With GPT-5 launch and availability for its 700 million team users, OpenAI is planning to continue leading AI Innovation and Application

On August 7, 2025, OpenAI officially released GPT-5, a massive leap forward in large language models. Positioned as the successor to GPT-4, GPT-5 is a multimodal, generative pre-trained transformer that integrates reasoning capabilities and non-reasoning functionality into a single, unified interface.This new model represents a significant evolution, moving beyond a mere chatbot to become a more intelligent, reliable, and versatile AI assistant.

How GPT-5 is More Powerful than Previous Models

New Model introduces a number of key advancements that make it superior to its predecessors, including a dramatic reduction in hallucinations, improved reasoning, and a unified architecture.

• Advanced Reasoning and Reduced Hallucinations: OpenAI’s GPT-5 has been trained to “think” before responding, engaging in internal chains of thought to generate more accurate, context-aware, and factually correct answers. Its hallucination rate—where the AI confidently generates false information—is reportedly 40% lower than GPT-4. This makes it a much more dependable tool for critical applications in fields like law, finance, and medicine.
• Unified and Dynamic Architecture: Unlike previous models where users had to manually select between different versions for specific tasks (like GPT-4o for speed or other “thinking” models for complex problems), GPT-5 features a real-time router. This router automatically delegates tasks to the most suitable underlying model, whether a fast, shallow response is needed or a deeper, more computationally intensive analysis is required.This not only streamlines the user experience but also makes the model more efficient.
• Expanded Multimodal Capabilities: While GPT-4 introduced multimodal abilities, GPT-5 elevates them to a new level.It seamlessly handles and generates content across text, images, audio, and even video, all within a single interface. For example, a user can provide a text prompt to generate a short, AI-generated video, opening up new possibilities for content creation and marketing.
• Superior Coding and Agency: GPT-5 is OpenAI’s strongest coding model to date. It excels at complex front-end generation, debugging large codebases, and creating responsive websites from a single prompt. It also demonstrates agentic behavior, meaning it can autonomously plan, execute, and chain multiple actions to complete complex tasks, like building a functional web application from scratch.
• Enhanced Customization and Personalization: The new model features a capability called “Vibecoding,” which allows users to set the personality or tone of the AI for continuous interactions. Additionally, it offers deep integration with productivity tools like Gmail and Google Calendar for Pro, Team, and Enterprise users, allowing it to assist with scheduling, email drafting, and document summarization in real time.

Detailed benchmarks

Intelligence

	GPT-5(high)	GPT-5 mini(high)	GPT-5 nano(high)	OpenAI o3(high)	OpenAI o4-mini(high)	GPT-4.1	GPT-4.1 mini	GPT-4.1 nano
AIME ’25(no tools)	94.6%	91.1%	85.2%	88.9%	92.7%	46.4%	40.2%	–
FrontierMath(with python tool only)	26.3%	22.1%	9.6%	15.8%	15.4%	–	–	–
GPQA diamond(no tools)	85.7%	82.3%	71.2%	83.3%	81.4%	66.3%	65.0%	50.3%
HLE[1](no tools)	24.8%	16.7%	8.7%	20.2%	14.7%	5.4%	3.7%	–
HMMT 2025(no tools)	93.3%	87.8%	75.6%	81.7%	85.0%	28.9%	35.0%	–

Multimodal

	GPT-5(high)	GPT-5 mini(high)	GPT-5 nano(high)	OpenAI o3(high)	OpenAI o4-mini(high)	GPT-4.1	GPT-4.1 mini	GPT-4.1 nano
MMMU	84.2%	81.6%	75.6%	82.9%	81.6%	74.8%	72.7%	55.4%
MMMU-Pro(avg across standard and vision sets)	78.4%	74.1%	62.6%	76.4%	73.4%	60.3%	58.9%	33.0%
CharXiv reasoning(python enabled)	81.1%	75.5%	62.7%	78.6%	72.0%	56.7%	56.8%	40.5%
VideoMMMU, max frame 256	84.6%	82.5%	66.8%	83.3%	79.4%	60.9%	55.1%	30.2%
ERQA	65.7%	62.9%	50.1%	64.0%	56.5%	44.3%	42.3%	26.5%

Coding

	GPT-5(high)	GPT-5 mini(high)	GPT-5 nano(high)	OpenAI o3(high)	OpenAI o4-mini(high)	GPT-4.1	GPT-4.1 mini	GPT-4.1 nano
SWE-Lancer: IC SWE Diamond Freelance Coding Tasks	$112K	$75K	$49K	$86K	$66K	$34K	$31K	$9K
SWE-bench Verified[2]	74.9%	71.0%	54.7%	69.1%	68.1%	54.6%	23.6%	–
Aider polyglot(diff)	88.0%	71.6%	48.4%	79.6%	58.2%	52.9%	31.6%	6.2%

Instruction Following

	GPT-5(high)	GPT-5 mini(high)	GPT-5 nano(high)	OpenAI o3(high)	OpenAI o4-mini(high)	GPT-4.1	GPT-4.1 mini	GPT-4.1 nano
Scale multichallenge[3](o3-mini grader)	69.6%	62.3%	54.9%	60.4%	57.5%	46.2%	42.2%	31.1%
Internal API instruction following eval(hard)	64.0%	65.8%	56.1%	47.4%	44.7%	49.1%	45.1%	31.6%
COLLIE	99.0%	98.5%	96.9%	98.4%	96.1%	65.8%	54.6%	42.5%

[3] Note: we find that the default grader in MultiChallenge (GPT-4o) frequently mis-scores model responses. We find that swapping the grader to a reasoning model, like o3-mini, improves accuracy on grading significantly on samples we’ve inspected.

Function Calling

	GPT-5(high)	GPT-5 mini(high)	GPT-5 nano(high)	OpenAI o3(high)	OpenAI o4-mini(high)	GPT-4.1	GPT-4.1 mini	GPT-4.1 nano
Tau2-bench airline	62.6%	60.0%	41.0%	64.8%	60.2%	56.0%	51.0%	14.0%
Tau2-bench retail	81.1%	78.3%	62.3%	80.2%	70.5%	74.0%	66.0%	21.5%
Tau2-bench telecom	96.7%	74.1%	35.5%	58.2%	40.5%	34.0%	44.0%	12.1%

Long Context

	GPT-5(high)	GPT-5 mini(high)	GPT-5 nano(high)	OpenAI o3(high)	OpenAI o4-mini(high)	GPT-4.1	GPT-4.1 mini	GPT-4.1 nano
OpenAI-MRCR: 2 needle 128k	95.2%	84.3%	43.2%	55.0%	56.4%	57.2%	47.2%	36.6%
OpenAI-MRCR: 2 needle 256k	86.8%	58.8%	34.9%	–	–	56.2%	45.5%	22.6%
Graphwalks bfs <128k	78.3%	73.4%	64.0%	77.3%	62.3%	61.7%	61.7%	25.0%
Graphwalks parents <128k	73.3%	64.3%	43.8%	72.9%	51.1%	58.0%	60.5%	9.4%
BrowseComp Long Context 128k	90.0%	89.4%	80.4%	88.3%	80.0%	85.9%	89.0%	89.4%
BrowseComp Long Context 256k	88.8%	86.0%	68.4%	–	–	75.5%	81.6%	19.1%
VideoMME(long, with subtitle category)	86.7%	78.5%	65.7%	84.9%	79.5%	78.7%	68.4%	55.2%

Hallucinations

	GPT-5(high)	GPT-5 mini(high)	GPT-5 nano(high)	OpenAI o3(high)	OpenAI o4-mini(high)	GPT-4.1	GPT-4.1 mini	GPT-4.1 nano
LongFact-Concepts hallucination rate(no tools)[lower is better]	1.0%	0.7%	1.0%	5.2%	3.0%	0.7%	1.1%	–
LongFact-Objects hallucination rate(no tools)[lower is better]	1.2%	1.3%	2.8%	6.8%	8.9%	1.1%	1.8%	–
FActScore hallucination rate(no tools)[lower is better]	2.8%	3.5%	7.3%	23.5%	38.7%	6.7%	10.9%	–

Key Use Cases for GPT-5

The enhanced capabilities of GPT-5 unlock a wide range of new and improved use cases across various industries and for individual users.

• Enterprise and Business: GPT-5 can act as a strategic partner for businesses, providing accurate market analysis, synthesizing large documents for strategic reports, and automating complex workflows through its agentic capabilities. Its improved security features and reduced hallucination rates make it a trustworthy tool for handling sensitive company data.
• Software Development: Developers can use GPT-5 to generate entire applications, debug code with greater accuracy, and create aesthetically pleasing user interfaces with minimal prompting. The ability to use custom tools allows for seamless integration with company-specific databases and APIs.
• Education and Research: With its improved reasoning and fact-checking, GPT-5 is a powerful tool for academic research, helping students and professionals conduct thorough research, summarize complex papers, and prepare for exams with greater confidence.Its ability to handle large context windows allows for in-depth analysis of lengthy texts and datasets.
• Creative Content Creation: Beyond text, GPT-5’s multimodal abilities empower creators to generate visual content like AI art and videos, craft more authentic and emotionally engaging stories, and localize marketing content for global audiences with native-like fluency.
• Personal Productivity: For everyday users, GPT-5 functions as a full-scale personal assistant.It can manage calendars, draft professional emails, summarize documents, and handle multi-step tasks that require planning and execution, all while maintaining a personalized and consistent tone.

Availability

GPT-5 is now available to a wide audience.It’s accessible to users of the chatbot products ChatGPT and Microsoft Copilot, as well as to developers through the OpenAI API.

• For ChatGPT Users: The new model is the default for all ChatGPT users. Free users have access to GPT-5 with certain daily usage limits, after which the system may switch to a smaller, faster version. Plus, Pro, Team, and Enterprise subscribers get higher usage caps and unlimited access to the full power of GPT-5 Pro.
• For Developers: OpenAI has released GPT-5 in three sizes GPT-5, GPT-5-mini and GPT-5-Nano to give developers flexibility based on performance, cost, and latency requirements. These models are designed to be highly efficient and cost-effective, with GPT-5-Nano being particularly affordable.

For more information you can access:

https://openai.com/index/gpt-5-new-era-of-work

https://openai.com/index/introducing-gpt-5