GPT-5.4
GPT-5.4 is OpenAI's frontier model featuring a 1.05M context window and Extreme Reasoning. It excels at autonomous UI interaction and long-form data analysis.
openaiGPT-5March 4, 2026About GPT-5.4
Learn about GPT-5.4's capabilities, features, and how it can help you achieve better results.
The Frontier of Long-Context Reasoning
GPT-5.4 represents the high-performance evolution of the GPT-5 series, characterized by its industry-leading 1.05-million-token context window. This model is specifically engineered to handle expansive datasets, such as massive code repositories or multi-year historical logs, without losing the ability to perform high-fidelity reasoning. A standout feature is the interactive "Mid-Response Steering," which allows users to visually monitor and adjust the model's thinking plan in real-time, ensuring the output perfectly aligns with complex, multi-step intents.
Unified Intelligence and Autonomous Action
Technically, GPT-5.4 unifies the world-class coding strengths of the previous Codex-specific branches with the creative nuances of the standard GPT-5 series. It features a specialized "Thinking" mode with adjustable effort levels (Standard, Extended, and Heavy) that utilizes reinforced chain-of-thought processing to solve PhD-level science and logic problems. Beyond text, GPT-5.4 introduces native computer use capabilities, achieving a 75% score on OSWorld-Verified tasks by interpreting high-fidelity visual screenshots and executing coordinate-based clicks.
Efficiency and Reliability
OpenAI reports a significant 33% decrease in claim-level errors compared to its predecessors, making GPT-5.4 a premier choice for autonomous agents and high-stakes decision support. Despite its power, it is engineered for token and energy efficiency, allowing for cheaper long-context processing than previous iterations. Whether managing an entire enterprise codebase or acting as an autonomous scheduling agent, GPT-5.4 sets a new standard for reliability and agentic performance in the generative AI landscape.
Use Cases for GPT-5.4
Discover the different ways you can use GPT-5.4 to achieve great results.
Large Codebase Refactoring
Ingesting and analyzing hundreds of source files simultaneously to ensure cross-module consistency and identify deep semantic bugs across entire repositories.
Autonomous Agentic Scheduling
Interacting with email and calendars via visual grounding to autonomously coordinate complex event schedules and send follow-up communications.
High-Fidelity Architectural Design
Generating intricate 3D scenes and structural plans, such as functional subway stations, using over 1,000 lines of precise, simulation-ready code.
Long-Horizon Scientific Planning
Utilizing Extreme Reasoning to solve PhD-level scientific problems and perform multi-step analysis requiring hours of consistent state management.
Cybersecurity Incident Investigation
Processing vast quantities of raw log data within a single 1.05M context session to autonomously identify, investigate, and report security breaches.
Interactive Mid-Response Steering
Correcting the model's course during the internal 'thinking' phase to adjust architectural choices or logic paths without needing to restart the prompt.
Strengths
Limitations
API Quick Start
openai/gpt-5.4
import OpenAI from 'openai';
const openai = new OpenAI();
async function main() {
const completion = await openai.chat.completions.create({
model: "gpt-5.4",
messages: [{ role: "user", content: "Analyze this 1.05M token log file for security threats." }],
reasoning_effort: "heavy",
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.
What People Are Saying About GPT-5.4
See what the community thinks about GPT-5.4
“GPT-5 is making a brutally-crushing comeback... every single line of code it generated was fully working.”
“The marquee feature is obviously the 1M context window, compared to the ~200k other models support.”
“Wow, GPT 5.4 is insanely good. It should be a step bump 6.0. Hard to believe Codex has come this far.”
“GPT-5.4 extra high scores 94.0 on NYT Connections. It just gets stuff right, first try.”
“GPT-5.4 is now on the Artificial Analysis Intelligence Index... Tied with Gemini 3.1 Pro.”
“The reasoning depth is finally at the level where it can handle enterprise-scale architectural problems.”
Videos About GPT-5.4
Watch tutorials, reviews, and discussions about GPT-5.4
“A 1 million 50,000 token context window... this is a very long context window.”
“In 5 minutes and 22 seconds of thinking, we then received our result... it did test this more in an agentic manner.”
“Updating the ability of this to look at high-fidelity images... up to 10.24 million total pixels.”
“The model actually performs research across the web to verify its own logic.”
“This is a massive leap for agentic workflows where state needs to persist.”
“GPT 5.4 has everything... they basically said, okay, 5.2 and GPT 5.3 Codex. Go ahead, have a baby.”
“The coding capabilities are ridiculous. It's essentially flawless.”
“Front-end taste is far behind Opus 4.6 and Gemini 3.1 Pro.”
“It feels like it has a much better understanding of nuanced developer intent.”
“The price point is competitive considering the 1M token window size.”
“It's clearly putting pressure on OpenAI to respond with a model that matches that 1 million context capability.”
“In a single shot, the fact that this model is able to create this Minecraft clone is just remarkable.”
“We are seeing a 33 percent reduction in factual hallucination rates.”
“The reasoning modes are categorized into Standard, Extended, and Heavy levels.”
“The visual grounding on the OSWorld benchmark is just industry leading right now.”
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Pro Tips for GPT-5.4
Expert tips to help you get the most out of GPT-5.4 and achieve better results.
Toggle Reasoning Effort
Use Standard, Extended, or Heavy reasoning efforts depending on the task's complexity to balance computational cost and output quality.
Monitor the Upfront Plan
When using the Thinking variant, watch the upfront plan; you can intervene mid-generation if the model's proposed logic path seems flawed.
Strategic Prompt Caching
Place large, static context blocks at the beginning of your prompt to take advantage of OpenAI's automatic prompt caching for cost savings.
Manage Context Stability
While the 1.05M window is robust, performance is reported to be most stable within the first 256K tokens; keep critical summaries near the prompt end.
Testimonials
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Frequently Asked Questions About GPT-5.4
Find answers to common questions about GPT-5.4