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Google Pushes Gemini 3 Pro Into Search And The Gemini App

The new model lands a few weeks before Gemini 2’s first birthday and brings a task-running agent to the Gemini app.

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google pushes gemini 3 pro into search and the gemini app
Google

Google has pushed Gemini 3 Pro across its consumer and developer platforms, dropping the model into the Gemini app, Google Search’s AI Mode and other products across the company’s cloud stack in a single sweep.

In the app, the model sits behind the “Thinking” option and is open to all users, with higher limits for paid tiers. Answers are reported to be tighter and better structured. More importantly, it unlocks Gemini Agent, a task-runner built on last year’s Project Mariner. Once granted access to Google apps, it can handle chores directly — managing email instead of just suggesting how.

Search has also received a major upgrade. Gemini 3 Pro goes live first for AI Pro and Ultra subscribers inside AI Mode and will also power AI Overviews for the hardest queries. A new routing system (due soon), will decide when a question is sent to the upgraded model. For now, subscribers can trigger it by selecting “Thinking” in AI Mode.

Google argues the model strengthens the “fan-out” technique behind AI Mode by running broader, deeper searches and surfacing material earlier versions overlooked. Better multimodal analysis should also produce more functional answers; researching personal loans, for example, could return an embedded calculator rather than a wall of text.

The company is leaning on benchmark gains to anchor the launch. On benchmarking platform Humanity’s Last Exam, the model hit 37.5 percent accuracy, topping Grok 4 by 12.1 points without using web search. It also leads the LMArena board with 1,501 points.

Also Read: IBM Unveils Nighthawk And Loon Quantum Chips

Developers get the same upgrades too: Gemini 3 Pro is now in the Gemini API, AI Studio and Vertex AI. Google is also adding Antigravity, an autonomous coding tool that writes software while generating its own subtasks and progress notes. Gemini 3 Deep Think, a higher-end reasoning mode, will reach safety testers first before moving to AI Ultra users.

For MENA firms already prototyping with Google models, the rollout offers quicker access to production-grade assistants and coding agents as competition between global AI platforms tightens.

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Nano Banana 2 Arrives In MENA For Google Gemini Users

Google brings its latest image model to Gemini and Search, adding 4K output and tighter text control for regional users.

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nano banana 2 arrives in mena for google gemini users
Google

Google has opened access to Nano Banana 2 across the Middle East and North Africa, pushing its newest image model into everyday tools rather than keeping it inside the exclusive (and expensive) Pro tier.

The rollout spans the Google Gemini desktop and mobile apps, and extends to Google Search through Lens and AI Mode. Developers can also test it in preview via AI Studio and the Gemini API.

Nano Banana 2 runs on Gemini Flash, Google’s fast inference layer. The focus is speed, but also control. Users can export visuals from 512px up to 4K, adjusting aspect ratios for everything from vertical social posts to widescreen displays.

The model maintains character likeness across up to five figures and preserves fidelity for as many as 14 objects within a single workflow. This enables visual continuity across scenes, iterations, or edits — supporting projects like short films, storyboards, and multi-scene narratives. Text rendering has also been improved, delivering legible typography in mockups and greeting cards, with built-in translation and localization directly within images.

Also Read: RØDE Adds Direct iPhone Pairing To Wireless GO And Pro Mics

Under the hood, the system taps Gemini’s broader knowledge base and pulls in real-time information and imagery from web search to render specific subjects more accurately. Lighting and fine detail have been upgraded, without slowing output.

By embedding the model inside Gemini and Search, Google is normalizing advanced image generation for a mass audience. In MENA, where startups and marketing teams are leaning heavily on AI to scale content across languages and borders, that shift lands at a practical moment.

The move also folds creative tooling deeper into search itself, so that image generation is no longer a separate workflow. It now sits right next to the query box.

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