Gemini 4 Carbon
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Gemini 4 Carbon

gemini-4-carbonllms.txt
Google
New
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

Modalités d'entrée

  • Text
  • Vision
  • Audio
  • Video
  • PDF

Modalités de sortie

  • 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

Fournisseurs

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
Latency75.7S
Throughput25.4TPS
Uptime
0.00% uptime 2 days ago
100.00% uptime yesterday
98.86% 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
Latency13.4S
Throughput75.9TPS
Uptime
0.00% uptime 2 days ago
100.00% uptime yesterday
99.93% uptime today

Performance for gemini-4-carbon

Uptime est le pourcentage de requêtes réussies au cours des 72 dernières heures. AIHubMix surveille en continu chaque fournisseur et réessaie automatiquement avec le meilleur fournisseur suivant lorsqu'un fournisseur renvoie une erreur ou répond trop lentement; Latency est le temps total d'aller-retour d'une requête (plus elle est faible, mieux c'est); Throughput correspond à la vitesse d'écriture du modèle (tokens par seconde ; plus il est élevé, mieux c'est).

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.