NVIDIA NIM vs OpenAI API API Pricing (2026) — Per-Token Cost Comparison

NVIDIA NIM vs OpenAI API

LLM API Providers pricing comparison · 2026

NVIDIA NIM pricing ranges from $0.1–$10/per million tokens, while OpenAI API ranges from $0.02–$270/per million tokens. These products use different pricing models (Per-seat subscription vs Usage-based (pay per token/image/minute)), so a direct price comparison isn't meaningful — costs depend on usage volume and mix.

LLM API Providers

NVIDIA NIM

$0.1–$10
/per million tokens
3 plans · Free tier
Full pricing breakdown →
VS
LLM API Providers

OpenAI API

$0.02–$270
/per million tokens
3 plans
Full pricing breakdown →

Different Pricing Models

Direct price comparison isn't meaningful here — NVIDIA NIM uses Per-seat subscription pricing while OpenAI API uses Usage-based (pay per token/image/minute) pricing. Your actual cost will depend on usage volume, team size, or both. Here's each product in its native unit.

Per-seat subscription

NVIDIA NIM

$0.1–$10 / per million tokens
See full NVIDIA NIM pricing →
vs
Usage-based (pay per token/image/minute)

OpenAI API

From $0.02 per 1M cached input tokens
See full OpenAI API pricing →

NVIDIA NIM and OpenAI API are two leading LLM API providers. This page compares their per-token pricing, available models, and tier structure so you can pick the right backend for your workload — whether you're optimizing for cost per 1M tokens, latency, or model quality.

Plan-by-Plan Pricing

Plan NVIDIA NIM OpenAI API
Developer (Free credits) Free /month Custom
Pay-as-you-go (hosted NIM endpoints) Custom Custom
Enterprise (AI Enterprise license + DGX Cloud) Custom Custom

Cost at Scale

Total cost of ownership — licenses, implementation, and hidden costs included.

NVIDIA NIM

3 scenarios
$0
Developer Evaluation
$5.20/month ($62.40/year)
Small team at median token pricing
$120/month ($1,440/year)
Production app on Llama 3.1 Nemotron 70B

OpenAI API

4 scenarios
$9.00/month
High-Volume Chatbot (nano)
$26.00/month
Production App (GPT-4.1)
$13.00/month
Reasoning Tasks (o3)
See all 4 scenarios →