New Model Available: Gemini 4 Carbon Google DeepMind released Gemini 4 Carbon, a frontier AI model built on Gemini 4 Argon for sustained reasoning and multi-step execution tasks including large-codebase debugging, cybersecurity defense, scientific research and professional data analysis. Gemini 4 Carbon accepts text, images, audio and video with a combined input-output context window of approximately one million tokens, and is listed at $2 per million input tokens and $10 per million output tokens, down from $4 and $20 respectively. Gemini 4 Carbon is a frontier AI model from Google DeepMind, built on Gemini 4 Argon for complex tasks requiring sustained reasoning and multi-step execution, including large-codebase debugging, cybersecurity defense, scientific research, and professional data analysis. It accepts text, images, audio, and video, with a combined input–output context window of approximately one million tokens. Back to Models https://zenmux.ai/models Providers Route requests across multiple providers. Copy a provider slug to set your preference. ~~$4~~ $2 / M tokens ~~$20~~ $10 / M tokens Read: ~~0.2~~ 0.1 / M tokens Write: - / M tokens1.05M20.8s18.1tps Uptime 24hours Direct request success rate on AI Gateway and per-provider. Throughput 24hours P50 throughput on live AI Gateway traffic, in tokens per second TPS . Latency 24hours P50 time to first token TTFT on live AI Gateway traffic, in milliseconds. Activity Token volume and request traffic to this model over time. Benchmarks Scores on standardized evaluations. Higher percentages are better — and rank percentile shows Metrics sourced from Artificial Analysis https://artificialanalysis.ai/ Apps Public apps that send the most traffic to this model. Good signal for what real production workloads look like — and a hint at which use cases this model is best suited for. View All https://zenmux.ai/analytics/apps Related Models More models from Google https://zenmux.ai/google