You can now keep your work from other agents in sync with ChatGPT Work and Codex. Import projects, chats, skills, and plugins, review your import history, and opt in to automatic updates in Settings. Now available in the ChatGPT desktop app.

Now in research preview: Codex Security Review It takes a deeper look at GitHub pull requests for security issues, using repository context to surface actionable findings directly in the PR. See how to enable automatic reviews:

Build a plugin once and use it across compatible agent clients. Introducing Agent Plugins, an open standard developed with @awsdevelopers, @cursor_ai, @github, @code, and @vercel that packages Agent Skills and supports MCP server configurations in a shared format.

GPT-Live can listen while it speaks. To make that feel natural at ChatGPT scale, we rebuilt the voice stack from client to model. This new architecture keeps audio flowing continuously, so deeper reasoning and tool use don't interrupt the conversation.

The best value for every token: GPT-5.6 Sol is now our default in Cosmos Eight models in eight weeks! After testing them all on real, long-horizon software development tasks, we’re making @OpenAI’s GPT-5.6 Sol the new default in Cosmos. It’s the most token efficient model that clears our quality bar for the engineering loops that teams are setting up with Cosmos, our agent orchestration platform. You still have the flexibility to pick any other models and when in doubt, just ask the Cosmos Advisor to pick the best model for the task.

my dad using gpt 5.6 sol for the 1st time: - wanted to build a webpage about indigenous south african fynbos (extreme plant dad) - read all of the thinking states as it streamed - final thoughts on the HTML file: “its gorgeous, its absolutely gorgeous”

Only if education could be this interactive ❤️‍🔥 I've had a looong wish to build something genuinely useful through vibe coding, and I finally did it. A 3D human anatomy application built with @threejs using GPT 5.6 Sol. It all started with a single design image that I created using GPT Image 2.0. I then used it to generate every 3D organ image, one by one. Next, I converted each of those images into 3D models using @tripoai (and no, they didn't sponsor this 😄). After that, I opened Codex, wrote a master prompt based on the design, and gave it the prompt, the design image, and all the 3D models. Codex built the first version beautifully, but there was one big problem. Every single 3D model was nearly 120-150 MB. That obviously wasn't practical for the web and was giving a performance of 16fps. After a few iterations, Codex optimized each model down to roughly 2–5.5 MB while preserving the visual quality, reducing the total asset size from ~900 MB to just 28.6 MB. And each model loads on demand. Along the way, Codex also generated those anatomical illustrations showing where each organ sits in the human body, and even created the interactive hotspot markers that explain different parts of every organ. It handled all of that. The process wasn't exactly one shot, but it also wasn't difficult. You just have to do it step by step. It genuinely felt like building something that could make learning anatomy much more engaging. The inspiration came from @DilumSanjaya's 3D animal plant cell project. I remember seeing it and thinking, "I want to build something like this one day." And I did it :D Live: Code:

Codex users: here's an amazing way to take advantage of the efficiency and capability of GPT-5.6 Luna Max. It's called 'sol-advisor'. 1. GPT-5.6 Sol High as orchestrator 2. GPT-5.6 Luna Max as implementer for routine tasks 3. GPT-5.6 Terra Max as implementer for complex tasks 4. Fresh GPT-5.6 Sol instance as reviewer A free and open-source plugin for Codex. Installation instructions below 👇 I dare you to install it, and tell me if you hit your weekly usage limits using 'sol-advisor'. I doubt you can.

GPT-5.4 and GPT-5.4 mini will no longer be available for users signed in with ChatGPT starting August 31. The models will remain available on the OpenAI API and Codex sessions authenticated with an API key.

The work behind the new prices spans the model, inference stack, and agentic harness, from request routing and token generation to tool use and context management. Luna and Terra’s lower prices are also reflected in how usage is counted in Codex and ChatGPT Work, so your usage goes further.

Fast mode for GPT-5.6 Sol in the API delivers up to 2.5x the speed of Standard processing at 2x the Standard price, with no change in intelligence. Existing API requests tagged `priority` will continue to work.

We used GPT-5.6 Sol in Codex to optimize its own infrastructure and performance. These improvements compound across inference and the agent loop, producing more useful work from the same underlying hardware.

The Codex Visualize skill is awesome. Had no idea it could generate all these kinds of interactive visuals inline. You can even use it in the Codex CLI where it will give you a browser link to an interactive visualization.

We’ve seen the community build with Codex. Chaotic desks, clean desks, couches, airport floors. We don’t judge the workspace. We just love seeing what you’re building. Here are a few of yours, now on billboards.