Simon Willison 评测 Gemini 4 Hydrogen：定价逻辑与生成表现对比

Google 今天发布了 Gemini 4 Hydrogen，这是 Gemini 4 系列中价格最低的一款模型。

但实际上，它的价格和体量大得多的两位兄长 Carbon 与 Argon 差不了多少。我觉得 Gemini 4 的定价实在让人摸不着头脑。具体定价方案如下：

模型	日期	输入（$/M）	缓存输入	输出
Gemini 4 Carbon	截至 2026 年 11 月 30 日	$2.00	$0.10	$10.00
Gemini 4 Carbon	2026 年 12 月 1 日起	$4.00	$0.20	$20.00
Gemini 4 Argon	截至 2026 年 11 月 30 日	$2.00	$0.10	$10.00
Gemini 4 Argon	2026 年 12 月 1 日起	$4.00	$0.20	$20.00
Gemini 4 Hydrogen		$1.50	$0.075	$7.50

Carbon 和 Argon 的价格完全相同，而且计划在 12 月 1 日双双涨价一倍。既然价格一样，为什么还要推出两款不同的模型？Google 表示，与 Gemini 4 Carbon 相比，Argon「在保持 Gemini 4 级别智能的同时，响应速度更快，单轮对话消耗的 token 也更少」——也就是说，虽然单价相同，但完成每项任务消耗的 token 会更少。

Hydrogen 作为所谓的廉价款，目前比性能更强的同门机型仅仅便宜了 25%。到 12 月 1 日之后它的定价才算合理一些，届时相当于打了两五折。不过，它依然比 Claude Haiku 5.5 和 GPT-6 Luna 贵得多——后两者的价格都是 $0.10/$0.50，Hydrogen 则是它们的 15 倍。

我让 Hydrogen 生成了几只鹈鹕。这里有一份完整对比图表，展示了 Gemini 4 家族的三款模型在各自支持的三档 effort（思考强度）级别下生成的鹈鹕：

$Comparison grid of nine SVG-style illustrations of a pelican riding a bicycle, three models across by three thinking levels down. Column headers: Thinking, gemini-4-carbon, gemini-4-argon, gemini-4-hydrogen. Row HIGH: gemini-4-carbon draws a detailed pelican in a sailor cap riding a red cruiser bicycle with fenders and a wicker basket holding a fish, along a beach road with sea, sun, clouds and birds, captioned 40 input tokens, 20,305 output = 20.31 cents · 4m 11s; gemini-4-argon draws a pelican in a red cap and a streaming teal striped scarf on a red bicycle with a blue fish peeking out of the basket, on a seaside promenade with a pale sun, captioned 40 input tokens, 17,158 output = 17.17 cents · 2m 29s; gemini-4-hydrogen draws a much simpler plain white pelican on a basic red bicycle against a pale blue sky with two clouds, speed lines and flat green ground, captioned 40 input tokens, 5,311 output = 3.99 cents · 19s. Row MEDIUM: gemini-4-carbon draws a pelican in a sailor cap and red striped scarf on a red bicycle with cream fenders and a basket, on a sandy beach with a rope fence and sea, captioned 40 input tokens, 11,020 output = 11.03 cents · 1m 53s; gemini-4-argon draws a pelican with an enormous orange beak, sailor cap and flowing red scarf on a teal bicycle with a basket, on a boardwalk under a purple and pink sunset sky with a large pink sun, captioned 40 input tokens, 11,090 output = 11.10 cents · 1m 32s; gemini-4-hydrogen draws a simple cream pelican on a plain red bicycle with sparse spokes, two clouds and flat green ground, captioned 40 input tokens, 3,964 output = 2.98 cents · 17s. Row LOW: gemini-4-carbon draws a pelican in a sailor cap and red and white striped scarf on a red bicycle with fenders and a basket, passing a white seaside railing on a grey road, captioned 40 input tokens, 9,153 output = 9.16 cents · 1m 34s; gemini-4-argon draws a large, chubby pelican with a sailor cap and huge orange beak on a red bicycle with a basket, gripping the handlebars with a dark blue wing, in front of an orange setting sun and a grey road, captioned 40 input tokens, 10,177 output = 10.18 cents · 1m 21s; gemini-4-hydrogen draws the simplest image, a plain white pelican on a thin red bicycle over a single green line with no scenery, captioned 40 input tokens, 2,996 output = 2.25 cents · 10s. Overall, carbon and argon produce rich, accessorised seaside scenes at every thinking level, while hydrogen produces far plainer pelicans at a fraction of the cost and time, and detail decreases for all three models as thinking drops from high to low.$

考虑到它们价格如此接近，Hydrogen 生成的鹈鹕在质量上的差距可以说相当悬殊。

关于 Hydrogen 在整个产品线中的定位，Google 是这样解释的：

在真实的软件开发场景中，团队在设计系统或排查隐蔽 Bug 时，固然需要依靠 Carbon 和 Argon 这种前沿模型做出深度的架构判断，但在编写代码、运行测试和验证修改时，依然需要一个响应迅捷、执行严谨的模型。Hydrogen 既能独当一面用于日常开发，也可以与 Carbon 和 Argon 配合，作为多模型工作流中的高效执行引擎。

最值得一提的是，Hydrogen 成了新的免费层模型，未来 Google 搜索中的各项 AI 功能也将由它来驱动。

Simon Willison 评测 Gemini 4 Hydrogen：定价逻辑与生成表现对比

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