GPT-5 Launches with 80% Fewer Hallucinations and Unified Reasoning Model

OpenAI recently launched ChatGPT-5, the latest iteration of its AI chatbot, touting significant enhancements over previous versions. CEO Sam Altman described GPT-5 as a “Ph.D-level expert” capable of delivering expert-level assistance across a wide range of topics. Despite these ambitious claims, user reactions have been mixed. Many users found the conversational tone of GPT-5 to be “cold” or “blunt,” and some expressed dissatisfaction with the initial removal of older models like GPT-4o. In response, OpenAI has since reversed this decision [1].

Among its key advancements, GPT-5 introduces a unified and adaptive reasoning model, eliminating the need to choose between different AI models based on task complexity. This allows users to rely on a single, versatile chatbot for both quick responses and deep thinking, particularly in domains like coding and mathematics. Another significant improvement is its accuracy, with OpenAI reporting up to 80% fewer hallucinations in complex scenarios compared to earlier versions [1].

Personalization in GPT-5 is also a standout feature. The model supports customizable personalities and enhanced voice settings, enabling users to adjust the chatbot’s tone and style without extensive prompt engineering. For paid users, GPT-5 will soon support integration with Gmail and Google Calendar, allowing it to assist with scheduling and email management, making it more personal and useful over time [1].

From a workflow perspective, GPT-5 integrates directly with applications like Gmail and Google Calendar, enhancing productivity for both individuals and businesses. It can also be customized with proprietary data, offering a more tailored experience. OpenAI claims GPT-5 is the best coding model on the market today, capable of writing entire computer programs from scratch and autonomously refining its own code through a self-improvement loop [1].

However, despite these advances, GPT-5 is not the only strong contender in the AI landscape. Anthropic’s Claude Opus 4.1 excels in autonomous coding and agentic workflows, offering enterprise features like integrated code review and real-time security that GPT-5 currently lacks. Claude also supports artifact visualization, which improves clarity for engineering teams and allows for better tracking of long-running tasks [1].

Google’s Gemini 2.5 Pro stands out in multimodal capabilities, particularly in video analysis and complex visual reasoning. It can process video clips and diagrams and leverage Google’s search capabilities for real-time data retrieval—areas where GPT-5 is still developing. For organizations requiring open-source flexibility, Meta’s Llama 3 provides a compelling alternative. It supports lengthy documents and multi-turn conversations and offers full control over deployment and customization, making it well-suited for research environments and privacy-sensitive applications [1].

While GPT-5 introduces notable improvements in accuracy, personalization, and workflow integration, the AI chatbot landscape remains highly competitive. Users are encouraged to explore different models to determine which best fits their specific needs and workflows. As OpenAI and its rivals continue to refine their offerings, the race to deliver the most capable and adaptable AI assistant is far from over [1].

Source: [1] ChatGPT-5 underwhelming you? Here’s what it can do that older models couldn’t—and where other AI chatbots still shine (https://fortune.com/2025/08/12/chatgpt5-vs-claude-gemini-llama-features-improvements/)