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$1.50/百万输入,但仍是其他模型的75%价格
- Hydrogen与Carbon/Argon模型在代码生成质量上存在显著差异
- Hydrogen将成为Google搜索AI功能的免费层级模型
结构提纲
按章节快速跳转。
介绍Google最新发布的Gemini 4 Hydrogen模型及其定价策略。
详细对比Carbon、Argon和Hydrogen三款模型的输入输出费用差异。
- ›性能对比
通过pelican生成测试展示不同模型在代码生成质量上的表现差异。
- ·市场定位
解析Hydrogen作为免费层级模型在Google生态中的战略意义。
思维导图
用一张图看清主题之间的关系。
查看大纲文本(无障碍 / 无 JS 友好)
- Gemini 4模型定价分析
- 模型对比
- Carbon vs Argon vs Hydrogen
- 价格差异
- 定价策略
- 12月价格调整
- 免费层级定位
- 应用场景
- Google搜索AI
- 代码生成测试
金句 / Highlights
值得收藏与分享的关键句。
Hydrogen在12月1日后将实现比其他模型75%的价格优势,但当前仍为同类产品的15倍成本
Argon模型虽与Carbon同价,但宣称能减少25%的token消耗
Hydrogen将作为Google搜索AI功能的核心模型,替代现有免费层级
Release: llm-gemini 0.37
Simon Willison’s Weblog
Newsletter
#smallhead
Sponsored by:
doubleAI — doubleAI’s Maxwell makes software faster as it runs, no code changes needed.
Now in early access
12th November 2026
Release
llm-gemini 0.37
— LLM plugin to access Google's Gemini family of models
Google launched Gemini 4 Hydrogen today - the lowest cost member of the Gemini 4 family.
It's actually not too far off the price of its much bigger siblings, Carbon and Argon. I'm finding Gemini 4's pricing really confusing. Here's the pricing scheme:
Model
Dates
Input ($/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
Recent articles
- Locating the source of a mysterious beep with Claude - 9th November 2026
- Hide your slop PR descriptions behind <details><summary> - 9th November 2026
- Qwen 3.8 27B on my laptop can interpret model weights, too - 3rd November 2026
- The U.S. Census Bureau and “Super Intelligence” - 2nd November 2026
#primary
This is a beat by Simon Willison, posted on 12th November 2026 .
420
ai
2,322
llms
2,024
llm
651
gemini
203
llm-pricing
98
pelican-riding-a-bicycle
158
Monthly briefing
Sponsor me for $10/month and get a curated email digest of the month's most important LLM developments.
Pay me to send you less!
Sponsor & subscribe
.metabox
#secondary
#wrapper
- Disclosures
- Colophon
- ©
- 2002
- 2003
- 2004
- 2005
- 2006
- 2007
- 2008
- 2009
- 2010
- 2011
- 2012
- 2013
- 2014
- 2015
- 2016
- 2017
- 2018
- 2019
- 2020
- 2021
- 2022
- 2023
- 2024
- 2025
- 2026