What Is Gemini 3?
Recent Multimodal Model: Gemini 3 is currently the most sophisticated AI model developed by Google that is able to read, comprehend, and reason a text, image, video, audio, and code.
Powerhouse of Reason: It is created to think at a higher level of finer reasoning. Gemini 3, as claimed by Google, is better at depth and nuance than its predecessors.
Big Context Window: Can support a large context window -1 million tokens.
Key Features & Improvements
Deep Think Mode
Google is also launching a special mode known as Gemini 3 Deep Think, which extends reasoning ability to more complex and demanding tasks.
Deep Think performs better than the Pro version in several rigorous AI benchmarks.
Capabilities of Agents & Coding
Gemini 3 has high agentic skills: it can plan, make use of tools, and multi-step workflow.
TechCrunch
Google introduced a new development platform known as Google Antigravity an agent-first IDE in which Gemini 3 agents can use the editor, terminal, and browser to compile, test, and execute code.
Enhanced vibe coding: Gemini 3 will be more successful at understanding the intent of the user, and thus you will need less prodding to get interactive UIs or apps created.
Search Integration & Generative UI
Gemini 3 is incorporated into Google Search (AI Mode) directly by default.
It is capable of building dynamic visual layouts and simulations in the response - not plain text only, but interactive tools, tables, and custom made visuals depending on your query.
The model is applied on an ad-hoc basis: Google applies the Gemini 3 model to more difficult or complex queries, whereas a lighter model can be used by simpler ones.
Learning & Personal Use
Gemini 3 is constructed so that users can learn more efficiently: It is capable of absorbing academic articles, lengthy videos or lectures, and creating interactive visuals, flashcards or summaries.
To be more creative in the area of learning, it can watch videos of athletics (e.g. your pickleball match) and develop a training plan based on it.
It may also assist in cultural memory preservation - e.g. scribble to a more shareable cookbook by translating and digitizing handwritten recipes in various languages.
Benchmark Performance
At the theory of reason benchmarks, Gemini 3 Pro was rated at 1501 Elo on the LMArena (human satisfaction based benchmark).
It performs very well in academic and logical activities: in the Humanitys Last Exam benchmark, Gemini 3 Pro scored 37.5%.
On math, it made history: 23.4% MathArena Apex.
In the case of multimodal QA and factual accuracy, it got a score of 81% on MMMU-Pro, 87.6% on Video-MMMU, and 72.1% on SimpleQA Verified.
Safety & Security
According to Google, Gemini 3 has undergone the most thorough line of safety checks of any of its AI models so far.
It is better resistant to being injected right away, it is less likely to attract sycophancy (i.e. becoming flattering, not due to any good reason), and it is more resistant to abuse.
Google has engaged the services of external safety testers including independent experts.
Availability & Use Cases
Gemini app: Gemini 3 Pro is also found in the app.
The Express Tribune
Google Search (AI Mode): This is available to Google AI Pro and Ultra subscribers.
Developers: It is available on Gemini API, Google AI Studio, Vertex AI, and new Google Antigravity platform.
Enterprise: Gemini 3 is also provided through Google enterprise services through Vertex AI and Gemini Enterprise.
Deep Think Mode: Will first be deployed to safety testers, and then to Google AI Ultra subscribers.
Why This Matters
Advance in AI Reasoning: The leap forward in thinking, not only in surface tasks but in depth and multi-step reasoning, might make AI really more useful in doing complex tasks.
Making Agentic Workflows More Democratic: Antigravity Antigravity is driving Google towards increasingly agentic AI agents, not merely assistants, but partners who are able to plan and act.
Search Reimagined: Generative UIs in Google Search would be a potentially radical transformation in the practicalities of search, instead of receiving textual responses you might be presented with interactives, tools and graphics.
Safety Concentration: Due to the interest in misusing AI, the focus on safety testing and protection against general hazards at Google is a good omen.
Competition is Further Pressurized: This brings additional stress to OpenAI, Anthropic, and other developers of frontier models. Gemini 3 appears to be well aimed to be a head on competitor.
