Models
Deploy and scale models on your GPU infrastructure of choice with NVIDIA NIM inference microservices
models
Nemotron 3.5 Super early-access reasoning model for agentic, coding, tool-calling, and multimodal workloadsFree Endpointnemotron-3.5-super-vl-120b-a12b
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
552B MoE, 8B active params with native multimodal support and lower API cost using smaller KV cacheDownloadableFree Endpointdeepseek-v4.1-flash
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
Muse Glimmer 30B is a multimodal reasoning model accepting text and images, with native tool-calling and separate reasoning output.DownloadableFree Endpointmuse-glimmer-30b
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
Multilingual, multimodal model for detecting unsafe and toxic content.DownloadableFree Endpointnemotron-3.5-content-safety
Multimodal question-answer retrieval representing user queries as text and documents as images.Downloadablellama-nemotron-embed-vl-1b-v2
FLUX.1 Kontext is a multimodal model that enables in-context image generation and editing.DownloadableFLUX.1-Kontext-dev
Multi-modal model to classify safety for input prompts as well output responses.Free Endpointllama-guard-4-12b
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