在默认的高思考档上，Gemini 4 Hydrogen在Artificial Analysis Intelligence Index上的分数是51，Gemini 4 Argon是50。把思考强度开到最高的xhigh档，Hydrogen会到54。

这篇说明由Google DeepMind高级副总裁、Google首席AI架构师Koray Kavukcuoglu撰写，发布日期是2026年11月12日。官方把Hydrogen写成日常编码和多样化智能体工作流里的快速执行模型。Carbon和Argon仍被写成处理最难、最长程推理任务的前沿模型。

价格按整段100万token上下文一口价计算：每百万输入1.50美元，每百万输出7.50美元。

它今天向所有档位的Google AI Studio、Gemini API、Gemini for business、Gemini应用和Google搜索开放。付费的Google AI Pro和Ultra用户，也可以在Google Antigravity里使用。

同一会话里，Carbon做判断，Hydrogen去写和测

作者写到，真实软件开发里，团队仍会把系统设计、难排的错误这类需要深层判断的工作交给Carbon或Argon，同时需要一个更快、更守纪律的模型去写代码、跑测试和核对改动。Hydrogen既可以单独承担日常工作，也可以在多模型工作流里当执行引擎。

为了让这种搭配自动发生，他们在Google Antigravity里推出了Orchestrator。它不再从头到尾只用一个模型，而是在同一会话里在Carbon和Hydrogen之间动态切换。官方给出的数字是：在Terminal-Bench 4.0上，Orchestrator的任务成功率接近Carbon，平均少消耗24%的配额，完成速度快19%。

需要并行智能体时，官方的写法是：Carbon可以做协调者，Hydrogen可以给工人和验证者供电，在隔离的工作区里同时构建和测试改动。作者说，这样有助于更快交付复杂项目，同时不把token成本推上去。这些是官方基准和产品说明，不是本文的复测。

从3.8 Flash迁过来，默认高档快2.5倍

官方把Hydrogen写成从Gemini 3.8 Flash迁过来的一次单独升级。在默认的高思考档上，它完成任务的速度是3.8 Flash的2.5倍；在Terminal-Bench 4.1上，分数从18.2%升到57%，编造性声明减少超过5倍。作者还写，工具调用失败或搜索结果为空时，它能干净地改道。

仓库里的迭代写代码和排错，被写成更集中、更手术式的修改，尽量不重写无关文件。它在SWE-sweep上超过同档模型，这项评估要求找出并修好缺陷，同时不能把已有代码弄坏。官方还说，它会并行批量读取文件和搜索，而不是一份一份看。合作伙伴在复杂图、SQL和偏数据的企业工作流里做的早期测试是：比3.8 Flash快2倍到2.8倍，token用量减少12%到23%。

开放式智能体执行方面，Hydrogen在arena.ai的实时榜Agent Arena上排第5。偏领域的推理和分析里，它在HLE-Diamond上以**58.8%领先同档，在Vals Tax Agent Bench上以52.3%排总分第一，在Vals Legal Research Bench上以55.8%**并列第一，并在AutomationBench-AA上领先同档。

多模态知识工作的输入窗口是原生100万token，输出最多也是100万token，用来把密集的PDF、表格、图表、音频和录制视频整理成带引用的报告和结构化交付物。新的Multimodal Knowledge Agent基准上，它拿到53.4%；在Agents’ Last Exam v1.1上是71.6%。网页开发被写成能用更少的提示，生成更完整、更能直接用的布局。

官方还列了几项演示：Geminisland让人用一句提示，在共享的体素岛上生成可走进去看的结构，并提供了在线应用；配上Google Antigravity里新的Gemini前端设计技能，它一次性做了一个带WebGL2地形着色器、四段滚动叙述、热力分屏、三维线框规格卡和实时饰面配置器的电商首页，也可打开在线应用和技能仓库；在Antigravity里，它把Google表格缩成像素画布，用Python、原生=LET(...)公式和条件格式播放动画；它还从一段YouTube主题演讲和一份设计模板出发，直接在Google幻灯片里生成多页演示，并自动检查重叠文字、整理版式。在Sheets的画布里，官方说它把财务数据做成可调的预测模型，生成输出的速度比之前的模型快**30%**以上。这些是官方对自己演示的描述，不是本文复测。

四个思考档，默认是high

Hydrogen提供四档思考强度：low、medium、默认的high，以及新的xhigh。官方的说法是，质量、延迟和成本会按可预期的方式递进，只为任务需要的推理深度等待和付费。他们还写，在各档上，Hydrogen能达到或超过部分同档竞争模型，而且常常更快完成，输出token也更少。

官方在这一节放了五张图，替代文本分别指向Artificial Analysis Intelligence Index的分数与耗时、AutomationBench-AA、AA Index 5.01、Terminal-Bench 4.0和HLE-Diamond。正文没有再给这些图的逐点读数，这里只按官方图题来放置。

Gemini应用和搜索里，免费用户要经过自动选模型

面向消费者，官方说Hydrogen更跟得上指令，多轮对话里更不容易跑偏。在Gemini应用里，它被写成更常调用合适的工具和技能，草稿、学习指南和改写也更接近指定的语气和格式。它可以从上传文件、Gmail、Google Drive，以及Airtable、Dropbox这类已连接应用里取上下文。一个被点名的例子是：把全球实时雷击数据做成交互三维地球。官方还提到，它用纯数学和SDF纹理做了一个WebGL2的水和玻璃可视化，并用自定义的视频剪辑技能，按创意简报从公版素材里剪了一条关于氢元素的宣传片。这些同样是官方演示说明。

搜索侧的改动写成三件事：更能理解带错字、多段要求的自然问法；回答更视觉化、更好扫；查询扇出技术升级后，会连到更广的相关链接。配图是三张手机截图，把Gemini 3.5 Flash和Gemini 4 Hydrogen并排对照，官方替代文本分别是修公寓、波士顿街区和运动鞋。

免费用户在Gemini应用里，会在自动选模型打开且系统判断合适时用到Hydrogen。脚注链到Google支持页，那里还写：大多数提示会用Flash-Lite快速作答，需要更多推理的提示可能用Flash或Pro。付费用户可以在模型下拉菜单里直接选Hydrogen。

安全数字要和官方条件放在一起看

官方说，Hydrogen把Gemini 4最新的安全和安保堆栈带到了更广的用户。和3.8 Flash相比，它在智能体任务里把越权最多降81%，服务不足最多降79%，并在工具使用和编码评估里，把错位动作和偷工减料降到十二分之一。面对不可能完成或被阻断的任务，它越过权限边界的可能性最多降到原来的一半，在内部智能体诚实评估上的诚实率是96.7%。

在推理透明度上，官方写的是：超过20万轮审计里，思维链可读性保持99.9%，欺骗性的推理编辑为零。间接提示注入方面，它在Gray Swan IPI基准上的韧性提高超过2.3倍，并写到在工具使用、计算机使用和编码智能体上的稳健性也有明显改进。日常对话里，更新后的防护在真实生物安全风险和正当医学或科学问题之间更精确，HealthBench Pro上的误拒低于0.4%。

这些数字来自官方评估和内部基准，不是本文复测。更多细节在Gemini 4 Hydrogen模型卡里。

如果要试用，开发者可以从Google AI Studio调用gemini-4-hydrogen。想把Carbon或Argon的判断和Hydrogen的执行放在同一会话里，官方指向Google Antigravity里的Orchestrator。价格、配额和免费用户能用到哪一档，以当时页面和脚注为准。

原文附带媒体

原文附带媒体；未核验其与具体段落的对应关系。

Introducing Gemini 4 Hydrogen

Nov 12, 2026

Hydrogen brings cutting-edge intelligence to everyone.

Koray Kavukcuoglu
SVP, Google DeepMind and Chief AI Architect, Google

URL: https://blog.google/innovation-and-ai/models-and-research/gemini-models/introducing-gemini-4-hydrogen/

Today, we’re introducing Gemini 4 Hydrogen, bringing cutting-edge intelligence to everyone — with speed and efficiency for everyday coding and agentic workflows.

While our frontier models, Gemini 4 Carbon and Gemini 4 Argon, excel at deep, long-horizon reasoning on your hardest problems, Hydrogen is built for rapid execution across diverse agentic workflows. With Hydrogen, we’re also bringing Gemini 4 to everyone — for all tiers of Google AI Studio, the Gemini API, Gemini for business, the Gemini app, Google Search, and paid Google AI Pro and Ultra subscribers in Google Antigravity.

Hydrogen surpasses Argon on the Artificial Analysis Intelligence Index at its default high thinking level (51 vs. 50, and reaching 54 at its highest xhigh thinking setting), while often completing tasks faster than models in its class. Gemini 4 Hydrogen is priced flat across its entire 1 million-token context window at $1.50 per million input tokens and $7.50 per million output tokens.

Unlocking efficiencies in multi-model workloads

In real-world software development, while teams rely on frontier models like Carbon and Argon for deep architectural judgment when designing systems or untangling subtle bugs, they still need a fast, disciplined execution model for writing code, running tests, and verifying changes. Hydrogen is built to stand on its own as a model for everyday work — or to pair with Carbon and Argon as the high-efficiency execution engine in multi-model workflows.

To help make this multi-model collaboration automatic, we’re introducing Orchestrator in Google Antigravity. Rather than using a single model from start to finish, Orchestrator dynamically switches between models like Carbon and Hydrogen within the same session. On Terminal-Bench 4.0, Orchestrator reached near-Carbon task success rates while, on average, consuming 24% less quota and completing 19% faster. For workflows that require parallel agents, Carbon can act as the coordinator while Hydrogen can power worker and verifier agents to build and test changes simultaneously across isolated workspaces — helping teams ship complex projects faster without driving up token costs.

Scaling developer and enterprise workflows

Beyond multi-model workflows, Hydrogen is a major standalone upgrade for teams migrating from Gemini 3.8 Flash. It delivers significant leaps in both speed and intelligence — finishing tasks 2.5 times faster at its high default setting while more than tripling Terminal-Bench 4.1 scores (57% vs. 18.2%), cutting fabricated claims by more than 5x, and adapting cleanly when a tool call fails or a search returns empty. It also matches or outperforms competing models in its class across core developer and enterprise workflows:

• Iterative repository coding and debugging: Hydrogen handles issue resolution, debugging, rapid iteration, and codebase Q&A with focused, surgical edits — delivering cleaner, production-ready code without rewriting unrelated files. It outperforms similar-tier models on SWE-sweep where it has to discover and repair bugs without breaking existing code. To explore large repositories efficiently, the model excels at natively batching file-read and search calls in parallel rather than inspecting files one by one; in early testing across complex graphs, SQL, and data-heavy enterprise workflows, our partners have seen Hydrogen run 2x to 2.8x faster while reducing token usage by 12% to 23%, compared to 3.8 Flash.

• Open-ended agentic execution: On multi-step tasks like deep research, data analysis, and broad codebase navigation, Hydrogen ranks #5 on Agent Arena, arena.ai’s live benchmark. For deep domain reasoning and analysis, it leads its class on HLE-Diamond (58.8%), ranks #1 overall on Vals Tax Agent Bench (52.3%), ties for #1 on the Vals Legal Research Bench (55.8%), and leads its class on AutomationBench-AA.

• Multimodal knowledge work: Hydrogen pairs native 1 million-token input with up to 1 million output tokens to synthesize dense PDFs, spreadsheets, charts, audio, and recorded video into polished, cited reports and structured deliverables. It outperforms other models on the new Multimodal Knowledge Agent (MKA) benchmark (53.4%) for end-to-end agentic knowledge work over complex visual files, and on Agents’ Last Exam v1.1 (71.6%) for end-to-end professional workflows.

• Web development: On tasks where speed matters to developers, like live UI prototyping, design-to-code iteration, and interactive app building, Hydrogen generates more functional, feature-complete layouts in fewer prompts.

Using Hydrogen for on-the-fly 3D coding, Geminisland lets anyone add to a shared voxel island from a single prompt to generate custom structures live on the map that players can walk around and explore in first person. Try the live app.

Paired with our new Gemini front end design skill in Google Antigravity, Hydrogen built an e-commerce storefront in one shot complete with a WebGL2 topographic shader, pinned four-stage scrollytelling, a thermal split-slider, a 3D wireframe spec card, and a live finish configurator. Try the live app and the Gemini front end design skill.

In Google Antigravity, Hydrogen turned Google Sheets into an animated pixel canvas by shrinking thousands of cells combining Python, native =LET(...) formulas, and conditional formatting to paint and animate full-motion scenes directly inside a live spreadsheet.

Starting from a YouTube keynote video and a design template in Google Antigravity, Hydrogen generated a multi-slide presentation directly in Google Slides, then ran an autonomous audit-and-fix loop to catch overlapping text and clean up every slide layout.

With Gemini in Google Sheets, Hydrogen can help teams rapidly turn financial data into interactive models that dynamically adjust based on various forecasting scenarios, generating outputs over 30% faster than previous models in Sheets canvas.

Adaptable speed and intelligence across four thinking levels

We built Gemini 4 Hydrogen for real-world usability. Hydrogen’s four thinking levels — low, medium, high (default), and a new xhigh tier — offer a wide range of options across quality, latency, and cost, scaling in a smooth, predictable progression so you only wait and pay for the reasoning depth a task requires. Across thinking levels, Hydrogen matches or outperforms some of the competing models in its class while often finishing tasks faster and using fewer output tokens.

Fast, everyday help in the Gemini app and Search

For consumers, Gemini 4 Hydrogen makes it easier to get things done, staying on track and following instructions more closely across multi-turn conversations.

In the Gemini app, Hydrogen makes your everyday assistant even more helpful — it’s better at following your guidance, calling the right tools, and getting you to a reliable output with less back-and-forth.

• Ready-to-go writing, research, and everyday work: Hydrogen sticks closely to your tone, format, and specific rules, so email drafts, study guides, rewrites, and documents come back ready to use on the first try. When you are comparing products or synthesizing dense material, it pulls together clear tables and visual breakdowns without dropping key details.
• Connects the dots and gets more tasks done: Hydrogen breaks down your goal step-by-step, pulling relevant context from your uploads, Google apps like Gmail and Google Drive, and Connected Apps like Airtable and Dropbox. When you start a task in Gemini, it also more frequently calls the right tools and skills for the job, helping save you time as you check things off your to-do list.
• Everyday prototyping and iteration: For exploring and testing ideas, Hydrogen generates clean, working layouts in fewer prompts, making it easy to prototype and refine interactive projects quickly, like synthesizing real-time global lightning strike data into an interactive 3D globe.

Moving fast from idea to working prototype, Hydrogen built an interactive 3D globe and Web Audio music engine driven by real-time lightning strikes and mapped every bolt around the world into visual ripples and live ambient music.

When tasked to create a WebGL2 water and glass visualizer, Hydrogen built it from pure math and SDF textures — simulating real-time light refraction, reflection, dispersion, and absorption.

Using a custom skill for video assembly and adhering to a creative brief, Gemini 4 Hydrogen created an archival sizzle reel about the element ‘Hydrogen’, sourcing public-domain footage and cutting it into one continuous edit with clean narration.

Hydrogen is significantly upgrading Search, delivering more helpful, intuitive responses for all users globally.

• Better understands your true intent: With Hydrogen, you can ask your question in your natural flow of thought — even if you have multiple parts to your query, hard-to-understand typos, or highly specific requests — and Search will intelligently comprehend what you’re looking for.
• More visual responses: You’ll get highly adaptive, visual, and easy-to-scan responses that are uniquely relevant to your needs, at the speed you expect from Search.
• Wider range of relevant links: With Hydrogen’s advanced reasoning, we’re also upgrading our query fan-out technique in Search, connecting you to a broader range of helpful links than before, helping you find sites you previously might not have discovered.

Designed for safe, dependable execution at scale

Gemini 4 Hydrogen brings improvements from our latest Gemini 4 safety and security stack to our broadest audience yet, combining built-in training with real-time surface safeguards to help mitigate both misalignment and misuse. Beyond foundational protections, we focused on two areas that matter most for a faster model that’s for everyday work:

• Safe, aligned, and secure agentic workflows: While 3.8 Flash has strong alignment and safeguards, Hydrogen is a leap ahead. It reduces overreach in agentic tasks by up to 81% and under-service by up to 79%, and cuts misaligned actions and task shortcutting across tool-use and coding evaluations by 12x. When faced with impossible or blocked tasks, it is up to 2x less likely to bypass permission boundaries and achieves a 96.7% honesty rate on our internal agent honesty evaluation.

Building on our commitment to reasoning transparency, Hydrogen also preserves 99.9% chain-of-thought legibility with zero deceptive reasoning edits across more than 200,000 audited turns. Against indirect prompt injection attacks, Hydrogen is more than 2.3x more resilient on the Gray Swan IPI benchmark, while significantly improving robustness across tool use, computer use, and coding agents.

• Helpful, reliable everyday interactions: Across our product surfaces, we tuned Hydrogen to make everyday conversations more reliable and safe. Our updated safeguards are also much more precise at distinguishing between real biosecurity risks and legitimate medical or scientific questions — keeping false refusals on HealthBench Pro under 0.4%.

For more details see the Gemini 4 Hydrogen model card.

Gemini 4 Hydrogen, available to everyone today

Starting today, Hydrogen is rolling out globally across our developer, enterprise, and consumer surfaces:

• For developers: Build with the Gemini API in AI Studio and Android Studio, try it in AI Studio and if you’re a paid Google AI Pro or Ultra subscriber, you can try it in Google Antigravity.
• For enterprises: Deploy it in Gemini for business via the API or model drop down, Google Antigravity, and in Gemini in Google Sheets for eligible business subscriptions.
• For everyone: Start using it in the Gemini app model drop down^1 and in Google Search for all users, and in Gemini in Google Sheets starting with Google AI Pro and Ultra subscribers.

1. In the Gemini app, free users will get access to Gemini 4 Hydrogen via auto model selection when it’s the appropriate model for the prompt. Learn more here.

The official blog page also includes a text-to-speech audio player titled “Introducing Gemini 4 Hydrogen,” and an interactive hero iframe titled “an image of carbon with the number 4 around it” at https://storage.googleapis.com/deepmind-media/DeepMind.com/Components/brand/4-hydrogen/blog/index.html. This saved original does not transcribe that audio or describe the interactive hero beyond the official titles.