NVIDIA

Nemotron 3.5 Bolt E4B is NVIDIA's open-weight 8B-parameter small language model, post-trained from Gemma 4 E4B. It improves multi-turn tool use, instruction following and input grounding for voice and device assistants. Context window is 65,536 tokens.

Nemotron 3.5 Embed 1B is NVIDIA's 1.55B-parameter multimodal and multilingual retrieval embedding model. It embeds text in 34 evaluated languages and document-page images into one 2048-dimension vector for semantic search and RAG. Context is 32,768 tokens.

Nemotron 3.5 Embed 8B is NVIDIA's 8.38B-parameter multimodal and multilingual retrieval embedding model. It embeds text in 34 evaluated languages and document-page images into one 4096-dimension vector for semantic search and RAG. Context is 32,768 tokens.

Nemotron 3.5 Super VL 120B A12B is NVIDIA's vision-language model for reasoning, coding and tool use. It is a hybrid Mamba-2 and Transformer mixture-of-experts with 120B total and 12B active parameters. It takes text, image and video input.

Nemotron Parse 2.0 is NVIDIA's document-understanding vision-language model. A page image goes in and structured text comes out as markdown, layout classes, bounding boxes and reading order. It does not generate images, and its context is 8,192 tokens.

Nemotron 3.5 Lightning 30B A3B is NVIDIA's sparse mixture-of-experts chat model, optimized for low-latency agentic workloads. It supports function calling and coding. It allows up to 131,072 output tokens.

Riva Translate 4B Instruct v2 is NVIDIA's compact 4B-parameter instruction-tuned model for neural machine translation. It covers 30+ languages. Context window is 4,096 tokens.

Nemotron 3 Embed 1B is NVIDIA's 1.14B-parameter multilingual text embedding model covering 34 languages. It returns 2048-dimension vectors for semantic search, retrieval and RAG. It is built on Ministral-3-3B-Instruct and has a 32,768-token context.

Nemotron-3 Nano Omni 30B-A3B (Reasoning) is NVIDIA's multimodal mixture-of-experts model for video, audio, image and text understanding. It targets enterprise Q&A, summarization, transcription and OCR, and supports reasoning and function calling.

Nemotron-3 Nano 30B is a compact 30B-parameter text model from NVIDIA's Nemotron-3 family. It is tuned for fast, efficient text generation and understanding, with chat and streaming.

NVIDIA Nemotron 3 Ultra is built for frontier reasoning, orchestration, coding agents and deep research. It supports up to 1M token context, function calling and structured output, and targets complex enterprise workflows.

Nemotron-3 Super 120B is NVIDIA's 120B-parameter reasoning model from the Nemotron-3 family. It supports tool calling and coding, and takes text input and returns text.

Nemotron 3.5 Content Safety is NVIDIA's open-weight 4B-parameter multimodal guardrail model, fine-tuned from Google Gemma-3-4B. It moderates inputs to and responses from LLMs and VLMs. It returns a safety classification, category labels and optional reasoning.

Nemotron 3 Ultra 550B is NVIDIA's 550B-parameter frontier model with 55B active, on a LatentMoE hybrid of Mamba-2, MoE and Attention. It has configurable reasoning through enable_thinking. It suits agentic workflows, long-context analysis and tool use.