Loading...
Loading...
NVIDIA NIM serves optimized models via NVIDIA's inference cloud — including Nemotron and third-party flagship models with NVIDIA acceleration.
12
indexed models
37
total catalog
$0.000
cheapest model
1
free / open source
| Model | Input $/1M | Output $/1M | Context | |
|---|---|---|---|---|
NVIDIA Nemotron-4 340B Instruct NVIDIA Nemotron-4 340B Instruct is a large open language model trained to generate diverse synthetic data for training other LLMs. Strong at following instructions, classification, and generating reward model training data. | — | — | 4k | |
NVIDIA: Nemotron 3.5 Lightning NVIDIA Nemotron 3.5 Lightning is an open mixture-of-experts model from NVIDIA, with 3B active parameters out of 30B total. It is suited for high-throughput agentic workloads and specialized tasks that... | $0.070 | $0.200 | 262k | |
Compare NVIDIA models side-by-side
See price, speed, and benchmark differences between any two models.
NVIDIA Nemotron 3.5 Super VL is an open multimodal mixture-of-experts model from NVIDIA, with 12B active parameters out of 120B total. It takes text, images, documents, GUI screenshots, and video...
| $0.150 |
| $0.500 |
| 1.048576M |
NVIDIA: Llama 3.3 Nemotron Super 49B V1.5 Llama-3.3-Nemotron-Super-49B-v1.5 is a 49B-parameter, English-centric reasoning/chat model derived from Meta’s Llama-3.3-70B-Instruct with a 128K context. It’s post-trained for agentic workflows (RAG, tool calling) via SFT across math, code, science, and... | $0.400 | $0.400 | 131k |
nemotron-3-120b-a12b NVIDIA Nemotron 3 Super is a hybrid MoE model with leading accuracy for multi-agent applications and specialized agentic AI systems. | $0.500 | $1.500 | 256k |
NVIDIA: Llama 3.1 Nemotron Ultra 253B v1 Llama-3.1-Nemotron-Ultra-253B-v1 is a large language model (LLM) optimized for advanced reasoning, human-interactive chat, retrieval-augmented generation (RAG), and tool-calling tasks. Derived from Meta’s Llama-3.1-405B-Instruct, it has been significantly customized using Neural... | $0.600 | $1.800 | 131k |
NVIDIA: Llama 3.1 Nemotron 70B Instruct NVIDIA's Llama 3.1 Nemotron 70B is a language model designed for generating precise and useful responses. Leveraging [Llama 3.1 70B](/models/meta-llama/llama-3.1-70b-instruct) architecture and Reinforcement Learning from Human Feedback (RLHF), it excels... | $1.200 | $1.200 | 131k |
Nvidia Parakeet TDT 0.6B V3 This lightweight 0.6 billion parameter text-to-speech model excels at converting written text into natural-sounding speech with low latency, making it ideal for developers and enterprises who need efficient on-device or edge deployment of voice synthesis applications. | — | — | 0k |
NVIDIA: Nemotron Nano 9B V2 (free) NVIDIA-Nemotron-Nano-9B-v2 is a large language model (LLM) trained from scratch by NVIDIA, and designed as a unified model for both reasoning and non-reasoning tasks. It responds to user queries and... | — | — | 128k |
NVIDIA: Nemotron Nano 12B 2 VL (free) NVIDIA Nemotron Nano 2 VL is a 12-billion-parameter open multimodal reasoning model designed for video understanding and document intelligence. It introduces a hybrid Transformer-Mamba architecture, combining transformer-level accuracy with Mamba’s... | — | — | 128k |
NVIDIA: Nemotron 3 Nano 30B A3B (free) NVIDIA Nemotron 3 Nano 30B A3B is a small language MoE model with highest compute efficiency and accuracy for developers to build specialized agentic AI systems. The model is fully... | — | — | 256k |
NVIDIA: Nemotron 3 Super (free) NVIDIA Nemotron 3 Super is a 120B-parameter open hybrid MoE model, activating just 12B parameters for maximum compute efficiency and accuracy in complex multi-agent applications. Built on a hybrid Mamba-Transformer... | — | — | 1M |