Gemini 3 Flash vs Claude Opus 4.5

Detailed comparison between Gemini 3 Flash and Claude Opus 4.5 for RAG applications. See which LLM best meets your accuracy, performance, and cost needs.

Model Comparison

Gemini 3 Flash takes the lead.

Both Gemini 3 Flash and Claude Opus 4.5 are powerful language models designed for RAG applications. However, their performance characteristics differ in important ways.

Why Gemini 3 Flash:

  • Gemini 3 Flash has 31 higher ELO rating
  • Gemini 3 Flash has a 8.2% higher win rate

Overview

Key metrics

ELO Rating

Overall ranking quality

Gemini 3 Flash

1607

Claude Opus 4.5

1576

Win Rate

Head-to-head performance

Gemini 3 Flash

61.0%

Claude Opus 4.5

52.8%

Quality Score

Overall quality metric

Gemini 3 Flash

4.95

Claude Opus 4.5

4.92

Average Latency

Response time

Gemini 3 Flash

7802ms

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

MetricGemini 3 FlashClaude Opus 4.5Description
Overall Performance
ELO Rating
1607
1576
Overall ranking quality based on pairwise comparisons
Win Rate
61.0%
52.8%
Percentage of comparisons won against other models
Quality Score
4.95
4.92
Average quality across all RAG metrics
Pricing & Context
Input Price per 1M
$0.50
$5.00
Cost per million input tokens
Output Price per 1M
$3.00
$25.00
Cost per million output tokens
Context Window
1049K
200K
Maximum context window size
Release Date
2025-12-17
2025-11-24
Model release date
Performance Metrics
Avg Latency
7.8s
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

MetricGemini 3 FlashClaude Opus 4.5Description
Quality Metrics
Correctness
4.83
4.97
Factual accuracy of responses
Faithfulness
4.87
4.97
Adherence to source material
Grounding
4.87
4.97
Citations and context usage
Relevance
5.00
4.97
Query alignment and focus
Completeness
4.90
4.97
Coverage of all aspects
Overall
4.89
4.97
Average across all metrics
Latency Metrics
Mean
6852ms
5992ms
Average response time
Min3389ms2590msFastest response time
Max9837ms8072msSlowest response time

PG

MetricGemini 3 FlashClaude Opus 4.5Description
Quality Metrics
Correctness
5.00
5.00
Factual accuracy of responses
Faithfulness
5.00
5.00
Adherence to source material
Grounding
5.00
5.00
Citations and context usage
Relevance
5.00
5.00
Query alignment and focus
Completeness
5.00
4.93
Coverage of all aspects
Overall
5.00
4.99
Average across all metrics
Latency Metrics
Mean
9444ms
11489ms
Average response time
Min5346ms7945msFastest response time
Max12549ms15934msSlowest response time

SciFact

MetricGemini 3 FlashClaude Opus 4.5Description
Quality Metrics
Correctness
5.00
4.70
Factual accuracy of responses
Faithfulness
5.00
4.80
Adherence to source material
Grounding
5.00
4.77
Citations and context usage
Relevance
4.97
4.97
Query alignment and focus
Completeness
4.83
4.70
Coverage of all aspects
Overall
4.96
4.79
Average across all metrics
Latency Metrics
Mean
7110ms
7276ms
Average response time
Min3784ms4210msFastest response time
Max18224ms10496msSlowest response time

Explore More

Compare more LLMs

See how all LLMs stack up for RAG applications. Compare GPT-5, Claude, Gemini, and more. View comprehensive benchmarks and find the perfect LLM for your needs.