---
title: "Nemotron Mini 4B — LLM-TEST.com"
url: /models/nemotron-mini-4b/
canonical_url: https://llm-test.com/models/nemotron-mini-4b/
language: en
type: model
summary: "A compact open-weight model sized for on-device and edge deployment, where it runs locally with no cloud dependency."
last_updated: "2026-11-05"
---

# Nemotron Mini 4B

_NVIDIA · Fast · open weights_

A compact open-weight model sized for on-device and edge deployment, where it runs locally with no cloud dependency.

## At a glance

- Released: Mar 5, 2026
- Provider: NVIDIA
- Context window: 128,000 tokens
- Max output: 8,000 tokens
- Modalities: Text → text
- Knowledge cutoff: December 2025
- API model ID: `nemotron-mini-4b`
- License: Open weights (NVIDIA Open Model License)

## Pricing

- Standard: $0.06 input / $0.24 output per 1M tokens (aggregator estimate)
- Example: a 1,500-token prompt + 650-token answer ≈ $0.0002 (standard)

## Best use cases

- **On-device assistants** — Runs locally on laptops and edge boxes for private, offline use.
- **Embedded tasks** — Handles extraction and short-form generation inside constrained hardware.
- **Draft-and-verify** — Acts as a cheap drafter in speculative decoding with larger Nemotrons.

## Strengths

- Tiny and fast
- Runs on edge hardware
- Open weights

## Limitations

- Limited reasoning depth
- Small context versus siblings

## Where to get access

- API: build.nvidia.com (NVIDIA NIM) — https://build.nvidia.com
- Also available: downloadable from NGC and Hugging Face
- Docs: https://docs.api.nvidia.com

Full comparison and live pricing: https://llm-test.com/ · directory: https://llm-test.com/models/