Nemotron 3 Super is an advanced AI model suited for demanding production workloads, developed by NVIDIA and released in March 2026. As an open-weight model, its trained weights are publicly available — you can self-host it, fine-tune it on proprietary data, or run it on-premise without API dependencies. The 1M-token context window is large enough to hold entire codebases, lengthy technical documents, or extended agentic sessions without truncation.
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Nemotron 3 Super was released on March 11, 2026 as NVIDIA’s mid-tier open-weight model, using 12B active parameters from a 120B total MoE pool. Super was designed for organisations running existing NVIDIA H100 and H200 GPU clusters who wanted strong inference performance without the hardware upgrade to Blackwell. Super fits the recurring pattern of NVIDIA releasing paired model sizes — one for next-generation hardware buyers, one for current installed base.
Nemotron 3 Super80.0%Mistral Large 4—No scoreClaude Sonnet 5.5—No score
#28of 37Verified
What to Use Nemotron 3 Super For
Software Engineering
It handles code generation, bug fixing, and code review for typical development tasks, though frontier models score significantly higher on fully autonomous complex engineering.
Scientific & Technical Reasoning
It handles demanding scientific reasoning, research literature summarisation, and knowledge-intensive tasks across STEM disciplines.
Self-Hosted & Private Deployments
Nemotron 3 Super is open-weight (12B/120B MoE parameters) — its trained weights are publicly available for download and self-deployment. Run it on your own GPU hardware or private cloud to ensure data never leaves your environment, eliminate per-token API costs at scale, or fine-tune the model on proprietary datasets.
Long-Document & Codebase Analysis
With a 1M-token context window, Nemotron 3 Super can ingest entire software repositories, long legal contracts, book-length research reports, or extensive conversation histories in a single prompt — enabling deep document Q&A, cross-file codebase reasoning, and comprehensive summarisation without chunking heuristics or RAG pipelines.
About NVIDIASanta Clara, CA · Founded 1993 · nvidia.com
NVIDIA Corporation designs and sells graphics processing units (GPUs) and system-on-chip units that have become the dominant hardware platform for AI model training and inference globally, with an estimated 80-to-95-percent market share in datacentre AI accelerators. Founded in 1993 by Jensen Huang, Chris Malachowsky, and Curtis Priem, NVIDIA has expanded from its original gaming-graphics focus into a full-stack AI computing company. Its Nemotron model family reflects a vertical integration strategy: by releasing open-weight models optimised specifically for NVIDIA hardware, the company aims to demonstrate the value of its Blackwell-generation GPU clusters while shaping the open-weight ecosystem around NVIDIA-optimised software stacks.
Nemotron 3 Super is an advanced AI model suited for demanding production workloads, developed by NVIDIA and released in March 2026. It handles general AI tasks including writing, analysis, summarisation, and question answering.
Nemotron 3 Super is an open-weight model. Its trained weights are publicly available for download, self-hosting, and fine-tuning. You can run it on your own infrastructure without per-token API fees. Note that open-weight is not the same as open-source: the training code and data may not be fully public.
Nemotron 3 Super supports a 1M-token context window, large enough to hold entire codebases, lengthy technical documents, or extended agentic sessions without truncation.
Nemotron 3 Super is no longer available in FlowHunt. The AI Leaderboard shows which models you can use in FlowHunt today.
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