NVIDIA
NVIDIASlug: nvidia-nemotron-3NVIDIA Nemotron 3 series with Nano and Super models in various sizes and modes, including reasoning and non-reasoning.
4 models
NVIDIA
A lightweight, efficient 30B parameter model from NVIDIA's Nemotron series, optimized for instruction following and dialogue. It is designed for fast inference and low-cost deployment, suitable for general-purpose conversational AI tasks.
Input / 1M tokens
$0.05
Output / 1M tokens
$0.20
NVIDIA
A 30-billion parameter reasoning model from NVIDIA's Nemotron family, optimized for complex logical and analytical tasks. It features a 3B active parameter architecture for efficient inference while maintaining strong reasoning capabilities.
Input / 1M tokens
$0.055
Output / 1M tokens
$0.22
NVIDIA
NVIDIA Nemotron 3 Nano 4B is a compact, 4-billion parameter language model from NVIDIA's Nemotron family. It is optimized for fast inference and low resource consumption, making it suitable for edge deployment and applications requiring low latency.
Input / 1M tokens
$0.00
Output / 1M tokens
$0.00
NVIDIA
NVIDIA Nemotron 3 Super 120B A12B is a large-scale reasoning model from NVIDIA's Nemotron family. It features 120 billion total parameters with 12 billion activated parameters, optimized for complex reasoning and instruction-following tasks.
Input / 1M tokens
$0.30
Output / 1M tokens
$0.75
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