Qwen3 30B A3B Thinking vs Claude Opus 4.5

Detailed comparison between Qwen3 30B A3B Thinking and Claude Opus 4.5 for RAG applications. See which LLM best meets your accuracy, performance, and cost needs.

Model Comparison

Claude Opus 4.5 takes the lead.

Both Qwen3 30B A3B Thinking and Claude Opus 4.5 are powerful language models designed for RAG applications. However, their performance characteristics differ in important ways.

Why Claude Opus 4.5:

  • Claude Opus 4.5 has 288 higher ELO rating
  • Claude Opus 4.5 is 4.1s faster on average
  • Claude Opus 4.5 has a 24.2% higher win rate

Overview

Key metrics

ELO Rating

Overall ranking quality

Qwen3 30B A3B Thinking

1331

Claude Opus 4.5

1619

Win Rate

Head-to-head performance

Qwen3 30B A3B Thinking

31.9%

Claude Opus 4.5

56.0%

Quality Score

Overall quality metric

Qwen3 30B A3B Thinking

4.90

Claude Opus 4.5

4.91

Average Latency

Response time

Qwen3 30B A3B Thinking

12312ms

Claude Opus 4.5

8252ms

Visual Performance Analysis

Performance

ELO Rating Comparison

Win/Loss/Tie Breakdown

Quality Across Datasets (Overall Score)

Latency Distribution (ms)

Breakdown

How the models stack up

MetricQwen3 30B A3B ThinkingClaude Opus 4.5Description
Overall Performance
ELO Rating
1331
1619
Overall ranking quality based on pairwise comparisons
Win Rate
31.9%
56.0%
Percentage of comparisons won against other models
Quality Score
4.90
4.91
Average quality across all RAG metrics
Pricing & Context
Input Price per 1M
$0.05
$5.00
Cost per million input tokens
Output Price per 1M
$0.34
$25.00
Cost per million output tokens
Context Window
33K
200K
Maximum context window size
Release Date
2025-08-28
2025-11-24
Model release date
Performance Metrics
Avg Latency
12.3s
8.3s
Average response time across all datasets

Dataset Performance

By benchmark

Comprehensive comparison of RAG quality metrics (correctness, faithfulness, grounding, relevance, completeness) and latency for each benchmark dataset.

MSMARCO

MetricQwen3 30B A3B ThinkingClaude Opus 4.5Description
Quality Metrics
Correctness
4.90
4.97
Factual accuracy of responses
Faithfulness
4.90
4.97
Adherence to source material
Grounding
4.90
4.97
Citations and context usage
Relevance
5.00
4.97
Query alignment and focus
Completeness
4.80
4.97
Coverage of all aspects
Overall
4.90
4.97
Average across all metrics
Latency Metrics
Mean
12522ms
5992ms
Average response time
Min1541ms2590msFastest response time
Max49799ms8072msSlowest response time

PG

MetricQwen3 30B A3B ThinkingClaude Opus 4.5Description
Quality Metrics
Correctness
4.90
4.93
Factual accuracy of responses
Faithfulness
4.87
4.93
Adherence to source material
Grounding
4.87
4.93
Citations and context usage
Relevance
4.93
4.93
Query alignment and focus
Completeness
4.77
4.80
Coverage of all aspects
Overall
4.87
4.91
Average across all metrics
Latency Metrics
Mean
16030ms
11489ms
Average response time
Min3483ms7945msFastest response time
Max44237ms15934msSlowest response time

SciFact

MetricQwen3 30B A3B ThinkingClaude Opus 4.5Description
Quality Metrics
Correctness
4.97
4.73
Factual accuracy of responses
Faithfulness
4.97
4.80
Adherence to source material
Grounding
4.93
4.80
Citations and context usage
Relevance
5.00
4.97
Query alignment and focus
Completeness
4.83
4.70
Coverage of all aspects
Overall
4.94
4.80
Average across all metrics
Latency Metrics
Mean
8384ms
7276ms
Average response time
Min2185ms4210msFastest response time
Max19414ms10496msSlowest response time

Explore More

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