NVIDIA Nemotron 3 Super 120B A12B
latestNVIDIA Nemotron-3-Super-120B-A12B is an open-weight LLM built for agentic reasoning and high-volume workloads. Using a hybrid LatentMoE architecture (Mamba-2 + MoE + Attention) with Multi-Token Prediction (MTP) and native NVFP4 pretraining on 25T tokens, it delivers up to 2.2x higher throughput than GPT-OSS-120B and 7.5x higher than Qwen3.5-122B. With a native 1M-token context window and configurable thinking mode, it is purpose-built for collaborative agents, long-context reasoning, and IT automation across 7 languages.
input tokens
output tokens
Cached $0.43$0.35/1M cached tokens
from openai import OpenAI # Initialize the OpenAI client with Qubrid base URL client = OpenAI( base_url="https://platform.qubrid.com/v1", api_key="QUBRID_API_KEY", ) stream = client.chat.completions.create( model="nvidia/NVIDIA-Nemotron-3-Super-120B-A12B-FP8", messages=[ { "role": "user", "content": "Explain quantum computing in simple terms" } ], max_tokens=16000, temperature=1, top_p=0.95, stream=True ) for chunk in stream: if chunk.choices and chunk.choices[0].delta.content: print(chunk.choices[0].delta.content, end="", flush=True) print("\n") Enterprise
Platform Integration
Docker Support
Official Docker images for containerized deployments
Kubernetes Ready
Production-grade KBS manifests and Helm charts
SDK Libraries
Official SDKs for Python, Javascript, Go, and Java
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Agent Systems & Orchestration