Introducing ChatGPT Work, a new agent in ChatGPT powered by Codex and GPT-5.6.
It can take action across your apps and files, stay with a project for hours if needed, and turn a goal into finished work.
It’s a whole new way to get work done.
On web and mobile, ChatGPT Work is rolling out today for Pro, Enterprise, and Edu plans. It will roll out to Plus and Business plans over the next few days.
In the ChatGPT desktop app, Chat, Work, and Codex are available on every plan, including Free, and is available globally
ChatGPT Work is powered by GPT-5.6.
GPT-5.6 makes ChatGPT state of the art at reasoning through complex tasks and creating materials that match your templates, reference files, and preferred style.
Just describe the outcome you want, without having to spell out every step to
ChatGPT Work reflects a shift in how people are using AI, moving beyond just answering questions to getting real work done across web, mobile, and desktop.
You can ask ChatGPT Work to take on entire workflows with a single request.
It will understand your goals, use context
GPT‑5.6 improves artifact quality across presentations, documents, and spreadsheets, and works better with your templates.
These editable artifacts can be exported to the tools professionals already use and refined as part of real enterprise workflows.
GPT‑5.6 is available starting today across ChatGPT, Codex, and the OpenAI API. The rollout is starting globally now and will continue gradually toward full availability over the next 24 hours.
In ChatGPT, Plus, Pro, Business, and Enterprise users access GPT-5.6 Sol through
GPT-Live is now fully rolled out to all ChatGPT users on Go, Plus, and Pro plans. Free user rollout is in progress.
Update to the latest version of the ChatGPT app on iOS or Android to try it out.
Introducing GPT-Live, a new generation of voice models for natural human-AI interaction.
Rolling out in ChatGPT starting today.
You’ll want to turn the sound on for this one.
We audited SWE-Bench Pro, one of the most widely used AI coding benchmarks, and found it no longer reliably measures frontier coding capability.
We find 30% of SWE-Bench Pro tasks to be broken, and are retracting our previous recommendation that the research community use it as
To audit SWE-Bench Pro, we used model-based investigator agents alongside independent reviews from five independent experienced software engineers.
That helped us examine tasks at scale while keeping expert judgment at the center.
As coding models improve, evals need to become harder, fairer, and more trustworthy.
Better benchmarks help the field understand real progress and where the frontier is moving.
