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
入力モダリティ
- Text
- Vision
- Audio
- Video
出力モダリティ
- 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
プロバイダー
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 は過去72時間のリクエスト成功率です。AIHubMix は各プロバイダーを常時監視し、エラーや応答遅延が発生した場合は自動的に次善のプロバイダーで再試行します;Latency はリクエストの総往復時間です(低いほど良い);Throughput はモデルの出力速度です(トークン/秒、高いほど良い)。
Uptime
Loading...
Latency
Loading...
Throughput
Loading...
Try this model
Python