- New Opera Neon update includes 1-minute Deep Research mode that delivers reports at full speed
- Users can also switch between AI models like Gemini 3 Pro and Nano Banana Pro mid-task.
- The update also allows the “Do” agent to automatically create and edit Google Docs based on your prompts.
Opera’s agent browser experience, Opera Neon, just launched a feature that could redefine the way you search for anything online. The new one-minute search mode for its Opera Deep Research Agent (ODRA), gives users the ability to generate comprehensive mini-reports, supported by citations, in, as the name suggests, around 60 seconds.
The update marks one of the most tangible attempts yet to streamline online search with AI, providing just enough depth without sending you down a hyperlink rabbit hole. And while the feature is currently limited to early access users of Opera Neon, the implications could extend well beyond a crowd of niche power users. If you’ve ever found yourself juggling 10 tabs, a notepad, and a vague sense of academic guilt just to compare new phones, this one’s for you.
ODRA does not replace ChatGPT-style conversations or content creation. Instead, it co-exists alongside Opera Neon’s existing “Chat”, “Do” and “Make” agents. It proposes a small, efficient multi-threaded AI researcher that parallelizes the task, splits it, assigns it to virtual teammates, and reassembles a unified response. You ask the question. This brings back the memoir.
The new one-minute mode offers something between an informal AI response and a full deep dive: fast enough to maintain your momentum, rigorous enough that you don’t depend on a chatbot hallucinations. Opera describes it as the sweet spot for those times when you don’t need a comprehensive white paper, but you also don’t want to rely on a single Reddit thread to decide whether that new washing machine is worth it.
Unlike most browser-based AI tools that simply summarize page content or offer light suggestions, ODRA draws on multiple sources across the open web. He also makes sure to include quotes.
Claude power
That’s not all that’s been added in this latest update. Opera Neon now includes a new model switcher, allowing users to switch between top AI systems on the fly, including Google’s Gemini 3 Pro and Nano Banana Pro. You can start a session using one template and then change without losing your chat history or understanding of your task. This is a small change with big usability implications, especially for people who are starting to notice that not all AI models excel in the same areas.
And while ODRA may be the big story, Neon’s Agent “Do” has also been upgraded. It now works natively with Google Docs. If you ask Neon to write a report comparing electric cars, it can now not only search for the topic, but also drop it into a properly formatted Google Doc, with its title and everything. From there, you can edit it, share it, or ask Neon to review it, rename the file, or add new searches later.
New updates to Opera Neon 🚀• Our new model selector now includes: Gemini 3 and Nano Banana Pro. Simply choose the model that fits your workflow.• Need deeper insights without an in-depth analysis? The 1-minute search quickly provides richer answers. pic.twitter.com/vzp8bTdgRcNovember 27, 2025
Opera has positioned Neon as a sandbox for experimental features that might be too advanced or too opinionated for its mainstream products. While its flagship browser, Opera One, is still aimed at a broad audience, Neon is aimed at power users who want the browser to do more than just passively open content.
With agents writing, reviewing, generating images, performing deep searches, and executing tasks in external services, Neon increasingly behaves like a task delegation interface, not just navigation. Its ability to switch agents or models mid-task makes it more fluid than the growing number of single-purpose AI add-ons that populate other browsers.
The broader implication is that the future of AI may not reside in your chat box but in your browser. Opera Neon’s One-Minute Search Agent is an early prototype of a shift toward which AI doesn’t just offer feedback on content, but becomes an interface layer between you and the web itself.
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