Gemini 2.5 Pro vs Gemini 3 Flash

Detailed comparison between Gemini 2.5 Pro and Gemini 3 Flash for RAG applications. See which LLM best meets your accuracy, performance, and cost needs.

Model Comparison

Gemini 3 Flash takes the lead.

Both Gemini 2.5 Pro and Gemini 3 Flash are powerful language models designed for RAG applications. However, their performance characteristics differ in important ways.

Why Gemini 3 Flash:

  • Gemini 3 Flash has 207 higher ELO rating
  • Gemini 3 Flash is 7.4s faster on average
  • Gemini 3 Flash has a 28.7% higher win rate

Overview

Key metrics

ELO Rating

Overall ranking quality

Gemini 2.5 Pro

1400

Gemini 3 Flash

1607

Win Rate

Head-to-head performance

Gemini 2.5 Pro

32.3%

Gemini 3 Flash

61.0%

Quality Score

Overall quality metric

Gemini 2.5 Pro

4.90

Gemini 3 Flash

4.95

Average Latency

Response time

Gemini 2.5 Pro

15199ms

Gemini 3 Flash

7802ms

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 2.5 ProGemini 3 FlashDescription
Overall Performance
ELO Rating
1400
1607
Overall ranking quality based on pairwise comparisons
Win Rate
32.3%
61.0%
Percentage of comparisons won against other models
Quality Score
4.90
4.95
Average quality across all RAG metrics
Pricing & Context
Input Price per 1M
$1.25
$0.50
Cost per million input tokens
Output Price per 1M
$10.00
$3.00
Cost per million output tokens
Context Window
1049K
1049K
Maximum context window size
Release Date
2025-06-17
2025-12-17
Model release date
Performance Metrics
Avg Latency
15.2s
7.8s
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 2.5 ProGemini 3 FlashDescription
Quality Metrics
Correctness
4.90
4.83
Factual accuracy of responses
Faithfulness
4.93
4.87
Adherence to source material
Grounding
4.93
4.87
Citations and context usage
Relevance
5.00
5.00
Query alignment and focus
Completeness
4.90
4.90
Coverage of all aspects
Overall
4.93
4.89
Average across all metrics
Latency Metrics
Mean
12449ms
6852ms
Average response time
Min7629ms3389msFastest response time
Max23066ms9837msSlowest response time

PG

MetricGemini 2.5 ProGemini 3 FlashDescription
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
5.00
Coverage of all aspects
Overall
5.00
5.00
Average across all metrics
Latency Metrics
Mean
17834ms
9444ms
Average response time
Min11067ms5346msFastest response time
Max49308ms12549msSlowest response time

SciFact

MetricGemini 2.5 ProGemini 3 FlashDescription
Quality Metrics
Correctness
4.80
5.00
Factual accuracy of responses
Faithfulness
4.83
5.00
Adherence to source material
Grounding
4.80
5.00
Citations and context usage
Relevance
4.77
4.97
Query alignment and focus
Completeness
4.63
4.83
Coverage of all aspects
Overall
4.77
4.96
Average across all metrics
Latency Metrics
Mean
15314ms
7110ms
Average response time
Min8817ms3784msFastest response time
Max35365ms18224msSlowest 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.