDCG@10: 0.705 vs 0.628)
  • Qwen3 Embedding 4B is 406ms faster on average
  • Gemini Embedding 2 has a 15.0% higher win rate

Overview

Key metrics

ELO Rating

Overall ranking quality

Gemini Embedding 2

1605

Qwen3 Embedding 4B

1482

Win Rate

Head-to-head performance

Gemini Embedding 2

59.5%

Qwen3 Embedding 4B

44.6%

Accuracy (nDCG@10)

Ranking quality metric

Gemini Embedding 2

0.628

Qwen3 Embedding 4B

0.705

Average Latency

Response time

Gemini Embedding 2

435ms

Qwen3 Embedding 4B

29ms

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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

MetricGemini Embedding 2Qwen3 Embedding 4BDescription
Overall Performance
ELO Rating
1605
1482
Overall ranking quality based on pairwise comparisons
Win Rate
59.5%
44.6%
Percentage of comparisons won against other models
Pricing & Availability
Price per 1M tokens
$0.000
$0.020
Cost per million tokens processed
Dimensions
3072
2560
Vector embedding dimensions (lower is more efficient)
Release Date
2026-03-10
2025-06-06
Model release date
Accuracy Metrics
Avg nDCG@10
0.628
0.705
Normalized discounted cumulative gain at position 10
Performance Metrics
Avg Latency
435ms
29ms
Average response time across all datasets

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Agentset gives you a complete RAG API with top-ranked embedding models and smart retrieval built in. Upload your data, call the API, and get accurate results from day one.

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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.

FiQa

MetricGemini Embedding 2Qwen3 Embedding 4BDescription
Accuracy Metrics
nDCG@5
0.843
0.838
Ranking quality at top 5 results
nDCG@10
0.835
0.836
Ranking quality at top 10 results
Recall@5
0.763
0.719
% of relevant docs in top 5
Recall@10
0.816
0.839
% of relevant docs in top 10
Latency Metrics
Mean
466ms
23ms
Average response time
P50
454ms
23ms
50th percentile (median)
P90
605ms
23ms
90th percentile

MSMARCO

MetricGemini Embedding 2Qwen3 Embedding 4BDescription
Accuracy Metrics
nDCG@5
0.956
0.974
Ranking quality at top 5 results
nDCG@10
0.939
0.954
Ranking quality at top 10 results
Recall@5
0.122
0.124
% of relevant docs in top 5
Recall@10
0.221
0.224
% of relevant docs in top 10
Latency Metrics
Mean
441ms
31ms
Average response time
P50
446ms
31ms
50th percentile (median)
P90
584ms
31ms
90th percentile

SciFact

MetricGemini Embedding 2Qwen3 Embedding 4BDescription
Accuracy Metrics
nDCG@5
0.871
0.666
Ranking quality at top 5 results
nDCG@10
0.871
0.697
Ranking quality at top 10 results
Recall@5
0.959
0.782
% of relevant docs in top 5
Recall@10
0.959
0.891
% of relevant docs in top 10
Latency Metrics
Mean
404ms
38ms
Average response time
P50
360ms
38ms
50th percentile (median)
P90
537ms
38ms
90th percentile

DBPedia

MetricGemini Embedding 2Qwen3 Embedding 4BDescription
Accuracy Metrics
nDCG@5
0.788
0.799
Ranking quality at top 5 results
nDCG@10
0.792
0.787
Ranking quality at top 10 results
Recall@5
0.061
0.061
% of relevant docs in top 5
Recall@10
0.120
0.119
% of relevant docs in top 10
Latency Metrics
Mean
436ms
26ms
Average response time
P50
432ms
26ms
50th percentile (median)
P90
592ms
26ms
90th percentile

business reports

MetricGemini Embedding 2Qwen3 Embedding 4BDescription
Accuracy Metrics
nDCG@5
0.091
0.000
Ranking quality at top 5 results
nDCG@10
0.084
0.000
Ranking quality at top 10 results
Recall@5
0.012
0.000
% of relevant docs in top 5
Recall@10
0.020
0.000
% of relevant docs in top 10
Latency Metrics
Mean
439ms
29ms
Average response time
P50
431ms
29ms
50th percentile (median)
P90
603ms
29ms
90th percentile

ARCD

MetricGemini Embedding 2Qwen3 Embedding 4BDescription
Accuracy Metrics
nDCG@5
0.868
0.857
Ranking quality at top 5 results
nDCG@10
0.875
0.864
Ranking quality at top 10 results
Recall@5
0.940
0.940
% of relevant docs in top 5
Recall@10
0.960
0.960
% of relevant docs in top 10
Latency Metrics
Mean
410ms
25ms
Average response time
P50
359ms
25ms
50th percentile (median)
P90
586ms
25ms
90th percentile

Explore More

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