Nemotron 3 Ultra is a top-tier frontier AI model, developed by NVIDIA and released in June 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. It supports a 262K-token context window, adequate for most documents and multi-turn applications.
Read moreShow less
Nemotron 3 Ultra was released on June 4, 2026 as NVIDIA’s top open-weight language model, designed for deployment on Blackwell-generation GPU clusters (B200, GB200 NVLink). At 55B active parameters from a 550B total MoE pool, Ultra was built to maximise accuracy on NVIDIA hardware using TensorRT-LLM’s Blackwell-specific optimisations. At launch it held the highest Artificial Analysis Intelligence Index score of any fully open-weight model — making it the benchmark reference for enterprise customers investing in NVIDIA’s Blackwell infrastructure who wanted an included, inference-optimised model alongside their hardware purchase.
Nemotron 3 Ultra28.4%GPT-6.1 Sol52.9%Claude Opus 5.561.4%
#34of 44Verified
GPQA Diamond
Graduate-level science questions that search cannot answer.
Nemotron 3 Ultra86.7%GPT-6.1 Sol—No scoreClaude Opus 5.5—No score
Not rankedSelf-reported
What to Use Nemotron 3 Ultra For
Scientific & Technical Reasoning
It handles demanding scientific reasoning, research literature summarisation, and knowledge-intensive tasks across STEM disciplines.
Self-Hosted & Private Deployments
Nemotron 3 Ultra is open-weight (55B/550B 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.
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 Ultra is a top-tier frontier AI model, developed by NVIDIA and released in June 2026.
Nemotron 3 Ultra 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 Ultra supports a 262K-token context window, adequate for most documents and multi-turn applications.
Nemotron 3 Ultra is no longer available in FlowHunt. The AI Leaderboard shows which models you can use in FlowHunt today.
Nemotron 3 Super — Benchmarks, Capabilities, and Use Cases
Nemotron 3 Super is a open-weight AI model from NVIDIA (12B/120B MoE), classified as Advanced tier with a 1M tokens context window. Explore benchmark scores, st...
MiniMax M3 — Benchmarks, Capabilities, and Use Cases
MiniMax M3 is a open-weight AI model from MiniMax (MoE (undisclosed)), classified as Frontier tier with a 1M tokens context window. It is available directly in ...
Mistral Large 3 — Benchmarks, Capabilities, and Use Cases
Mistral Large 3 is a open-weight AI model from Mistral (41B/675B MoE), classified as Advanced tier with a 256K tokens context window. It is available directly i...
4 min read
Cookie Consent We use cookies to enhance your browsing experience and analyze our traffic. See our privacy policy.
