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
Modalidades de entrada
- Text
- Vision
- Audio
- Video
Modalidades de salida
- 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
Proveedores
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 es el porcentaje de solicitudes exitosas en las últimas 72 horas. AIHubMix supervisa continuamente cada proveedor y reintenta automáticamente con el siguiente mejor proveedor cuando uno devuelve un error o responde demasiado lento; Latency es el tiempo total de ida y vuelta de una solicitud (cuanto más baja, mejor); Throughput indica la velocidad de escritura del modelo (tokens por segundo; cuanto más alto, mejor).
Uptime
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Latency
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Throughput
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Try this model
Python