When was Llama 3.1 Nemotron Nano 8B V1 released?

Llama 3.1 Nemotron Nano 8B V1 was released on March 18, 2025 by Nvidia. This is the official Llama 3.1 Nemotron Nano 8B V1 release date tracked on LLM Stats.

How big is Llama 3.1 Nemotron Nano 8B V1?

Llama 3.1 Nemotron Nano 8B V1 has 8 billion parameters. It ships as an open-weight model, so you can download and run it on your own hardware.

Who created Llama 3.1 Nemotron Nano 8B V1?

Llama 3.1 Nemotron Nano 8B V1 was created by Nvidia.

What is the license for Llama 3.1 Nemotron Nano 8B V1?

Llama 3.1 Nemotron Nano 8B V1 is released under the Llama 3.1 Community License license. This is an open-source / open-weight license that permits self-hosting.

What is the knowledge cutoff date for Llama 3.1 Nemotron Nano 8B V1?

Llama 3.1 Nemotron Nano 8B V1 has a knowledge cutoff of December 2023, meaning it was trained on data up to that point and may not know about events after it.

Where is the Llama 3.1 Nemotron Nano 8B V1 paper or technical report?

Llama 3.1 Nemotron Nano 8B V1 has a paper or technical report available at https://arxiv.org/abs/2502.00203. Use that source for architecture, training, release and evaluation details.

What models should I compare Llama 3.1 Nemotron Nano 8B V1 against?

Common Llama 3.1 Nemotron Nano 8B V1 comparisons include Llama 3.1 Nemotron Nano 8B V1 vs GPT-4o, Llama 3.1 Nemotron Nano 8B V1 vs Grok-2, Llama 3.1 Nemotron Nano 8B V1 vs Qwen2.5 32B Instruct. Compare them side by side for benchmark scores, pricing, context window, latency and API availability.

Llama 3.1 Nemotron Nano 8B V1 API Pricing, Context Window & Benchmarks

Name: Llama 3.1 Nemotron Nano 8B V1
Author: Nvidia

Llama 3.1 Nemotron Nano 8B V1: API Pricing, Context Window & Benchmarks

Llama 3.1 Nemotron Nano 8B V1 is a language model from Nvidia, released in March 2025.

Llama-3.1-Nemotron-Nano-8B-v1 is a large language model (LLM) which is a derivative of Meta Llama-3.1-8B-Instruct (AKA the reference model). It is a reasoning model that is post trained for reasoning, human chat preferences, and tasks,

Llama 3.1 Nemotron Nano 8B V1 benchmarks

Capability tiers

Standing within each category, adjusted for leaderboard depth.

Real tasks performance

High-confidence performance for Llama 3.1 Nemotron Nano 8B V1 across real-world prompt categories. Only 95% intervals at most 4 points wide are shown.

Performance by conversation depth

How Llama 3.1 Nemotron Nano 8B V1 holds up as conversations get longer.

Quality Tracker

Llama 3.1 Nemotron Nano 8B V1 Performance Across Datasets

Scores sourced from the model's scorecard, paper, or official blog posts

llm-stats.com - Sun Sep 06 2026

Notice missing or incorrect data?

Llama 3.1 Nemotron Nano 8B V1 model size

Llama 3.1 Nemotron Nano 8B V1 has 8 billion parameters. See how it compares to other models in the same parameter range.

Parameters

Small (3–10B)

1B7B70B405B

Llama 3.1 Nemotron Nano 8B V1 API

API availability not verified

API availability for Llama 3.1 Nemotron Nano 8B V1 has not been verified. It is not currently routed through the LLM Stats gateway.

Llama 3.1 Nemotron Nano 8B V1 latency

Llama 3.1 Nemotron Nano 8B V1 time to first token, sustained output throughput, and failed-request rate from live API traffic over the trailing 7 days.

Llama 3.1 Nemotron Nano 8B V1 examples

Recent arena outputs from Llama 3.1 Nemotron Nano 8B V1, picked from the highest-ranked matchups.

Llama 3.1 Nemotron Nano 8B V1 license

Llama 3.1 Nemotron Nano 8B V1 is released under the Llama 3.1 Community License license, which restricts commercial use, has 8.0B parameters, has a knowledge cutoff of December 2023.

License: Llama 3.1 Community License; Non-commercial
Parameters: 8.0B
Knowledge cutoff: December 2023

Llama 3.1 Nemotron Nano 8B V1 resources

Official sources for Llama 3.1 Nemotron Nano 8B V1: official playground, paper or system card, official launch post, model weights.

Llama 3.1 Nemotron Nano 8B V1 vs other models

The most-compared alternatives to Llama 3.1 Nemotron Nano 8B V1 are GPT-4o, Grok-2, Qwen2.5 32B Instruct. Open any pair side-by-side for benchmarks, pricing, context, and latency.