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.
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 4, Google, Claude Haiku, 模型定价.
Source attribution: curated from Simon Willison’s Weblog. Cross-source corroboration: 11 independent sources have covered this development (including 岚叔, Logan Kilpatrick, Paul Couvert), confirming industry-wide signal strength.
