Gemini

Gemini 4 Hydrogen

GoogleToken-based
Alias:gemini-4-hydrogen
Create API Key

Compare gemini-4-hydrogen API pricing, supported endpoints, capabilities and access options on Modelsell.

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Starting price
Input / Output · 1M
Context
1M
Maximum input window
Max output
1M
Maximum tokens per response
Modalities
→
Knowledge cutoff
Mar 2026
Released
Nov 2026

Pricing by Supplier

Compare prices and service performance for this model across suppliers.

Suppliers2
USD · Per 1M tokensPerformance · Last 24 hours
SupplierDiscountInput/MOutput/MCache Read/M
Google AI Studio

谷歌官方接口

-50%
$0.75$1.5
$3.75$7.5
$0.0375$0.075
Google Vertex

谷歌官方接口

-30%
$1.05$1.5
$5.25$7.5
$0.0525$0.075
Crossed-out amounts are standard prices.Performance over the last 24 hours; actual results vary by request.

Scroll horizontally to compare all prices and performance metrics.

Capabilities / Supported modalities

StreamingFunction callingToolsJSON modeStructured outputReasoningVisionPrompt cachingCode interpreterWeb search
Input
Output

Provider & data privacy

Provider
GoogleDocs
Tokenizer
SentencePiece (Gemini)
License
Proprietary (commercial)Proprietary
Data retention81 daysNot used for upstream training by default

Performance

Benchmarks

Scores on standardized evaluations. Higher percentages are better — and rank percentile shows

Metrics sourced fromArtificial Analysis 2026-09-30·Gemini 4 Hydrogen

This model is not included in the current benchmark snapshot.

Missing models or measurements are not zero scores.

Benchmark charts preserve the source model selection and reasoning settings. Missing models or measurements are not zero scores, and benchmark cost or speed is not this site’s service commitment.

About Gemini 4 Hydrogen

Gemini 4 Hydrogen

资料核实日期:2026-11-13。模型 ID:gemini-4-hydrogen,发布于 2026-11-12。

模型介绍

Gemini 4 Hydrogen 是 Google 面向日常编程、智能体与企业工作流的多模态推理模型,侧重速度和效率。支持文本、图片、音频、视频及文档输入,输出文本;知识截止日期为 2026 年 3 月,参数量未公开。

输入与输出共用 1,048,576 token 预算,输出包含思考、函数调用和最终回答。流式与非流式单段输出均最多 65,536 token;官方通过 GenerateContent(v1beta1)或 Interactions API 的续写机制,可将总输出扩展至 1,048,576 token 减去输入用量。元数据中的最大输出记录官方续写总上限;本站普通单次请求与渠道支持范围需另行验证。

模型支持函数调用、结构化输出、代码执行、搜索、URL 上下文、计算机操作和视频理解。官方还支持 PDF、Word、PowerPoint、Excel 与 OpenDocument 文件。相关工具及文件格式能否经由本站调用,取决于具体渠道和接口适配。

思考等级为 LOW、MEDIUM、HIGH(默认)和 XHIGH;thinking_budget 与 MINIMAL 会报 400。自定义 temperature、top_p、top_k 被忽略。支持至少 4,096 token 前缀的隐式缓存,默认开启持久缓存,不支持显式 cached_content。

该模型属于短期 GA 版本,官方承诺至少提前 45 天通知退役;当前没有公布退役日期。

官方参考价格

单位为美元 / 百万 token。以下标准价格覆盖文本、图片、视频和音频输入,输出价格包含思考 token;官方未为 Hydrogen 列出长上下文分档加价。

模式与区域输入输出缓存读取
Standard / Global(本站基础价)1.507.500.075
Standard / Non-global1.658.250.0825
Priority / Global2.7013.500.135
Priority / Non-global2.9714.850.1485
Batch / Global0.753.750.0375
Batch / Non-global0.8254.1250.04125

官方公布 Standard / Global 缓存写入价为 $1.875,2027-01-12 起生效;当前不将该未来价格加入本站计费配置。Priority、Batch 和非 Global 价格仅作参考,本站基础配置采用 Standard / Global,实际费用叠加所选分组倍率。

搜索等工具可能另行收费。官方自 2026-11-13 起,对输出超过 32K token 的长生成,即使最后因客户端或服务端超时失败,仍可能收取可取回的 token 用量费用;这是 Google 的上游计费规则。

官方来源

Use cases and prompting

调用指南

绑定支持该模型的渠道后,可以使用本站 Gemini 原生接口。以下示例依据官方参数和本站鉴权方式编写,尚未完成该模型的真实调用验证。

POST /v1beta/models/gemini-4-hydrogen:generateContent
Authorization: Bearer YOUR_API_KEY
Content-Type: application/json
{
  "contents": [
    {
      "role": "user",
      "parts": [{ "text": "分析这段程序的边界条件,并给出可验证的改进建议。" }]
    }
  ],
  "generationConfig": {
    "maxOutputTokens": 8192,
    "thinkingConfig": { "thinkingLevel": "MEDIUM" }
  }
}

也可在支持的渠道通过 POST /v1/chat/completions 指定 model: "gemini-4-hydrogen"。不要发送 thinking_budget、MINIMAL 或显式缓存引用;多轮工具调用应保留完整的思考签名与历史内容。Interactions API、长输出自动续写和官方内置工具均须另外确认本站适配与渠道支持。

API access

API documentation

Code samples

RequestPOST/v1beta/models/gemini-4-hydrogen:generateContent
Example request
Parameters
ParameterTypeDefault / rangeDescription
temperature
number
=10 ~ 2
Sampling temperature; lower is more deterministic
top_p
number
=10 ~ 1
Nucleus sampling probability mass
max_tokens
integer>= 1Maximum number of tokens in the response
frequency_penalty
number
=0-2 ~ 2
Penalises repetition of frequent tokens
presence_penalty
number
=0-2 ~ 2
Encourages introducing new topics
stop
array—Up to 4 strings that stop generation
seed
integer—Deterministic sampling seed (best-effort)
n
integer
=1>= 1
Number of completions to generate
stream
boolean
=false
Stream tokens via Server-Sent Events
response_format
object—Force JSON object or schema-conforming output
tools
array—Tool / function declarations the model may call
tool_choice
string
autononerequired
Tool-choice policy or specific tool name
logprobs
boolean
=false
Return per-token log probabilities
top_logprobs
integer0 ~ 20Number of top log probabilities returned per token
logit_bias
object—Per-token logit bias map
user
string—End-user identifier for abuse monitoring

Replace <YOUR_API_KEY> with the API key from your token settings.

Authentication

All requests must include Authorization: Bearer <TOKEN> header. Anthropic-formatted endpoints accept the x-api-key header instead.

Generate tokens from the Tokens page; you can scope them to specific models, groups, IPs, and rate-limits.

Supported parameters

Generation parameters
ParameterTypeDefault / rangeDescription
temperature
number
=10 ~ 2
Sampling temperature; lower is more deterministic
top_p
number
=10 ~ 1
Nucleus sampling probability mass
max_tokens
integer>= 1Maximum number of tokens in the response
frequency_penalty
number
=0-2 ~ 2
Penalises repetition of frequent tokens
presence_penalty
number
=0-2 ~ 2
Encourages introducing new topics
stop
array—Up to 4 strings that stop generation
seed
integer—Deterministic sampling seed (best-effort)
n
integer
=1>= 1
Number of completions to generate
stream
boolean
=false
Stream tokens via Server-Sent Events
response_format
object—Force JSON object or schema-conforming output
tools
array—Tool / function declarations the model may call
tool_choice
string
autononerequired
Tool-choice policy or specific tool name
logprobs
boolean
=false
Return per-token log probabilities
top_logprobs
integer0 ~ 20Number of top log probabilities returned per token
logit_bias
object—Per-token logit bias map
user
string—End-user identifier for abuse monitoring

Rate limits

SupplierRPMTPMRPD
Google AI StudioUnlimitedUnlimitedUnlimited
Google VertexUnlimitedUnlimitedUnlimited

No restriction

Frequently asked questions about gemini-4-hydrogen

What is gemini-4-hydrogen?

Compare gemini-4-hydrogen API pricing, supported endpoints, capabilities and access options on Modelsell.

How do I call gemini-4-hydrogen?

Create an API key with access to gemini-4-hydrogen, then use the exact model ID and a supported endpoint from the API access section. Request fields depend on the selected endpoint.

How is gemini-4-hydrogen priced?

Pricing depends on the selected provider group and the model billing unit. The current input, output, request, or media prices are shown on this page before sign-up.

What is the context window of gemini-4-hydrogen?

The model catalog lists a context window of 1048576 tokens. Check the selected endpoint for request limits.

What is the maximum output of gemini-4-hydrogen?

The model catalog lists a maximum output of 1048576 tokens. Your request settings may set a lower limit.

How should I evaluate gemini-4-hydrogen for my project?

Start with the use cases and prompting guidance on this page, then evaluate the model with representative inputs from your project.