Provider pricing
Nvidia AI API pricing
NVIDIA serves its Nemotron foundation models through NIM (NVIDIA Inference Microservices) on build.nvidia.com, with mirror pricing on DeepInfra, Together AI, and Fireworks. The lineup spans the flagship Nemotron 3 Super 120B (hybrid Mamba-Transformer MoE, 262K context, launched at GTC March 2026) down to the ultra-cheap Nemotron Nano 9B v2 at $0.10/M input — all optimized for TensorRT-LLM inference on NVIDIA GPUs.
Founded2024 (NIM launch — Nvidia Corp founded 1993)
HeadquartersSanta Clara, CA
Tracked models6
Best for
Teams running on NVIDIA GPUs, agentic workloads needing long context, or self-hosting via NIM containers.
Strengths
- Nemotron 3 Super: hybrid Mamba-Transformer MoE — 0.2× throughput overhead, 262K context
- TensorRT-LLM optimized — top-tier latency on H100/H200 hardware
- Strong agentic + tool-use performance, NeMo Guardrails ready
- Nemotron Nano 9B v2 at $0.10/M input — competitive with the cheapest tier
Tracked Nvidia models
| Model | Input $/M | Output $/M | Context | Tier | Best for |
|---|---|---|---|---|---|
| Nemotron 3 Super 120B | $0.300 | $0.800 | 262,000 | Reasoning | Hybrid Mamba-Transformer MoE — agentic reasoning, long context |
| Llama 3.3 Nemotron Super 49B | $0.400 | $0.400 | 128,000 | Flagship | NVIDIA-tuned Llama for tool use and instruction following |
| Nemotron Nano 9B v2 | $0.100 | $0.300 | 128,000 | Budget | Cheapest fast Nemotron — high-throughput agents and RAG |
| Llama 3.1 Nemotron 70B Instruct | $0.400 | $0.400 | 128,000 | Flagship | NVIDIA-tuned Llama 70B with strong arena scores |
| Nemotron Mini 4B Instruct | $0.080 | $0.080 | 4,096 | Budget | Tiny on-device Nemotron for edge inference |
| Nemotron 4 Ultra | $0.800 | $2.40 | 256,000 | Flagship | Frontier Nemotron MoE for agentic reasoning and tool use |