Estimate your monthly Nvidia Nim API bill from your own workload and rates. Enter the prices from your Nvidia Nim account (per 1M tokens) — we don't publish competitor pricing because it changes often.
Input tokens/month: — · Output tokens/month: —
Monthly cost: —
Fill in your rates to see the estimate.
Plugsky plans are flat monthly with unlimited fair-use across 30+ models — compare on pricing, or start on the free plan (2 free models, no card).
This page estimates NVIDIA NIM API costs at your monthly token volume and compares them with Plugsky equivalents. It covers the NIM model catalogue, including Nemotron, Llama, Mistral and Gemma class models, with per-token input and output rates, projected monthly costs, free-tier limits and hidden costs. It is for teams deploying NVIDIA-accelerated inference who want a baseline before scaling. Results are estimates based on published pricing.
NIM is a set of optimised inference microservices for running models on NVIDIA hardware, available as hosted endpoints or self-hosted containers. It covers language, embedding and vision tasks. Pricing depends on how you consume it: per token on hosted endpoints, or per GPU when you run containers yourself.
Self-hosting NIM adds GPU purchase or rental, power, cooling, networking and operations staff, plus container updates and monitoring. Hosted endpoints avoid hardware but still involve gateway, egress and log storage costs. Compare the full picture rather than per-token rates alone.
Yes. Map each NIM model to a Plugsky equivalent and compare costs at the same token volume. Plugsky's OpenAI-compatible API covers 30+ models, so you can test an equivalent model by changing the base URL and key. A 14-day full-access trial is available.
Canonical pricing and plans: plugsky.com/#sec-pricing · Terms · SLA · Docs