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Gemini Embedding 2 vs Qwen3 Embedding 0.6B

Detailed comparison between Gemini Embedding 2 and Qwen3 Embedding 0.6B. 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 0.6B

Model Comparison

Gemini Embedding 2 takes the lead.

Both Gemini Embedding 2 and Qwen3 Embedding 0.6B 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 185 higher ELO rating
  • Qwen3 Embedding 0.6B delivers better accuracy (nDCG@10: 0.656 vs 0.628)
  • Qwen3 Embedding 0.6B is 410ms faster on average
  • Gemini Embedding 2 has a 23.9% higher win rate

Overview

Key metrics

ELO Rating

Overall ranking quality

Gemini Embedding 2

1605

Qwen3 Embedding 0.6B

1420

Win Rate

Head-to-head performance

Gemini Embedding 2

59.5%

Qwen3 Embedding 0.6B

35.7%

Accuracy (nDCG@10)

Ranking quality metric

Gemini Embedding 2

0.628

Qwen3 Embedding 0.6B

0.656

Average Latency

Response time

Gemini Embedding 2

435ms

Qwen3 Embedding 0.6B

25ms

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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 0.6BDescription
Overall Performance
ELO Rating
1605
1420
Overall ranking quality based on pairwise comparisons
Win Rate
59.5%
35.7%
Percentage of comparisons won against other models
Pricing & Availability
Price per 1M tokens
$0.000
$0.010
Cost per million tokens processed
Dimensions
3072
1024
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
0.656
Normalized discounted cumulative gain at position 10
Performance Metrics
Avg Latency
435ms
25ms
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.

Get started freeRead the docs 
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 0.6BDescription
Accuracy Metrics
nDCG@5
0.843
0.755
Ranking quality at top 5 results
nDCG@10
0.835
0.755
Ranking quality at top 10 results
Recall@5
0.763
0.591
% of relevant docs in top 5
Recall@10
0.816
0.683
% of relevant docs in top 10
Latency Metrics
Mean
466ms
19ms
Average response time
P50
454ms
19ms
50th percentile (median)
P90
605ms
19ms
90th percentile

MSMARCO

MetricGemini Embedding 2Qwen3 Embedding 0.6BDescription
Accuracy Metrics
nDCG@5
0.956
0.943
Ranking quality at top 5 results
nDCG@10
0.939
0.933
Ranking quality at top 10 results
Recall@5
0.122
0.122
% of relevant docs in top 5
Recall@10
0.221
0.215
% of relevant docs in top 10
Latency Metrics
Mean
441ms
15ms
Average response time
P50
446ms
15ms
50th percentile (median)
P90
584ms
15ms
90th percentile

SciFact

MetricGemini Embedding 2Qwen3 Embedding 0.6BDescription
Accuracy Metrics
nDCG@5
0.871
0.658
Ranking quality at top 5 results
nDCG@10
0.871
0.666
Ranking quality at top 10 results
Recall@5
0.959
0.718
% of relevant docs in top 5
Recall@10
0.959
0.779
% of relevant docs in top 10
Latency Metrics
Mean
404ms
62ms
Average response time
P50
360ms
62ms
50th percentile (median)
P90
537ms
62ms
90th percentile

DBPedia

MetricGemini Embedding 2Qwen3 Embedding 0.6BDescription
Accuracy Metrics
nDCG@5
0.788
0.716
Ranking quality at top 5 results
nDCG@10
0.792
0.730
Ranking quality at top 10 results
Recall@5
0.061
0.053
% of relevant docs in top 5
Recall@10
0.120
0.105
% of relevant docs in top 10
Latency Metrics
Mean
436ms
13ms
Average response time
P50
432ms
13ms
50th percentile (median)
P90
592ms
13ms
90th percentile

business reports

MetricGemini Embedding 2Qwen3 Embedding 0.6BDescription
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
21ms
Average response time
P50
431ms
21ms
50th percentile (median)
P90
603ms
21ms
90th percentile

ARCD

MetricGemini Embedding 2Qwen3 Embedding 0.6BDescription
Accuracy Metrics
nDCG@5
0.868
0.757
Ranking quality at top 5 results
nDCG@10
0.875
0.763
Ranking quality at top 10 results
Recall@5
0.940
0.880
% of relevant docs in top 5
Recall@10
0.960
0.900
% of relevant docs in top 10
Latency Metrics
Mean
410ms
18ms
Average response time
P50
359ms
18ms
50th percentile (median)
P90
586ms
18ms
90th percentile

Explore More

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