Gemini 3:谷歌AI新标杆,多模态推理重塑智能未来
Gemini 3 is Google DeepMind's latest AI model featuring state-of-the-art reasoning, multimodal understanding, and intelligent agent capabilities. It excels in programming, scientific analysis, and complex task execution with a 1M token context window and multilingual support. (Gemini 3是谷歌DeepMind推出的新一代人工智能模型,具备顶尖推理能力、多模态理解和智能代理功能。它在编程、科学分析和复杂任务执行方面表现卓越,拥有100万token上下文窗口并支持100多种语言。)
Introduction
Gemini 3, the latest flagship AI model from Google DeepMind, represents a significant leap forward in artificial intelligence. It is engineered not merely as a conversational tool but as a powerful reasoning engine and intelligent agent, designed to transform abstract ideas into tangible reality. By integrating state-of-the-art multimodal understanding, profound reasoning capabilities, and robust agentic functions, Gemini 3 sets a new benchmark for what AI can achieve, empowering users across diverse fields to enhance creativity, productivity, and problem-solving.
Gemini 3 是 Google DeepMind 团队打造的新一代旗舰人工智能模型,它不仅仅是一个对话工具,更是一个强大的推理引擎和智能代理。该模型旨在将抽象创意转化为具体现实,通过融合顶尖的多模态理解Gemini 3能够同时处理文本、图像、视频、音频和代码等多种形式信息的能力,在MMMU-Pro测试中达到81%准确率。、深度推理和智能代理三大核心能力,为人工智能领域树立了新的标杆。Gemini 3 能够赋能不同领域的用户,显著提升其创造力、生产力和复杂问题解决能力。
Core Capabilities of Gemini 3
Gemini 3 is built upon a foundation of comprehensive upgrades over its predecessors, delivering an unprecedented AI experience through three pivotal pillars.
Gemini 3 在前代模型基础上实现了全面升级,通过三大核心支柱,为用户提供了前所未有的 AI 体验。
🧠 Advanced Reasoning
Gemini 3 achieves new heights in logical and scientific reasoning. It scored 37.5% on the challenging Humanity's Last Exam and an impressive 91.9% on the GPQA Diamond benchmark, a rigorous test of scientific knowledge. This enables the model to dissect complex problems, understand nuanced contexts, and deliver precise, insightful answers.
Gemini 3 在逻辑和科学推理方面达到了全新高度。它在极具挑战性的 Humanity's Last Exam 中获得了 37.5% 的成绩,并在严格的科学知识测试 GPQA Diamond 中达到了 91.9% 的准确率。这使得模型能够剖析复杂问题,理解细微语境,并提供精准且有深度的答案。
🎯 Multimodal Understanding
The model natively processes and reasons across text, images, video, audio, and code within a single context. It demonstrates exceptional cross-modal comprehension, achieving 81% on the MMMU-Pro benchmark and 87.6% on the Video-MMMU video understanding test.
该模型能够在本机环境中,于单一上下文内处理和推理文本、图像、视频、音频和代码。它展现了卓越的跨模态理解能力,在 MMMU-Pro 多模态测试中达到 81%,在 Video-MMMU 视频理解测试中获得 87.6%。
🤖 Intelligent Agent Capabilities
Gemini 3 functions as a capable agent that can autonomously plan and execute multi-step, real-world tasks. It excels in long-horizon planning, as evidenced by its performance on the Vending-Bench 2 benchmark. Under user supervision, it can handle tasks like booking services or organizing an inbox.
Gemini 3 具备强大的智能代理功能,可以自主规划并执行复杂的多步骤现实任务。它在长期规划方面表现出色,这在 Vending-Bench 2 基准测试的成绩中得到印证。在用户监督下,它可以处理诸如预订服务、整理邮箱等日常任务。
💻 Superior Programming Proficiency
Positioned as one of the most powerful coding AI models, Gemini 3 scored 76.2% on SWE-bench Verified软件工程基准测试,Gemini 3在该测试中获得76.2%的成绩,是目前最强的编程AI模型之一。 and 54.2% on Terminal-Bench 2.0. It provides professional-grade support for everything from zero-shot code generation to complex project development, debugging, and optimization.
Gemini 3 是目前最强的编程 AI 模型之一,在 SWE-bench Verified软件工程基准测试,Gemini 3在该测试中获得76.2%的成绩,是目前最强的编程AI模型之一。 中获得 76.2%,在 Terminal-Bench 2.0 中获得 54.2%。无论是零样本代码生成还是复杂的项目开发、调试和优化,它都能提供专业级的编程支持。
What Can You Do with Gemini 3?
Gemini 3 seamlessly blends learning, building, and planning capabilities, making it a versatile tool for students, developers, and professionals alike to boost efficiency.
Gemini 3 将学习、构建和规划三大能力完美融合,使其成为学生、开发者和职场人士提升效率的多功能工具。
- 📚 Intelligent Learning Assistant - Parse academic papers, translate handwritten notes, and generate interactive flashcards to master new knowledge in the way that suits you best. (智能学习助手 - 解析学术论文、翻译手写笔记、生成互动式学习卡片,以最适合你的方式掌握新知识。)
- 🎨 Creative Content Generation - Leverage its multimodal prowess to quickly produce copy, design mockups, and data visualizations, turning abstract ideas into concrete creations. (创意内容生成 - 利用其多模态能力,快速生成文案、设计方案、可视化图表,将抽象创意转化为具体作品。)
- 📊 Data Analysis & Processing - With a context window of up to 1 million tokens, analyze large datasets and process complex documents to provide data-driven insights for decision-making. (数据分析处理 - 支持高达百万级 token 的上下文窗口,可以分析大型数据集、处理复杂文档,为决策提供数据支撑。)
- 🔧 Code Development Aid - Build applications from scratch with comprehensive support including code generation, debugging, optimization, and project architecture design. (代码开发辅助 - 从零开始构建应用程序,提供包括代码生成、调试优化和项目架构设计在内的完整编程支持。)
- 📅 Task Planning & Execution - Let its intelligent agent help plan your schedule, manage tasks, and automate repetitive work, freeing your time to focus on what matters most. (任务规划执行 - 其智能代理可以帮你规划日程、管理任务、自动执行重复性工作,释放你的时间专注于更重要的事。)
- 🌐 Multilingual Support - Achieving 91.8% on the MMMLU multilingual benchmark, Gemini 3 supports over 100 global languages, breaking down language barriers for seamless cross-lingual communication. (多语言支持 - 在 MMMLU 多语言测试中获得 91.8%,支持全球 100 多种语言,打破语言障碍,实现无缝跨语言交流。)
Performance at a Glance
- 1501 - LMArena Elo Rating (LMArena Elo 评分)
- 95% - AIME 2025 Math Test (AIME 2025 数学测试)
- 1 Million - Token Context Window (Token 上下文窗口)
- 76.2% - SWE-bench Programming Test (SWE-bench 编程测试)
Gemini 3 Deep Think Mode
Deep Think is an enhanced reasoning mode within Gemini 3, specifically architected to tackle the most complex and challenging problems, pushing the model's intelligence to new frontiers.
Deep Think 是 Gemini 3 的增强推理模式,专为解决最复杂和最具挑战性的问题而设计,将模型的智能水平推向新的前沿。
Breaking Performance Boundaries
Gemini 3 Deep Think demonstrates remarkable capabilities: 41% on Humanity's Last Exam, 93.8% on GPQA Diamond, and 45.1% on the ARC-AGI-2 visual reasoning test. This signifies its ability to solve intricate challenges that are traditionally difficult for AI systems.
Gemini 3 Deep Think 展现了惊人性能:在 Humanity's Last Exam 达到 41%,在 GPQA Diamond 达到 93.8%,在 ARC-AGI-2 视觉推理测试中达到 45.1%。这意味着它能够解决传统 AI 系统难以处理的复杂挑战。
Ideal Use Cases
This mode is particularly suited for scenarios demanding deep analytical thought:
- Scientific research and complex mathematical problem-solving (科学研究和复杂数学问题求解)
- Tasks requiring creative and strategic thinking (需要创造性思维和战略规划的任务)
- Multi-step strategic planning and decision-making (多步骤战略规划和决策)
- Advanced programming and algorithm development (高难度编程和算法开发)
Deep Think in Action
- 🔬 Scientific Discovery Aid - Acts as a powerful tool for researchers to reason through complex scientific questions and assist in academic discovery. (科学发现辅助 - 作为研究人员的强力工具,推理复杂科学问题,辅助学术发现。)
- 📐 Conquering Mathematical Problems - Exhibits superior problem-solving skills when faced with high-difficulty math questions compared to standard models. (数学问题攻克 - 面对高难度数学题时,展现出超越标准模型的解题能力。)
- ⚡ Algorithm Optimization & Development - Excels in complex programming scenarios, adept at weighing various solutions and optimizing for factors like time complexity. (算法优化开发 - 在复杂编程场景中表现出色,擅长权衡各种方案,并针对时间复杂度等因素进行优化。)
Practical Application Scenarios
From daily work to professional creation, Gemini 3 is transforming how people interact with AI. Below are its quintessential application scenarios.
从日常工作到专业创作,Gemini 3 正在改变人们与 AI 交互的方式。以下是其典型的应用场景。
- 🎓 Education & Learning - Students can use it to deconstruct complex textbooks, generate study plans, and create interactive review materials. It excels at digesting lengthy academic content and transforming it into digestible formats. (教育学习 - 学生可以使用它来解析复杂教材、生成学习计划、创建互动式复习材料。它擅长理解长篇学术内容并将其转化为易于理解的形式。)
- 💼 Workplace Productivity - Professionals can leverage it for email management, report drafting, and data analysis. Its agent capabilities automate routine, repetitive tasks, significantly boosting work efficiency. (职场效率 - 职场人士可借助其处理邮件、撰写报告、分析数据。其智能代理功能可以自动化处理日常重复任务,大幅提升工作效率。)
- 👨💻 Software Development - Developers utilize it for coding, project debugging, and architecture design. It is accessible via Google AI Studio, Vertex AI, and various third-party platforms. (软件开发 - 开发者通过它进行代码编写、项目调试和架构设计。可通过 Google AI Studio、Vertex AI 和多个第三方平台使用。)
- 🎬 Content Creation - Creators harness its multimodal abilities to generate text, analyze video content, and design visual assets, rapidly transforming inspiration into high-quality output. (内容创作 - 创作者利用其多模态能力生成文字、分析视频、设计视觉内容,帮助创作者快速将灵感转化为高质量作品。)
- 🔬 Scientific Research - Researchers employ the Deep Think mode to analyze complex datasets, validate hypotheses, and explore new research directions, accelerating the pace of scientific discovery. (科研探索 - 研究人员使用 Deep Think 模式分析复杂数据、验证假设、探索新的研究方向,其强大的推理能力加速了科学发现进程。)
- 🏠 Personal Life Assistant - Everyday users can rely on it for information queries, travel planning, and learning new skills, making AI a truly helpful companion in daily life. (生活助手 - 普通用户可在日常生活中使用它查询信息、规划旅行、学习新技能,让 AI 真正成为每个人的贴心助手。)
Frequently Asked Questions
Q: How is Gemini 3 different from Gemini 2?
A: Gemini 3 represents a comprehensive upgrade over Gemini 2, featuring significantly stronger reasoning capabilities, more precise instruction following, and more reliable agent functions. It consistently and substantially outperforms models like Gemini 2.5 Pro across a wide range of benchmarks.
Gemini 3 在 Gemini 2 的基础上实现了全面升级,具备更强的推理能力、更精准的指令理解,以及更可靠的智能代理功能。在各项基准测试中,Gemini 3 均显著超越 Gemini 2.5 Pro 等模型。
Q: How can I start using Gemini 3?
A: You can experience Gemini 3 directly through the Gemini app or via AI Mode in Google Search. Developers can access the Gemini 3 API for integration and development through Google AI Studio or Vertex AI.
你可以通过 Gemini 应用直接体验 Gemini 3,也可以在 Google 搜索的 AI Mode 中使用。开发者可通过 Google AI Studio 或 Vertex AI 接入 Gemini 3 API 进行开发和集成。
Q: What languages does Gemini 3 support?
A: Gemini 3 supports over 100 global languages, achieving a 91.8% accuracy rate on the MMMLU multilingual benchmark. It delivers high-quality responses whether you interact in Chinese, English, or numerous other languages.
Gemini 3 支持全球 100 多种语言,在 MMMLU 多语言测试中达到 91.8% 的准确率。无论你使用中文、英文还是其他多种语言,Gemini 3 都能提供高质量的响应。
Q: How do I use the Gemini 3 Deep Think mode?
A: The Gemini 3 Deep Think mode will be available to Google AI Ultra subscribers. This mode is specifically designed for complex tasks requiring deep reasoning and is well-suited for applications in scientific research, advanced programming, and similar challenging domains.
Gemini 3 Deep Think 模式将向 Google AI Ultra 订阅用户开放。该模式专为需要深度推理的复杂任务设计,非常适合科研、高难度编程等应用场景。
Q: How is safety ensured with Gemini 3?
A: Gemini 3 is Google's safest AI model to date, having undergone comprehensive safety evaluations. It features stronger defenses against prompt injection attacks, reduces sycophantic responses, and has been independently assessed in collaboration with multiple external safety experts.
Gemini 3 是谷歌迄今最安全的 AI 模型,经过了全面的安全评估。该模型具备更强的抗提示注入攻击能力,减少阿谀奉承式回复,并与多个外部安全专家合作进行了独立评估。
版权与免责声明:本文仅用于信息分享与交流,不构成任何形式的法律、投资、医疗或其他专业建议,也不构成对任何结果的承诺或保证。
文中提及的商标、品牌、Logo、产品名称及相关图片/素材,其权利归各自合法权利人所有。本站内容可能基于公开资料整理,亦可能使用 AI 辅助生成或润色;我们尽力确保准确与合规,但不保证完整性、时效性与适用性,请读者自行甄别并以官方信息为准。
若本文内容或素材涉嫌侵权、隐私不当或存在错误,请相关权利人/当事人联系本站,我们将及时核实并采取删除、修正或下架等处理措施。 也请勿在评论或联系信息中提交身份证号、手机号、住址等个人敏感信息。