Gemini 4 Hydrogen
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Gemini 4 Hydrogen

gemini-4-hydrogenllms.txt
Google
New
Gemini 4 Hydrogen is a Google Gemini 4 model focused on speed and efficiency. Potential use cases include everyday conversations, text processing, and interactive applications where fast responses matter.

Pricing

PricingCache ReadInput VideoInput AudioWeb Search
$1.5$7.5
$0.075/M tokens$1.5/M tokens$1.5/M tokens$0.014/request

입력 방식

  • Text
  • Vision
  • Audio
  • Video
  • PDF

출력 방식

  • Text

제공업체

VertexAI gemini-4-hydrogen
Pricing$1.5$7.5
Cache Read$0.075/M tokens
Input Video$1.5/M tokens
Input Audio$1.5/M tokens
Web Search$0.014/request
PrecisionⓘNot Disclosed
Latency5.1S
Throughput99.4TPS
Uptime
0.00% uptime 2 days ago
100.00% uptime yesterday
100.00% uptime today
Google AI Studio gemini-4-hydrogen
Pricing$1.5$7.5
Cache Read$0.075/M tokens
Input Video$1.5/M tokens
Input Audio$1.5/M tokens
Web Search$0.014/request
PrecisionⓘNot Disclosed
Latency7.2S
Throughput128.4TPS
Uptime
0.00% uptime 2 days ago
100.00% uptime yesterday
100.00% uptime today

Performance for gemini-4-hydrogen

Uptime은 지난 72시간 동안 성공한 요청의 비율입니다. AIHubMix는 모든 공급자를 지속적으로 모니터링하며, 오류가 발생하거나 응답이 느린 경우 자동으로 차선의 공급자로 재시도합니다; Latency는 요청의 총 왕복 시간입니다(낮을수록 좋음); Throughput은 모델의 출력 속도입니다(초당 토큰 수, 높을수록 좋음).

Uptime
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Latency
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Throughput
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Try this model

Python
import os
from openai import OpenAI

client = OpenAI(
    api_key=os.environ["AIHUBMIX_API_KEY"],
    base_url="https://aihubmix.com/v1",
)

response = client.chat.completions.create(
    model="gemini-4-hydrogen",
    messages=[
      {
        "role": "user",
        "content": "Hello, how are you?"
      }
    ],
    max_tokens=1024,
    stream=False,
)

print(response.choices[0].message.content)

Frequently asked questions

What is Gemini 4 Hydrogen?

Gemini 4 Hydrogen is a Google Gemini 4 model focused on speed and efficiency. Potential use cases include everyday conversations, text processing, and interactive applications where fast responses matter.