Gemini 3 Flash vs GPT-5.4

Detailed comparison between Gemini 3 Flash and GPT-5.4 for RAG applications. See which LLM best meets your accuracy, performance, and cost needs. If you want to compare these models on your data, try Agentset.

Model Comparison

Gemini 3 Flash takes the lead.

Both Gemini 3 Flash and GPT-5.4 are powerful language models designed for RAG applications. However, their performance characteristics differ in important ways.

Why Gemini 3 Flash:

  • Gemini 3 Flash has 153 higher ELO rating
  • Gemini 3 Flash has a 28.7% higher win rate

Overview

Key metrics

ELO Rating

Overall ranking quality

Gemini 3 Flash

1571

GPT-5.4

1418

Win Rate

Head-to-head performance

Gemini 3 Flash

60.6%

GPT-5.4

31.9%

Quality Score

Overall quality metric

Gemini 3 Flash

4.95

GPT-5.4

4.93

Average Latency

Response time

Gemini 3 Flash

7802ms

GPT-5.4

3108ms

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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 FlashGPT-5.4Description
Overall Performance
ELO Rating
1571
1418
Overall ranking quality based on pairwise comparisons
Win Rate
60.6%
31.9%
Percentage of comparisons won against other models
Quality Score
4.95
4.93
Average quality across all RAG metrics
Pricing & Context
Input Price per 1M
$0.50
$2.50
Cost per million input tokens
Output Price per 1M
$3.00
$15.00
Cost per million output tokens
Context Window
1049K
1050K
Maximum context window size
Release Date
2025-12-17
2026-03-05
Model release date
Performance Metrics
Avg Latency
7.8s
3.1s
Average response time across all datasets

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  "What is multi-head attention?"
);

for (const result of results) {
  console.log(result.text);
}

Dataset Performance

By benchmark

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

MSMARCO

MetricGemini 3 FlashGPT-5.4Description
Quality Metrics
Correctness
4.80
4.97
Factual accuracy of responses
Faithfulness
4.83
4.97
Adherence to source material
Grounding
4.83
4.97
Citations and context usage
Relevance
5.00
4.93
Query alignment and focus
Completeness
4.87
4.80
Coverage of all aspects
Overall
4.87
4.93
Average across all metrics
Latency Metrics
Mean
6852ms
1861ms
Average response time
Min3389ms888msFastest response time
Max9837ms3548msSlowest response time

PG

MetricGemini 3 FlashGPT-5.4Description
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
9444ms
5296ms
Average response time
Min5346ms2948msFastest response time
Max12549ms17651msSlowest response time

SciFact

MetricGemini 3 FlashGPT-5.4Description
Quality Metrics
Correctness
5.00
4.87
Factual accuracy of responses
Faithfulness
5.00
4.87
Adherence to source material
Grounding
5.00
4.87
Citations and context usage
Relevance
4.97
4.93
Query alignment and focus
Completeness
4.87
4.80
Coverage of all aspects
Overall
4.97
4.87
Average across all metrics
Latency Metrics
Mean
7110ms
2165ms
Average response time
Min3784ms1207msFastest response time
Max18224ms4297msSlowest response time

Explore More

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