NVIDIA: Nemotron 3 Super (free)
Agentic reasoning. Fully open.
Built for autonomous agents
Sparse MoE
120B parameters, 12B active
Frontier-class reasoning at fraction of compute cost with latent mixture-of-experts architecture.
Long context
1M token window
Agents retain full workflow state without truncation for multi-step reasoning and planning.
Native efficiency
4x faster inference
NVFP4 pretraining delivers 4x speedup on Blackwell GPUs versus FP8 on Hopper.
Examples
See what NVIDIA: Nemotron 3 Super (free) can create
Copy any prompt below and try it yourself in the playground.
IT ticket routing
“Analyze this support ticket, classify severity and category, extract required information, and route to appropriate team with reasoning.”
Multi-step research
“Research the latest developments in renewable energy, synthesize findings across multiple documents, and generate a comprehensive analysis with citations.”
Code generation
“Generate Python function to process API responses, handle edge cases, include error handling, and add comprehensive docstrings.”
Agent orchestration
“Plan a multi-step workflow to migrate database schema, coordinate between teams, track dependencies, and generate status reports.”
For Developers
A few lines of code.
Reasoning agents. Three lines.
ModelsLab handles the infrastructure: fast inference, auto-scaling, and a developer-friendly API. No GPU management needed.
- Serverless: scales to zero, scales to millions
- Pay per token, no minimums
- Python and JavaScript SDKs, plus REST API
import requestsresponse = requests.post("https://modelslab.com/api/v7/llm/chat/completions",json={"key": "YOUR_API_KEY","prompt": "","model_id": ""})print(response.json())
Ready to create?
Start generating with NVIDIA: Nemotron 3 Super (free) on ModelsLab.