NVIDIA Nemotron 3 Nano 30B A3B BF16

NVIDIA Nemotron 3 Nano 30B A3B BF16

1.0
Model IDNVIDIA-Nemotron-3-Nano-30B-A3B-BF16
Compare with other models

Nemotron 3 Nano 30B-A3B is NVIDIA's flagship open reasoning model, featuring a revolutionary hybrid Mamba-Transformer Mixture-of-Experts architecture. With 31.6B total parameters but only 3.2B active per forward pass, it delivers up to 3.3× higher throughput than comparable models while achieving state-of-the-art accuracy on reasoning, coding, and agentic benchmarks. The model supports up to 1M token context length and features configurable reasoning depth with thinking budget control.

128k Tokens ContextFast InferenceCodingFunction CallingMultilingual
Save 20%
$0.05$0.04/1M

input tokens

$0.20$0.16/1M

output tokens

Cached $0.05$0.04/1M 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-Nano-30B-A3B-BF16", messages=[ { "role": "user", "content": "Explain quantum computing in simple terms" } ], max_tokens=8192, temperature=0.3, top_p=1, stream=True, extra_body={ "enable_thinking": True, "thinking_budget": 16384, } ) 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

Docker Support

Official Docker images for containerized deployments

Kubernetes

Kubernetes Ready

Production-grade KBS manifests and Helm charts

SDK

SDK Libraries

Official SDKs for Python, Javascript, Go, and Java

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