Google Gemini 3 Launch (19 November 2025): Features, Benchmarks, Deals and How to Use It Today

November 19, 2025 — Google is rolling out Gemini 3, a new generation of its AI model that it’s openly calling its “most intelligent” system so far. The model is already live across Google Search, the Gemini app, developer tools and enterprise products, with fresh carrier deals and deep-dive analyses hitting the web today. ^[1]

This article pulls together today’s coverage (19.11.2025) to explain what Gemini 3 is, why it matters, and how you can start using it right now.

What Is Gemini 3?

Gemini 3 is Google DeepMind’s latest large-scale AI model, positioned as a state‑of‑the‑art system for reasoning, multimodal understanding and “agentic” task execution (that is, letting AI not just chat, but plan and act across tools and services). ^[2]

Key points about the launch:

Launch date: Officially released on 18 November 2025. ^[3]
Rollout scale: From day one it underpins AI Mode in Google Search, the Gemini app, Google AI Studio, Vertex AI, and the new Google Antigravity coding environment. ^[4]
Positioning: Google and DeepMind leaders describe it as their best multimodal model yet and their most powerful model for coding and agent-like behavior. ^[5]

Unlike older “just text” chatbots, Gemini 3 is built from the ground up to work across text, images, audio, video and code, and to orchestrate tools and apps to actually get things done. ^[6]

How Is Gemini 3 Better Than Previous Models?

1. Much Stronger Reasoning and Benchmarks

Google says Gemini 3 Pro significantly outperforms Gemini 2.5 Pro on every major benchmark they track, especially those focused on reasoning and factual accuracy. ^[7]

Highlights from Google’s published numbers and coverage today:

Humanity’s Last Exam (HLE / HLEx):
- Gemini 3 Pro reaches high scores on this “PhD‑level” reasoning benchmark, and the Deep Think mode pushes it further to around 41%, beating the Pro variant. ^[8]
GPQA Diamond (graduate‑level question answering):
- Deep Think hits about 93–94%, again ahead of Pro. ^[9]
ARC‑AGI‑2 (general reasoning with code execution):
- Deep Think reaches roughly 45%, a new high on that benchmark. ^[10]
Multimodal benchmarks:
- Gemini 3 Pro scores around 81% on MMMU‑Pro and about 87–88% on Video‑MMMU, showing large gains on image‑ and video‑heavy tasks. ^[11]

Independent and third‑party write‑ups also note that Gemini 3 is topping popular leaderboards such as LMArena, where it reportedly became the first model to break the 1500 Elo barrier, and is outscoring OpenAI’s and Anthropic’s latest frontier models on several reasoning tests. ^[12]

For everyday users, that translates to:

Better at breaking down complex instructions.
More consistent step‑by‑step reasoning.
Fewer blatantly nonsensical “hallucinations,” though it can still be wrong. ^[13]

2. A One‑Million‑Token Context Window

Google’s documentation confirms that Gemini 3 Pro supports a 1,000,000‑token context window in Vertex AI — enough to ingest entire codebases, long legal contracts, or multi‑hour transcripts in one go. ^[14]

That massive context is already being used for:

Analysing entire software repositories before refactoring or testing.
Turning large sets of documents into summaries, dashboards or training materials.
Supporting long‑running “agent” sessions that don’t lose the plot after a few messages. ^[15]

3. Deep Think Mode

Alongside the standard Gemini 3 Pro model, Google is previewing Gemini 3 Deep Think, a mode that spends more time and computation on hard problems.

Deep Think is currently being tested with safety partners and is slated for Google AI Ultra subscribers once those checks are complete. ^[16]

Its purpose:

Tackle novel, research‑style problems.
Run longer chains of tool‑calling and code execution.
Provide more transparent reasoning traces for high‑stakes tasks. ^[17]

4. From Chatbot to “Agent”

A big theme across today’s analysis is that Gemini 3 is less about chatting and more about getting work done.

Google’s own materials talk about “agentic coding” and generative UIs that let the model build whole interfaces and workflows, not just paragraphs of text. ^[18]
A widely circulated commentary summarizing work by Wharton professor Ethan Mollick argues that Gemini 3 – especially when paired with Antigravity – marks a shift from the “chatbot era” to “digital colleagues” that can autonomously write code, run tools and build working apps. ^[19]

Where You Can Use Gemini 3 Today

1. Google Search: AI Mode From Day One

For the first time, a new Gemini model is built into Google Search on day one. ^[20]

What that means:

When you turn on AI Mode (or use AI Overviews where available), the underlying reasoning is powered by Gemini 3. ^[21]
Complex queries can trigger interactive “generative UI” experiences—for example, dynamic visual layouts, simulations or custom tools instead of just a static paragraph. ^[22]

Google says it’s already seeing:

Double‑digit growth in natural‑language queries aimed at these AI results.
Around a 70% spike in visual search usage driven by Gemini’s ability to reason over photos. ^[23]

2. Gemini App (Web, Android, iOS)

Gemini 3 is also rolling out across the Gemini app, which now acts as a hub for:

Text and voice chat.
Interacting with images and documents.
New “generative UI” experiments that store creations in a “My Stuff” section and allow dynamic views of results. ^[24]

Access today generally requires Google AI Pro / Plus / Ultra‑style subscription tiers, though specifics vary by region and account. ^[25]

3. Developers: AI Studio, Vertex AI and Antigravity

For developers, Gemini 3 Pro is available in preview via: ^[26]

Google AI Studio and the Gemini API, for building apps quickly from natural‑language prompts (“vibe coding”).
Vertex AI on Google Cloud, where teams can plug Gemini 3 into production systems with enterprise controls.
Gemini CLI, for terminal‑based workflows.
Google Antigravity, a new agent‑first coding environment where Gemini 3 Pro and other models can:
- Control an editor, terminal and browser.
- Collaborate as multiple agents in parallel.
- Produce “Artifacts” – structured logs, plans and screenshots showing exactly what the agents did. ^[27]

Early partners like Cursor, GitHub, JetBrains, Replit and others are already integrating Gemini 3 Pro into their tools, with some reporting double‑digit improvements in success on difficult coding tasks. ^[28]

4. Enterprises: Gemini Enterprise and Industry Use Cases

Google’s Cloud blog frames Gemini 3 as its most capable model yet for enterprise transformation, highlighting: ^[29]

Advanced tool use and planning for long, multi‑step business workflows (e.g. financial planning, supply‑chain optimisation, contract review).
Use cases such as:
- Turning unstructured documents into structured knowledge bases.
- Analysing video, factory images and call transcripts together with text reports.
- Migrating legacy code and automating software testing with agentic coding.

Large customers like Box, Shopify, Wayfair, Rakuten and Thomson Reuters are already piloting Gemini 3 Pro for tasks that range from content management and slides generation to complex legal reasoning and multi‑lingual transcription. ^[30]

Big Consumer Story Today: Jio’s 18‑Month Free Gemini 3 Offer

One of the most eye‑catching news items on 19 November 2025 is from India: Reliance Jio is bundling Gemini 3 for free.

According to reports from The Times of India and India Today: ^[31]

Jio has expanded its “Jio Gemini Pro Plan” to include free access to Gemini 3 for all Unlimited 5G subscribers, not just youth customers.
The plan is valued at around ₹35,100 and is being offered at no extra cost for 18 months, starting today, 19 November 2025.
Benefits include:
- Gemini 3 Pro access in the Gemini app and AI Studio.
- Upgraded Search AI Mode powered by Gemini 3.
- Access to Google Antigravity and an improved version of Gemini Live on Android and iOS.

Activation is done via the MyJio app, where eligible users see a banner (e.g. “Claim Now” or “Early Access”) and can enrol with a few taps. ^[32]

This partnership gives Jio customers what is effectively one of the cheapest ways in the world to use Google’s top‑tier model, and underscores how aggressively Google is pushing distribution via telecom partners. ^[33]

Competitive Context: Gemini 3 vs the Rest of the AI Field

Today’s commentary makes one thing clear: Gemini 3 is not launching into a vacuum.

Google’s “Full‑Stack” Advantage

A detailed analysis from Business Insider points out that with Gemini 3, Google is flexing its full‑stack advantage: ^[34]

Research: Gemini models are built by Google DeepMind.
Hardware: They’re trained on Google’s own TPU chips.
Cloud: Served from Google Cloud infrastructure.
Distribution: Instantly shipped into Search, YouTube, Android, Chrome, Gmail and more.

In contrast, rivals like OpenAI rely more heavily on partners for chips, cloud capacity and distribution channels. That makes it easier for Google to turn a new model into billions of daily user interactions almost overnight. ^[35]

Benchmarks and the “AI Bubble” Debate

Coverage from Wired and TechCrunch emphasises that Gemini 3: ^[36]

Arrives just months after Gemini 2.5 and shortly after new releases from OpenAI (GPT‑5 and 5.1) and Anthropic (Sonnet 4.5).
Claims leading scores on benchmarks like LMArena and Humanity’s Last Exam, with Google arguing that the model is especially good at long‑horizon planning and tool‑using “agents.”

At the same time, executives like DeepMind CEO Demis Hassabis acknowledge concerns about an “AI bubble”: valuations are frothy and infrastructure spending is enormous. But they argue Google is partially insulated because AI is already directly improving core money‑makers like Search, Maps and Workspace, not just experimental chatbots. ^[37]

From “Fixing AI’s Mistakes” to “Guiding a Digital Colleague”

A recurring idea in today’s think‑pieces is that Gemini 3 changes how humans work with AI.

An in‑depth evaluation based on Ethan Mollick’s testing describes how: ^[38]

Gemini 3 can read entire project folders, generate plans, write code, fix errors, browse the web and package results — often needing only high‑level guidance.
Errors increasingly look like the judgment mistakes a human colleague might make, rather than the wild hallucinations people associate with early large language models.
Tools like Antigravity make it feel less like chatting with a bot and more like managing a small digital team that reports back via structured “Artifacts”.

The conclusion from that camp: we’re moving from “humans cleaning up after AI” to “humans directing AI to do work.”Gemini 3 doesn’t make humans obsolete; it demands better human managers who know how to specify tasks, review results and keep agents aligned. ^[39]

How to Start Using Gemini 3 Today (19.11.2025)

Here’s a quick, practical checklist based on today’s availability.

For Everyday Users

In Google Search
- Enable AI Mode / AI Overviews where available. When you see AI‑generated results, you’re very likely hitting Gemini 3 under the hood as of today. ^[40]
In the Gemini App
- Install/update the Gemini app on Android or iOS, or use the web version.
- If you’re on a paid tier (Google AI Plus / Pro / Ultra in supported regions), your chats should be powered by Gemini 3, with new layout and “My Stuff” features rolling out. ^[41]
In India (Jio customers)
- If you have a Jio Unlimited 5G plan, open the MyJio app and look for banners about the upgraded Jio Gemini Pro Plan.
- Claim the offer to get 18 months of Gemini 3 access at no extra charge once your plan is confirmed. ^[42]

For Developers and Builders

Try it in Google AI Studio
- Head to AI Studio, create a project and select Gemini 3 Pro as the model. From there you can prototype chatbots, agents or multimodal apps with a visual interface. ^[43]
Use Gemini 3 Pro in Vertex AI
- In Google Cloud’s Vertex AI Model Garden, choose Gemini 3 Pro (preview) to integrate it into production services with enterprise‑grade security and monitoring. ^[44]
Experiment with Antigravity
- Download Google Antigravity on desktop platforms and connect it to your Google account. You can then let Gemini 3 Pro drive an editor, terminal and browser to build apps, automate workflows and log everything it does via Artifacts. ^[45]

For Enterprises and IT Leaders

Talk to your Google Cloud team about Gemini Enterprise and Gemini 3 Pro access for: ^[46]
- Automating contract review and summarisation.
- Analysing mixed data (documents, images, video, audio) in one place.
- Building internal agents for forecasting, support, planning and more.
Review governance and safety controls; even Google stresses that generative UI and autonomous agents still need human oversight and policy guardrails. ^[47]

Risks, Limitations and Safety

Google is framing Gemini 3 as its “most tested and secure” model so far, with: ^[48]

Extensive red‑teaming and evaluations against prompt‑injection attacks.
Efforts to reduce sycophancy and bias.
A staged rollout of riskier features like Deep Think and fully autonomous agents.

However, multiple articles stress that:

Hallucinations haven’t vanished — they’re just less frequent and more subtle. Users still need to verify important outputs. ^[49]
Granting agents system‑level access (files, browsers, tools) carries real security risks if not sandboxed and monitored. ^[50]

In short: Gemini 3 looks like a large step forward, but not magic. It’s a powerful assistant and collaborator, not an infallible oracle.

Quick FAQ About Gemini 3 (As of 19.11.2025)

When was Gemini 3 released?
Google officially launched Gemini 3 on 18 November 2025, with most coverage and follow‑up deals (like Jio’s offer) going live on 19 November 2025. ^[51]

Where is Gemini 3 available right now?
It’s already integrated into AI Mode in Search, the Gemini app, AI Studio, Vertex AI, Gemini Enterprise, and the new Antigravity coding tool, with regional and subscription limits. ^[52]

Is there a free way to try Gemini 3?
Yes, depending on region. Google offers some free or trial access via its consumer and developer products, and Jio Unlimited 5G users in India can get 18 months of free Gemini 3 access under the upgraded Jio Gemini Pro Plan. ^[53]

How does Gemini 3 compare to GPT‑5 or other frontier models?
Public benchmarks and independent reporting suggest Gemini 3 is at or near the top of many leaderboards, particularly for multimodal reasoning and agent‑style tasks, and in some cases outperforms OpenAI’s latest models. The exact “best model” title depends on which benchmark and use case you care about. ^[54]

Should my organisation switch to Gemini 3 immediately?
Analysts highlight its impressive capabilities but also note open questions about operational risk, governance, vendor lock‑in and migration costs. Many enterprises are expected to run multi‑model strategies, adding Gemini 3 alongside existing OpenAI or Anthropic deployments rather than replacing them overnight. ^[55]

Gemini 3’s first 24–48 hours in the wild are already reshaping the competitive AI landscape: from record‑setting benchmarks and new agent tools to aggressive carrier distribution and full‑stack integration across Google’s products. What happens next will depend less on the model’s raw IQ and more on how quickly people learn to treat it not as a toy chatbot, but as a powerful — and still fallible — digital colleague.

Gemini 3: Bring anything to life