Google 发布 Gemini 4 Hydrogen，llm-gemini 0.37 同步更新支持
llm-gemini 0.37
Google 的便宜版 Gemini 4 来了，但现在的定价只比老大哥便宜 25%，要到 12 月才真正划算。文章里有完整的三模型价格表和 pelican 输出质量对比，选模型前值得看看实际效果差距。
Google 于 2026 年 11 月 12 日发布 Gemini 4 Hydrogen，作为 Gemini 4 家族中定价最低的成员，输入 $1.50/百万 token、缓存输入 $0.075、输出 $7.50。Carbon 和 Argon 目前同为 $2.00 输入 / $10.00 输出，并将于 2026 年 12 月 1 日涨价至 $4.00/$20.00，届时 Hydrogen 相对旗舰模型的价格优势会从当前约 25% 扩大到 75%。
Google 将 Hydrogen 定位为日常开发任务的执行模型：在真实软件开发中，团队用 Carbon 和 Argon 做架构设计和疑难 bug 排查，用 Hydrogen 负责写代码、跑测试、验证改动，也可在多模型工作流中作为高效率执行引擎与旗舰模型搭配。Hydrogen 同时成为新的免费层级模型，并将驱动 Google Search 中的 AI 功能。
Simon Willison 用三个模型在三种 effort 等级下生成 pelican SVG 对比输出质量，发现 Hydrogen 在低价位的输出质量差距明显；与竞品相比，Hydrogen 目前仍远贵于同为 $0.10/$0.50 定价的 Claude Haiku 5.5 和 GPT-6 Luna，价差达 15 倍。
llm-gemini 0.37
Release: llm-gemini 0.37 Google launched Gemini 4 Hydrogen today - the lowest cost member of the Gemini 4 family. It's actually not too far off the price of its much bigger siblings, Carbon and Argon. I'm finding Gemini 4's pricing really confusing. Here's the pricing scheme: Model Dates Input ($/M) Cached input Output Gemini 4 Carbon Through Nov 30, 2026 $2.00 $0.10 $10.00 From Dec 1, 2026 $4.00 $0.20 $20.00 Gemini 4 Argon Through Nov 30, 2026 $2.00 $0.10 $10.00 From Dec 1, 2026 $4.00 $0.20 $20.00 Gemini 4 Hydrogen $1.50 $0.075 $7.50 Carbon and Argon are the same price , and both are scheduled to double in price on December 1st. If they're the same price, why have two different models? Google says that Argon "delivers Gemini 4 intelligence with faster responses and lower token spend per turn compared to Gemini 4 Carbon" - so it may be priced the same, but it will use less tokens per task. Hydrogen, supposedly the cheap model, is currently only a 25% discount on its more capable piers. The Hydrogen price will make more sense after December 1st, when it will represent a 75% discount. It's still considerably more expensive than Claude Haiku 5.5 and GPT-6 Luna - they're both $0.10/$0.50, so Hydrogen is 15x that. I had Hydrogen generate some pelicans . Here's a full comparison grid showing the pelicans for all three members of the Gemini 4 family at their three supported effort levels: Considering how close they are in price, the difference in pelican quality for Hydrogen is quite stark. Here's how Google describe Hydrogen's intended position in their mix of models: 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. Most notably, Hydrogen is the new free tier model, and is the model that will power AI features in Google Search.
本条情报归属 AITOP「模型」核心栏目，重点聚焦北美前沿实验室与硅谷科技巨头。在跨区域产业观察坐标中，该动态直接关联「中美大模型技术代差与商业化对照」「AI 开发者工具链、Coding Agent 与工程化实践」研究主线，反映出当前技术演进与商业落地的最新风向。涉及核心实体与技术议题包括：Gemini 4、Google、Claude Haiku、模型定价，读者可通过下方标签进入对应专题页查阅历史脉络与关联对比。
信源核验说明：本文原始线索采编自「Simon Willison’s Weblog」，经 AITOP 多维评分管线结构化提炼。截至目前，全网已有 11 家独立信源对该事件进行交叉印证与跟进报道（含 岚叔、Logan Kilpatrick、Paul Couvert 等），属于近期高关注度行业信号。
