Gemini 3Translation site

What is Gemini 3?

Gemini 3 is a next-generation, large-scale, multimodal language model launched by Google on November 18, 2025, positioned as a “top-of-the-line thinking tool” designed to solve complex reasoning, deep analysis, and multi-step tasks. Its core strengths areNative Multimodal Understanding(Seamless processing of text, images, video, audio, code),Doctoral level reasoning skills(outperforms competitors such as GPT-5 in multiple tests) andExtra Long Context Window(Support 1 million tokens, about 700 pages of English books). The model release is deployed to Google Search AI mode, Gemini application, VertexAI and other core products, and open API interface for developers to call.

Key features of Gemini 3

1. Multimodal Understanding and Creation
   • cross-modal association: The ability to decipher the core ideas of a 2-hour long 4K video, turn a scientific paper into an interactive guide, and even write code to visualize the plasma flow of a tokamak device.
   • Generative UI: Dynamically generate customized interfaces according to user requests, e.g. enter “Generate Retro 3D Spaceship Game”, the model can directly output interactive HTML/CSS/JavaScript code.
   • art: Support for music generation (e.g. original song "Neon Horizon" with animation), SVG vector graphic design (e.g. pelican on bike test graphic).
2. Deep Reasoning and Planning
   • Complex task disassembly: Score of 37.51 TP4T on the Human Limit Exam (HLE) (without tools) and GPQA Diamond test accuracy of 91.91 TP4T, surpassing the GPT-5.1“s 87.61 TP4T.
   • Long-term planning capacity: In the Vending-Bench 2 benchmark test, which simulates running a one-year vending business, the final fund balance of $5,478.16 was well ahead of the second-place finisher, Claude Sonnet 4.5.
   • Deep Think model: In Augmented Reasoning Mode, the ARC-AGI-2 test score of 45.11 TP4T can handle ultra-difficult tasks such as scientific research problem disassembly and long-range task planning.
3. Code generation and development support
   • full-stack development capability: Supports complete generation from script to game, e.g. one sentence generation of Mini My World 3D pixel game (WASD controls movement).
   • Enterprise Tools: Topped the WebDev Arena charts with a Terminal-Bench 2.0 test score of 54.21 TP4T and a SWE-bench Verified benchmark of 76.21 TP4T, well ahead of Gemini 2.5 Pro.
   • Development Platform Integration: Through the Google Antigravity platform, developers can utilize the model to write and verify code autonomously in browsers, IDEs, and terminals.
4. Agent capabilities
   • Proactive mandate implementation: Automatically organizes mailboxes, plans travel itineraries (with schedules, transportation, and budgets), and performs multi-step complex tasks (such as booking restaurants and filtering outdoor seating).
   • Cross-application collaboration: In the simulation test, the model can autonomously open the browser to search for information such as OpenAI GPT-5.1, organize summaries and generate program scripts.

Scenarios for Gemini 3

1. Research and Education
   • Literature analysis: Interpreting the core ideas of a paper and generating interactive abstract cards or visual charts.
   • Design of experiments: aids in the design of plasma flow visualization codes for tokamak devices.
2. content creation
   • Multimedia generation: create poems, music, games and SVG vector graphics.
   • Long Video Interpretation: extracts the core ideas of a 2-hour video and generates a summary.
3. Business & Development
   • Software development: automate end-to-end coding and increase efficiency with the Antigravity platform.
   • Data analysis: Interpret financial reports, optimize risk models, and support video diagnosis of equipment failures.
4. everyday lives
   • Task planning: generate a 10-day video shoot schedule with alternatives and a pros and cons analysis.
   • Learning aids: turn academic papers into interactive tutorials, analyze pétanque game videos and develop training programs.

How to use Gemini 3?

1. Free Experience Channel
   • AI Studio Platform: Sign in to your Google account, select the Gemini 2.5 Pro model, and trigger the A/B test by repeatedly clicking the “Rerun” button (some users will be able to experience an earlier version of the Gemini 3 Pro).
   • Third-party mirror sites: such as Blue Whale AI (chat.lanjingai.org) and Xsimple (xsimplechat.com), which support direct domestic connections and offer Gemini 2.5 Pro and some multimodal features.
2. Developer Access
   • API call: API key acquisition via Google AI Studio or Vertex AI, support for 1 million token context windows, tiered pricing (up to 200,000 tokens input/output pricing is$2.00/$(12.00 per million tokens).
   • Platform integration: Call Gemini 3 for development on third-party platforms such as Cursor, GitHub, JetBrains, and more.
3. Advanced Features Unlocked
   • Deep Think model: Open to Google AI Ultra subscribers in the coming weeks for scenarios such as scientific research, complex task planning, and more.
   • Antigravity platformThe company supports Mac, Windows, and Linux systems, transforming AI from a tool to a “proactive partner”.

Recommended Reasons

1. technological leadership
   • Multi-modal ceilings: Setting new records in tests such as MMMU-Pro (81%) and Video-MMMU (87.6%), realizing cross-modal logic correlation.
   • fault line leading in reasoning: #1 in LMArena Text, Visual, and WebDev rankings, with an Elo score of 1501, outperforming GPT-5.1 and Grok 4.1.
2. Application landing speed
   • Publish-as-Integrated Search: The first synchronized online Google Search Core Portal to drive AI-generated search results covering billions of requests.
   • Enterprise level support: Provides full-link support from code generation to business planning through VertexAI, Antigravity platform.
3. User Experience Innovation
   • Generative UI: Dynamically generate customized interfaces to improve interaction depth and dwell time.
   • Intelligent Body Proactive Services: Shift from “passive answers” to “active execution”, e.g., automatically organizing mailboxes and making restaurant reservations.
4. Security and Compliance
   • Comprehensive security assessment: Undergoes the most rigorous security testing in the history of Google's AI models to reduce flattering answers and defend against prompt injection attacks.
   • Enterprise level protection: Built-in Model Armor feature to shield risky requests and safeguard data.