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llm-gemini 0.37

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llm-gemini 0.37

TL;DR · AI 摘要

Google Gemini 4 Hydrogen模型定价策略复杂,12月后价格将翻倍,但相比其他模型仍具成本优势,且将作为Google搜索AI功能的默认模型。

核心要点

  • Gemini 4 Hydrogen在2026年12月1日后价格将上涨至$1.50/百万输入,但仍是其他模型的75%价格
  • Hydrogen与Carbon/Argon模型在代码生成质量上存在显著差异
  • Hydrogen将成为Google搜索AI功能的免费层级模型

结构提纲

按章节快速跳转。

  1. §Gemini 4系列发布

    介绍Google最新发布的Gemini 4 Hydrogen模型及其定价策略。

  2. 详细对比Carbon、Argon和Hydrogen三款模型的输入输出费用差异。

  3. 通过pelican生成测试展示不同模型在代码生成质量上的表现差异。

  4. 解析Hydrogen作为免费层级模型在Google生态中的战略意义。

思维导图

用一张图看清主题之间的关系。

查看大纲文本(无障碍 / 无 JS 友好)
  • Gemini 4模型定价分析
    • 模型对比
      • Carbon vs Argon vs Hydrogen
      • 价格差异
    • 定价策略
      • 12月价格调整
      • 免费层级定位
    • 应用场景
      • Google搜索AI
      • 代码生成测试

金句 / Highlights

值得收藏与分享的关键句。

#Google Gemini#LLM定价#AI模型比较#云计算
打开原文

Release: llm-gemini 0.37

Simon Willison’s Weblog

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doubleAI — doubleAI’s Maxwell makes software faster as it runs, no code changes needed.

Now in early access

12th November 2026

Release

llm-gemini 0.37

— LLM plugin to access Google's Gemini family of models

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

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 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.

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.

Posted

at 10:55 pm

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