GPT-5.2 Pro
GPT-5.2 Pro is OpenAI's 2025 flagship reasoning model featuring Extended Thinking for SOTA performance in mathematics, coding, and expert knowledge work.
openaiGPT-52025-12-11About GPT-5.2 Pro
Learn about GPT-5.2 Pro's capabilities, features, and how it can help you achieve better results.
A New Standard in Reasoned Intelligence
GPT-5.2 Pro represents the high-compute tier of OpenAI's reasoning-focused models. It is specifically engineered for enterprise workflows that require PhD-level scientific research and complex logical inference. Unlike standard language models, it utilizes a sophisticated inference-time compute architecture that allows users to scale the model's thinking effort. This enables the system to internally decompose problems, verify its own logic, and override statistical priors that often lead to errors in smaller models.
Specialized for Technical Precision
While sharing core training with the broader GPT-5 family, the Pro variant is distinguished by its massive 400,000 token context window and significantly lower hallucination rates. It has been documented as a reliable collaborator in theoretical physics and high-stakes mathematical proofs. Its performance on contamination-resistant benchmarks like ARC-AGI-2 and GPQA Diamond establishes it as a primary process engine for autonomous agents that must handle multi-step, technical instructions without human intervention.
Enterprise Performance and Output
The model is characterized by its strict adherence to complex instructions and professional conversational tone. It is the first model to consistently outperform human industry experts with over 14 years of experience on specialized work task benchmarks. With a generation capacity of up to 128,000 tokens, it marks a significant shift away from the laziness observed in previous generations, making it capable of producing entire code modules or exhaustive research reports in a single pass.
Use Cases
Discover the different ways you can use GPT-5.2 Pro to achieve great results.
Autonomous Software Engineering
Resolving complex, multi-file GitHub issues and executing full-module refactoring with an 84.5% success rate on SWE-Bench Verified.
Olympiad Mathematics
Solving 100% of AIME 2025 competition problems and contributing original proofs to open questions in statistical learning theory.
Enterprise Agent Orchestration
Functioning as a high-compute process engine that can sequence dozens of tools to handle multi-step financial modeling and logistics.
PhD-Level Science Research
Analyzing physics, chemistry, and biology problems with a 93.2% GPQA score, surpassing many human subject-matter experts.
Long-Context Document Synthesis
Ingesting up to 400,000 tokens of archival data to generate comprehensive legal reports or technical manuals.
Interactive 3D Simulation
Generating multi-thousand line 3D simulations in Three.js or C++, including complex particle physics and mechanical logic.
Strengths
Limitations
API Quick Start
openai/gpt-5.2-pro
import OpenAI from 'openai';
const openai = new OpenAI();
async function main() {
const completion = await openai.chat.completions.create({
model: 'gpt-5.2-pro',
messages: [{ role: 'user', content: 'Design a leveraged buyout model for a take-private project.' }],
reasoning_effort: 'xhigh',
stream: true,
});
for await (const chunk of completion) {
process.stdout.write(chunk.choices[0]?.delta?.content || '');
}
}
main();Install the SDK and start making API calls in minutes.
Community Feedback
See what the community thinks about GPT-5.2 Pro
“The reasoning was present; the conclusion simply didn’t follow. If that doesn’t make you pause, it should.”
“GPT-5.2 Pro derived a new result in theoretical physics that survived expert scrutiny, something 5.1 couldn't do.”
“GPT-5.2 Pro is beginning to look like a junior engineer that can own a non-trivial slice of the issue tracker.”
“OpenAI admits the Pro model lacks memory. It's devastating for me as an academic.”
“The logic is flawless but the latency makes it feel like I'm collaborating with a very slow genius.”
“Finally, a model that doesn't hallucinate its way through a simple tensor contraction.”
Related Videos
Watch tutorials, reviews, and discussions about GPT-5.2 Pro
“This is the GPT 5.2 extra high kind of thinking.”
“The clocks will all be counting down from 2 hours. This is GPT 5.2 extra highs, but then I also wanted to use the new 5.2 medium, which is kind of what they have as recommended. And then I've”
“They cannot complete it, right? You cannot give it a superhumansized PRD these days and expect it to absolutely knock it out of the park. But boy, do”
“There is now a selectable thinking time option here.”
“And if we are to look at the simple bit of information we have about it here, the price definitely reflects that form of intelligence being that the input and output price here per million tokens is extremely extremely steep. Regardless of”
“chat GPT 5.2 Pro. Overall, I'm going to echo a sentiment I shared previously in this video at some point where it's very, very smart, but it seems inconsistent in terms of how well it produces functional results. Sometimes”
“That's a 390x efficiency improvement in one year.”
“is obnoxious how slow the GPT5 series is, especially if you take advantage of some of the fancy pro model stuff, which like I've had the Pro models take 30 to 50 minutes to respond to things. It's”
“then there's the 5.2 Pro pricing, which makes me feel sick. $21 per mill in and 168 per mill out. A new groundbreakingly high price for a model. bit more of the”
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Pro Tips
Expert tips to help you get the most out of GPT-5.2 Pro and achieve better results.
Scale Reasoning Effort
Use the reasoning_effort API parameter and set it to xhigh for tasks where logical consistency is more important than generation speed.
Address Statistical Priors
If the model falls into common-sense traps, provide a context nudge to activate its active reasoning layer and override its base training.
Utilize Massive Output
Request entire project directories or complete documentation files in one prompt to take advantage of the 128K output budget.
Leverage Tool Integration
Always enable function calling for vision tasks; the model's multimodal performance jumps when it can use tools to verify visual data.
Testimonials
What Our Users Say
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Frequently Asked Questions
Find answers to common questions about GPT-5.2 Pro