
Nemotron
NVIDIA's family of efficient, multimodal, open AI models built for long-running, self-evolving agents; Nano, Super and Ultra tiers.
โ Activeโ Public accessโ Open sourceMultimodalLLMReasoning model
Access:APIDownloadHostedDeployment:๐ป Localโ Cloud
Overview
Classification
MultimodalLLMReasoning model
Access & deployment
APIDownloadHosted
LocalCloud
Weights: Open source
Key parameters
โ Toolsย ยทย โ Fine-tuning
๐ฅ Input: text, image, audio, video
Technical specification
License
NVIDIA Open Model License
Hardware requirements
Open weights on Hugging Face; local deployment or via NVIDIA NIM microservices. Requirements vary across the Nano/Super/Ultra tiers.
Features:โ Tool useโ Fine-tuning
Modalities
โฌ Input
textimageaudiovideo
โฌ Output
textcodeaudio
Capabilities and applications
Native model capabilities
Reasoning
The model's ability to reason logically and solve complex problems.
Category: reasoning
Multi-step reasoning
Carrying out multi-step chains of reasoning across long, complex tasks.
Category: reasoning
Coding
Generating, analysing and modifying code in many programming languages. Covers writing functions, debugging, refactoring, code review, and creating tests. Measured by benchmarks such as HumanEval and SWE-bench.
Category: coding
Agentic capability
The model's ability to autonomously plan and execute multi-step tasks by sequentially using tools, maintaining context, and adapting to intermediate results.
Category: planning
Tool use
The model's ability to call external functions, APIs and tools during a conversation: calculator, search engine, code editor, database. The model decides when and how to use a tool and interprets its result.
Category: planning
Long context
Support for large context windows โ tens to hundreds of thousands (or millions) of input tokens. Enables analysis of entire codebases, long documents, and many parallel conversations without losing earlier information. GPT-5.1 supports 400,000 tokens.
Category: language
Multilingual
Competence in many natural languages (from a few to over a hundred): understanding, generation, translation, and code-switching within a single conversation. Frontier models support a wide range of languages with comparable quality.
Category: language
Structured output
Producing data in structured formats such as JSON.
Category: structured_generation
Technical architecture
Core Architecture
Model Form