Google 发布 Gemini 4 Hydrogen：51 分超 Argon，速度快 2.5 倍
Google 这次塞了个很有意思的中间档：Hydrogen 分数压过自家 Argon，跑得比 3.8 Flash 快 2.5 倍，1M 上下文还便宜。写代码、跑测试这类活直接交给它，架构判断留给 Carbon。做 Agent 或日常编码的可以马上在 API 里试。
Google DeepMind 推出 Gemini 4 Hydrogen，定位为日常编码与智能体工作流的高性价比模型，已上线 Gemini API、GeminiApp、Google Search 以及 Google AI Pro/Ultra 订阅用户的 Antigravity。
基准方面，默认思考级别在 Artificial Analysis Intelligence Index 得 51 分（xhigh 达 54），超过同门 Argon 的 50 分，速度比 3.8 Flash 快 2.
5 倍，定价为每百万 token 输入 1.50 美元、输出 7.
50 美元，支持 1M 上下文。官方称其虚构性回应与声明减少了 5 倍以上，适合写代码、跑测试、验证改动等执行型任务。
在 Google 的产品矩阵中，Carbon 与 Argon 负责深度架构判断，Hydrogen 承担快速执行，并可通过 Antigravity 的 Orchestrator 做多模型协作。这是 Gemini 4 系列短时间内的第三个模型，定价与速度直指 Flash 级同类产品的市场。
Today we’re launching Gemini 4 Hydrogen. It brings cutting-edge intelligence to everyone — with speed and efficiency for everyday coding and agentic workflows, rolling out across the Gemini API, Gemini for business, the @GeminiApp, Google Search, and for paid Google AI Pro and Ultra subscribers in Google @Antigravity.
In real-world software development, while teams rely on Carbon and Argon for deep architectural judgment, they also need fast, disciplined execution for writing code, running tests, and verifying changes — standalone or paired in multi-model workflows like Orchestrator in @Antigravity :
– Surpasses Argon on the Artificial Analysis Intelligence Index at its default thinking level (51 vs. 50, and reaching 54 at xhigh) while running 2.5x faster than 3.8 Flash & often faster than peers in its class ($1.50 / $7.50 per 1M tokens across 1M context) – Reduces fabricated responses & claims by >5x
Proud of the teams across @GoogleDeepMind and @Google for shipping three Gemini 4 models in rapid succession.
Read more at: https://t.co/THTtDvAyvy
This report is categorized under AITOP's "Models" desk, focusing on US frontier AI labs and Silicon Valley technology leaders. Within our cross-regional analytical framework, it directly maps to US-China foundation model benchmarks and commercialization comparison and AI developer toolchains, coding agents, and engineering workflows. Key entities and technical topics under continuous tracking include Gemini, GoogleDeepMind, Antigravity, 编程助手.
Source attribution: curated from Koray Kavukcuoglu (@koraykv).
