Google A/B tests Gemini 3 on AI Studio ahead of upcoming release

Google’s highly anticipated October release week is set to begin very soon, with much of the focus from the developer and research community resting on the rumored launch of Gemini 3, possibly on October 9 (UPD: Likely later).

Early testers have already benchmarked Gemini 3’s SVG generation capabilities, revealing a substantial improvement not only over Gemini 2.5 but also compared to Anthropic’s recently released Sonnet 4.5. The ability to handle complex SVGs has historically signaled strong coding and engineering performance, leading to considerable expectations for Gemini 3’s broader utility in software development and technical domains.

The Gemini 3 launch could also bring updates to related products: Veo 3.1 and a new Nano Banana model reportedly based on Gemini 3 Pro, rather than the Gemini Flash variant used in previous releases (again, according to rumours). This potential shift suggests Google is aiming to raise the bar for both image generation and AI-augmented workflows, further differentiating its ecosystem from competitors like OpenAI and Anthropic.

Another notable change under development is the “My Stuff” feature in Gemini’s UI, which seems designed to give users streamlined access to their generated artifacts, such as images, mirroring the gallery feature seen in the ChatGPT app.

Google is also rebranding “apps” as “connected apps” and integrating select Google services more tightly into Gemini, reducing manual toggling but potentially limiting granular user control.

Behind the scenes, the long-awaited Agent Mode with browser control is progressing, with traces of browser automation features being added in test builds. This would bring Gemini’s functionality closer to what’s already available in ChatGPT and Copilot, letting users instruct the AI to take actions within a browser context. For AI Studio, smaller UI adjustments are also expected, reflecting Google’s continued effort to unify and polish its generative AI offerings.

These updates would mostly benefit developers, early adopters, and those using generative AI tools for technical content creation. The features have been surfaced through code analysis and usage in pre-release environments, but users should watch for official announcements and documentation for final details and access. This week marks a critical moment in Google’s push to establish Gemini as a leader in the generative AI space, with wide-ranging implications for both individual users and enterprise workflows.