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
입력 방식
- Text
- Vision
- Audio
- Video
출력 방식
- 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
제공업체
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
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