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
Giriş Yöntemleri
- Text
- Vision
- Audio
- Video
Çıkış Yöntemleri
- 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
Sağlayıcılar
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
Latency71.7S
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
Latency13.7S
Throughput78.8TPS
Uptime
0.00% uptime 2 days ago
100.00% uptime yesterday
99.93% uptime today
Performance for gemini-4-carbon
Uptime, son 72 saatte başarılı olan isteklerin yüzdesidir. AIHubMix her sağlayıcıyı sürekli izler ve bir sağlayıcı hata döndürdüğünde veya çok yavaş yanıt verdiğinde otomatik olarak bir sonraki en iyi sağlayıcıyla yeniden dener; Latency, bir isteğin toplam gidiş-dönüş süresidir (ne kadar düşükse o kadar iyi); Throughput, modelin yazma hızıdır (saniyedeki token sayısı; ne kadar yüksekse o kadar iyi).
Uptime
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Latency
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Throughput
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Try this model
Python