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NVIDIA

NVIDIA is a leading AI infrastructure and model provider delivering high-performance multimodal and reasoning models, optimized for accelerated computing, enterprise-scale deployment, and next-generation generative AI applications across industries.

Built on world-class GPU infrastructure, NVIDIA models are designed for high-throughput, cost-efficient AI workloads. ModelCosts.com helps you benchmark inference costs, compare deployment options, and optimize spend across NVIDIA-hosted APIs or self-hosted environments using detailed pricing insights and alerts.

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Provider Details

  • Headquarter: Santa Clara, California, USA
  • Notable Models: Nemotron 3 Super, Nemotron 3 Omni, Isaac GR00T N1, Cosmos 3, Fugatto

Model Release Timeline

Active Legacy Deprecated
NVIDIA is a global leader in accelerated computing, extending its dominance from GPUs into AI models and full-stack AI platforms. Its model lineup, including Nemotron-4 for large language tasks, NVLM-D for multimodal capabilities, and Cosmos-1 for generative world models, is designed for high-performance enterprise use. NVIDIA provides access through NVIDIA AI Foundation models, NIM microservices, and DGX Cloud, enabling flexible deployment from cloud to on-premise environments. These models power applications such as copilots, simulations, and robotics. With ModelCosts.com, teams can evaluate NVIDIA AI pricing, compare infrastructure strategies, and optimize total cost of ownership for large-scale AI deployments.
Selling Points:
- Full-stack AI leadership: Combines models, GPUs, and infrastructure for unmatched performance and optimization.
- High-performance models: Nemotron and NVLM series deliver strong results in language, multimodal, and simulation tasks.
- Flexible deployment: Run via APIs, DGX Cloud, or on-premise clusters depending on cost and control requirements.
- Enterprise-grade scalability: Designed for massive workloads, from AI copilots to digital twins and robotics.
- Cost optimization flexibility: ModelCosts.com helps compare hosted vs self-hosted costs and track inference efficiency.
- Strategic advantage: Deep integration between hardware and AI models enables superior throughput and cost-performance ratios.

Quick Model Estimate

(USD N/A per 1M tokens)
(USD N/A per 1M tokens)

Your GPT-5 Cost Estimate

💰 Total Cost

USD 3.00

for 1000 input + 1000 output tokens

📥 Input (1000 × $N/A) USD 1.5000
📤 Output (1000 × $N/A) USD 1.5000

Cost Breakdown

📥 Input 50% 📤 Output 50%

Prices updated daily from official provider data.

Pricing

Model
Modality
Tier
Input Price
(per 1M tokens)
Output Price
(per 1M tokens)
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No pricing data available.