Gemini 4 Carbon
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Gemini 4 Carbon

gemini-4-carbonllms.txt
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Gemini 4 Carbon is Google DeepMind’s multimodal model for complex coding, long-running agent workflows, and cybersecurity defense. Building on Gemini 4 Argon, it improves software engineering, vulnerability detection and remediation, multimodal understanding, and execution across challenging, multi-step tasks.

Pricing

PricingCache ReadInput VideoInput AudioWeb Search
$2$10
$0.1/M tokens$2/M tokens$2/M tokens$0.014/request

Eingabemodalitäten

  • Text
  • Vision
  • Audio
  • Video
  • PDF

Ausgabemodalitäten

  • Text

Context length

  • 1.05M tokens

Max output

  • 65.5K tokens

Capabilities

  • Thinking
  • Streaming
  • Tool calling
  • Web search
  • URL context
  • Code interpreter
  • Computer use
  • File search
  • Memory tool
  • Structured outputs
  • Structured decision
  • Citations
  • Prompt caching
  • Background mode
  • Server-side sessions

Anbieter

VertexAI gemini-4-carbon
Pricing$2$10
Cache Read$0.1/M tokens
Input Video$2/M tokens
Input Audio$2/M tokens
Web Search$0.014/request
PrecisionⓘNot Disclosed
Latency71.8S
Throughput25.6TPS
Uptime
0.00% uptime 2 days ago
100.00% uptime yesterday
98.85% uptime today
Google AI Studio gemini-4-carbon
Pricing$2$10
Cache Read$0.1/M tokens
Input Video$2/M tokens
Input Audio$2/M tokens
Web Search$0.014/request
PrecisionⓘNot Disclosed
Latency13.6S
Throughput78.7TPS
Uptime
0.00% uptime 2 days ago
100.00% uptime yesterday
99.93% uptime today

Performance for gemini-4-carbon

Uptime ist der Prozentsatz der erfolgreichen Anfragen in den letzten 72 Stunden. AIHubMix überwacht jeden Anbieter kontinuierlich und wiederholt Anfragen automatisch beim nächstbesten Anbieter, wenn einer einen Fehler zurückgibt oder zu langsam antwortet; Latency ist die gesamte Umlaufzeit einer Anfrage (niedriger ist besser); Throughput gibt an, wie schnell das Modell schreibt (Tokens pro Sekunde, höher ist besser).

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-carbon",
    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 Carbon?

Gemini 4 Carbon is Google DeepMind’s multimodal model for complex coding, long-running agent workflows, and cybersecurity defense. Building on Gemini 4 Argon, it improves software engineering, vulnerability detection and remediation, multimodal understanding, and execution across challenging, multi-step tasks.