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Google发布Gemini 4 Hydrogen及定价策略分析

llm-gemini 0.37

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Gemini 4系列新成员发布且伴随复杂的动态定价调整,直接影响开发者选型与成本预算,建议关注12月1日的价格变动节点。

Release: llm-gemini 0.37

发布:llm-gemini 0.37

Google launched Gemini 4 Hydrogen today - the lowest cost member of the Gemini 4 family.

Google 今日发布了 Gemini 4 Hydrogen——Gemini 4 家族中成本最低的一款。

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:

它的价格实际上与其体积大得多的兄弟模型 Carbon 和 Argon 相差不远。我觉得 Gemini 4 的定价方案真的很令人困惑。以下是其定价结构:

ModelDatesInput ($/M)Cached inputOutput
Gemini 4 CarbonThrough Nov 30, 2026$2.00$0.10$10.00
From Dec 1, 2026$4.00$0.20$20.00
Gemini 4 ArgonThrough 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$7.50
模型日期输入 ($/M)缓存输入输出
Gemini 4 Carbon至 2026 年 11 月 30 日$2.00$0.10$10.00
从 2026 年 12 月 1 日起$4.00$0.20$20.00
Gemini 4 Argon至 2026 年 11 月 30 日$2.00$0.10$10.00
从 2026 年 12 月 1 日起$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.

Carbon 和 Argon 价格相同,且都计划于 12 月 1 日涨价一倍。如果它们价格相同,为什么要有两个不同的模型?Google 表示,Argon “与 Gemini 4 Carbon 相比,能以更快的响应速度和每轮更低的 Token 消耗提供 Gemini 4 的智能”——因此它可能定价相同,但每个任务消耗的 Token 会更少。

Hydrogen, supposedly the cheap model, is currently only a 25% discount on its more capable peers. 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.

Hydrogen 号称是廉价模型,但目前仅比其功能更强的同类模型便宜 25%。12 月 1 日之后,当它代表 75% 的折扣时,Hydrogen 的价格会显得更合理。不过,它仍然比 Claude Haiku 5.5 和 GPT-6 Luna 贵得多——后两者的价格均为 $0.10/$0.50,因此 Hydrogen 的价格是它们的 15 倍。

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:

我让 Hydrogen 生成了一些鹈鹕的图片。以下是一个完整的对比网格,展示了 Gemini 4 家族所有三个成员在三种支持的努力级别下的鹈鹕图片:

Considering how close they are in price, the difference in pelican quality for Hydrogen is quite stark.

考虑到它们价格如此接近,Hydrogen 生成的鹈鹕图片质量差异却相当显著。

Here's how Google describe Hydrogen's intended position in their mix of models:

以下是 Google 对 Hydrogen 在其模型组合中预期定位的描述:

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.

在实际软件开发中,虽然团队在设计系统或梳理细微 Bug 时依赖 Carbon 和 Argon 等前沿模型进行深度架构判断,但他们仍然需要一个快速、纪律严明的执行模型来编写代码、运行测试和验证更改。Hydrogen 旨在作为日常工作的独立模型,或者在与 Carbon 和 Argon 配合使用时,作为多模型工作流中的高效执行引擎。

Most notably, Hydrogen is the new free tier model, and is the model that will power AI features in Google Search.

最值得注意的是,Hydrogen 是新的免费层级模型,并将为 Google Search 中的 AI 功能提供支持。

Tags: gemini, llm, google, pelican-riding-a-bicycle, llm-pricing, ai, llms

标签:gemini, llm, google, pelican-riding-a-bicycle, llm-pricing, ai, llms

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