What is Gemini 3? How to use Gemini 3? Google's Most Powerful AI Model Series To Date

If Gemini 1 is seen as Google’s important starting point toward multimodal language models, and Gemini 2 represents a key step toward maturity, then Gemini 3 is undoubtedly the mark of Google shifting into "full throttle" in the AI race. From enhanced reasoning capabilities and deeper multimodal understanding to more sophisticated tool integration and task execution, Gemini 3 is no longer just a traditional AI model—it is more like an intelligent collaborative system that can help users "read, analyze, plan, and execute."

Many users have reported: "With the launch of Gemini 3, I feel for the first time that AI is not just about answering questions but actually helping complete tasks."

What is Gemini 3? Google’s Most Powerful AI Model Series to Date

Gemini 3 is the latest multimodal AI model developed by Google DeepMind, hailed as Google’s "smartest and most capable large language model" to date. Its inaugural version, Gemini 3 Pro, has been officially integrated into Google Search AI mode, the Gemini application, and Google AI Studio, becoming the core engine powering Google’s AI product ecosystem.

Compared to its predecessors, Gemini 3’s upgrades focus on three main areas: reasoning capabilities, multimodal understanding, and tool integration. Specific features include:

Adjustable Reasoning Depth: Gemini 3 Pro allows users to customize the "thinking depth." Setting the thinking level to "Low" provides the fastest response speed, while the default "High" level involves deeper contemplation before replying, making it suitable for complex tasks requiring precise reasoning.

Custom Media Resolution: Users can adjust the processing granularity for images, PDFs, or videos based on their needs. Higher resolution allows the model to recognize more details but consumes more tokens, enabling a balance between efficiency and detail requirements in different scenarios.

Enhanced Multi-Turn Conversation Memory: Gemini 3 Pro can retain the context of previous conversations, making responses in continuous dialogues or complex reasoning tasks more accurate and coherent.

Vibe Coding and Tool Integration: It demonstrates greater maturity in task execution, capable of not only writing code and debugging but also collaborating with various tools, such as performing Google searches, reading web content, or engaging in Vibe Coding.

Upgraded Multimodal Understanding: Gemini 3 Pro has comprehensively enhanced its analysis capabilities for images, PDFs, and videos, offering more accurate recognition, richer details, and a better understanding of contextual content within visuals.

Currently, Gemini 3 Pro is available through both "Free Trial" and "Paid Plan" options. The free plan is limited to Google AI Studio and does not offer API access. For higher usage quotas or advanced features such as agent mode, extended reasoning, or faster computational speeds, users can upgrade to Google AI Plus, Pro, or Ultra plans.

What Unique Advantages Does Gemini 3 Offer Compared to Other AI Models?

Gemini 3 not only possesses advanced reasoning capabilities and cross-text-and-vision multimodal understanding but also features agentic abilities to autonomously execute tasks using tools and environments. These characteristics make it more than just a chatbot—it acts like an intelligent partner capable of deeply understanding needs and effectively handling complex tasks.

Highlight 1: Comprehensive Upgrade in Reasoning Capabilities

One of Gemini 3 Pro’s most standout advantages is its exceptional reasoning ability. In the HumanEval academic reasoning test, it scored 37.5%, surpassing previous generations and comparable models. In the GPQA Diamond scientific knowledge test, it achieved an outstanding 91.9%, approaching doctoral-level proficiency.

Additionally, Gemini 3 Pro allows users to customize the "thinking depth." Setting the thinking level to "Low" enables quick responses suitable for everyday questions, while the default "High" setting involves deeper contemplation before answering, ideal for complex tasks. This flexible thinking mode allows users to balance speed and accuracy based on task requirements.

In practical applications, this means that when facing complex business decisions or research challenges, Gemini 3 can perform multi-step reasoning and self-checking instead of hastily providing seemingly plausible but inaccurate answers. This deep-thinking capability makes it excel in high-stakes scenarios like risk analysis and strategic planning.

Highlight 2: Truly Multimodal Understanding

Gemini 3 Pro boasts a context window of up to 1 million tokens, far exceeding the 400,000-token limit of many comparable models. With such an extensive context length, Gemini 3 can:

Read an entire thick book or research report in one go for comprehensive analysis

Process an entire codebase to assist with refactoring, debugging, or generating technical documentation

Maintain consistent understanding across complex content mixing videos, PDFs, and images

Simultaneously, Gemini 3 leads in multimodal tests like MMMU-Pro and Video-MMMU, demonstrating more stable performance in interpreting charts, screen layouts, and video contexts. Its adjustable media resolution design also allows users to balance processing precision and resource consumption based on needs.

Highlight 3: AI Development Workflow from Sketch to Functional Website

Vibe Coding is a breakthrough feature of Gemini 3, elevating it from a "coding assistant" to a "design partner that can write code."

Specifically, you can upload hand-drawn UI sketches, and Gemini 3 Pro will parse the buttons, layouts, and interactive relationships, automatically generating corresponding HTML, CSS, JavaScript, or React code. You can also use abstract descriptions (e.g., "I want a Cyberpunk-style 3D dashboard") to let the model handle both visual and interactive details.

In development-related evaluations like WebDev Arena, Gemini 3 Pro ranked first with a high Elo score of 1487, proving its overall strength in web and interactive interface generation. For developers, it not only completes code but also assists from the "concept" stage all the way to the realization of an "executable prototype."

Highlight 4: More Mature AI Agent Capabilities

Since Gemini 2, Google has integrated the "Agent" concept into product design, and Gemini 3 further matures this capability. In the Vending-Bench 2 long-term planning test, Gemini 3 Pro simulated running a vending machine business for one year, ultimately achieving far greater returns than its predecessor and competitors, demonstrating its ability to maintain stable strategies in long-term tasks.

When used with Google Antigravity, the agent can directly operate editors, terminals, and browsers to assist with end-to-end development tasks. In Search AI mode, Gemini 3 can also automatically generate interactive tools based on queries, such as mortgage calculators, physics simulations, or data visualization interfaces.

These mature agent capabilities hold high practical value for businesses and developers needing to automate complex workflows.

Highlight 5: Reduced Hallucination Rate, More Accurate and Reliable Responses

In introducing Gemini 3 Pro, Google specifically emphasized its response style as "smart, concise, direct," and "inclined to tell you the facts you need to know, not what you want to hear."

In tests like SimpleQA and FACTS Benchmark, Gemini 3 Pro’s factual accuracy significantly outperformed its predecessor and most competitors, meaning it has a lower probability of severe hallucinations in general information queries and explanatory tasks.

This commitment to factual accuracy makes Gemini 3 a more reliable partner in scenarios demanding high precision, such as academic research, data analysis, and decision support.

The following table compares Google Gemini 3 Pro and GPT-5.1 to provide a deeper understanding of Gemini 3’s strengths:

	Google Gemini 3 Pro	OpenAI GPT-5.1
Developer	Google DeepMind	OpenAI
Model Positioning	Flagship multimodal model, strong reasoning & agent capabilities	Flagship general-purpose model, strong language generation
Core Architecture	Natively multimodal architecture	Text-core extended with multimodal capabilities
Reasoning Ability	Excellent academic reasoning (HLExam: 37.5%, GPQA Diamond: 91.9%), supports multi-step reasoning	Strong general reasoning, lags behind Gemini 3 in some scientific reasoning tests
Math Capability	Outstanding advanced math performance, 100% problem-solving rate on AIME 2025 with code execution	Stable math performance, usually falls short on advanced contest problems
Multimodal Capability	High native multimodal integration, leads in MMMU-Pro & Video-MMMU, excellent video reasoning	Possesses multimodal capabilities, less prominent in video reasoning & long video analysis
Long Context Handling	Supports 1 million tokens, can handle large codebases & long documents	Context length significantly increased but not at Gemini 3's million-token level
Coding Ability	Revolutionary Vibe Coding, WebDev Arena: 1487 Elo (1st), generates front-end prototypes from sketches	Excellent code generation & completion, limited support for project-level development
Agent Capability	Mature agent architecture, excellent performance in Vending-Bench 2 long-term planning	Basic agent capability present, lower execution depth
Tool Integration	Deep integration with Google ecosystem (Search, Gmail, Calendar, etc.)	Relies on external plugins & APIs, complementary integration
Factual Accuracy	Designed for low hallucination rate, excellent performance in SimpleQA & FACTS Benchmark	Fluent but with hallucination risk, requires additional fact-checking
Response Style	Direct, concise, fact-oriented	Fluent, natural, strong conversational feel
Main Advantages	Complex reasoning & analysis, multimodal data integration, long document processing, coding & prototyping, automated task execution	Natural language generation, creative writing & content creation, conversational interaction, general problem-solving, rapid prototyping
Ideal User Base	Engineers & dev teams, researchers & analysts, data scientists, professionals needing cross-data integration	Writers & content creators, marketers, customer service applications, education & training, general business users
Use Cases	Cross-format data analysis, coding & refactoring, research & academic work, complex automation, technical document processing	Copywriting generation & optimization, content creation & rewriting, customer service dialogues, creative brainstorming, quick Q&A
Ecosystem	Deeply integrated with Google ecosystem (Workspace, Cloud, Search)	Integrated via API with various applications, partner ecosystem

As evident, both models have their own strengths, and the choice should be based on specific use cases and needs. For users requiring complex multimodal task handling and valuing reasoning depth, Gemini 3 Pro may be the better choice; for those focused on text creation and desiring a natural conversational experience, GPT-5.1 might be more suitable.

How to Use Gemini 3? Who Is It For?

Using Gemini 3 Pro is very straightforward. Simply access it through Google Gemini or Google AI Studio. Open the Gemini webpage, where the default model selection in the bottom right is "Fast (2.5 Flash)"—click to switch to "Thinking (3 Pro)."

Here’s how Gemini 3 can address various needs for different users:

User Group	Needs It Can Solve	Practical Usage Methods
Students & Researchers	Organize large amounts of learning materials, understand complex concepts, assist with reasoning and checking arguments	Upload thesis PDFs, lecture recordings, and handouts to Gemini 3 for summarization; create interactive flashcards or practice questions; use Deep Think to check mathematical or scientific derivations for potential errors or blind spots.
Professionals & Businesspeople	Quickly consolidate market information, create presentations, manage emails and schedules	Use Search AI mode for market data aggregation, competitor analysis, business model analysis; organize presentation structures and decision summaries; use Gemini Agent to manage Gmail, generate reply drafts, and schedule appointments.
Engineers & Product Teams	Accelerate development, quickly generate prototypes, streamline workflows	Use Vibe Coding to turn sketches into executable front-end prototypes; have Gemini 3 read entire codebases to help find bugs or supplement technical documentation; use natural language in Gemini CLI to ask the agent to operate Git, diagnose Cloud Run, or generate project structures.
Content Creators & Media	Consolidate multi-source data, speed up content creation, adapt content for multiple platforms	Read video or livestream transcripts to quickly generate outlines and summaries; upload charts, screenshots, and PDFs together to write simplified guides or tutorials; adapt the same content for social media, newsletters, or short video scripts.

Overall, Gemini 3 Pro can already achieve many impressive results. Many users share that simply uploading a photo with a simple command can transform it into an animation; others generate interactive map apps with just a few sentences. From personal websites and web widgets to small web games, Gemini 3 Pro can produce operational versions in a very short time, enabling even non-coders to turn ideas into creations.

To help everyone gain a deeper understanding of Gemini 3 Pro's usage, here are its most common and practical applications:

Integrate PDF, Image, and Video Content

When processing data in different formats, Gemini 3 Pro can read PDFs, images, screenshots, and video content in one go, summarizing key points into summaries, lists, or comparison tables. There's no need for prior conversion or disassembly, significantly reducing time spent organizing information.

Recognize and Organize Handwritten Content, Notes, and Scanned Documents

Faced with handwritten notes, meeting whiteboards, or scanned documents, Gemini 3 Pro can understand the content, transcribe text, and interpret the true meaning based on context. It not only converts text but also helps organize it into lists, summaries, or structured data.

Assist in Verifying Ledgers and Checking Numerical Reasonableness

For example, it can check if amounts, units, or totals in an account book are incorrect. After reading the content, Gemini 3 Pro can perform calculations and comparisons, explaining the reasoning process. It helps identify "numerical anomalies," allowing you to confirm data accuracy faster—especially useful for large volumes of tables or cross-page information, saving significant manual checking time.

Generate Basic Website Widgets

If you need to create simple website widgets, such as video editing tools, subtitle adders, countdown timers, random password generators, or map queries, Gemini 3 Pro can generate working basic prototypes based on descriptions. The model breaks down requirements into executable web or front-end code, letting you test concepts immediately without building from scratch.

Generate Basic 3D Scenes or Interactive Mockups from Descriptions

If you need to showcase spaces, game scenes, or interactive concepts, Gemini 3 Pro can use methods like Three.js to generate simple 3D worlds, such as block terrain, lighting effects, or movable viewpoints. While not equivalent to a full game, such content is suitable for design proposals or initial demos, making concepts more concrete.

Gemini 3 represents a significant milestone in AI technology, leading not only in technical metrics but also achieving new heights in practicality and accessibility. From complex reasoning tasks to daily work assistance, from programming development to content creation, Gemini 3 provides powerful support.

As AI technology continues to advance, mastering how to effectively utilize these tools has become an essential skill in the digital age. The emergence of Gemini 3 lowers the barrier to AI application, allowing more people to experience the efficiency improvements and creative liberation brought by AI.