GPT-5.2 vs GPT-5.4 Pro
Detailed comparison between GPT-5.2 and GPT-5.4 Pro 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
GPT-5.2 takes the lead.
Both GPT-5.2 and GPT-5.4 Pro are powerful language models designed for RAG applications. However, their performance characteristics differ in important ways.
Why GPT-5.2:
- GPT-5.2 has 160 higher ELO rating
- GPT-5.2 is 70.3s faster on average
- GPT-5.2 has a 15.5% higher win rate
Overview
Key metrics
ELO Rating
Overall ranking quality
GPT-5.2
GPT-5.4 Pro
Win Rate
Head-to-head performance
GPT-5.2
GPT-5.4 Pro
Quality Score
Overall quality metric
GPT-5.2
GPT-5.4 Pro
Average Latency
Response time
GPT-5.2
GPT-5.4 Pro
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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
| Metric | GPT-5.2 | GPT-5.4 Pro | Description |
|---|---|---|---|
| Overall Performance | |||
| ELO Rating | 1491 | 1330 | Overall ranking quality based on pairwise comparisons |
| Win Rate | 40.1% | 24.6% | Percentage of comparisons won against other models |
| Quality Score | 4.97 | 4.94 | Average quality across all RAG metrics |
| Pricing & Context | |||
| Input Price per 1M | $1.75 | $30.00 | Cost per million input tokens |
| Output Price per 1M | $14.00 | $180.00 | Cost per million output tokens |
| Context Window | 400K | 1050K | Maximum context window size |
| Release Date | 2025-12-11 | 2026-03-05 | Model release date |
| Performance Metrics | |||
| Avg Latency | 5.4s | 75.7s | Average response time across all datasets |
Build RAG in Minutes, Not Months
Agentset gives you a complete RAG API with top-ranked LLMs and smart retrieval built in. Upload your data, call the API, and get grounded answers from day one.
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 benchmark
Comprehensive comparison of RAG quality metrics (correctness, faithfulness, grounding, relevance, completeness) and latency for each benchmark dataset.
MSMARCO
| Metric | GPT-5.2 | GPT-5.4 Pro | Description |
|---|---|---|---|
| Quality Metrics | |||
| Correctness | 5.00 | 4.97 | Factual accuracy of responses |
| Faithfulness | 5.00 | 5.00 | Adherence to source material |
| Grounding | 5.00 | 5.00 | Citations and context usage |
| Relevance | 4.97 | 4.93 | Query alignment and focus |
| Completeness | 4.83 | 4.73 | Coverage of all aspects |
| Overall | 4.96 | 4.93 | Average across all metrics |
| Latency Metrics | |||
| Mean | 2652ms | 68388ms | Average response time |
| Min | 796ms | 8911ms | Fastest response time |
| Max | 5810ms | 165229ms | Slowest response time |
PG
| Metric | GPT-5.2 | GPT-5.4 Pro | Description |
|---|---|---|---|
| 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 | 4.97 | 5.00 | Query alignment and focus |
| Completeness | 4.97 | 4.97 | Coverage of all aspects |
| Overall | 4.99 | 4.99 | Average across all metrics |
| Latency Metrics | |||
| Mean | 8702ms | 156451ms | Average response time |
| Min | 2755ms | 57901ms | Fastest response time |
| Max | 14361ms | 250411ms | Slowest response time |
SciFact
| Metric | GPT-5.2 | GPT-5.4 Pro | Description |
|---|---|---|---|
| Quality Metrics | |||
| Correctness | 4.93 | 4.87 | Factual accuracy of responses |
| Faithfulness | 5.00 | 4.90 | Adherence to source material |
| Grounding | 5.00 | 4.87 | Citations and context usage |
| Relevance | 5.00 | 4.93 | Query alignment and focus |
| Completeness | 4.80 | 4.87 | Coverage of all aspects |
| Overall | 4.95 | 4.89 | Average across all metrics |
| Latency Metrics | |||
| Mean | 4785ms | 2148ms | Average response time |
| Min | 1318ms | 1111ms | Fastest response time |
| Max | 10172ms | 3838ms | Slowest response time |
Explore More
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