
GPT-5.1
GPT-5.1 is OpenAI’s advanced reasoning flagship featuring adaptive thinking, native multimodality, and state-of-the-art performance in math and technical...
About GPT-5.1
Learn about GPT-5.1's capabilities, features, and how it can help you achieve better results.
Reasoning Architecture
GPT-5.1 features a System 2 thinking architecture. This allows the model to adjust its processing time based on the complexity of the query. For mathematical proofs, it applies deep logical deductions, while simple conversational tasks maintain low latency. The adaptive reasoning system ensures compute is allocated where it provides the most value.
Multimodal Performance
The model uses an omni multimodal framework for text and vision inputs. It provides 84% lower latency on enterprise document extraction tasks compared to its predecessor. Improved memory retention ensures that context is maintained throughout long-horizon agentic workflows, making it suitable for large-scale software engineering projects.
Personalization Systems
A new engine enables tone and trait steering. Users can configure the model to be professional, casual, or expressive through explicit system instructions. These traits allow developers to deploy bots that better match specific brand identities and user preferences without extensive few-shot prompting.

Use Cases
Discover the different ways you can use GPT-5.1 to achieve great results.
Agentic Software Engineering
The model automates complex refactors across large codebases using high-accuracy reasoning.
PhD-Level Research
It solves intricate problems in biology and physics that require verified multi-step deductions.
Enterprise Document Analysis
The system extracts structured data from massive sets of tabular documents with high visual precision.
Personalized Customer Support
Developers deploy bots with specific brand traits like quirky or professional to match user sentiment.
Mathematical Problem Solving
The model utilizes its 99.6% AIME scores to verify proofs and tutor students in advanced mathematics.
Vision-Based Business Intelligence
It analyzes complex charts and financial reports to generate executive summaries with visual context.
Strengths
Limitations
API Quick Start
openai/gpt-5.1
import OpenAI from 'openai';
const openai = new OpenAI();
const response = await openai.chat.completions.create({
model: "gpt-5.1",
messages: [{ role: "user", content: "Analyze the security of this smart contract." }],
reasoning_effort: "high",
});
console.log(response.choices[0].message.content);Install the SDK and start making API calls in minutes.
Community Feedback
See what the community thinks about GPT-5.1
“GPT-5.1 etc in Codex is still the best reviewer for planning and code review tasks.”
“Our evals found GPT-5 performed up to 190% better than other leading models in complex reasoning.”
“GPT-5.1 is better calibrated to prompt difficulty, consuming far fewer tokens on easy inputs.”
“This release is all about the personality and making ChatGPT feel less clinical and sterile.”
“The 400k context window is a lifesaver for our entire repo analysis.”
“Still no native audio is a bummer, but the reasoning gains are real.”
Related Videos
Watch tutorials, reviews, and discussions about GPT-5.1
“GPT 5.1 is here. It is faster. It is more accurate. It is more conversational.”
“For the first time, GPT 5.1 Instant can use adaptive reasoning to decide when to think.”
“The logic here is significantly better than the standard GPT 5 model.”
“It manages to maintain a warmer tone than we saw in the previous preview versions.”
“If you are a developer, the extended prompt caching is going to save you a ton of money.”
“It's even more personalizable than ever before.”
“The tone sounds a lot more natural... 5.1 is much better for energy.”
“I noticed it doesn't hallucinate as much during complex workflow steps.”
“The speed of the instant mode is almost equivalent to GPT 4o mini but with more smarts.”
“Personalization features mean you can actually tell it to stop being so formal.”
“This is probably one of the most relaxed iterative updates to a Frontier AI model.”
“It produced a successful bumper car game result compared to GPT5 thinking.”
“The vision processing on handwritten documents is noticeably sharper.”
“I think the reasoning effort toggle is the best feature for managing API costs.”
“It finally feels like a model you can talk to without it sounding like a textbook.”
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Pro Tips
Expert tips to help you get the most out of GPT-5.1 and achieve better results.
Adjust Reasoning Effort
Use the reasoning_effort parameter to set the thinking level to high for math but none for simple chat to save on latency.
Leverage Large Context
Utilize the 400k context window for entire project folders since the model retains information well in long prompts.
Tone Steering
Enable tone traits in your system instructions to make the model sound less clinical and more like a teammate.
Prompt Caching
Take advantage of 24-hour prompt caching to reduce costs when running repetitive agentic loops on the same codebase.
Testimonials
What Our Users Say
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Frequently Asked Questions
Find answers to common questions about GPT-5.1