Google’s Gemini 3 takes aim at the AI crown with aggressive new push 🤖

For two years, Google has mostly looked like it was playing catch-up with OpenAI, Anthropic, and others, releasing multiple Gemini versions without ever really establishing a clear vision. With Gemini 3, the narrative shifts entirely: Google is embracing a full-stack approach that powers Search, the Gemini app, developer tools, and even a new image generator called Nano Banana Pro—all driven by a reasoning engine that dramatically outperforms Gemini 2.5 across major benchmarks.

Gemini 3: the brain Google’s been missing 🧠

Google is positioning Gemini 3 as its most intelligent model to date, with an explicit focus on reasoning and contextual understanding rather than generating polished but hollow text. On benchmarks, Gemini 3 Pro significantly surpasses Gemini 2.5 Pro across scientific reasoning, mathematics, and multimodal understanding (text, images, video).

Source : © Google

In practice, this translates to responses that are shorter, more direct, less corporate-speak, and more oriented toward decision support and collaborative thinking. The Deep Think mode takes this deep reasoning even further for heavy-duty tasks—research, complex problem-solving, technical analysis—and will be reserved for Google AI Ultra subscribers after a security testing phase.

Gemini 3 Pro: power user mode across Google’s ecosystem ⚡️

Gemini 3 Pro is the version Google is deploying everywhere: the Gemini app, AI mode in Search, AI Studio, Vertex AI, CLI, and now Google Antigravity. The concept is straightforward: whenever you touch an advanced Google product, Gemini 3 Pro is running under the hood to understand your context, files, images, or videos, and help you learn, create, or plan.

In Search, Gemini 3 Pro now powers « AI mode » with richer generative interfaces: visual layouts, interactive simulations, and tools built on-the-fly based on your query. In the Gemini app, Google AI Pro and Ultra subscribers get higher limits, longer context windows, and agentic capabilities to delegate complete tasks like organizing your inbox or project planning.

Nano Banana Pro: the image generator that finally gets text right✍️🖼️

Nano Banana was already the image model paired with Gemini 2.5 Flash, focused on quick edits and playful creation. With Nano Banana Pro (Gemini 3 Pro Image), Google is leveling up: studio-quality image generation and editing, better text and context understanding, and most importantly, genuine mastery of text within images (posters, mockups, infographics, diagrams).

© Google

One of Nano Banana Pro’s major strengths is its ability to generate readable text in multiple languages with various typography styles and textures, opening the door to marketing visuals, presentation slides, or social media graphics ready to use straight from Gemini. The model can also reach resolutions up to 4K, merge multiple images, and play with lighting, camera angles, or rendering styles—positioning it as a genuine creative tool, not just a toy.

How to use Nano Banana Pro in Gemini 🎨

For consumers, Google has kept it simple: Nano Banana Pro is accessible directly in the Gemini interface’s image creation mode by selecting the Gemini 3 Pro-based image model. The experience is designed to feel like a « creation studio » in your browser: text prompts, optional reference images to upload, resolution selection (up to 4K), and iterative adjustments.

For developers, Nano Banana Pro is exposed through the Gemini API with a dedicated model (« gemini-3-pro-image-preview »), enabling integration into asset production pipelines, marketing dashboards, internal tools, or automated photo editing workflows. Google is clearly positioning this as a professional tool designed for corporate graphics teams as much as independent creators.

Google Antigravity: the IDE that puts agents in control🧑‍💻🛰️

Google Antigravity is the other key announcement in this Gemini 3 wave: a new « agentic » development platform that replaces the « editor + copilot » duo with a task-oriented environment where autonomous AI agents plan, code, test, and verify complete projects. Visually, it resembles a VS Code-inspired IDE, but with an Agent Manager, integrated browser, and terminal that agents can control to execute end-to-end workflows.

Antigravity is powered by Gemini 3 Pro and connected to other Google components like Gemini 2.5 Computer Use for browser control and Nano Banana Pro for image work. In practice, you can launch multiple agents in parallel on different tasks (fixing bugs, refactoring modules, writing tests, generating UIs), and track their plans, results, and validation requests through a dedicated interface.

A new way to develop with AI 🧩

Antigravity’s premise is to move beyond « I write code, AI autocompletes » toward « I describe the task, the agent designs the plan, writes the code, tests it, and asks for validation at the right moments. » Google is highlighting several work modes: fully agent-driven development, agent-assisted (recommended), or fine-grained configuration depending on how much trust you grant the AI over your codebase.

© Google

For now, Antigravity is in public preview and free for individuals, with generous quotas on Gemini 3 Pro and even support for other models like Claude Sonnet or OpenAI models. It’s a strategic move: making Antigravity the « hub » for the agent era, regardless of the underlying model, and getting developers to think in terms of AI-orchestrated tasks rather than isolated lines of code.

How to access Gemini 3 and the entire ecosystem 💡

For consumers, there are three main entry points:

• The Gemini app (web + mobile) : Gemini 3 is rolling out to everyone, with more generous limits and advanced capabilities (Deep Think, agents) reserved for Google AI Pro and Ultra subscribers.

• AI mode in Google Search : Gemini 3 Pro powers enhanced responses, interactive simulations, and generative interfaces in many countries.

• Google products (Gmail, Docs, Sheets, etc.) : via Google AI Pro and Ultra subscriptions, which add Gemini features across the productivity suite.

For developers, access is through the Gemini API in AI Studio, Vertex AI, Gemini CLI, and now Google Antigravity, which serves as the « home base » for agentic development.

Pricing: what the « full Gemini » experience actually costs 💳

On pricing, Google is sticking with a tiered structure. The free plan lets you use Gemini with limited capabilities but without full and priority access to Gemini 3 Pro or advanced features. The Google AI Pro plan runs around $19.99 per month, with priority access to more powerful models (including Gemini 3 Pro when available), 2TB of storage, and Gemini integration in Gmail, Docs, and other Google products.

Above that, the Google AI Ultra plan climbs to approximately $249.99 per month, clearly targeting power users and professionals who need the most advanced features: broader and priority access to top-tier models, capabilities like Deep Think, Veo 3 for video, and the most sophisticated agentic features. For Antigravity, the current preview is announced as free for individuals, suggesting monetization will come later through pro/enterprise offerings.

From laggard to throne contender 👑

Not long ago, the picture was clear: OpenAI set the pace, Anthropic played the « reliability/alignment » card, and Google seemed stuck making defensive announcements. With Gemini 3, Google is presenting a genuinely coherent proposition: a state-of-the-art model on reasoning benchmarks, deeply integrated across all its products, and coupled with an agents + multimodal strategy that speaks to developers and consumers alike.

On paper, Gemini 3 Pro tops many leaderboards, notably LMArena, and claims better performance than competing « frontier » models on benchmarks like GPQA Diamond or MMMU-Pro. But beyond the numbers, what matters is execution: Google wants to demonstrate that this power translates into Search, Docs, apps, and developer workflows—not just a marketing PDF.

So who’s really leading the dance now ? 🔭

Gemini 3 isn’t just another update in the model wars—it’s a statement of intent: Google wants its AI everywhere, useful, contextual, and capable of handling complete tasks, not just answering questions. Between Nano Banana Pro for visuals, Antigravity for code, and agents for workflow execution, Google is weaving a platform that goes far beyond basic chatbots.

One question remains: will this power actually translate into daily life for users and developers better than what OpenAI, Anthropic, or others already offer? The battle is no longer just about benchmarks but about ergonomics, trust, pricing, and real-world integration—and on that terrain, the fact that Gemini is now everywhere in Google’s ecosystem might just make all the difference.

What do you think: with Gemini 3, Nano Banana Pro, and Antigravity, has Google really overtaken the competition, or is this just a well-orchestrated marketing campaign to catch up? What matters most to you: benchmarks, integration into the Google ecosystem, prices… or simply the everyday experience?