The meeting announced the launch of GPT-5, emphasizing its significant upgrades in intelligence, reliability, speed, and usability over previous models.
Key features include advanced reasoning, improved coding abilities, enhanced voice and personalization features, stronger safety systems, and broader accessibility—including to free users and enterprises.
Demos highlighted GPT-5's performance in coding, writing, learning, health, and productivity applications. Multiple models (GPT-5, Mini, Nano) are available via API starting today.
Notable decisions include deprecating older models and new integrations with tools like Gmail and Google Calendar, with rollouts planned for next week and beyond.
Action Items
Roll out GPT-5 to Free, Plus, and Team users today; to Enterprise and Edu next week.
Prepare and execute deprecation of all previous ChatGPT models.
Launch and monitor the rollout of new features: custom personalities, colors, voice enhancements, and memory integration with Gmail/Google Calendar.
Develop additional developer and enterprise documentation to support API updates (Mini, Nano, new parameters).
Collect user feedback on the new health features and report insights for further model improvements.
Enable GPT-5 as default in Cursor for new users; monitor usage and gather feedback.
Follow up with key partners (e.g., Amgen, BBVA, Oscar) to gather case studies on GPT-5 impact.
GPT-5 Launch & Capabilities
GPT-5 delivers expert-level reasoning, with a major focus on reliable, fast, and intuitive responses for any domain.
It combines fast outputs with deep, context-aware reasoning, removing previous trade-offs.
Live demonstrations showed GPT-5 creating complex code, educational content, and interactive applications in minutes.
The model is available to all user tiers, including free users (with usage limits transitioning to Mini), and is being rolled out to enterprise and education customers next week.
All core tools (search, file/image uploads, data analysis, canvas, memory, and custom instructions) are compatible with GPT-5.
Performance, Benchmarks, and Reliability
GPT-5 achieves top marks on coding (SWEBench, ADER Polyglot), multimodal (MMU), math (Amy 2025), and health benchmarks (Healthbench).
Significant reductions in factual errors and hallucinations, especially for complex and health-related queries.
New evals and safety training focused on helpfulness, partial answers, and transparency in refusals, resulting in safer, more robust responses.
Enhanced Features & Personalization
Voice models are now more natural, support video input, language translation, and custom-tailored personalities for paid users.
Study and learn mode in voice guides users through deep subject understanding.
Chat color customization and research preview of personalities are being introduced, enhancing user experience.
Memory feature enhancements now integrate with Gmail and Google Calendar, enabling personalized scheduling and life management.
Safety, Training, and Data Integrity
Overhauled safety training reduces model deception and enables "safe completions," which provide helpful, constrained responses to sensitive queries.
Use of synthetic data, with older models generating advanced training curricula, improves the teaching and capabilities of GPT-5.
New recursive self-improvement training methods deepen model reasoning and safety standards.
Coding, API, and Developer Experience
GPT-5 is the state-of-the-art coding model, excelling in front-end and agentic coding tasks, tool calling, large codebase understanding, and instruction following.
Three models (GPT-5, Mini, Nano) available in the API, with new features such as reasoning effort dials, custom tools, regex/grammar constraints, tool call preambles, and verbosity controls.
Expanded context windows (400K tokens), improved long-context reasoning, and new open-sourced benchmarks enable more complex, real-world applications.
Demonstrations showcased code understanding, bug resolution, UI creation, and game development.
Business, Enterprise, and Use Cases
GPT-5 has been adopted for advanced tasks in life sciences (Amgen), finance (BBVA), and healthcare (Oscar), demonstrating improved accuracy, speed, and reasoning.
Rollout to millions of federal employees highlights commitment to enabling government and broader industry transformation.
Competitive pricing and model selection (including affordable Mini and Nano) are designed to maximize accessibility and value for all business scales.
Research Vision and Closing Remarks
OpenAI reaffirmed its commitment to responsible development, safety, and understanding the broader impacts of deep learning.
Emphasis was placed on future research directions, continuous model improvement, and transforming users' capabilities across society.
Decisions
Deprecate all previous ChatGPT models — Streamlining offerings to eliminate redundancy and focus improvements on GPT-5 and future models.
Enable GPT-5 for all user tiers, including free users (with limits) — To maximize reach, feedback, and impact, while leveraging usage controls.
Integrate memory with Gmail and Google Calendar — To create more personalized and useful AI assistants.
Release three API models (GPT-5, Mini, Nano) with new developer features and pricing — To provide flexibility, cost control, and performance options for diverse application needs.
Open Questions / Follow-Ups
Gather early user and enterprise feedback on new personalization features (colors, personalities) and iterate as needed.
Monitor effectiveness and user experience with new "safe completions" in safety training.
Collect external validation and case studies from industry partners on real-world GPT-5 performance.
Determine future priorities for computer-using capabilities and extend model lifecycles for extended agent tasks.
Evaluate additional integration opportunities for memory and productivity features across other platforms and ecosystems.