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Nemotron 3.5 Super early-access reasoning model for agentic, coding, tool-calling, and multimodal workloadsFree Endpointnemotron-3.5-super-vl-120b-a12b
Multi-modal model to classify safety for input prompts as well output responses.Free Endpointllama-guard-4-12b
Mistral Large 4 from Mistral AI, a 1T-total / 52B-active granular MoE for text and image input with reasoning, function calling and structured outputs, served in NVFP4 with DSpark speculative decoding.Free EndpointMistral Large 4
Preview of StepFun's Step 5: ~600B-total / 27B-active multimodal MoE (text and image in, text out) with 1M context, reasoning and tool calling, served in NVFP4.Free EndpointStep 5 Preview
Multimodal 320B-total / 18B-active MoE with hybrid KDA and sparse MLA attention, native FP8 weights, reasoning and tool calling.Free Endpointglm-5-3-flash
552B MoE, 8B active params with native multimodal support and lower API cost using smaller KV cacheDownloadableFree Endpointdeepseek-v4.1-flash
Muse Glimmer 30B is a multimodal reasoning model accepting text and images, with native tool-calling and separate reasoning output.DownloadableFree Endpointmuse-glimmer-30b
Build Real-Time, Multimodal Voice Agents with NVIDIA Nemotron NIM.GeneralLaunchableDeveloper ExampleNemotron Voice Agent
Multilingual, multimodal model for detecting unsafe and toxic content.DownloadableFree Endpointnemotron-3.5-content-safety
FLUX.1 Kontext is a multimodal model that enables in-context image generation and editing.DownloadableFLUX.1-Kontext-dev
Multimodal question-answer retrieval representing user queries as text and documents as images.Downloadablellama-nemotron-embed-vl-1b-v2
1B multimodal embedding model for text and document-image retrieval in RAG applications.Free Endpointnemotron-3.5-embed-1b
8B multimodal embedding model for text and document-image retrieval in RAG applications.Free Endpointnemotron-3.5-embed-8b
MiniMax-M3.1-Flash is a native multimodal mixture-of-experts model for coding, agentic workflows, computer use, and cybersecurity.Free Endpointminimax-m3.1-flash
8B multimodal reranking model that scores how relevant a text or document-image passage is to a query.Free Endpointnemotron-3.5-rerank-8b
NVIDIA-Ising-Calibration-1.5 is a dense multimodal vision-language model built on Gemma 4 31B. It analyzes quantum computing calibration experiment plots and generates structured technical text.Free Endpointising-calibration-1.5-31b
Practical guidance for training MoE VLMs in Megatron Bridge. Compares FSDP and 3D-parallel approaches, using rounded lessons from Qwen3-VL, Qwen3-Next, and other multimodal experiments. Power fast, accurate semantic search across multimodal enterprise data with NVIDIA’s RAG Blueprint—built on NeMo Retriever and Nemotron models—to connect your agents to trusted, authoritative sources of knowledge.GeneralLaunchableDeveloper ExampleBuild a RAG Pipeline Blueprint
Generates BYO custom safety policies for NVIDIA Nemotron content-safety guardrails — Nemotron-Content-Safety-Reasoning-4B (text) and multimodal Nemotron-3-Content-Safety. Produces a Markdown policy, JSON taxonomy, and drop-in inference prompts. Maps rough
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