GPT-5.2
400K context with state-of-the-art long-horizon reasoning and tool-calling for complex multi-step projects. Near 100% accuracy on long-context retrieval tasks (4-needle MRCR to 256k tokens) and 98.7% on multi-turn tool usage. Designed for professional knowledge work with stronger vision, coding, and document analysis capabilities. If you want to compare the best LLMs for your data, try Agentset.
Model Information
- Provider
- OpenAI
- License
- Proprietary
- Input Price per 1M
- $1.75
- Output Price per 1M
- $14.00
- Context Window
- 400K
- Release Date
- 2025-12-11
- Model Name
- gpt-5.2
- Total Evaluations
- 1350
Performance Record
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Performance Overview
ELO ratings by dataset
GPT-5.2's ELO performance varies across different benchmark datasets, showing its strengths in specific domains.
GPT-5.2 - ELO by Dataset
Detailed Metrics
Dataset breakdown
Performance metrics across different benchmark datasets, including accuracy and latency percentiles.
SciFact
Quality Metrics
- Correctness
- 4.93
- Faithfulness
- 5.00
- Grounding
- 5.00
- Relevance
- 5.00
- Completeness
- 4.80
- Overall
- 4.95
Latency Distribution
- Mean
- 4785ms
- Min
- 1318ms
- Max
- 10172ms
MSMARCO
Quality Metrics
- Correctness
- 5.00
- Faithfulness
- 5.00
- Grounding
- 5.00
- Relevance
- 4.97
- Completeness
- 4.83
- Overall
- 4.96
Latency Distribution
- Mean
- 2652ms
- Min
- 796ms
- Max
- 5810ms
PG
Quality Metrics
- Correctness
- 5.00
- Faithfulness
- 5.00
- Grounding
- 5.00
- Relevance
- 4.97
- Completeness
- 4.97
- Overall
- 4.99
Latency Distribution
- Mean
- 8702ms
- Min
- 2755ms
- Max
- 14361ms
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);
}Compare Models
See how it stacks up
Compare GPT-5.2 with other top llms to understand the differences in performance, accuracy, and latency.