Use NVIDIA Nemotron 3 Ultra for Free

NVIDIA Nemotron 3 Ultra is an AI model released 2026-04 by NVIDIA, a leading organization in large language model research. NVIDIA Nemotron 3 Ultra — high-performance open model optimized for enterprise AI, reasoning, and agentic workflows. With ~340B (NVIDIA ultra-scale, exact size proprietary) and a 128K tokens context window, NVIDIA Nemotron 3 Ultra is designed to excel across a range of demanding tasks — from software engineering and mathematical problem-solving to multilingual content generation and long-document analysis.

NVIDIA Nemotron 3 Ultra uses a dense transformer architecture with ~340B (NVIDIA ultra-scale, exact size proprietary) of parameters, all of which are active for every input token. Dense architectures provide predictable, consistent behavior across diverse task types — there are no "cold" experts to warm up, and quality is uniform across prompts. NVIDIA's training pipeline combined large-scale pretraining on a large-scale multilingual pretraining dataset with supervised fine-tuning and alignment techniques (RLHF or DPO), producing NVIDIA Nemotron 3 Ultra's characteristic balance of capability, helpfulness, and safety.

As of 2026-10-16, NVIDIA Nemotron 3 Ultra by NVIDIA demonstrates measurable performance on standard AI evaluation benchmarks. On MMLU — which tests world knowledge across 57 academic subjects from elementary to professional level — it achieves 92.6%. For software engineering tasks, NVIDIA Nemotron 3 Ultra scores 91.4% on HumanEval, which tests ability to write correct functions from docstrings. In mathematical reasoning, NVIDIA Nemotron 3 Ultra records 90.8% on MATH. Across all 4 benchmarks tracked, the model shows consistent capability in its primary task domains. These scores place NVIDIA Nemotron 3 Ultra — at ~340B (NVIDIA ultra-scale, exact size proprietary) of parameters — in a competitive position within its model class. Note that benchmark scores reflect controlled evaluation conditions; real-world performance varies by task, prompt design, and domain specificity.

The primary strengths of NVIDIA Nemotron 3 Ultra are: NVIDIA's flagship frontier model — elite benchmark performance leveraging NVIDIA's deep AI hardware expertise; Exceptionally optimized for NVIDIA GPU infrastructure: fastest inference of any model at its capability tier on H100/H200; Enterprise-grade safety and alignment training for production deployment in regulated industries; Excellent at synthetic data generation — used internally by NVIDIA to train other AI models. These make it particularly well-suited for Enterprise AI deployment on NVIDIA GPU clusters (H100, H200, GB200 hardware), Synthetic data generation for training smaller domain-specific models, Scientific computing and research in physical sciences, drug discovery, and engineering, Production RAG (Retrieval Augmented Generation) pipelines at enterprise scale. Users working on complex, multi-step problems benefit most from NVIDIA Nemotron 3 Ultra's ability to maintain coherence across long inputs and produce structured, verifiable outputs.

Like all current AI systems, NVIDIA Nemotron 3 Ultra has limitations: Primarily optimized for NVIDIA's ecosystem — maximum performance requires NVIDIA hardware; Proprietary enterprise model — self-hosting requires NVIDIA AI Enterprise licensing; Less prominent in open community benchmarks vs Anthropic, OpenAI, and Google models. For production deployments, validating outputs against authoritative sources — especially for domain-specific or time-sensitive information — remains best practice. NVIDIA continues to improve NVIDIA Nemotron 3 Ultra through ongoing research.

NVIDIA Nemotron 3 Ultra is available on LITHOVEX AI with a free account. Unlike direct API access — which requires billing setup, API key management, and per-token charges — LITHOVEX AI provides a seamless browser interface with no setup required, making NVIDIA Nemotron 3 Ultra accessible to students, researchers, developers, and early-stage teams globally.

As of 2026-10-16, NVIDIA Nemotron 3 Ultra by NVIDIA demonstrates measurable performance on standard AI evaluation benchmarks. On MMLU — which tests world knowledge across 57 academic subjects from elementary to professional level — it achieves 92.6%. For software engineering tasks, NVIDIA Nemotron 3 Ultra scores 91.4% on HumanEval, which tests ability to write correct functions from docstrings. In mathematical reasoning, NVIDIA Nemotron 3 Ultra records 90.8% on MATH. Across all 4 benchmarks tracked, the model shows consistent capability in its primary task domains. These scores place NVIDIA Nemotron 3 Ultra — at ~340B (NVIDIA ultra-scale, exact size proprietary) of parameters — in a competitive position within its model class. Note that benchmark scores reflect controlled evaluation conditions; real-world performance varies by task, prompt design, and domain specificity.

Proprietary NVIDIA Nemotron architecture — enterprise-optimized transformer, NVIDIA TensorRT inference acceleration, frontier-class scale

The training pipeline for NVIDIA Nemotron 3 Ultra involves multiple stages: large-scale pretraining on diverse multilingual text and code corpora to develop broad world knowledge, followed by supervised fine-tuning on instruction-response pairs, and alignment techniques such as RLHF or DPO. Each stage refines the model's helpfulness, accuracy, and safety.

Inference efficiency: NVIDIA Nemotron 3 Ultra at ~340B (NVIDIA ultra-scale, exact size proprietary) is designed to deliver quality outputs at practical serving speeds. Its 128K tokens context window enables processing entire documents, multi-file codebases, and extended conversation histories — particularly valuable for contract review, technical documentation analysis, and codebase-level AI assistance.

Getting started with NVIDIA Nemotron 3 Ultra on LITHOVEX AI takes under two minutes. Follow these steps:

For best results with NVIDIA Nemotron 3 Ultra: provide specific, context-rich prompts; include examples when generating code; specify output format when structure matters; break complex tasks into focused sub-questions. Since NVIDIA Nemotron 3 Ultra supports extended reasoning, prompting it to "think step by step" or "show your reasoning" activates deeper chain-of-thought analysis for math, logic, and complex problems.

NVIDIA is the world's dominant AI hardware company and an increasingly significant AI model contributor. Known primarily for its GPUs — which underpin over 80% of global AI training workloads — NVIDIA also develops model families directly: the Nemotron series demonstrates what can be achieved with NVIDIA's proprietary training pipelines and hardware expertise. Nemotron-Nano focuses on reasoning efficiency, delivering competitive benchmark performance with far fewer parameters than frontier models. NVIDIA's dual role as chipmaker and model developer gives it unique insight into optimizing models for inference efficiency on its own hardware. With a market capitalization exceeding $2 trillion, NVIDIA is the backbone of the modern AI infrastructure stack.

Founded: 1993.

Visit the official NVIDIA website →

NVIDIA Nemotron 3 Ultra by NVIDIA competes in a field with several strong alternatives. Below is a detailed side-by-side comparison against commonly listed alternatives, using benchmark data and capability profiles in the catalog.

Both NVIDIA Nemotron 3 Ultra and the models above are available free on LITHOVEX AI — test them side by side on your real tasks before committing to a subscription with any provider.

NVIDIA Nemotron Ultra represents NVIDIA's entry into frontier AI models, combining their deep hardware optimization knowledge with competitive model training. Enterprise customers on NVIDIA infrastructure globally benefit from the model's optimization for NVIDIA GPUs.

NVIDIA Nemotron 3 Ultra by NVIDIA has the following version history and notable updates:

For the complete changelog and latest release notes, visit the official NVIDIA model page.