OpenAI’s DevDay wasn’t particularly accurate this year. Because what we actually got was a full week of constant announcements. Sam Altman and co dropped so many updates that it’s been hard to keep up.
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This speed run of news also comes after a slew of other launches in recent weeks, including ChatGPT Pulse, a personalised daily digest that quietly compiles your interests overnight, and Instant Checkout, which lets users shop for Etsy and Shopify products directly inside ChatGPT.
Looking at everything announced or alluded to, it’s unsurprising that OpenAI’s head of product Nick Turley spoke about the platform becoming an operating system. Because between the third-party apps, shopping functionality, and agents, it clearly doesn’t want you to ever leave.
Here’s a ‘quick’ rundown of what’s been announced.
GPT-5 Pro quietly dropped
OpenAI’s newest flagship model is now in the API, designed for long-form reasoning, deep recall, and better reliability for enterprise and developer users.
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According to OpenAI, GPT-5 Pro offers a wider context window (up to 400,000 tokens), can process both text and images, and gives developers more control over how deeply the model reasons.
There are multiple reasoning levels and output sizes, which help tailor the model’s performance to complex tasks. This includes coding, technical work, and extended chats.
ChatGPT gets third-party apps
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In a move that buries their old ‘plugin’ approach, OpenAI now lets users run full-featured apps directly inside ChatGPT.
From launch, you can access Canva, Spotify, Coursera, Booking.com, Expedia, Figma, Zillow and more, all without ever leaving the chat window.
Apps can be triggered naturally by mentioning them in conversation or suggested when relevant. So if you’re talking about travel, ChatGPT might just pull Expedia or Booking.com into the thread for you.
AgentKit lets devs build mini AI armies
The new toolkit allows autonomous agents to hop across APIs, schedule meetings, and automate work.
In practice, AgentKit is a bundled set of SDKs and templates aimed at helping developers quickly create agents that perform multi-step tasks. For example, checking calendars, updating databases, or handling conditional logic without needing to build every workflow from scratch.
It includes evaluation and debugging features so devs can see how agents perform and make adjustments. It’s intended to make agentic automation accessible beyond simple chatbot plugins, especially for business or operational use
ChatGPT Go expands across Asia
After launching in India and Indonesia, the US$5 subscription tier has rolled out to 16 countries, offering higher limits and local pricing.
As we’ve reported previously, it’s a clever play for mass adoption and a direct challenge to Google’s conversational-AI reach.
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Mini models
Lighter versions of OpenAI’s image, voice, and audio tools promise up to 80% cheaper usage. Another clear sign OpenAI wants to dominate the affordable AI market, too.
Specifically, the “mini” family includes models like GPT-4o mini, OpenAI’s most cost-efficient and fast small model, which powers text and vision tasks at a fraction of previous costs.
GPT-4o mini scores highly on academic benchmarks and supports long context windows (128k tokens), enabling use cases demanding efficient scale like customer support, real-time chatbots, or apps making multiple AI calls in parallel.
Mini models support both text and image inputs now, with video and audio planned down the line, aiming to make AI accessible and affordable for startups and volume-heavy applications
Sora goes viral
The company’s generative video tool that launched last week is already topping App Store charts. It reached one million users faster than ChatGPT did, which is impressive. However, it also came with immediate deepfake potential and copyright headaches baked in.
Jony Ive’s mystery gadget
Earlier in the week, Altman and the ex-Apple designer Jony Ivy teased a palm-sized, screenless ChatGPT “computer friend” that listens constantly.
It sounds like a walking privacy lawsuit waiting to happen. It’s also just the latest example of OpenAI’s “build first, ask permission later” playbook.
